MScProgrammehandbook0909

Programme Handbook

MSc Systems Engineering (pathway) and Engineering Management

25th July 2008

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Contents

1 INTRODUCTION ............................................................................................. 5

2 PERSONNEL .................................................................................................. 6

3 OPENING HOURS OF RELEVANT OFFICES ................................................ 7

4 POLICIES AND PROCEDURES ..................................................................... 8

5 COMMUNICATION SYSTEMS ....................................................................... 8

6 PASTORAL SUPPORT AND GUIDANCE ...................................................... 9

6.1 Support and mentoring at South Westfalia University of Applied Sciences ................................. 9

7 ACADEMIC SUPPORT AND GUIDANCE .................................................... 10

8 ASSESSMENT PROCEDURES .................................................................... 10

8.1 Learning and Teaching Strategy ..................................................................................................... 11

8.2 Modules Available on the Course ................................................................................................... 12

8.3 Module Assessment Strategy ........................................................................................................... 13

8.4 Assessment Criteria and Marks ...................................................................................................... 14

8.5 Submitting Assignments .................................................................................................................. 15

8.6 Penalty Scheme for Late Submission of Assessed Work ............................................................... 15

8.7 Assessment Definitions ..................................................................................................................... 16

8.8 Assessment of Individual Modules .................................................................................................. 16

8.9 Referral ............................................................................................................................................. 17

8.10 Compensation/Condonement .......................................................................................................... 17

9 ATTENDANCE AND WITHDRAWAL ........................................................... 17

9.1 Attendance for Assessment .............................................................................................................. 18

9.2 Withdrawal ....................................................................................................................................... 18

10 PROGRAMME SPECIFICATION DOCUMENT ......................................... 19

Postgraduate Certificate ............................................................................................................................... 29

Postgraduate Diploma ................................................................................................................................... 29

Masters Degree .............................................................................................................................................. 29

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11 PROFESSIONAL BODY ACCREDITATION ............................................. 30

12 PROGRAMME STRUCTURE AND CONTENT ......................................... 30

13 TEACHING AND LEARNING .................................................................... 31

14 ASSESSMENT ........................................................................................... 32

14.1 Assessment Weightings .................................................................................................................... 32

14.2 Assessment Methods ........................................................................................................................ 33

14.3 Indicative Assessment Schedule ...................................................................................................... 34

14.4 Assessment Regulations ................................................................................................................... 35

14.5 Mitigating Circumstances ................................................................................................................ 35

14.6 Assessment Criteria .......................................................................................................................... 35

14.7 Student Feedback ............................................................................................................................. 35

15 PROGRAMME MANAGEMENT AND ORGANISATION ........................... 35

15.1 Module Tutors: ................................................................................................................................. 37

16 STUDENT REPRESENTATION AND FEEDBACK ................................... 39

17 TEACHING ROOMS AND LEARNING RESOURCES .............................. 40

17.1 University of Bolton Laboratory Facilities ..................................................................................... 40

17.2 South Westfalia University of Applied Sciences Laboratory Facilities ....................................... 41

17.3 Library services ................................................................................................................................ 42

18 COURSE DELIVERY ................................................................................. 45

18.1 Module Delivery Scheme: ................................................................................................................ 47

19 FURTHER INFORMATION (SOUTH WESTFALIA UNIVERSITY OF APPLIED SCIENCES, (SOEST) .......................................................................... 48

19.1 Campus Map ..................................................................................................................................... 48

20 FURTHER INFORMATION (UNIVERSITY OF BOLTON) ......................... 49

20.1 Campus Maps and Directions ......................................................................................................... 49

20.2 Deane Campus Departments ........................................................................................................... 50

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21 MODULE DESCRIPTIONS ........................................................................ 53

21.1 Intelligent Systems EEM4010 .......................................................................................................... 54

21.2 Signal processing EEM4011 ............................................................................................................ 57

21.3 Business in Engineering EEM4013 ................................................................................................. 60

21.4 Technical Publications and Presentations EEM4014 .................................................................... 63

21.5 Advanced Control Technology EEM4015 ...................................................................................... 66

21.6 Microprocessor Based Systems EEM4016 ..................................................................................... 69

21.7 Project Management EEM4017 ...................................................................................................... 72

21.8 Monitoring of Mechanical Systems EEM4018 ............................................................................... 75

21.9 Advanced Production Engineering EEM4019 ............................................................................... 78

21.10 Integrated Management Systems EEM4020 .............................................................................. 81

21.11 Master’s Project EEM5001 ......................................................................................................... 84

21.12 Microcontrollers AMI4655 .......................................................................................................... 86

21.13 Digital Signal Processing AMI4622 ............................................................................................ 90

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1 Introduction

Welcome to the University of Bolton (UK) and South-Westphalia University of Applied Sciences (Germany). This a collaborative course between two universities in two countries that have been amongst world leaders in engineering and management for over 200 years and leaders in university education for several centuries. The universities have co-operated in the provision of postgraduate education over the past 10 years. This is the programme handbook for the MSc in Systems Engineering (pathway) and Engineering Management. The pathways are Electronics, Mechanical and Mechatronic. In addition to the three pathways the programme has two course delivery options these are: (i) a dual-award option which in part will be delivered by both universities and

will require that the student studies at least one semester at both universities.

(ii) a single award option this can be delivered by either university, in this

option the student will study wholly at only one university.

The duration of the MSc is three semesters over a period of approximately 1½ years. This is a relatively unique course that aims to provide its graduates with the knowledge and skills obtained from the course to embark on careers not only in its pathway subjects but also in other careers that “the systems approach” to problem solving will be of great benefit. We recommend that you read this handbook thoroughly and then keep it for future reference. At points throughout this handbook you will be referred to the University of Bolton Student Handbook which you will have received when you enrolled. These are important sources of information, which you should keep for reference. This document any updates and other very useful information can be found on the web sites at www.bolton.ac.uk/ and http://www.fh-soest.de. We trust you will find the course challenging, enjoyable and rewarding and wish you every success in your studies.

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2 Personnel The key members of staff that manage support or deliver the programme are: University of Bolton:

Name Designation Alan Cornthwaite Director of School of Built Environment and Engineering Dr Dennis Dodds Head of Engineering Frank Mackin MSc Course Leader

University of Applied Sciences South Westphalia:

Name Designation Prof. Dr. Ing. Werner Krybus Dean of Faculty of Electrical Engineering Prof. Dr. Ing. Bitzer Course Leader

Updates to the above information can obtained from the “Staff Directory” in the “Staff Matters” section of the University website at homepage www.bolton.ac.uk and for South-Westphalia University of Applied Sciences the website at homepage http://www.fh-soest.de

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3 Opening Hours of Relevant Offices At the University of Bolton Students requiring support and guidance from the departmental administration staff can visit the Departmental Office located on the first floor of “B” Block. This office also provides a facility for the handing in and registration of coursework. Other important offices are :- Office Location Residential Services Student Centre Careers Student Centre Job Shop Student Centre Finance Eagle Campus Registry Eagle Campus Learning Support and Development (LS&D) Eagle Campus The Finance office handles all matters concerned with fees, grants, loans etc. Registry has wide ranging responsibilities from programme and module registration to the distribution of diplomas and degree certificates. Learning Support and Development (LS&D) is responsible for the Institute Library, the Graphics and Communication Skills units and the Central Computing facilities. General office hours are usually between 09.00 and 17.00 Monday to Friday. LS&D opening hours are 08.45 – 21.00 Monday to Thursday, 08.45 – 17.00 on Friday and 09.00 – 12.30 on Saturday. At South Westphalia University of Applied Sciences the programme is managed through the International Office. The opening times of the International Office” are announced at: http://www.fh-soest.de/hp/organisation/aaamt.html

The opening times of other facilities and services you may need can be found on the main University, Division Soest web-site at http://www.fh-soest.de

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4 Policies and Procedures At the University of Bolton the policies and procedures webpage is at: http://www.bolton.ac.uk/Students/PoliciesProceduresRegulations/Home. Information relating to University policies and procedures on these and other matters can be found on the Academic Affairs and Quality Unit web site at:- http://www.bolton.ac.uk/aqas/default.htm General policies, procedures and regulations relating to studying at The University of Bolton (plagiarism, examination and assessment regulations) are also held on the University’s Quality Assurance and Enhancement Unit’s web-page http://data.bolton.ac.uk/aqas/defaultpageone.htm 5 Communication Systems At the University of Bolton A variety of mechanisms are in place to facilitate communication between students and key personnel associated with the programmes. An open door policy enables students to gain direct access to academic tutors, module tutors, year tutors and the programme leader. An appointment system also operates should any of these be unavailable. All staff can be contacted by e-mail. The support staffs are available during the published office hours. Student Services information is posted on the University web site at: http://www.bolton.ac.uk/studentcentre/ and the Learning, Support and Development information appears on the University web site at www.bolton.ac.uk/learning. Operational information and timetable details and changes are posted on the programme notice boards on the ground floor B corridor. Assignment work from students is collected and recorded by the departmental office and distributed to staff. Emergency contact details for students and their e-mail addresses are available from registry. Since the programmes operate within a managed learning environment, communication will be centralised on the programme web site. This will provide a “one stop shop” for all programme and module information, links to other relevant University web pages and e-mail, chat and discussion group facilities between staff and students. At South Westphalia University of Applied Sciences one of the most important means of communication for information relating to the administration of your course (Timetables, lecture changes, room changes, laboratory rotas, etc) is via your course notice board on the appropriate web-page or via e-mail. The location of your notice board is detailed in your annual update information booklet. There also exist physical notice boards that can also be referred to. Please check the notice boards every day to ensure that you are up-to-date with important information. Much communication is carried out informally during normal lectures and tutorials. If you are unsure of anything relating to the course, it is usually best to ask a module tutor first.

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6 Pastoral Support and Guidance At the University of Bolton staffs are assigned to students as academic tutors. Normally if a student has a personal of medical problem that is likely to affect their studies they would be encouraged to notify initially their academic tutor. Depending on the nature of the problem this may also involve the module and/or year tutor. Problems of this nature are most effectively dealt with by a University wide facility provided by Student Services, where trained counsellors are available to offer appropriate help and guidance. At the University of Bolton the first point of contact on subject specific matters is the module tutor. For general academic and welfare matters the first point of contact is the group tutor. At South Westphalia University of Applied Sciences the course leader will be able to give advice relating to the programme as a whole. The MSc tutor will able to give advice on timetables and pass on messages to academic staff. For problems other than those of an academic nature, there are a number of ways in which you can gain help and support. If you encounter personal problems (illness, problems with your accommodation, family issues, etc) your first port of call should be your personal MSc Tutor any issues can then be referred if needed to the Course Leader.

The course leader at either university may point you in the direction of more specialist support available at the universities.

We must stress that it’s important that you let us know if there are any problems because we have many different ways in which we can assist you and try to ensure that these issues do not affect your studies Of particular note to any non home student are the international offices at both universities the details of which are available through the main website home pages given above. 6.1 Support and mentoring at South Westfalia University of Applied Sciences The academic international office coordinates international relations and develops and accomplishes projects and programs with foreign partners and students.

The foreign students of the Master course are permanently supervised by a professor and the academic foreign office. This group is also involved in the process of quality assurance. Furthermore, all concerns directly and indirectly related to the studying process are cared for, e.g. questions regarding insurances and searching for accommodations.

Besides those instruments post-graduate students are employed as tutors for the students who act as further link between the students and the staff, e.g. newsletters and e-mails inform about important issues and each new student is asked to introduce her- or himself formally to the other course members and tutors.

The faculties are spending a comparable high amount of the budget to engage the good and the best students. Working this way there is a vital atmosphere and the students come into touch with the scientific environments very early. Former cohorts often keep in contact with the new students.

Other assistance: at the South Westphalia University of Applied Science if you need assistance with issues arising from use of the Library, central computing facilities or other Learning Support Services, please contact the MSc Tutor. You can also e-mail comments and suggestions via msc_tutor@soest_campus.de

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7 Academic Support and Guidance Within the both universities students are requested to follow the documented procedures in the student’s handbooks so that problems can be resolved in a swift and efficient manner. For any academic problem the first point of contact should be the module tutor. If the problem cannot be resolved a referral to the year tutor and ultimately to the programme leader can occur. The intention is to resolve all problems quickly and efficiently without undue delay to a student’s study programme. Students also benefit from having the opportunity to participate in Course Review Periods. These will normally be held every month; a slot will be allocated in the timetable. Students can, where appropriate, discuss problems with the Year Tutor or Programme Leader either individually or in the presence of their peers and other members of staff. Past experience has shown these review periods to be highly valuable in providing information and discussing changes to the delivery of the course. Additionally, student representatives are nominated to sit on course committees which meet regularly throughout the academic year. Academic support and guidance is available from: The Module Tutors this is a member of academic staff responsible for the day-to-day management of a particular module. The module tutor organises the module teaching structure, organises and collates module assessments, ensures that all students on the module are aware of attendance and assessment requirements of the module and acts as the identified individual who you can consult if you experience academic problems in the module. They will also be responsible for signing you onto that module and checking that you have any module prerequisites. All academic staff act as module tutors for particular modules and their names are indicated in the annual updated information, which you are given at the beginning of each year to supplement this handbook The Course Leaders will be able to give advice relating to the programme as a whole.

8 Assessment Procedures

The modules are coded for convenient reference, as are the methods used to assess student performance in each module. All modules follow the same principles for marking and feedback. Assignments are normally issued according to a schedule that will be given to the student by their tutor. The following sections give more detail on these points.

Specific details on the learning, teaching and assessment methods within each module can be found in the individual module descriptions in this document. The following two sections give an overview of the methodology adopted on your course.

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8.1 Learning and Teaching Strategy A subject specialist teaches every module. Each tutor has experience of industrial electronics or engineering methods and all tutors are active in relevant research and consultancy

Students will benefit from a variety of teaching methods including case studies, discussions, lectures, tutorials, demonstrations and computer-aided learning sessions. They will be expected to be independent, self-motivated and an active learner and will be given strong guidance to help them achieve this. The project will be the primary vehicle for the integration of the practical and theoretical parts of the course. The project constitutes one third of the total marks and is assessed by the supervisor and an external examiner.

