SIT772 Database and Information Retrieval Unit Guide ... … · SIT772 Database and Information Retrieval Unit Guide Trimester 1, 2017 This unit guide is applicable for the year and

SIT772 Database and Information RetrievalUnit Guide

Trimester 1, 2017

This unit guide is applicable for the year and teaching period specified above only.

WelcomeWelcome to a new trimester and to SIT772 – Database and Information Retrieval. This unit forms part of the Master of Information Technology (MIT) and the postgraduate Analytics courses; and is a foundation unit for students who have no prior IT experience. This unit introduces two important techniques that power the digital economy today – the database system and the information retrieval system. Without databases, we do not have Web 2.0 applications such as Facebook or YouTube; and we do not even have online services such as Internet Booking or Internet Banking. Databases are such an integral part of our lives now that we probably take them for granted. With the increasing need of databases to operate almost every business and personal application efficiently and effectively, the need for IT professionals with sound knowledge of designing and maintaining a database is high. If you do check the job websites in Australia (or anywhere in fact), I am certain that you will find positions that list database knowledge as an essential selection criterion. Secondly, we will develop the understanding of information retrieval: the process of indexing and retrieving text documents. However, the field of Information Retrieval refers to almost any type of unstructured or semi-structured data. Information Retrieval is a critical aspect of Web search engines. We will provide students as well with an understanding for how search engines work, why they are successful, and to some degree how they fail. As a postgraduate unit, the classes and practicals are highly condensed, where only important points are covered and the further reading is expected from the students. Therefore, a great deal of responsibility is placed on the students to manage their own learning not only in this unit, but in every unit of the MIT course. The key to a good start is to read this guide carefully as it explains the structure, content, assessment, and rules associated with this unit. Once you have understood the unit’s expectations, you should work out a learning schedule in conjunction with the materials provided on FutureLearn. FutureLearn is the focal point for learning in this unit. You should familiarise yourself with the facilities provided on FutureLearn and the way materials are organised for SIT772. Not only do we add materials throughout the trimester, but announcements and the administration of assignments will be conducted through FutureLearn, so you will need to check it regularly. I strongly suggest that you use the information provided in this guide and on FutureLearn to prepare yourself for the expectations of this unit. A little preparation and planning will help you get the most out of this unit. Finally, on behalf of the SIT772 team, I wish you all the best and enjoy your study! Dr Tianqing Zhu

This Unit Guide provides you with the key information about this Unit. For the best chance of success, you should read it very carefully and refer to it frequently throughout the trimester. Your Unit site (inside DeakinSync) also provides information about your rights and responsibilities. We will assume you have read this before the Unit commences, and we expect you to refer to it throughout the trimester.

About this UnitThe unit will cover two important foundational but related methods for capturing, representing, storing, organising, and retrieving structured, unstructured or loosely structured information. Firstly, the unit will focus on the fundamentals of data modelling and database technology. The relational data model will be investigated and the process of constructing database tables and related entities will be explored in depth. The second focus of the unit is information retrieval: the process of indexing and retrieving text documents. As a critical aspect of Web search engines, the field of Information Retrieval includes almost any type of unstructured or semi-structured data. Students will explore how search engines work, why they are successful, and to some degree how they fail.

Unit development in response to student feedbackEvery trimester, we ask students to tell us, through eVALUate, what helped and hindered their learning in each Unit. You are strongly encouraged to provide constructive feedback for this Unit when eVALUate opens (you will be emailed a link).In previous versions of this unit, students have told us that these aspects of the Unit have helped them to achieve the learning outcomes:

• Relevant unit content which is useful and important for professionals working with data

• Posting and commenting on the brief about SQL and Information Retrieval

• The database theory and cosine

• Relevant learning materials

• Very responsive and helpful Unit Chair/Educator

They have also made suggestions for improvement, and so this is what we have done:

• We have made significant changes to the practicals to fit in with the weekly classes and we have adjusted the content on the SQL

If you have any concerns about the Unit during the trimester, please contact the unit teaching team - preferably early in the trimester - so we can discuss your concerns, and make adjustments, if appropriate.

Who is the Unit team?Unit Chair and Lead Educator: leads the teaching team and is responsible for overall delivery of this unit.

Unit Chair and Lead Educator Tianqing Zhu

School School of Information Technology Faculty of Science, Engineering and Built Environment

Campus Melbourne Burwood Campus221 Burwood HighwayBURWOOD VIC 3125

Phone +61 3 924 43074

Email [email protected]

Other members of the team and how to contact them

Throughout the unit you can post comments and questions. You are encouraged to do this including helping other students. You may want to contact the Unit Chair/Lead Educator if you have any questions about the unit and especially if you need some assistance.

Your course and Deakin’s Graduate Learning Outcomes (GLOs)

GLO1 Discipline knowledge and capabilities: appropriate to the level of study related to a discipline or profession

GLO2 Communication: using oral, written and interpersonal communication to inform, motivate and effect change

GLO3 Digital literacy: using technologies to find, use and disseminate information

GLO4 Critical thinking: evaluating information using critical and analytical thinking and judgment

GLO5 Problem solving: creating solutions to authentic (real world and ill-defined) problems

GLO6 Self-management: working and learning independently, and taking responsibility for personal

GLO7 Teamwork: working