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8.2 Modules Available on the Course

Module name

MSc Systems Engineering

(Electronic) and Engineering Management


(Mechanical) and Engineering Management


(Mechatronic) and Engineering Management

CATS Credits (ECTS

Credits)

Control:

Intelligent systems EEM4010

15(8)

Advanced Control Technology EEM4015

15(8)

Management:

Business in Engineering EEM4013

15(7)

Technical Publications and Presentations EEM4014

15(7)

Project Management EEM4017

15(7)

Integrated Management EEM4020

15(8)

Electronic Subject Modules:

Microprocessor-based Systems EEM4016 or Microcontrollers AMI4655

EEM4016 = 15(8) AMI4655 = 20(10)

Signal Processing EEM4011 or Digital Signal Processing AMI4622

EEM4011=15(8)

AMI4622 =15(8)

Mechanical Subject Modules:

Monitoring of Mechanical Systems EEM4018

15(8)

Advanced Production Engineering EEM4019

15(8)

Project EEM5001

60(30)

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8.3 Module Assessment Strategy

Module Number

Year of Course

Level Pre Requisites Assessment (Percentage Weighting) CA EXAM

EEM4010 1 HE7 - 50 50 EEM4011 1 HE7 - 50 50 EEM4013 1 HE7 - 100 EEM4014 1 HE7 - 100 EEM4015 1 HE7 - 50 50 EEM4016 1 HE7 - 50 50 EEM4017 1 HE7 - 100 EEM4018 1 HE7 - 50 50 EEM4019 1 HE7 - 100 EEM4020 1 HE7 - 100 EEM5001 1 / 2 HE7 - 100 AMI4655 1 HE7 - 100 AMI4622 1 HE7 - 100

Assessment Key

CA = Coursework Assessment including written assignments and in-class assessment EXAM = formal written examination (end test) Each module on the MSc Systems and Engineering (pathway) and Engineering Management programme involves several assessments staged throughout the module delivery period. The results of these assessments will contribute towards your final grade for the module. The assessments can take a variety of forms but typically fall into the following broad groups: Assignments Practical work assignments Projects Oral presentations (including viva voce) Formal end examination – which is normally a 2 hour examination.

Continuous Assessment

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8.4 Assessment Criteria and Marks

Grade Description Mark Work of Exceptional High 80+ Quality Middle 75-79 Low 70-74 Work of Very Good High 67-69 Quality Middle 64-66 Low 60-63 Work of Good High 57-59 Quality Middle 54-56 Low 50-53 Work of Satisfactory High 47-49 Quality Middle 44-46 Low 40-43 Unsatisfactory Borderline Fail 35-39 Performance (Fail) Clear Fail below 35 Definitions of Assessment Criteria Work of Exceptional Quality Virtually all of the relevant knowledge and/or skills accurately deployed. Excellent

and exceptional grasp of theoretical, conceptual, analytical and practical elements. Very effective integration of theory, practice and information in relation to the objectives of the assessment. Substantial evidence of originality and creativity as appropriate to the subject.

Work of Very Good Quality Most of the relevant knowledge and/or skills accurately deployed. Good grasp of

theoretical, conceptual, analytical, practical elements. Effective integration of theory, practice and information in relation to the objectives of the assessment. Significant evidence of originality and creativity as appropriate to the subject.

Work of Good Quality Some of the relevant knowledge and/or skills accurately deployed. Adequate grasp

of theoretical, conceptual, analytical and practical elements. Fair integration of theory, practice and information in relation to the objectives of the assessment. Some evidence of originality and creativity as appropriate to the subject.

Work of Satisfactory Quality Some omissions in the deployment of knowledge and/or skills. Some grasp of

theoretical, conceptual, analytical and practical elements. Limited integration of theory, practice and information in relation to the objectives of the assessment. Limited evidence of originality and creativity as appropriate to the subject.

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Borderline Fail

Deficiencies or omissions in knowledge, skills, theoretical, conceptual, practical elements. Limited integration of these in relation to the assessed work’s objectives. Some relevant content and marginal evidence of skills, knowledge or creativity which could, in the light of overall performances, constitute the basis for a pass grade in the examiners’ judgements.

Clear Fail Little evidence of the knowledge, skills, theoretical, conceptual, analytical, creative or

practical elements relevant to the assessment. Mainly irrelevant and/or incorrect information provided. Scant evidence of understanding of the requirements of the assessment.

8.5 Submitting Assignments

All assessed work must be submitted by the stipulated date. Work should be submitted to Module Tutors via the Programme Office.

8.6 Penalty Scheme for Late Submission of Assessed Work

The late penalties below will be incurred if you exceed assessment deadlines without any prior agreement from the Module Tutor. Module or Academic Tutors will need written evidence to support deadline extensions in mitigating circumstances. a) for full-time students Up to 3 days late: assessment mark multiplied by 0.9 4 to 6 days late: assessment mark multiplied by 0.8 7 to 10 days late: assessment mark multiplied by 0.7 Greater than 10 days late: zero mark recorded. b) for part time students

Up to 5 days late: assessment mark multiplied by 0.9 6 to 10 days late: assessment mark multiplied by 0.8 11 to 15 days late: assessment mark multiplied by 0.7 Greater than 15 days late: zero mark recorded. In the above context a ‘day’ excludes Saturdays, Sundays and other days when the Institute is closed. We cannot stress enough the importance of notifying your tutor of mitigating circumstances so that s/he is aware of problems you may be experiencing which are having an effect on your ability to submit work on time.

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8.7 Assessment Definitions

There are three distinct outcomes regarding progression for any module, namely: Pass Implies the student has satisfactorily completed the relevant

module and no more work is required.

Referred Sometimes students are referred in an assignment and/or examination for a particular module. Normally a referral grade is awarded when a student has made a serious attempt to obtain a pass grade but has been unsuccessful. In this case the student will be given the opportunity to rectify the referral and convert this into a pass grade. Normally, if a student is referred in coursework, a different piece of work will be set and a maximum of 40% only can be awarded for the reassessed work when it is re-submitted to a satisfactory standard.

Fail Failure of modules is normally due to lack of effort and/or

understanding on the student’s part. Failure is irrecoverable and the student must either retake or repeat the appropriate module or in the case of an elective (optional) replace this by an equivalent module. If a module is to be repeated then the student must resubmit all the assessment work, with attendance in class. The student may register as an associate or part-time student until progression requirements are satisfied. A retake module requires re-submission of all assessments, but does not necessitate attendance.

8.8 Assessment of Individual Modules

The pass requirement and grades for each module will be allocated in accordance with the following: To pass a module you will normally be expected to achieve an overall mark of 40% for the module with no individual assessment item having a mark less than 40%. The grade awarded is based on the overall mark and the definitions given in section 14.3 When an overall mark of less than 40% has been achieved a Referral could be permitted i.e. a reassessment in unsatisfactory areas of assessment will be required. If you have been deemed to have failed the module, then to progress normally you will need to substitute another acceptable module for the failed module. In exceptional circumstances a retake (retake all assessments in the module) or repeat the complete module at the next available opportunity may be offered by the exam board. If allowed, a repeat of a module, if satisfactory, or the taking of a substitute module can only achieve a maximum mark of 40%.

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Note i. 40% is the maximum mark that can be awarded for a resit exam or for

referred continual assessment work ii. If you are required to “retake” a module you must resubmit all the

assessment work again (including any elements that you may have already passed) i.e. you must do both the coursework and the examination again.

iii. If you are required to “repeat” a module, you must re-submit all the

assessment work again and attend classes. 8.9 Referral

The Modular Framework Regulations apply in this case i.e. there will be no limit on the number of modules referred, but any module can only be referred once.

8.10 Compensation/Condonement

The modular framework regulations relating to compensation and condonement together with all the assessment regulations are available at http://www.bolton.ac.uk/aqas/default.htm

9 Attendance and Withdrawal Attention is drawn to both the General Regulations and Academic Regulations contained in the University Student Handbook. A register will be taken during each lecture, tutorial and laboratory period. This is an essential requirement from the University and attendance will be monitored periodically. For the purposes of the regulations all formally timetabled lectures, laboratories, tutorials, seminars, phase tests and other events notified via the course notice board are classified as Compulsory attendance Requirements. Students must notify their academic tutor, without delay, of all absences with reasons. Where the absence is due to illness of less than seven days the student must provide a written statement of the nature of the illness. If the illness is of seven or more day’s duration a Medical Certificate is required. For all absences of two weeks or more a written explanation is required. A student who is absent for a continuous period of 2 weeks, without the written approval of the Head of Department, or is a poor attendee, may have their registration suspended and their LEA/sponsor informed. A student who is absent for a continuous period of at least FOUR weeks without written explanation and/or approval will be deemed to have withdrawn from the course and their Registration will be cancelled and their LEA/Sponsor informed. Students whose attendance is giving rise to concern in any element or module will be given ONE written warning sent to both their home and term time addresses.* Subsequent reports of poor attendance in any element or module will be sent directly to the student’s LEA/Sponsor and may result in registration being cancelled.

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It is the duty of the University to inform sponsors and local education authorities, regarding students who have a poor attendance record. *Note: It is the students’ responsibility to notify the University of any changes of either term-time or their home address. Mitigation sought in respect of any failure to comply with a programme requirement resulting from communications being sent to an incorrectly notified address will not be accepted.

9.1 Attendance for Assessment If a student is unable to attend any form of assessment during the course, e.g. phase test, laboratory session, examination etc. due to ill health, they must provide their academic tutor with a doctor’s medical certificate.

9.2 Withdrawal Students who wish to withdraw, transfer or suspend their studies on the programmes must contact their academic tutor immediately. The academic tutor will be able to counsel the student regarding career development and current options. If the student has a personal problem, again the academic tutor is the first point of contact for guidance. The Student Centre, with their specially trained counsellors, is also available. It is normally the responsibility of the academic tutor to fill in and sign the relevant form to remove a student from the course. Individual student files (including academic/character references) will be held for a period of ten years and then shredded.

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10 Programme Specification Document

1. Qualification

Master Degree

2. Programme Title

MSc in Systems Engineering (pathway)

and Engineering Management

Pathways offered are:

Electronic Mechanical Mechatronic

3. UCAS Code

Not Applicable

4. Programme Type

Full time options: single campus attendance and single MSc award dual campus attendance and dual MSc award

5. Main Purposes and Distinctive Features of the Programme The programme is an integrated MSc and builds on an established MSc in Electronic Systems and Engineering Management that has run successfully for 10 years prior to this MSc in Systems Engineering and Engineering Management. Electronics remains as a pathway option in the new structure and remains largely unchanged. The MSc in Systems Engineering and Engineering Management extends the structure of the successful MSc in Electronic Systems and Engineering Management and applies it to another subject discipline i.e. mechanical engineering, this a pathway option. Additionally the integration of electronic and mechanical engineering is addressed in the provision of another pathway mechatronic. The MSc in Systems Engineering (pathway name) and Engineering Management thus has three pathways these are Electronic, Mechanical or Mechatronic. The programme also has two delivery options: (iii) a dual-award option which in part will be delivered by both universities and will

require that the student studies at least one semester at both universities. (iv) a single award option this can be delivered by either university, in this option the

student will study wholly at only one university.

The course is a three semester course starting normally in October and with a summer interval (break).

The course structure has four subject based components these are:

• control systems;

• management systems;

• an engineering subject discipline;

• a project based on the pathway.

Only the engineering subject discipline differentiates the taught elements of the course, the other components are common to all pathways. The engineering discipline bears the pathway name.

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In the dual award option which is expected to be the majority option. The students will be recruited by both universities.

Distinctive features:

• Integrated course using the systems approach

• Three pathways available

• Common systems modules available on all pathways

• Dual and single campus overseas delivery available

• Course model can be expanded to include other appropriate pathways if needed

• Can result in efficiencies of delivery and synergies.

The primary aims of the course is to provide:

• advanced education in systems engineering and management at postgraduate level; • subject updating in modern methods and technologies; • the continuing education needs of practising engineers and engineering managers.

The objectives of the programme is to provide for students:

• an in-depth understanding of systems engineering, management methods and techniques;

• to have the ability to solve advanced problems in systems engineering; • to be provided with the knowledge and skills in management to advance their careers; • to have the ability to communicate clearly in speech, writing and using appropriate

mathematics and software; • to have an appreciation of current developments in associated technologies and

techniques; • to develop communication skills, both oral and written; • to have a familiarity with appropriate CAD tools; • to have an appreciation of the need for continuing professional development.

Students will be recruited to the course by both collaborating universities the operational delivery of the course will be decided by agreement with the staff of the two universities. The modules available for delivery on the course are given the table below.

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Module name

MSc Systems Engineering (Electronic)

and Engineering Management


(Mechanical) and Engineering Management


(Mechatronic) and Engineering Management

CATS Credits (ECTS

Credits)

Control:

Intelligent systems EEM4010

15(8)

Advanced Control Technology EEM4015

15(8)

Management:

Business in Engineering EEM4013

15(7)

Technical Publications and Presentations EEM4014

15(7)

Project Management EEM4017

15(7)

Integrated Management EEM4020

15(7)


Microprocessor-based Systems EEM4016 or Microcontrollers AMI4655

EEM4016 = 15(8) AMI4655 = 20(10)

Signal Processing EEM4011 or Digital Signal Processing AMI4622

EEM4011=15(8)

AMI4622=15(8)


Monitoring of Mechanical Systems EEM4018

15(8)

Advanced Production Engineering EEM4019

15(8)

Project EEM5001

60(30)

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6. What a postgraduate should know and be able to do on completion of the programme Further details of module outcomes can be found in the programme document Knowledge and understanding in the context of the subject(s) K1 A critical understanding of the application of advanced control engineering concepts and design

methodologies for application in the design of mechanical based equipment K2 Application knowledge of digital signal processing for the processing of measurement signals

used in control applications K3 Knowledge of advanced artificial intelligence techniques and in particular the use of expert

systems for applications in the design and control of automated machinery K4 A critical understanding of the role of total quality management in design, manufacture and

project management K5 A critical understanding of commercial aspects of project management involving the negotiation

of contracts, quotation, procurement of orders and other financial and legal matters. Cognitive skills in the context of the subject(s) C1 The ability to realise a functional control system through a microprocessor or microcontroller

based system C2 To have an in-depth understanding of Systems Engineering and Management Methods and

Techniques C3 To have the ability to solve advanced problems in Systems Engineering C4 The ability to solve advanced and challenging engineering problems in electronic system design Subject-specific practical/professional skills P1 Familiarity with appropriate new software tools P2 The skills to manage complete systems project from concept through to implementation P3 To have an appreciation of current developments in associated technologies and techniques P4 To have the ability to communicate clearly in speech, writing and using appropriate

mathematics and software Other skills (e.g. key/transferable) developed in subject or other contexts S1 To be provided with the knowledge and skills in management to advance their careers S2 An appreciation of the need for continuing professional development S3 Communication skills, both oral and written S4 The ability of students to take successfully part in research projects for MPhil or PhD degrees S5 Time management

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Module Name Module Number

Knowledge and understanding

Cognitive skills Practical and professional skills

Other skills

Control:

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Intelligent Systems EEM4010 K1, K3 C2, C3 P1, P2, P3 S3, S5

Advanced Control Technology EEM4015 K1, K3 C2, C3 P1, P2, P3 S3, S5

Management:

Business in Engineering EEM4013 K4, K5 C3 P1, P2, P3 S1, S3, S5

Technical Publications and Presentations EEM4014 K4, K5 C3, C4 P1, P3 S1, S2, S3, S4, S5

Project Management EEM4017 K4, K5 C3, C4 P1, P2 S1, S2, S3, S4, S5

Integrated Management Systems EEM4020 K4, K5 C3 P1, P2 S1, S3, S5


Microprocessor Based Systems or Microcontrollers

EEM4016 or AMI4655

K3 C1, C2 P1, P2, P3 S3, S5

Signal Processing or

Digital Signal Processing

EEM4011 or AMI4622

K2 C4 P1, P2, P3 S3


Monitoring of Mechanical Systems EEM4018 K2 C4 P1, P2, P3 S3

Advanced Production Engineering EEM4019 K3 C1, C2 P1, P2, P3 S3, S5

Project EEM5001 K1, K2, K3, K4, K5 C1,C2, C3, C4 P1, P2, P3, P4 S1, S2, S3, S4, S5

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7. Qualities, Skills & Capabilities Profile

A Cognitive B Practical C Personal & Social D Other Problem structuring and solving

Research skills and methods

Self-development Self-confidence

Career development

Critical reasoning and analysis

Presentational skills Team-working and networking skills

Apply and Transfer learning and experience

Information search

Time management

Handle complexity and intellectually synthesise

Communications

Develop theoretical frameworks from observation, practice and experience

8. Duration and Structure of Programme/Modes of Study/Credit Volume of Study Units

Core Modules

Output

Semester 3

MSc Project

180 Credits - MSc

Semester 2

Microprocessor based systems Project Management Signal Processing Integrated Management

120 Credits - Postgraduate Diploma

Semester 1

Advanced Control Technology Intelligent Systems Technical Publications and Presentations Business in Engineering

60 Credits – Postgraduate Certificate

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9. Learning, Teaching and Assessment

Students will benefit from a variety of teaching methods including case studies, discussions, lectures, tutorials, demonstrations and computer-aided learning sessions. They will be expected to be independent, self-motivated and an active learner and will be given strong guidance to help them achieve this. The project will be the primary vehicle for the integration of the practical and theoretical parts of the course. The project constitutes one third of the total marks and is jointly assessed by the supervisor and an external supervisor.

9.1 Module Assessment Strategy

Module Number

Year of Course

Level Pre Requisites Assessment (Percentage Weighting) CA EXAM

EEM4010 1 HE7 - 50 50 EEM4011 1 HE7 - 50 50 EEM4013 1 HE7 - 100 EEM4014 1 HE7 - 100 EEM4015 1 HE7 - 50 50 EEM4016 1 HE7 - 50 50 EEM4017 1 HE7 - 100 EEM4018 1 HE7 - 50 50 EEM4019 1 HE7 - 100 EEM4020 1 HE7 - 100 EEM5001 1 / 2 HE7 - 100 AMI4655 1 HE7 - 100 AMI4622 1 HE7 - 100

Assessment Key

CA = Coursework Assessment including written assignments and in-class assessment EXAM = formal written examination (end test) Each module on the MSc Systems and Engineering (pathway) and Engineering Management programme involves several assessments staged throughout the module delivery period. The results of these assessments will contribute towards your final grade for the module. The assessments can take a variety of forms but typically fall into the following broad groups: Assignments Practical work assignments Projects Oral presentations (including viva voce) Formal end examination – which is normally a 2 hour examination.

Assessment Classification System Grade Description Mark

Continuous Assessment

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Work of Exceptional High 80+ Quality Middle 75-79 Low 70-74 Work of Very Good High 67-69 Quality Middle 64-66 Low 60-63 Work of Good High 57-59 Quality Middle 54-56 Low 50-53 Work of Satisfactory High 47-49 Quality Middle 44-46 Low 40-43 Unsatisfactory Borderline Fail 35-39 Performance (Fail) Clear Fail below 35 Pass mark for examination and assignments is 40%

Date programme first offered October 2008 single award February 2009 dual award Admissions Criteria Standard Requirements Degree, or equivalent Dip-Ing in Electrical or Mechanical Engineering As MSc taught in English, proof of adequate knowledge (TOEFL 550) Indicators of Quality and Standards i) Validated by panel with external academic subject specialists ii) External examiners moderate assignments and projects

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10. Progression and Award Criteria Postgraduate Certificate In order to satisfy the requirements for successful completion of the Postgraduate Certificate

you must obtain at least 60 credits, where appropriate including a specified maximum number of credits at Level HE6 the remainder being at level HE7.

You will normally need to pass all modules required for the Postgraduate Certificate before

being allowed to proceed formally to the Postgraduate Diploma. You also must pass any Postgraduate Certificate pre-requisite module(s) before proceeding to study the related module(s) at the Postgraduate Diploma stage.

Postgraduate Diploma In order to satisfy the requirements for the award of the Postgraduate Diploma you must obtain at least 120 credits, where appropriate including a specified maximum number of credits at Level H the remainder being at Level M. You will normally be required to pass all modules required for the Postgraduate Diploma before being allowed to proceed formally to the dissertation stage of your programme. If the

programme includes a module which is a pre-requisite for the dissertation (for example a Research Methods module) this must be passed before the dissertation is started.

Masters Degree

In order to satisfy the requirements for the award of a Masters Degree, you must obtain at least 180 credits, where appropriate including a specified maximum number of credits at Level HE6, the remainder being at Level HE7, and including a significant element of advanced independent study in the form of a dissertation worth 60 credits at Level HE7.

Successful students will be awarded a Masters Degree.

You may be considered for the award of Masters Degree with Distinction if (a) the overall average mark for the taught modules and dissertation/project contributing to the required 180 credits normally is at least 70% and (b) the dissertation/ project mark is normally at least 70%.

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11 Professional Body Accreditation It is envisaged that the course will be submitted for the Institution of Engineering and Technology approval once a cohort of students has completed the dual award scheme. 12 Programme Structure and Content The programme structure reflects the common generic systems approach to engineering and management. The course treats the systems approach to engineering as generic this is reflected in the two control systems modules Intelligent Systems EEM4010 and Advanced Control Technology EEM4015. Engineering Management is addressed by four modules the address all the relevant management knowledge and skills required for engineering management, the modules are Business in Engineering EEM4013, Technical Publications and Presentations EEM4014, Project Management EEM4017 and Integrated Management EEM4020. Two engineering subject specific modules define the pathway and engineering focus again the approach to these modules is one of systems and application. The two electronics modules are Microprocessor based systems EEM4016 and Signal Processing EEM4011. An alternative module for Microprocessor based systems is Microcontrollers AMI4655 and an alternative module for Signal Processing is Digital Signal Processing AMI4622. The two mechanical modules are Monitoring of Mechanical Systems EEM4018 and Advanced Production Engineering EEM4019. A project module EEM5001 integrates the taught elements of the course. The project can be based on either engineering pathway or engineering management. The three modules with the prefix AMI are available either as conventional on-campus taught modules or as internet based distance learning modules. This adds a degree of flexibility to the program if required. Although the course is aimed at full-time students, students can choose to study part time.

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13 Teaching and Learning

The teaching strategy for this course is aimed at to produce graduates of the course that will be able to be readily employed in engineering based organisations and to have the skills necessary to succeed in such organisations. The course is targeted at high calibre students wishing to study in the disciplines of the course and as such it is not suitable for students who merely wish to acquire further knowledge without the application of that knowledge in any meaningful sense. In short although the course is in many ways generic it is vocational in terms of systems engineering and engineering management. The course also provides a platform for further higher postgraduate study which any student successfully completing this course should be able to successfully complete, the course having given them a “head start”. The description of assessment methods available are: Group Work Including :- • Presentations • Informal discussions • Activity based assignments These activities are designed to develop students’ subject, specific practical and professional skills and their key transferable skills. More specifically their ability to :- Work as part of a development team; Communicate effectively; Manage and organise; Practical Work Including :- • Laboratory sessions • Case studies • Demonstrations • Practical assignments • Project These activities help develop cognitive subject skills and subject specific practical skills. Specifically the ability to :- Deploy effectively the methods and tools used in the design, implementation and evaluation of electronic and computer engineering systems; Solve practical design problems; Make effective use of general IT facilities; Research, analyse and apply information;

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Lecture/Tutorial Including :- • Lectures • Seminars • Videos • Guest speakers These activities develop the knowledge and understanding in the context of the subject: Specifically the understanding of the subject including essential facts, concepts and principles underlying the subject, this should leave the student with an ability to critically evaluate, design and apply technologies in a systematic manner to engineering and management issues. There should be no traditional lectures of the type that merely impart straightforward information. This is too passive a mode of education for students of the 21st century. However, there is still a strong place for the exposition and clarification of themes and difficulties in a lecture-type situation. The acquisition of straightforward knowledge is facilitated by provision of learning material (usually via electronic media in a virtual learning environment) and by assigned or recommended reading. The onus for its assimilation is on the students themselves. 14 Assessment The course although novel in its structure is conventional in terms of its teaching and includes a mixture of learning and assessment vehicles.

The overall assessment strategy for the programmes conforms to the requirements of the QAA National Qualifications Framework, the Benchmarks in Engineering 2006 and the associated Level Descriptors for skills and knowledge acquired at each level of the programmes. 14.1 Assessment Weightings Assessment is as appropriate for the module the management modules are 100% coursework assessed as Advanced Control Technology a practical based subject. The subjects that are a mixture of qualitative and quantitative assessment have examinations as part of their assessment regime. Students entering this course will have had a similar regime at undergraduate level for semesterised modules in their final undergraduate year.

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14.2 Assessment Methods The range and description of assessment methods used throughout the programme is as follows :- Examinations Formal examinations are carried out in the conventional way using questions to test the students’ knowledge and ability. In many instances in the students’ future career they will be faced with situations when immediate recall of information is required, often in stressful conditions. Open Book Examinations Open Book examinations are used to reduce the extent to which examination performance is a test of memory. Access is allowed to information and lecture notes taken into the examination. Practical Tests Practical examinations are used in some modules to test skill in applying acquired knowledge. The student is required to carry out a task under supervision to prevent collusion and within a strict time limit. These tests may also be open book. Written Assessment During the delivery of most subjects, work is set to be done in the students’ own time and is handed in to set deadlines. All coursework is assessed and feedback given to the student within 3 weeks of the submission deadline. Such work may take the form of essays, assignments, projects, seminars, case study analyses etc. In-Class Assessment For some subjects an informal test or examination, often Open Book, is useful to test a specific skill or understanding in a time-limited, stressful situation. Where practical work has been undertaken a useful assessment approach is student demonstration to the supervisor (possibly including peer observation). This may be supplemented with interview to establish the level of learning achieved. Interview-Based Assessment This is also used as a way of monitoring student progress. The outcome of such assessment can be used to provide immediate feedback to the student and to inform the emphasis of subsequent lecture and tutorial material.

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14.3 Indicative Assessment Schedule Module Module

Number Assess’t 1 Assess’t 2 Assess’t 3 Assess’t 4

Control:

Intelligent Systems

EEM4010 Cw (20%) Cw(30%) Ex(50%)

Advanced Control Technology

EEM4015 Cw (20%) Cw(30%) Ex(50%)

Management:

Business in Engineering

EEM4013 Cw(50%) Cw(50%)

Technical Publications and Presentations

EEM4014 Cw(50%) Cw(50%)

Project Management

EEM4017 Cw(50%) Cw(50%)

Integrated Management Systems

EEM4020 Cw(40%) Cw(60%)


Microprocessor Based Systems or Microcontrollers

EEM4016 or AMI4655

Cw(25%) Cw(50%)

Cw(25%) Cw(50%)

Ex(50%)

Signal Processing or

Digital Signal Processing

EEM4011 or AMI4622

Cw(20%) Cw(30%)

Cw(30%) Cw(70%)

Ex(50%)


Monitoring of Mechanical Systems

EEM4018 Cw (20%) Cw(30%) Ex(50%)

Advanced Production Engineering

EEM4019 Cw(60%) Cw(40%)

Project EEM5001 Pre (10%) Diss (60%) Pre(20%) Pra(10%)

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14.4 Assessment Regulations The course assessment will comply with the assessment regulations of the University of Bolton the postgraduate assessment handbook can be found at: http://data.bolton.ac.uk/aqas/PDF/PO14_1.pdf 14.5 Mitigating Circumstances Students who consider their performance in continuous assessment and/or examinations has been affected by personal circumstances, such as illness, will be required to complete a mitigating circumstances form. This together with supporting documentary evidence should be submitted to the chairman of the examination board ahead of the date of the meeting for consideration at that meeting. 14.6 Assessment Criteria Refer to section 9.1 of the Programme Specification included in this handbook and the postgraduate assessment handbook. 14.7 Student Feedback

Feedback on summative assignments will always be given individually and/or to the group. The objective being to inform the student on any relevant issues arising from the assignment work submitted.

15 Programme Management and Organisation The Electronic and Computer Engineering (ECE) academic group operates within the School of Built Environment and Engineering. The Director of the school is responsible for the overall academic management of the Department. He is assisted by the management team comprising the Principal Lecturers within the School. It is the course leaders who take responsibility for the individual programmes. The Course Leader is supported by a number of Academic Tutors who are responsible for looking after a designated group of students. The Course Leader takes overall responsibility for academic content of the study programme, liaison with external examiners and the development and integration of the programme within the course portfolio of the School. Academic Tutors are responsible for the day to day operation of the study programme. They ensure that students are kept fully informed of all academic aspects of the programme e.g., timetables, assessment requirements, module choices etc. The program will be jointly managed by the Course Leaders at the University of Bolton and South Westphalia University of Applied Sciences together with the supporting organisation at both Universities.

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At the University of Bolton this MSc program is one of several MSc programs that are monitored by the MSc course committee and forms part of the School of Built Environment and Engineering’s quality control system. The minutes and actions from the bi-annual course committee meetings are reported upwards to the school of Built Environment and Engineering’s bi-annual Board of Study where any relevant issues are reviewed. The agenda and terms of reference for course committees and the course committee members including student members are defined in http://www.bolton.ac.uk/aqas/default.htm this equally applies to boards of study and higher level quality control systems in the university. Assessment boards will take place soon after the end of a semester. The location of the assessment boards will be rotated between the two universities i.e. if assessment board is held at the University of Bolton the next assessment board will be held at South Westfalia University of Applied Sciences and following one will be held at the University of Bolton etc. Historically the mechanism for reporting issues associated with the course at South Westphalia University of Applied Sciences is that a bi-annual course committee is held with a visiting lecturer from the University of Bolton in attendance if possible. The minutes of the meeting at South Westphalia University of Applied Sciences are reported as an agenda item at the corresponding MSc course committee at the University of Bolton. Students enrolled on a dual award MSc at the University of Bolton will have their assessments presented to an assessment board that meets bi annually. An external examiner from another university will be present at the assessment board. The external examiner may also wish to see examples of student coursework and examination papers. The external examiner on occasion may also wish to visit the collaborating partner university.

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15.1 Module Tutors:

South Westfalia University of Applied Sciences (Soest)

University of Bolton

Advanced Control Technology EEM 4015 Hafner, Sigrid, Prof. Dr. FB 16 Raum 04.106 [email protected] Tel.: (02921) 378-457

Advanced Control Technology EEM 4015 Zhou Erping Dr Room B1-04b Deane Campus [email protected] Tel.: (01204) 903465

Intelligent Systems EEM 4010 Bitzer, Berthold, Prof. Dr. FB 16 Raum 04.124 [email protected] Tel.: (02921) 378-411 / 410 / 486 / 412

Intelligent Systems EEM 4010 Zhou Erping Dr Room B1-04b Deane Campus [email protected] Tel.: (01204) 903465

Microprocessor Based Systems EEM 4016 Krybus, Werner, Prof. Dr FB 16 Raum 4.115 [email protected] Tel.: (02921) 378-462

Microprocessor Based Systems EEM 4016 Tonge Andrew Room B2-3 Deane Campus [email protected] Tel.: (01204) 903070

Signal Processing EEM 4011 Thiemann, Peter, Prof. Dr. FB 16 Raum 4.121 [email protected] Tel.: (02921) 378-466

Signal Processing EEM 4011 Beddard David Room B2-3 Deane Campus [email protected] Tel.: (01204) 903866

Advanced Production Engineering EEM 4019 Petuelli, Gerhard, Prof. Dr FB 12 Raum 2.213 [email protected] Tel.: (02921) 378-347

Advanced Production Engineering EEM 4019 Ward Tim Room B1-3 Deane Campus [email protected] Tel.:(01204) 903464

Technical Publications and Presentations EEM 4014 Gdaniec, Claudia, Prof. Dr FB16 Raum 4.116 [email protected] Tel.: (02921) 378-463

Technical Publications and Presentations EEM 4014 Pederson Brian Room B2-05 Deane Campus [email protected] Tel.: (01204) 902068

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Project Management EEM 4017 Meppelink, Jan, Prof. Dr FB16 Raum 03.010 [email protected] Tel.: (02921) 378-308 / 272

Project Management EEM 4017 Attwood Roy Room B2-3 Deane campus [email protected] Tel.: (01204) 903555

Monitoring of Mechanical Systems EEM 4018 Petuelli, Gerhard, Prof. Dr FB 12 Raum 2.213 [email protected] Tel.: (02921) 378-347

Monitoring of Mechanical Systems EEM 4018 Myler Peter Dr Room B2-5 Deane Campus [email protected] Tel.: (01204) 903661

Integrated Management Systems EEM 4020 Bitzer, Berthold, Prof. Dr. FB 16 Raum 04.124 [email protected] Tel.: (02921) 378-411 / 410 / 486 / 412

Integrated Management Systems EEM 4020 Mackin Frank Room B2-3 Deane Campus [email protected] Tel.: (01204) 903847

Business in Engineering EEM 4013 Janzen, Henrik, Prof. Dr FB 16 Raum 04.125 [email protected] Tel.: (02921) 378-465

Business in Engineering EEM 4013 Mackin Frank Room B2-3 Deane Campus [email protected] Tel.: (01204) 903847

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16 Student Representation and feedback Each student group will be required to elect a representative to the Course Committee and each representative will be invited to present a report to the committee on matters affecting the group. This provides an effective forum in which student views and concerns can be discussed and appropriate action taken. Student input to these processes is vital. In addition, sessions are regularly scheduled to enable the students to meet with their academic tutors to discuss the day-to-day running of the programme. The tutor is charged with the responsibility of obviating any difficulties identified at these sessions. From time to time a selection of students will meet with the External Examiners/Moderators, appointed to ensure standards are consistently maintained and fairness is guaranteed in the treatment of all matters affecting students. Students will also be required periodically to complete questionnaires relating either to individual modules or years of study. These help the programme management team make continual improvements to the programme.

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17 Teaching Rooms and Learning Resources 17.1 University of Bolton Laboratory Facilities

Learning Support and Development (LS&D) provides and manages the Information Technology (IT) and computing facility for the University. A full description of the services offered by LS&D can be found on the University web page: http://www.bolton.ac.uk/learning/

The university has a wide range of teaching and computing facilities in the Design Studio, these are dedicated to students on courses that involve design. The MSc Systems Engineering (pathway) and Engineering Management is such a course. The LS &D facility comprises many computer rooms located mainly on the ground flour of Eagle Campus and in the Design Studio. These rooms are used for teaching, tutorials and for non specified student access. The rooms are utilised by all departments via a booking system. In addition LS&D has an open access area where some 50 personal computers are available to individuals on a first come first served basis. All computers within LS&D are networked and capable of accessing a range of software to suit most needs. The network within LS&D is used for accessing both windows based software as well as for specific machines via suitable emulators. Access to the network is carefully controlled by the network supervisor and where necessary he may need to be consulted. An electronic Mail facility (e-mail) is also available via the LS&D network and full instructions in the use of the facilities are given during student induction. Access to JANET and the Internet is also available via LS&D. These facilities will be used on the Electronic & Computer Engineering programmes for general computing and design instruction e.g. word processing; spreadsheets; programming; numerical manipulation. The School also provides general-purpose computing laboratories that link to the University network and the Internet as well as providing a range of technology based software only available within the Department.

The school has several engineering laboratories electronic and computing, mechanical, materials, automobile engineering and civil engineering. These laboratories are usually dedicated to their subject however mechatronic laboratory work can be carried out in the most appropriate laboratory. The school also has workshop facilities. The school also has its own high capacity network server in addition to the university’s general network facilities. This network server enables distance learning courses via the internet to be delivered. Students on campus can use the server also and use the software on-campus. Additionally students can use the server remotely this enable them to use the software tools remotely anywhere were the student can log onto the server. Much of the module teaching material will be available on line via a virtual learning environment and tutors regularly publish web links to useful instructional information

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17.2 South Westfalia University of Applied Sciences Laboratory Facilities Overview of chairs and laboratories Electrical Engineering

Professor Participation Master course

Laboratory

Automation Technology

Bitzer X X

Computer Science

Kohring X

Control Engineering

Hafner X X

Data Systems / Data Acquisition

Krybus X X

Electrical Drives and Machines

Thiemann X X

Fundamentals of Electrical Engineering

Sachs X

Management Janzen X Marketing Platzek X Industrial Electronics

N.N. X X

Physics Müller X X Power Supply Ortjohann X X Project Management / HV Engineering

Meppelink X X

Technical English

Gdaniec X

Mechanical Engineering

Machine Tools and Installations

Petuelli X X

Manufacturing Processes with Lasers

Schmidt X X

Material Technology

Schulz-Beenken

X X

Process Automation

Beater X X

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17.3 Library services The library services of the South Westphalia University are organized by four regional departments. One of them is located in Soest. This department is responsible for the faculties Electrical Engineering and Mechanical Engineering. The media for Soest are organized locally. It is associated with the HBZ-Compound in Cologne. The administration, acquisition, and the coordination of the interlibrary lending services are located in the central department in Hagen. The library building in Soest is part of the campus and was newly build in 2002. The library is opened for eight hours a day. There are PC workstations for accessing and searching the internet and intranet. Here the students have access to manifold and up-to-date digital media and online databases (e.g. FIZ-Technology, DIN-Norm) and to electronic journals and books (e.g. Springer-Link). The media catalogue and user accounts are always accessible via intranet or internet. Media that are not locally available will be ordered from the other departments or via interlibrary lending services. Computer services The building of the Faculty Electrical Engineering incorporates the department of central computing services. It provides five rooms with high-end workstations and state-of-the-art teaching facilities. All locations are opened from 7.00 am to 8.30 pm during week. Each user is given a disk quota for saving personal data. All students have unlimited access to worldwide internet services. Four of these rooms are accessible by all students on campus. There are 70 workstations and additional locations for notebooks. All systems are regularly replaced after two to three years of working. The students have access to a variety of office software, high-level programming languages (C/C++), CAD tools, and simulation systems (Matlab/Simulink). The fifth room is only dedicated to the students of the Master course. Here, the students have extended access to research and industry specific software and can freely use laser printers, scanning facilities, and disc writers. Due to this arrangement, the university accounts to the special needs of the research-oriented course and replaces the software and hardware on a regular base, last time in summer 2007 and spring 2008. The students have access to a variety of office software, high-level programming languages (C/C++ and LabView), CAD tools, simulation systems (Matlab/Simulink), and further course specific applications (e.g. compiler for microcontrollers). The faculties Mechanical and Electrical Engineering are taking part in the Microsoft Academic Alliance Program. The software included in this program will be available for the students in summer semester 2008. The installation of the wireless network including all lecture rooms and laboratories of the Faculty Electrical Engineering (buildings 4, 6 and 13) will be finished in summer semester 2008. All systems are maintained by the department of central computing services. The local department consists of an engineer, one assistant, and up to three trainees. The workstations for the Master course students are permanently serviced by two post-graduate research engineers who flexibly react on the needs of the lecturers and students.

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Library Services Library Services are available within the Soest Campus. The Engineering and Technology resources include books, journals, audio-visual material, CD-ROMs and online material. The library’s study facilities include silent study areas. Your library card can be used to borrow books. Most books and other items can be borrowed for 3 weeks. Copies of essential texts are kept in a separate collection called the Textbook Collection and are available for photocopying. A wide range of electronic databases can also be accessed, many of them directly related to Engineering and Technology.

The library catalogue, which lists all book, journal and audiovisual material, is computerized and users can also check their own records, renew items and place reservations for items that are on loan. Access to the library catalogue and electronic resources is also available remotely from the web pages. Computer Services The Electrical Engineering building incorporates the central computing facilities for the Soest Campus and consists of teaching rooms and open access rooms. One of these computer rooms is dedicated to the students of the MSc course. This room has laser printers, scanning facilities, CD Writers and colour printing. It is open from 8.00 am to 10.00 pm the whole week.

It is essential that you retain marked work, for your own reference and also because the External Examiner may need to see it.

Technical Library Contact

Abteilungsbibliothek Soest Lübecker Ring 2 59494 Soest Tel. 0049 2921 378-303 or 378-304 Fax: 0049 2921 378-351

Opening Time

Monday to Tuesday: 08:00 am - 04:30 pm Wednesday to Friday: 08:00 am - 04:00 pm

Reference Persons

Frau Hannelore Fleischer [email protected] Tel. 02921 378 - 270 Frau Brunhilde Herold Frau Brigitte Seggewiß [email protected]

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Regulations

For students books are freely accessible and can be booked out at the lending desk on ground floor. For that purpose a valid student identity card is necessary. Loan period is normally 4 weeks. On regulatory reasons or due to a reservation by other library clients the loan period may be shortened. Books on loan have to be returned to the library on the last day of the loan period at the latest. For all media returned after the last day of the loan period, overdue fees, according the "Hochschul-bibliotheksgebührengesetz", will be charged:

Charges become due automatically, irrespective of whether the library has sent a reminder or not! In the event of a book becoming lost or damaged, the charge to cover the administration expenses is 25 Euro. Regulations for the Use of Computer Facilities The purpose of these Regulations is to ensure the operation of computer facilities in the University for the general benefit of all students and staff, and to ensure conformity with other institutions. (1) Users must not cause any form of damage to the University's computing equipment or

software, nor to any of the rooms and their facilities The term "damage" includes modifications to hardware or software which, whilst not permanently harmful, incurs time and/or cost in restoring the system to its original state

(2) The creation, display, production and circulation of offensive material in any form or on any medium is forbidden.

(3) The use of any of the computing facilities for private work (e.g. download of music) or for commercial gain is not allowed.

(4) Users must adhere to the terms and condition of all license agreements relating to any software installed on, or accessed by, the computers. In particular the duplication of any copyright material, without the permission of the copyright holder is expressly forbidden

(5) Users must not deliberately introduce any virus, worm, trojan horse or any other "nuisance" program or file onto any system or take deliberate action to circumvent any precautions taken by the University to prevent "infection" of its machines.

(6) Users must not delete other user's files or interfere in any way with the contents of their directories.

(7) Users must not use another user's username, nor permit or allow another user to use their own username. Users must not allow any password associated with his/her username to become known to another user.

(8) Users must not connect any device into the network without prior agreement from the Networking Manager.

(9) Smoking, eating or drinking in the Computer Room is forbidden.

(10) No equipment should be moved from its designated place, be tampered with in any way or have its characteristics changed by any unauthorised person.

(11) The University accepts no responsibility for the malfunctioning of any equipment software, nor failure in security or integrity of any stored program or data.

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18 Course Delivery The course is delivered using two separate cohorts of students one group recruited by South Westfalia University of Applied Sciences and the other by the University of Bolton. The normal pattern of course delivery for dual award students is indicated on Figure 18.1 and that for single award on Figure 18.2. Figure 18.1 indicates the normal exchange routes for students on the dual award scheme. In this scheme the student will normally spend two semesters at the intake university and one semester at the other collaborating university. However provided overall the balance of both university’s workload is not excessive then it is possible that some students can undertake their project in the collaborating university and not in their intake university in this case the student will spend one semester in the intake university and two in the collaborating university. This arrangement will be by mutual agreement between the two universities and the student.

Figure 18.1 Normal Dual Award Delivery Scheme

Soest Student Intake Bolton Student Intake

S1

Dual Award

Students

S1 Dual

Award Students

S2 Dual

Award Students

S2 Dual

Award Students

S3 Dual

Award Students Project Work

S3 Dual

Award Students Project Work

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Figure 18.2 Single Award Delivery Scheme

Soest Intake Bolton Intake

S1

Single Award

Students

S1 Single Award

Students

S2 Single Award

Students

S2 Single Award

Students

S3 Single Award

Students Project Work

S3 Single Award

Students Project Work

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18.1 Module Delivery Scheme: Semester 1: Intelligent Systems Signal Processing Business in Engineering Technical Publications & Presentations Monitoring of Mechanical Systems Semester 2: Advanced Control Technology Microprocessor Based Systems Project Management Integrated Management Advanced Production Engineering Semester 3: Project

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19 Further Information (South Westfalia University of Applied Sciences, (Soest) Additional Information Relating to South Westphalia University of Applied Sciences 19.1 Campus Map

SoestSoestSoestSoestSoest

Arnsberg

Bad SassendorfBad SassendorfBad SassendorfBad SassendorfBad Sassendorf

Werl

AS Soest-Ost (57)AS Soest-Ost (57)AS Soest-Ost (57)AS Soest-Ost (57)AS Soest-Ost (57)

Werler Landstraße

Werler Landstraße

Werler Landstraße

Werler Landstraße

Werler Landstraße

Schwarzer WegSchwarzer WegSchwarzer WegSchwarzer WegSchwarzer Weg Paderborn

Erwitte/Lippstadt

Beckum

Hamm

Lübecker R

ing

Lübecker R

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Lübecker Ring

Lübecker Ring

Lübecker Ring

Dortmund

Arns

berg

er S

traße

Arns

berg

er S

traße

Arns

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er S

traße

Arns

berg

er S

traße

Arns

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traße

Wisby-Ring

Wisby-Ring

Wisby-Ring

Wisby-Ring

Wisby-Ring

HattropHattropHattropHattropHattrop

Riga

-Ring

Riga

-Ring

Riga

-Ring

Riga-R

ing

Riga-R

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Paderborner Landstraße

MüllingsenMüllingsenMüllingsenMüllingsenMüllingsen

Kassel

4444

44

229

475

475

1

1

1

1

475

DB

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1 Agriculture (AW)2 Mechanical Engineering (MA)3 Administration Department4 EE)567

Electrical Engineering (Laboratory of Machines and Engines (MA)Laboratory of Machines and Engines (MA) & (EE)Laboratory of Machines and Engines (MA)

8 Refectory9 Technical Operation Service

Lecture Rooms11 Lecture Rooms and Audimax12 Library13 Laboratory for High Voltages (EE)14 Building for Laboratories (AW)15 Greenhouse (AW)16 Storehouse17 Technical Museum18 Franz West: “Kvadratur”

10

(work of art)CampusLübecker Ring

Zeichnung von Rudolf Rötering

49

20 Further Information (University of Bolton) Campus map: the map of the university campus is on page: http://www.bolton.ac.uk/AboutUs/CampusMaps.aspx The webpage is reproduced below for convenience: 20.1 Campus Maps and Directions

Below you will find a series of maps detailing parking facilities, departments, and information about the roads around the university, and how to get here from the surrounding motorways.

Also you can download our Visitors' Guide for more information and a printable version of the maps below (PDF viewer required).

For directions (by road) to the University of Bolton Main Reception, Deane Campus please download our How to Find Us guide (PDF viewer required).

50

20.2 Deane Campus Departments 20.2.1 A

• Innovation Factory

o Innovation Zone

o Woodwork & Metalwork Shops

o Special Effects

o Textiles

o Automotive

o Art and Design

Ceramics

3D Art Studio (Sculpture, Painting)

20.2.2 B

• Built Environment and Engineering

o Design

o Electronics

o School Office (B1-11)

• Network and Systems

20.2.3 C

• Games Computing and Creative Technologies

o Games Labs

o Computing Labs

o School Office (C2-13)

20.2.4 D

• General Classrooms

• Enrolment 2007/08

20.2.5 E

• Design Studio

o Graphic Design

o Visualisation

o Presentation Area

o Applications Area

o Technology Development

o Institute for Educational Cybernetics

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20.2.6 F

• Deane Lecture Theatre

• Deane Suite

• Product Design

20.2.7 G

• Built Environment

20.2.8 H

• Sports Hall

20.2.9 M

• Bolton Business School

o School Office (M1-22)

• Deane Deli

20.2.10 S

• Student Services

• Eagle Mall

• Cafe Athena

• CMRI - Centre for Materials Research and Innovation

20.2.11 T

• Eagle Tower

20.2.12 T1

• The Library

20.2.13 T2

• Health and Social Sciences

o Psychology

o Sport

• Computer Labs

52

20.2.14 T3

• School Administration Office

• Health

• Community Studies

• Early Years

• Biology

• Maths

20.2.15 T4

• CMRI

• General Classrooms

• Mathematics

• Health

20.2.16 U

• Students Union Building

20.2.17 Z

• Eagle House

20.2.18 Z1

• Finance

• Biology

• Estates

20.2.19 Z2

• Academic Quality and Standards

• Student Data Management

• Information Systems

• Security

20.2.20 Z3

• Centre for International Relations

• Centre for Enterprise

• Multicultural Centre

53

21 Module Descriptions

54

21.1 Intelligent Systems EEM4010 0. CODE EEM4010 1. TITLE Intelligent Systems 2. PATHWAY Systems Engineering (Pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: To understand the theory, design, tools and shells of real-time expert systems and neural networks for research projects and applications in industry. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: The Aims are to enable the student to understand, develop and use of current software simulation tools and to understand, design and implement intelligent systems for automation based on real-time expert systems, online neural networks and multi-agent systems. Methodology of expert systems:

Knowledge representation Different inference mechanism Types of architectures Expert-system shell

Artificial neural network applications:

Tools for online applications Preparing process data Special training algorithm Design of the architecture

Application of ANN:

Intelligent forecasting system Modelling non-linear process behaviour

Application of expert systems:

Process optimization (e.g. in refineries or power systems) Alarm processing and diagnose of faults

Multi agent systems for simulation 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: This module is split between formal lectures and laboratory-based practical work. Teaching will be based around handouts containing course material, and example programs. Assigned reading, tutorial and lectures will also be used to import knowledge. ECTS workload: Lectures 60 hoursComputer-based exercises 20 hours Discussion /review /tutorial 25 hours Coursework 60 hours Directed reading 25 hours Exam preparation 50 hours Total No Hours 240 hours

55

9. Learning Outcomes and Assessment Criteria:LEARNING OUTCOMES – when you have successfully completed this module you will:

ASSESSMENT CRITERIA - to demonstrate that you will have achieved the learning outcome you will:

1 Have knowledge and understanding of the principles of expert systems

1 Describe and discuss the principles, as knowledge presentation, architecture and inference mechanism. Calculate examples and derive theoretical formula

2 Be able to analyse and critically asses systems so that expert systems and neural networks can be used in a variety of application areas

2 Describe and discuss case studies and commercial tools.

3 Be able to design and implement intelligent systems

3 Analyse requirements and derive technical specification. Design and implement the case study with a simulation tool.

4 Have skills in the application and use design tools for Intelligent Systems

4 Develop multi-agent-software for simulation systems and integrate them into applications.

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type EX CW CW Description Exam(2 h). Analysis, design and

implementation task. Assessment will be based on quality of solution, documentation and function

Lab exercise in programming multi-agent-systems Group work, presentation and discussion

Percent of mark 50 30 20 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed

1 X 2 X X 3 X X 4 X X

Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

56

11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (B. Bitzer) Lecture notes University of Applied Sciences, South-Westphalia

2. (Gurney K )Introduction to Neural Networks (Paperback) CRC Press 1997

3. (Cawsey A) Essence of Artificial Intelligence (Paperback) Prentice Hall 1998

4. (T.S. Dillon, M.A. Laughton), Expert system applications in Power systems, Prentice-Hall, 1990

5. (E. Sanchez-Sinencio), Artificial neural networks, IEEE Press, L. Law, 1992

6. (R. Biernatzki, B. Bitzer, H. Convey, AJ Hartley). Prototype for an Agent Based Auction System for Power Load Management, In Proc. of the European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2002) Albufeira, Portugal, Verlag Mainz, Aachen, 2002

7. (R. Biernatzki, B. Bitzer, H. Convey, AJ Hartley). Agent Based Simulation of Interactions in the Liberalised

Energy Market, In Proc. of the 37th International Universities Power Engineering Conferences (UPEC 2002) Stafford, England, Staffordshire University, 2002

8. (Berthold Bitzer (Hrsg.)): Proceedings of the 3rd European IFS Workshop. Intelligent Forecasting Systems

for Refineries and Power Systems, Shaker-Verlag Aachen 2000 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.1

57

21.2 Signal processing EEM4011 0. CODE EEM4011 1. TITLE Signal Processing 2. PATHWAY Electronic Systems and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: The module is defined to impart a practical and theoretical knowledge of digital signal processing to the student. Students will learn to apply and to develop techniques for designing/implementing continuous time electrical networks using DSP techniques. Thus, techniques for evaluation of discrete time transfer functions from both frequency domain specification and from knowledge of the continuous time prototype are introduced and developed. Techniques for evaluating the performance of discrete time systems in the time and frequency domain from knowledge of the system transfer function using both long hand and CAD techniques are developed and introduced. Techniques for designing and implementing recursive and non-recursive digital networks are taught. Fast Fourier Transform and its applications is introduced. Computer aided design packages for simulating and designing discrete time networks will be applied. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Approximation theory Transfer functions, low pass, high pass, band pass, band stop and all pass filters Analysis and simulation using Matlab/Simulink Analogue System Implementation

- Filter network prototypes, low pass filters, frequency scaling , magnitude scaling - Network transformation, from LP to HP, BP and BS. - Analysis and simulation using Matlab/Simulink

Sampling theory

- Shannon's sampling theorem. - Sub-Nyquist Sampling - Signal and network aliasing

Z Plane (Digital) Transfer Function Analysis

- Constraints in z plane transfer functions - Recursive /non-recursive structures - Evaluation of system performance - From H(z) the z plane transfer function using mathematical techniques - From the z plane pole/zero diagram using graphical techniques - Using CAD systems

Analysis and simulation using Matlab/Simulink State Space Analysis of Discrete Time Networks Application of state space techniques to discrete time networks. Evaluation of State variables of Electrical and other systems. Equivalence of state variables and z plane transfer function description. Digital Signal Processing Hardware

- Fixed and floating point DSP processors. - A/D resolution, coefficient word length, instruction cycle speed, bench marks - Generation of hardware specification from system requirements

Recursive (IIR) discrete time structures

- Design and implementation of discrete time networks based on analogue prototypes. Bilinear transformation.

- Impulse invariant transformation. - Recursive structure overflow modes. Intermediate node distortion. Regular and transposed structures.

Relevance to fixed and floating point DSP hardware. - High order recursive structures - Analysis, synthesis, design and simulation using Matlab/Simulink

58

Non recursive (FIR) discrete time systems FIR structure and characteristics.

- Design based on inverse Fourier transforms and inverse FFT. - Windows and their characteristics. Design of Windows based structures. - Specialist FIR structures - Integrator, Differentiator, Hilbert Transform. - Use of CAD packages to design and evaluate the performance of FIR structures. - Analysis, synthesis, design and simulation using Matlab/Simulink

FFT Analysis

- Theory of DFT/FFT analysis - Algorithms for FFT/inverse - FFT/based algorithms

Development of Measurement Chains, Laboratory Tests

- Vibration testing, modal analysis - Process monitoring in metal cutting - Acoustic emission - Noise Emission

8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Structured notes will be used containing the required theory, worked examples and relevant tutorial questions. The lectures will be supported by tutorials in which the students will have to solve problems using both long hand methods and by using the supporting signal processing software. These problems will be taken from variety of engineering fields e.g. communications systems, control systems, instrumentation. Laboratory and tutorial sessions are used to compare theoretical analysis/simulation to the results obtained from the experiments on the hardware and also to gain practical experience in assessing signal characteristics by evaluating their statistical description. Practical tests on how to define and set up measurement chains will done in a laboratory. Students will have to define and set up particular task in signal processing in vibration control, modal analysis, evaluations and assessment of process data and feature extraction. ECTS workload:

Lectures: Computer based exercises: Discussion / Review / Tutorial: Coursework: Directed reading: Exam preparation:

45 hours30 hours25 hours60 hours30 hours50 hours

Total : 240 hours



1 Have knowledge and understanding of the theory of signal processing, time and frequency domain, analogue and digital signals

1 Be able to apply signal processing theory to practical situations

2 Have knowledge and understanding of the theory of filtering signals

2 Be able to apply to engineering scenarios and analyse performance through simulation

3 Be able to analyse and critically assess a system to apply signal processing simulation

3 Be able to set up different engineering application simulations and critically assess system performance to a variety of stimulations

4 Be able to develop measurement chains in practical application

4 Develop a systematic approach to data acquisition for signal processing

5 Have skills to apply data acquisition, analysis and visualisation tools to relevant application areas

5 Design measurement and simulation systems for practical engineering applications

59

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type EX PRA: CW CW <> Description Examination Develop measurement

chain to acquire process data. Assessment based on quality of design, analysis, function and documentation

Design of filters according to a given specification, simulation and analysis

<>

Percent of mark 50 20 30 <> LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X X 3 X X 4 X 5 X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (Lyons R) Understanding Digital Signal Processing 2004 Prentice Hall

2. (Mulgrew Grant & Thompson) Digital Signal Processing: Concepts and Applications 2002 Pub: Palgrave Macmillan

3. (Jervis, B. W), Digital Signal Processing, A Practical Approach, Prentice Hall, 2001

4. (Smith S) Digital Signal Processing: A Practical Guide for Engineers and Scientists Newnes 2002

5. MATLAB and Simulink Student Version Release 2007 Mathworks

12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Computing & Electronic Technology 15. VERSION NUMBER: 1.1

60

21.3 Business in Engineering EEM4013 0. CODE EEM4013 1. TITLE Business in Engineering 2. PATHWAY Systems Engineering (Pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 7(15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: There is a strong need for engineers to deal with essential elements of management, especially in developing and marketing of technologies. Theoretical understanding of this field makes interdisciplinary teamwork, planning and leading more effective. The aims of this module are to enable the student to participate in entrepreneurial management processes concerning the setting of targets, planning and marketing. This should be based on a system-theoretical understanding of the company and the ability to create and use models for analysis and solving of problems. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Introduction: understanding management The institutional view of management The functional view of Management: planning, organizing, controlling, leading, and deciding The strategic and the operational level of management and their connection Techniques and instruments of operational management Techniques and instruments of strategic management Marketing as „market-oriented management“ Marketing of technologies: the concept of „business to business“ marketing Excursus: costs and benefits Basic principles of „business to business“ marketing Analyzing strengths and weaknesses, opportunities and threats in competition Defining the marketing-mix: product development, pricing, communication and distribution 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Lectures and discussions in every topic. Case-studies to train analytic and modelling skills, especially related to the management of technologies. Role-play and case-studies to train business-to-business marketing. ECTS workload:

Lectures 60 hours Discussion /review /tutorial 40 hoursCoursework 70 hoursDirected reading 30 hoursTotal No Hours 200 hours

61



1 Have knowledge and understanding of management both as a function and an institution

1 Discuss the focus of Management within the business environment.

2 Have knowledge and understanding of basic management techniques and instruments

2 Describe management Instruments and their conditions for use within business situations.

3 Understand and be able to apply the benefit of management instruments in a practical environment

3 Practice the use of management instruments in realistic business environments as identified in case studies

4 Understand the role of markets in developing and selling of products and technologies

4 Be able to recognise and implement the stages of innovation in taking a product from conception to sales.

5 Have knowledge and understanding of the marketing concept as „market-oriented” management

5 Compare management and marketing conceptions and apply them to typical business environments.

6 Have knowledge and understanding of the principles and instruments of „business to business“-marketing

6 Discuss and compare business-to-business and business-to-consumer marketing, and be able to select models appropriate particular business scenarios.

7 Be able to solve „business to business“-marketing problems (in case studies)

7 Apply business-to-business marketing to practical situations identified in case studies

8 Have knowledge and understanding of technology-selling situations

8 Assess, critically analyse, develop and present a business presentation

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type PRE Cw <> <> Description Development and

presentation of a business-to-business selling situation (role-play)

Essay about different asserted problems and cases

<> <>

Percent of mark 50 50 <> <> LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X X 4 X 5 X X 6 X X 7 X 8 X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

62


1. (Porter M) Competitive Advantage Free Press 2004

2. (Johnson G, Scholes K, Whittington R) Exploring Corporate Strategy: Text and Cases 2007 Prentice Hall

3. (Kotler P) Marketing Management (International Edition) 2002 Pearson Education

4. (Babcock, D.L.): Managing Engineering and Technology – An Introduction to Management for Engineers. 2. Ed., London (Prentice Hall) 1996

5. (Dibb, S.; Simkin), L.: The marketing casebook – cases and concepts. London/New York (Routledge) 1994

6. (Hutt, M.D.; Speh), T.W.: Business Marketing Management – a strategic view of industrial and

organizational markets. 6. Ed., Fort Worth u.a.O (Dryden Press) 1998

7. (Lawless, M.W.; Gomez-Mejia, L.R. (Edts.): Strategic Management in High Technology Firms. Greenwich/London (JAI Press) 1990

8. (Lovelock, C.H.; Weinberg, C.B).: Marketing Challenges – Cases and Exercises. 3. Ed., New York u.a.O.

(Mc Graw-Hill) 1993

9. (Mahin), P.W.: Business-to-Business Marketing. Strategic Resource Management. Boston (Allyn & Bacon) 1991

10. (Mead, R).: Cases and Projects in International Management. Oxford (Blackwell) 2000

11. (Mintzberg, H.; Quinn), J.B.: The Strategy Process – Concepts, Contexts, Cases. 3. Ed., London u.a.o.

(Prentice-Hall) 1996 12. MODULE TYPE STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.0

63

21.4 Technical Publications and Presentations EEM4014 0. CODE EEM4014

1. TITLE Technical Publications and Presentations 2. PATHWAY Systems Engineering (Pathway)and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 7 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: Enabling the student

- to plan, compose and present scientific publications - to recognize, by logical analytical processes, subjects of scientific interest and potential - to isolate and clearly define the central problem or idea being investigated - to conduct an organized investigation of that specific topic - to proceed with a systematic search and collection of information from all accessible relevant sources, as

well as, after finding and sifting out the decisive facts - and finally to organize them according to their importance for the logical development of the argument.

7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Preparing scientific and technical publications:

Abstracts Papers

Presentations:

Oral presentations Poster presentations

Information acquisition:

Research in data-bases Electronic communication systems (e.g. WWW)

8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: The teaching is practice- oriented with supporting lectures in information acquisition. There is a strong emphasis on group-project work that is assessed through composition of abstracts and papers as well as oral presentation. ECTS workload:

Lectures: Discussion / Review / Tutorial: Assignment preparation and completion: Directed reading: Total No Hours

45 hours55 hours

2 x 40 hours30 hours

210 hours

64



1 Be able to prepare abstracts and papers intended for scientific and technical publications

1 Divide the central problem into specific problems or questions. Get thoughts down on paper in logical order. Evaluate and classify any findings according to the logical drift of the argument. Differentiate between the basic principles of different form of communication (description, analysis, summary etc.).

2 Be able to supply correct references to support assertions and to acknowledge ideas and material borrowed from other sources

2 Be able to construct a formal outline of a report that serves as a scientifically convincing frame for the arrangement of the collected data. Master the formal techniques and accepted standards of scientific publications. Be able to locate materials about a subject by a systematic, organized search of available sources. Be able to apply and use communication systems for information acquisition. Make use of the relevant library materials

3 Be able to elucidate and discuss papers in oral presentation

3 Formulate in adequate English both written and verbal presentations. Prepare presentations by employing suitable layout techniques. Prepare appropriate papers and presentations by defining, stating and illustrating the scientific significance of the investigation of the material to be discussed.

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type CW/PRE CW/PRE Description Written assignment

about a technical topic. Extent: ~2000 words and Oral presentation using slides or Power Point to perform the written assignment. Duration: ~10 min.

Written assignment about a technical topic. Extent: ~2000 words.Oral presentation using slides or Power Point to perform the written assignment. Duration: ~10 min.

Percent of mark 50 50 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X X 2 X X 3 X X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

65


1. (Holtom D, Fisher E) Enjoy Writing Your Science Thesis or Dissertation! Imperial College Press 1998

2. (Hall G) How to Write a Paper Blackwell Publishing 2008

3. (H. Ebel, C. Bliefert, and W. Russey), The Art of Scientific Writing (VCR. Weinheim, 1987).

4. (Day R) How to Write and Publish a Scientific Paper (ISI, Philadelphia, 1979).

5. (Young M) The Technical Writer's Handbook (University Science Books, Mill Valley, CA, 1989).

6. The Chicago Manual of Style, 13th ed. (University of Chicago, Chicago, 1982).

7. (Gowers E) The Complete Plain Words, 3rd ed. (Her Majesty's Stationery Office, London, 1986).

8. (Fowler) A Dictionary of Modern English Usage, 2nd ed. (Oxford University, New York, 1965).

9. (Strunk W, White E) The Elements of Style, 3rd ed. (Macmillan, New York, 1979).

10. (Tufte E) The Visual Display of Quantitative Information (Graphics Press, Cheshire, CT, 1989).

11. (Judd P) Physical Review Input Guide for Author Prepared Compuscripts, 1st ed. (American Physical Society, New York, 1983).

12. (Lamport L) A Document Preparation System. Addison-Wesley, 1986.

13. (Antion T) Wake ‘em Up: How to Use Humor and Other Professional Techniques to Create Alarmingly Good

Business Presentations. Anchor Publishing, Jan. 1999. 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.0

66

21.5 Advanced Control Technology EEM4015 0. CODE EEM4015

1. TITLE Advanced Control Technology 2. PATHWAY Systems Engineering (Pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: This research-oriented module enables the student to understand modern control techniques and the basic principles of Computational Intelligence often called Soft Computing with the two parts Neural Networks and Fuzzy Systems. The student should be familiar with the analytical methods of modelling and design of intelligent and cognitive systems for modern control and management. The goal is a mapping of the novel ideas into the application area on a research –oriented level with a deeper insight into modern advanced control technology and systems theory. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Simulation systems: Use of current software packages applying linear mathematics, using both analytical and numerical techniques, to achieve the following: Date analysis and visualisation Interactive programming, use of menu systems Use of current simulation packages to achieve the following: Understand the limitation of simulation systems Outline of simulation system architecture. Design of interactive models. Use of acceleration techniques to maximise simulation performance. Fuzzy I: Methods and Concepts Basic Notions of Fuzzy Logic

Membership Functions Fuzzy Sets Aggregation of Fuzzy Sets Fuzzy-Valued Relations Fuzzy Inference: Approximate Reasoning Methods of Defuzzification Knowledge Based Fuzzy Systems Fuzzy II: Applications Structure of Fuzzy Systems Method of Mamdani: Mamdani Controller Method of Sugeno: Sugeno Controller Fuzzy Reasoning Method Hybrid Systems and Fusion of Methods Evolutionary Algorithms (EA) Neural Networks and Technology Applications: Cognitive Systems 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: This module is split between formal lectures, tutorials and computer-based practical work. Teaching is based around handouts containing course material and simulation examples of real systems. Assigned reading, tutorial and lectures will also be used to import knowledge. ECTS workload:

Lectures: Computer based exercices: Discussion / Review / Tutorial: Coursework: Directed reading: Exam preparation: Total No Hours

50 hours30 hours25 hours

2 x 30 hours20 hours50 hours

235 hours

67



1 Be able to develop models of engineering systems in the field of electrical and mechanical engineering.

1 Constitute the differential equations of a system from its given attributes. Generate the state equations from a differential equation nth order. Trace the differential equations of a system to its block diagram.

2 Be able to use current software simulation tools 2 Solve differential equations with two different and common used software tools. Describe the limits of simulation tools. Distinguish and explain some numerical integration methods.

3 Have knowledge about fuzzy mathematics and many-valued logic

3 Understand and use basic notions of fuzzy logic. Identify and illustrate membership functions and the aggregation of fuzzy sets. Know and distinguish several fuzzy valued relations

4 Be able to design and implement fuzzy systems 4 Analyse the requirement and derive technical specifications for fuzzy systems. Compute fuzzy inferences and use different methods of Defuzzification. Explain the structure of Fuzzy Systems and know methods of Sugeno and Mamdani controllers.

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type PRA: CW CW EX <> Description The task is to

construct the model of a given system using different software tools, and to determine differences and possibilities.

Usage of a software tool to depict some basics of fuzzy logic. And a manual, analytical solution of a given fuzzy set.

Examination (2hours) <>

Percent of mark 20 30 50 <> LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X X 2 X X 3 X X 4 X X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

68


1. (Mukaidono M) Fuzzy Logic for Beginners by World scientific 2002

2. (Ross T) Fuzzy Logic with Engineering Applications by (Author) Wiley 2004

3. (Iserman R) Digital Control Systems, Spriner-Valeg 1991.

4. (Astrom K J, Wittenmark B) Adaptive Control, Addison-Wesley 1989.

5. (Dayhoff J E) Neural Network Architectures: An Introduction, Van Nostrand Reinhold 1990.

6. (Aleksander I) Morton H, An introduction to Neural Computing, Chapman and Hall 1992.

7. (Kosko B) Neural Networks and Fuzzy Systems, Prentice Hall, 1992.

8. (Lisboa P G J) Neural Networks: Current Applications, Chapman and Hall, 1992.

9. (Driankov D , Hellendoorn H, Reinfrank M) An Introduction to Fuzzy Control, Springer-Verlag, Heidelberg (1992).

10. (.Rumelhart D, Mc Celland J) Parallel Distributed Processing, Vol.1: Foundations & Vol.2: Psychological

and Biological Models, MIT Press, Cambridge (1986).

11. (Pao Y) Adaptive Pattern Recognition and Neural Networks, Addison-Wesley Pub.Comp., New York (1989).

12. (Chua L, Roska T) Cellular neural networks and visual computing-Foundations and applications,

Cambridge University Press, Cambridge (2002).

13. (Mordeson N, Nair P) Fuzzy Mathematics, Series Studies in Fuzziness and Soft Computing, Physica-Verlag, Heidelberg (1998).

14. (Margaliot M, Langholz G) New Approaches to Fuzzy Modeling and Control – Design and Analysis World

Scientific, Singapore (2000).

15. (Wang Z, Klir G) Fuzzy Measure Theory, Plenum Press, New York (1992). 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.1

69

21.6 Microprocessor Based Systems EEM4016 0. CODE EEM4016

1. TITLE Microprocessor Based Systems

2. PATHWAY Electronic Systems and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: To select and use appropriate microprocessor hardware and software to solve real-time embedded system monitoring and control design problems. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Basic principles of digital systems: Digital versus analogue electronics Digital logic, Logic families, functions and gates, Memory types Microprocessor architectures: Comparison of 8,16,32 bit microprocessors, microcontrollers and RISC microprocessors Instruction sets, architecture, speed, cost, support chips, interrupt facilities Memory and peripheral devices Software Development: Comparison of low and high level languages Use of C to program microprocessors/microcontrollers Code generation procedures. Structured programming techniques Creation of re-usable library functions. Software testing procedures. Development of embedded microprocessor systems: Design of a system to meet the technical requirements of a specified engineering problem Incorporation of interrupts, parallel and serial interfaces, power control Requirements analysis and specification Hardware and software partitioning Project planning and time tabling, cost analysis, documentation archiving procedures Use of In Circuit Emulators and debugger tools System testing techniques Transducers and the interfacing of analogue and digital circuits: Overview of transducer types with emphasis on interfacing methods to microprocessor based systems Signal sampling, Analogue and digital signals Digital to analogue conversion, Analogue to digital conversion Performance specifications Applications in the automobile industry. Data communications: Alphanumeric codes and serial communications An overview of interface standards such as RS232C, USB, I2C.

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8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: This module is split between formal lectures and laboratory-based practical work. Teaching will be based around handouts containing course material, and example programs. Assigned reading, tutorial and lectures will also be used to import knowledge. ECTS workload:

Lectures 30 hoursComputer-based exercises 40 hoursDiscussion /review /tutorial 30 hoursCoursework 2 x 30 hoursDirected reading 30 hoursExam preparation 50 hoursTotal: 240 hours



1 Have knowledge and understanding of the main concepts, interfaces and peripheral components associated with microprocessor based systems

1 Describe and discuss the main characteristics of microprocessor and microcontroller architectures. Describe the features and application of various peripheral modules and IO-Interfaces in a typical microcontroller.

2 Have knowledge and understanding of the development tools for microprocessor based systems

2 Evaluate, select and use appropriate design tools for the development of microprocessor based systems.

3 Have skills in design and developing of software for embedded systems in ‘C’ have skills in testing microcontroller systems and using design tools such as Integrated Development Environments and In Circuit Emulators

3 Develop software to use the peripheral components of a microcontroller (IO Ports, AD-Converter, Timer) and integrate them to application programs.

4 Be able to design and implement microcontroller systems for

- signal processing - simple control applications - intelligent systems

4 Analyse requirements and derive a technical specification. Design and implement a system to meet the technical requirements.

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 Type PRA: CW PRA: CW EX Description Design and implementation

exercise. Assessment will be based on quality of design, documentation and function

Analysis, design and implementation task. Assessment will be based on quality of analysis, design, documentation and function

Examination (2 hours)

Percent of mark 25 25 50 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X X X 4 X X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination

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IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (Bates) Programming 8-bit PIC Microcontrollers in C: With Interactive Hardware Simulation 2008 Newnes

2. (Di Jasio L) Programming 16-Bit PIC Microcontrollers in C: Learning to Fly the PIC 24 (Embedded Technology): Learning to Fly the PIC 24 (Embedded Technology Newnes 2008

3. (Krybus, W) Lecture Notes, University of Applied Sciences, South-Westphalia

4. (Dhananjay V. Gadre )Programming and Customizing the AVR Microcontroller McGraw-Hill, 2000

5. ( Kernighan B, Ritchie D) C Programming Language Prentice Hall, 1988

6. (Heath) Microprocessor Architecture, Heath, Oxford, 1995.

7. (Ball S) Embedded Microprocessor Systems: Real World Design, , Butterworth-Heinemann, 2000

8. (Arnold K) Embedded Controller Hardware Design, LLH Technology Pub, 2001

9. (Simon D) An Embedded Software Primer, David E. Simon, Addison-Wesley, 1999

10. Atmel Web Site: www.atmel.com

11. Microchip website www.Microchip.com

12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Computing & Electronic Technology 15. VERSION NUMBER: 1.1

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21.7 Project Management EEM4017 0. CODE EEM4017 1. TITLE Project Management 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 7 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: Just in time development of new products requires a systematic approach using the methodology of modern project management. A basic knowledge is essential for engineers from all disciplines. Students should learn to conduct e-business effectively and competitively in the Web-enabled marketplace. Newly scientific oriented tracks have been added, focusing on migration, outsourcing, Web content management, customer service and technology selection study and use a special prepared booklet, which is subdivided into market segments, to locate and to manage their specific requirements in the complex field of engineering management 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Historical background What characterises a project Cost, time and facts as targets of projects What is the project manager's responsibility Specifications The work breakdown of projects Computer programmes for PM Milestones Commitments of project team members Psychology Cost controlling in projects Project meetings Project meeting report Project documentation PAC/FAC Claim management Final project calculation Industrial applications Introduction to Technology Business Plans Marketing strategy Manufacturing Forecast of sales, cash flow and break-even Summary 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: The teaching is based on a case Study of a representative project accompanied with the associated lecturer. The case study includes also the use of project management software to simulate certain steps of project management. Active participation in brainstorming documentation and reports is essential. Even the oral presentation shall be compulsory for all participants. ECTS workload:

Lectures 45 hours Computer-based exercises 20 hours Discussion /review /tutorial 30 hours Assignment preparation and completion 45 hours Coursework 40 hours Directed reading 20 hours Total No. Hours 200 hours

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1 Have knowledge and understanding of the historical background of project management.

1 Describe the main characteristics of project management. This will set the subject in its historical context and illustrate the roles and characteristics of all those involved in project management.

2 Understand what characterises a project in terms of cost, time and facts. How these are interpreted as targets outcomes of projects.

3 Have knowledge and understanding of what is the project manager's responsibility.

4 To analyse and critically appraise a project with regard to specifications, to breakdown projects into packages, to set Milestones and to use Computer programmes for PM.

2 Critically appraise a project and after analysis, design a project management plan using the computer program MS project. This project plan will show the work break down, introduce milestones, allocate resources and show the cost versus time as well as the load of resources. 5 Have a knowledge and understanding of project

team members, team psychology and how to motivate the team to meet the commitments of project.

6 Be able to manage a project taking into account how to:

control Costs in projects organise Project meetings write Project a meeting report prepare Project documentation reach PAC/FAC prepare Claim management do the final project calculation

7 Be able to design a business plan taking into account how to

set up a marketing strategy estimate manufacturing costs forecast sales

3 To take over different management positions in a role play to show the roles of those involved in designing a business plan

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4Type CW/PRE CW/PRE <>Description Preparation of a typical

project: work break down, milestones, allocation of resources and cost versus time, load of resources and presentation of the results within 20 min.

Students will form management teams to prepare business plans for virtual companies. The assignment includes a report (about 10 pages) and an oral presentation of 10 minutes per student

<>

Percent of mark 50 50 <>LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X 4 X 5 X X6 X X7 X Each assessment item in the module to be entered separately

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Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. Guide to the Project Management Body of Knowledge, A: Project Management Institute; 3Rev edition (Oct 2004)

2. (Bentley C) Prince 2 Revealed: Including how to use Prince 2 for smaller projects: Including How to Use Prince 2 for Smaller Projects) 2006 Butterworth-Heinneman

3. (Maylor, H) Project management. 3rd Ed. Prentice Hall/Financial Times, Harlow. 2003. 4.

(Marchewka, JT). IT Project Management. Wiley. 2003. 5.

(Bailey, J). Managing People and Technical Change. 1993. 6.

(Chapman & Ward). Managing Project Risk and Uncertainty. Wiley, Chichester. 2002. Microsoft Project 2000.

7. (Lock D)., Project Management, 7th Edition, Gower, 2000

8. Kliem R., The People Side of Project Management, Gower, 1994

9. (Nicholas, J), Managing Business and Engineering Projects, Prentice Hall, 1990

10. (Andersen, E)., Goal Directed Project Management, Kogan Page 1995

11. (Spinner, P)., Elements of Project Management, Prentice Hall, 1992

12. (Kliem, R)., The People Side of Project Management, Gower, 1994

13. (Badiru, A.B) Project Management in Manufacturing and High Technology Operations. 2. Ed., New York

u.a.o (Wiley) 1996

14. (Burke, R).: Project Management – Planning and Control. 2. Ed., Chichester (Wiley) 1997

15. (Meppelink) Lecturer’s Notes 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.0

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21.8 Monitoring of Mechanical Systems EEM4018 0. CODE EEM4018 1. TITLE Monitoring of Mechanical Systems 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: The module is defined to impart a practical and theoretical knowledge of assessing and monitoring mechanical systems by aid of digital signal processing to the student. Students will learn to apply and to develop techniques for assessing, designing and implementing systems to evaluate and monitor dynamic characteristics of mechanical systems. They are applied to assess the status of mechanical systems, e.g., with respect to predictive maintenance. Furthermore, systems for monitoring of manufacturing processes to ensure quality of products will be presented and discussed. Thus, techniques for evaluating dynamic characteristics of machines and systems or signals generated by manufacturing processes are discussed. Students will learn to define measuring chains based upon standard components. This includes so called sensorless monitoring. Different manufacturing processes such as metal cutting and forming will be realised and signals will be acquired accordingly. Feature extraction will be applied to gain and develop knowledge about systems’ characteristics as well as of processes and to extensively evaluate signals picked-up by different sensors at different mechanical systems and/or manufacturing processes. Influences characteristic for the status of systems and/or processes will be enforced to study variations of features. Based on the knowledge of process signals methodologies to extracted features thereof are developed and introduced. Procedures to monitor individual machines, systems and processes are given.

7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Data acquisition systems and data processing

- transducers, signal conditioning, amplifiers, filters - data acquisition boards, measuring systems, - definition of signal features and extraction, - methodologies to assess short term and long term feature variations -

Evaluation of hardware specification and integration based on system requirements - integration of sensors into mechanical systems - sensorless monitoring - off the shelf systems, customised monitoring systems

Monitoring machines and systems with respect to predictive maintenance vibration testing, modal analysis, field applications Manufacturing tests in metal machining processes: milling, turning, forming, grinding parameters: cutting / forming speed, feed rate, geometry of tools, wear of tools Development of measurement chains, Online and offline data processing Assessment of features, Definition of limits to assess process status

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8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Structured notes will be used containing the required theory, worked examples and relevant tutorial questions. The lectures will be supported by tutorials in which the students will have to solve problems using both long hand methods and by using the supporting signal processing software. These problems will be taken from a variety of engineering fields e.g. metal cutting and metal forming, control systems, structural dynamics.

Laboratory and tutorial sessions are used to compare theoretical analysis/simulation to the results obtained from the experiments on the hardware and also to gain practical experience in assessing signal characteristics by evaluating their statistical description.

Practical tests on how to define and set up measurement chains will be done in a laboratory. Students will have to define and set up particular task in manufacturing processes for data acquisition, signal processing and evaluations and assessment of process data and feature extraction. ECTS workload:

Lectures 50 hoursComputer-based exercises 30 hoursDiscussion /review /tutorial 20 hoursCoursework 60 hoursDirected reading 30 hoursExam preparation 50 hoursTotal No. Hours 240 hours



1 Have knowledge and understanding of the theory of signal processing in time domain, and feature extraction

1 Be able to apply signal processing theory to practical situations

2 Have knowledge and understanding of the theory of data acquisition in monitoring of mechanical systems and metal machining processes

2 Be able to apply to engineering scenarios and analyse performance of different monitoring systems available

3 Be able to analyse and critically assess features extracted from different monitoring systems

3 Be able to set up different engineering application and feature extraction systems and critically assess system performance to a variety of mechanical systems and metal machining processes

4 Be able to develop measurement chains in practical application

4 Develop a systematic approach to data acquisition for signal processing

5 Have skills to apply data acquisition, analysis and visualisation tools to relevant application areas

5 Design measurement and monitoring systems for practical engineering applications

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type EX PRA: CW CW <> Description Examination Develop a data

acquisition system mechanical system in order to acquire, condition and process the acquired data.

Design of a specification of a sensor system according to a given specification.

<>

Percent of mark 50 30 20 <> LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X X 3 X X 4 X 5 X

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Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (McConnell, K), Vibration Testing, John Wiley & Sons Inc., 1995.

2. (Ewings, D.J); Modal Testing, Research Studies Press, John Wiley & Sons, 2000,

3. (IOtech, Inc) Data Acquisition Handbook, IOtech, Inc, 2008.

4. (Chugani M, et al) LabView Signal Processing, National Instruments, 1998 5.

(Johnson G, Jenings R); LabView Graphical Programming, McGraw Hill, 2001

6. (Chen C), System and Signal Analysis, Holt Rinehart and Winston, 1988 7.

(Lynn P.A), Introduction to Analysis and Processing of Signals, Hemisphere Publishing , 1993

8. (Zimmer R. et al), Signals and Systems, 3rd edition, McMillan, 1996.

9. (Ifeachor E & Jervis B), Digital Signal Processing, a practical approach, Addison Wesley, 1993

10. (Petuelli G, Blum G, Schmitte F, Welkner K): µC-Based Signal Processing in Process Monitoring, Proc. of IEEE AFRICON ´99.

11. (Petuelli G & Blum G): Knowledge Based Process Monitoring in Mass Production, in: Advances in

Manufacturing, Decision, Control and Information Technology, edited by Sp.G. Tzafestas, Springer 1999, ISBN 1-85233-126-7, pp 69-78.

12. (Hu W, Starr A & Leung A), A multisensor-based system for manufacturing process monitoring, Proc. Instn.

Mech. Engrs., Vol 215, Part B, 2001.

13. (Braun S) Discover Signal Analysis, An Interactive Guide for Engineers (Wiley 2008). 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 0.1

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21.9 Advanced Production Engineering EEM4019 0. CODE EEM4019 1. TITLE Advanced Production Engineering 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: Students will be able to leverage their knowledge and skills in management and control of the production environment and in areas related to production system design and improvement. They will master different methods used to approach and analyse production engineering and management problems and possess an ability to cooperate with people specialized in manufacturing engineering, automation a.s.m. The basic objectives are as follows:

- understand modern production technologies and philosophies and, based on this, formulate and solve operational and strategic problems in design, operation and improvement of mechanical systems understand and change over of innovative “Rapid Technologies”

- master modern reengineering and improvement tools in manufacturing, and methods used in analysing performance of the mechanical system

- understand relations between customer orders and demand and the resulting shop orders, via the process of manufacturing planning and control

- understand and analyse how manufacturing interplay with economic, organizational and business issues of the firm, and be able to formulate an operational manufacturing strategy

- be an expert in manufacturing process control and optimisation, often with the purpose to improve production economics and efficiency

- be an invaluable team worker/project leader as a production process expert in any situation of interdisciplinary physical product development.

7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: I. Introduction into the topic - typical points/steps of business plan (management summary, product/service offer, market/field, marketing concept, technologies, production/procurement, management and organisation, result and financial planning, changes and risks) - role and function of production management II. Production process, production capacities and factors connected with the production - overview of production function - production methods / manufacturing methods - innovative methods of rapid technologies (rapid prototyping, rapid tooling a.o.) - production depth - production organization - production locations - production machining systems - planned investments - quality assurance - pre-material situation (raw material availability, standard part availability) - manner and features of the most essential suppliers (reliability) - calculation of the production costs - expected finish curve effects / expectation curve effects III. Innovative e-manufacturing strategies in production management - fundamentals - structure of e-manufacturing systems - demonstration and practical exercises based on laser materials processing IV. Summary, conclusions, outlook

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8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Lectures, seminars, practical exercise, case studies, reports from external experts and visits to industrial plants. There is a strong emphasis on project work which is assessed through practical demonstration, report, writing and oral presentation. ECTS workload:

Lectures: Computer based exercises Discussion / Review / Tutorial: Coursework: Directed reading:


3 x 30 hours40 hours

Total No. Hours 240 hours



1 have a systematic understanding of mechanical systems, manufacturing and production management

1 • have qualitative and quantitative statistical skills • have communication, computing and presentation skills appropriate to mechanical systems in different branches

2

have understanding of industrial processes for production system environment

2 • analyse practical situations and generate solutions to problems arising in the field • organise efficient team work by means of clear organisational structures and optimised communication within a corporate working atmosphere

3 have knowledge of improvement tools and techniques in different contexts

3 • able to undertake successfully an extended project in failure and process analysis

4 have a comprehensive knowledge of methods, and tools to manage complexity and control of advanced production systems

4 • define the principles of manufacturing procedures • quote the basic features of DIN 8589 ff.

5 skills in using computer-based manufacturing, virtual tools for development and operation of mechanical systems

5 • be able to manage the conception, and installation of an future-oriented e- manufacturing project • apply the system concerning laser materials processing

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type CW/PRE PRA/CW Description Written Assignment

about the quality characteristics of a product. and the production process Extent: ~2400 words Presentation of the paper

Assignment about modelling and simulation of production systems and manufacturing processes Extent: ~1500 words

Percent of mark 60 40 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X 4 X 5 X

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Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (Productivity Press Development Team) Pull Production for the Shopfloor Productivity Press 2002

2. (Pascal D) Lean Production Simplified, Second Edition: A Plain-Language Guide to the World's Most Powerful Production System, Lean Productivity Network 2007

3. (Wright O)Manufacturing Resource Planning: MRP II: Unlocking America's Productivity Potential, Revised Edition Wiley 1996

4. (W. Schmidt) Student Notes Production Management/Controlling” 5. (A Gebhardt) Rapid Prototyping, Hanser Gardner Publications 2003 6. (Hopp W & Spearman M) Factory Physics: Foundations of Manufacturing Management McGraw Hill 2000 7. (George M) The New Lean Toolbox: Towards Fast, Flexible Flow PICSIE Books 2004

12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 0.1

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21.10 Integrated Management Systems EEM4020 0. CODE EEM4020 1. TITLE Integrated Management Systems 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 8 (15) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Total Quality Management (TQM): • Quality systems continual improvement and auditing. • Evaluating the costs of conformance and non-conformance. • Reliability, total preventive maintenance (TPM) and FMEA. • Dealing with people in quality systems: customer and employee care An overview of International Organization for Standardization (ISO) 9000 systems Environmental Management Systems (ISO 14001): • Objectives and motivation of environmental protection • Activities and procedures to set up an EMS • Environmental policy and review • Structure of ISO14000/14001 • Environmental Management Manual Innovation and technology Management • Innovation Management Principles and Methodologies • Product/Process evaluation • Introduction and principles of TRIZ – Systematic Innovation Management • Overview of TRIZ techniques • TRIZ Implementation aspects 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Lectures, seminars, practical exercises, case studies, reports from external experts and visits to industrial plants. There is a strong emphasis on project work which is assessed through practical demonstration, report, writing and oral presentation. ECTS workload:

Lectures: Computer based exercises Discussion / Review / Tutorial: Coursework: Directed reading:


3 x 20 & 1 x 40 hours40 hours

Total No. Hours 240 hours

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1 Have understanding of Total Quality Management and ISO Quality systems

Define the similarities and differences of TQM and ISO Quality Systems

2 Be able to take part in the management of the implementation process of Quality Systems (TQM and ISO)

Be able to define processes and issues needed to be accounted for in the implementation of TQM and ISO Quality Systems

3 Have knowledge of improvement tools and techniques in different contexts

Be able to use the tools in a project context

4 Have knowledge of Innovation management system

Be able to define and utilise an appropriate innovation management system.

5 Have knowledge of TRIZ fundamentals and tools and ability to perform analysis and innovative idea generation in a systematic way.

Be able to use TRIZ to solve difficult problems and generate new innovative ideas

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type CWPRE CW/PRE Description Assignment

associated with a Quality Management System in an Organisation

Assignment related to the application of innovation management systems

Percent of mark 40 60 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X 4 X 5 X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

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1. (Dahlgaard, Kristensen & Kanji) Fundamentals of Total Quality Management-Chapman & Hall, 1998

2. (Gyrna F et al) Juran's Quality Planning and Analysis for Enterprise Quality McGraw Hill 2006 3. (Pearatec) - Total Quality Management – Chapman& Hall, 1998, ISBN 0 412-58640.

4. Caplen – The Quality system: A sourcebook for managers and engineers, Chilton 1980

5. Davis - Productivity improvements through TPM – Prentice Hall – 1995, ISBN; 013 133034-9

6. (Tricker R & Wilkinson J) ISO 9001:2000: The Quality Management Process Van Haren Publishing 2006

7. (Jackson,S) The ISO 14001 Implementation Guide, John Wiley & Sons, Inc 1997

8. (Verburg R et al) Managing Technology and Innovation: An Introduction, Routledge 2005,

9. (Afuah A): Innovation Management: Strategies, Implementation, and Profits, OUP 2003

10. (Orloff M) Inventive Thinking Through Triz: A Practical Guide Springer-Verlag Berlin and Heidelberg GmbH 2006

11. (Altshuller G) TRIZ research report: An Approach To Systematic Innovation, 1998, ISBN:1879364999

12. (Altschuller G) The Innovation Algorithm. TRIZ, Systematic Innovation and Technical Creativity. Technical Innovation Center, Inc. 1999.

13. G. Altshuller, Lev Shulyak, Dana Clarker Sr: ‘40 Principles Extended Edition: TRIZ keys to Innovation’, Technical Innovation Center, Inc. April 2005

14. (Mann D) Hands On: Systematic Innovation Creax Press 2003


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21.11 Master’s Project EEM5001 0. CODE EEM5001

1. TITLE Master’s Project 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 30 (60) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: This module enables students to bring together the knowledge and skills attained in the earlier and co-terminus modules to investigate a selected topic reviewing the literature, presenting seminars and preparing material in a form for publication. The project is supposed to demonstrate the student’s capabilities to perform independent but guided research to solve practical problems with theoretical and analytical knowledge. The overall purpose of the module is to develop in the student an understanding of the steps involved in planning and conducting a research project and in communicating the findings both orally and in writing. 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Identification of a research topic in which staffs have experience and which is of interest to the student. Preparation of a work plan and identifying the appropriate techniques and the project structure. Undertaking a literature review to place the investigation in context. Conducting the investigation and keeping a detailed record of findings. Preparing and delivering seminars to colleagues and examiners. Writing up the results of the investigation in a form, this could be published. Identifying the potential utility of the research in terms of its application to social, economic or cultural needs. 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Students will be required to carry forward the work of the project to demonstrate initiative and self-motivation. Supervisors will provide expert support as appropriate and will recommend links with other sources of academic and industrial input. They will also give guidance on methodology, the format and content of written and oral presentations and on the submission of the final report. It is expected that progress be reviewed through a number of formal interviews spread over the project period. This will also provide exposure to criticism and debate, which will be beneficial to the candidate. 9. Learning Outcomes and Assessment Criteria:LEARNING OUTCOMES – when you have successfully completed this module you will:


1 have learned on how to examine a given problem with respect to procedures to solve it

1 Carried out project literature searches and described problems in a structured manner.

2 have learned to define the major topics of problems to be solved

2 give a short description of problems and points to be solved

3 have learned to manage a project 3 set up a project plan 4 have learned to write a technical paper 4 project description, interims report, final report,

presentation 5 have learned to concentrate on major topics 5 Have prepared a project plan and table of contents to

give adequate time management. Having identified and characterised the project carried the relevant developmental work and then tested the solution against the project objectives.

6 have given presentations on your project, concentrated on major points

6 Gained presentational skills suitable for future research activities.

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10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2 3 4 Type PRE IS PRE PRA Description Presentation of

project , assessment based on quality of presentation of interims report

Dissertation, assessment based on quality of project and outcome

Performance during viva voce

Academic supervisor’s report

10 60 20 10 LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 x x x 2 x x x x 3 x x 4 x x 5 x x x x 6 x x Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment 11. INDICATIVE READING - amongst some of the materials you may be required to consult are: (up to 15 titles with date of publication)

1. (Cooper, B) Writing Technical Reports Penguin, 1987

2. (Howard K & Sharp J) The Management of a Student Research Project, Gower,1983

3. (University of Bolton): Notes of Guidance for the Preparation of Dissertations for Masters Degree Courses 12. MODULE TYPE: STAN 13. MODULE LENGTH: 1 14. HOST SUBJECT GROUP Built Environment and Engineering 15. VERSION NUMBER: 1.1

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21.12 Microcontrollers AMI4655 0. CODE AMI4655 1. TITLE Microcontrollers 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 10 (20) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: This module considers the application of programmable microcontrollers and their use in microprocessor based systems. Various approaches to hardware configuration, interfacing and microcontroller architecture are examined, with case studies. There are practical exercises throughout, involving programming a microcontroller - first using assembler and subsequently, using the programming language C. Techniques for emulation and simulation are covered, together with tools for fault finding. Structured programming techniques are emphasized because the flexible reusable code that results leads to efficient working and reduced development times. Who can benefit? The module is likely to be of interest to design engineers, programmers and anyone wanting to know more about the programming and applications of microcontrollers. It can be studied on its own or as part of a programme leading to a formal qualification. Aims The aims of the module are: - to provide detailed knowledge of typical microcontroller architectures, and the criteria for selecting a microcontroller for a particular application. - to provide an appreciation of programming methods in assembler and the C programming language - to develop expertise in fault-finding - to give experience in the application of microcontrollers in the design of real products, including embedded applications, 7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Microprocessor and microcontroller architectures Microcontroller and microprocessor modes, peripheral units within a microcontroller, configuration methods. Microchip PIC and Motorola architectures. Development of embedded microprocessor systems Instruction set and operations Typical microcontroller instruction set. Bit operations, ports, masking, interrupts Hardware development Design of suitable interfaces for microcontroller and microprocessor modes. Software development Study of assembly language programming for a microcontroller, code generation procedures, structured programming techniques, reusable library functions, software testing procedures, study of the C programming language and its use in embedded systems. Case studies Typical examples are: - development of a temperature monitor using a microcontroller. - development of an external memory interface for a microcontroller in microprocessor mode. - development of a washing machine controller using a microcontroller.

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8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Typically the generality of a concept is introduced in the online text and the student is then directed to a variety of information sources to research and analyse the subject area further, reflect and draw appropriate conclusions. Self-assessment questions (SAQs) throughout the module reinforce the concepts and help students to monitor their progress and the effectiveness of their study. The module includes practical exercises using an electronic kit which is provided on loan for the purpose. The module is assessed by two assignments of equal weighting. Each assignment includes practical elements and will involve design work based on realistic case studies.

ECTS worload

Lectures 40 hoursComputer-based exercises 60 hoursDiscussion /review /tutorial 30 hoursCoursework 2 x 40 hoursDirected reading 30 hoursTotal: 240 hours

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1 be able to design a system using a microcontroller.

demonstrate expertise in highly specialised and advanced technical aspects of designing a microcontroller for an application.

2

be able to develop application software using both low and high level programming languages

2.1 Demonstrate expertise in advanced application of

software using a low level language.

2.2 Demonstrate expertise in advanced application of

software using a high level language.

3 be able to employ industry standard development and diagnostic software.

transfer and apply diagnostic skills to the application of industry standard techniques to the developed microcontroller system.

4 be able to demonstrate experience in the application of microcontrollers in the design of real products.

exercise appropriate judgement in the areas of planning and design to the application of a microcontroller in the design of a real product

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2Type CW/PRA CW/PRADescription Design and implement a project to

provide an intelligent light switch with the ability to learn and repeat patters of usage. To act as a burglar deterrent. This should include the physical and the software aspects of the implementation

Develop software to the defined specification. To provide the required facilities and controls for a component test system

50 50LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 x x2 x x3 x x4 x x Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

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1. (Morton J) PIC: Your Personal Introductory Course, Newnes, 1998, ISBN 0-750-63932-6.

2. (Predko, M) Programming & Customizing the PICmicro, 2nd Ed., 2000, ISBN 0-071-36172-3

3. (Huang H) MC68HC11 An Introduction: Software and Hardware Interfacing, West Publishing Co., 1995, ISBN 0-314-06735-3.

4. (Heath, S) Embedded System Design, Newnes, 2000, ISBN 0-750-63237-2

5. (Ball, S) Embedded Microprocessor Systems - Real World Design, Newnes, 1996, ISBN 0-750-69791-1

6. (Cahill S.J), C for the Microprocessor Engineer, Prentice Hall, 1994, ISBN 0-111-5825-2 7. (Bates) Programming 8-bit PIC Microcontrollers in C: With Interactive Hardware Simulation 2008 Newnes

8. (Di Jasio L) Programming 16-Bit PIC Microcontrollers in C: Learning to Fly the PIC 24 (Embedded

Technology): Learning to Fly the PIC 24 (Embedded Technology Newnes 2008

9. (Krybus, W) Lecture Notes, University of Applied Sciences, South-Westphalia

10. (Dhananjay V. Gadre )Programming and Customizing the AVR Microcontroller McGraw-Hill, 2000

11. ( Kernighan B, Ritchie D) C Programming Language Prentice Hall, 1988

12. (Heath) Microprocessor Architecture, Heath, Oxford, 1995.

13. (Ball S) Embedded Microprocessor Systems: Real World Design, , Butterworth-Heinemann, 2000

14. (Arnold K) Embedded Controller Hardware Design, LLH Technology Pub, 2001

15. (Simon D) An Embedded Software Primer, David E. Simon, Addison-Wesley, 1999

Microchip web site www.microchip.com for applications data sheets.


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21.13 Digital Signal Processing AMI4622 0. CODE AMI4622 1. TITLE Digital Signal Processing 2. PATHWAY Systems Engineering (pathway) and Engineering Management 3. LEVEL HE7 4. CREDITS ECTS 10 (20) 6. DESCRIPTION AND PURPOSE OF MODULE – studying this module involves the following: This module is a first introduction at postgraduate level into the technology and applications of digital signal processing. It examines how different processor architectures have been optimised for different applications. The theory of digital filters is illustrated by interactive examples. Case studies and a design exercise provide examples and practice in design methods for digital filter design.

Who can benefit? The module is likely to be of interest to design engineers, audio engineers, programmers and everyone wanting to know more about the theory behind digital signal processing. It can be studied on its own or as part of a programme leading to a formal qualification. Aims The aims of the module are: - to provide detailed knowledge of a typical DSP device - to develop techniques to critically assess the current range of DSP devices and architectures - to generate a range of experiences using digital filters, parametric and adaptive signal processing techniques. Indicative Syllabus Content

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7. INDICATIVE SYLLABUS CONTENT – the topics you may encounter on this module include: Introduction to digital signal processing Sampling theory, frequency domain representation, example of recursive equations and filters, effect of aliasing. Digital signal processors devices Architecture types, fast processing methods, fixed point and floating point, examples. Digital filters Discrete signals, order of filters, digital filter coefficients, recursive and non-recursive filters, order and coefficients of a recursive digital filter, stability, transfer function. Finite impulse response (FIR) filter design Specifying a FIR filter, choice of window function and filter order, FIR filter design by the window method. Z-transform Definition, calculating the frequency and phase response, determining the location of zeros, dealing with poles and zeros, stability considerations, table of z-transforms. Digital signal processing design - case studies A typical case study example would be: filter design by the frequency sampling method - implementation and advantages of this approach. Parametric approach to digital signal processing The use of filter parameters for the representation of signals, optimum signal estimation: the Wiener filter, the matched filter and signal detection. Linear Prediction Analysis The all pole model, identification of the model, autocorrelation and covariance methods, applications of linear prediction in speech analysis. Spectral Estimation Based on FFT and Parametric Methods Derivation of the discrete Fourier transform (DFT), Matrix formulation of DFT, example 8-point DFT, the concept of fast Fourier transform (FFT), Radix 2 and Radix 4 implementations, modern spectral analysis: parametric methods, the autoregressive model. FPGAs and alternative digital signal processing devices Digital signal processing functions of an FPGA, The multiply and accumulate (MAC) operation, sum of products using parallel adders and using serial adders, application examples. 8. LEARNING, TEACHING AND ASSESSMENT – this module is delivered and assessed in the following ways: Typically the generality of a concept is introduced in the online text and the student is then directed to a variety of information sources to research and analyse the subject area further, reflect and draw appropriate conclusions. Self-assessment questions (SAQs) throughout the module reinforce the concepts and help students to monitor their progress and the effectiveness of their study.

ECTS worload

Lectures 40 hoursComputer-based exercises 60 hoursDiscussion /review /tutorial 30 hoursCoursework 2 x 40 hoursDirected reading 30 hoursTotal: 240 hours

92



1 be able to specify a DSP processor architecture and characteristics to suit a particular application.

specify an appropriate device to satisfy a given requirement and select an appropriate device from the range currently available.

2 be able to design filters, including optimum and adaptive filters, using DSP techniques

identify the requirements and then choose the appropriate design method and filter type for a stated application.

3 be able to design and implement a digital signal processing task on an appropriate platform.

design and implement a digital signal processing task.

4 be able to propose solutions for spectral estimation based on FFT and parametric methods

propose a solution for a given set of conditions

10: ASSESSMENT ITEMS – your achievement of the learning outcomes for this module will be tested as follows: ASSESSMENT ITEM NUMBER 1 2Type CW/PRA CW/PRADescription 30 70LEARNING OUTCOMES – put X in column to show how Learning Outcome assessed 1 X 2 X 3 X4

X Each assessment item in the module to be entered separately Type: AO - Attendance only Cw - Coursework EX - Examination ICA - In-class Assignment PRA - Practical work PRE - Presentation IS - Independent Study, dissertation or project Description – Text description of type of assessment. For example: Cw - Essay of 2,000 words EX - Open Book examination IS - Dissertation, 10,000 words Percentage of Mark - Percentage weighting for each item of assessment

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1. (Huang, H), MC68HC11 An Introduction to Software and Hardware Interfacing, West Publishing Co., 1996, ISBN 0-314-06735-3.

2. (Jervis, B) Digital Signal Processing, A Practical Approach, Prentice Hall, 2001, ISBN 0201596199 3.

(Grant, P et al) Analogue and Digital Signal Processing and Coding, Chartwell-Bratt., 1989, ISBN 0862382068

4. (Lynn, P) An Introduction to the Analysis and Processing of Signals, Macmillan Education Ltd, 1989, ISBN 0333488873.

5. (Proakis and Manolakis), Digital Signal Processing, Macmillan Pub. Comp., N.Y., 1996, ISBN 0133942899

6. (Deller, Proakis and Hansen) Discrete-Time Processing of Speech Signals, Macmillan Pub. Comp., N.Y., 2001, ISBN 0780353862

7. (Lyons R) Understanding Digital Signal Processing 2004 Prentice Hall

8. (Mulgrew Grant & Thompson) Digital Signal Processing: Concepts and Applications 2002 Pub: Palgrave Macmillan

9. (Jervis, B. W), Digital Signal Processing, A Practical Approach, Prentice Hall, 2001

10. (Smith S) Digital Signal Processing: A Practical Guide for Engineers and Scientists Newnes 2002

11. MATLAB and Simulink Student Version Release 2007 Mathworks

Texas Instruments website: http://www.ti.com


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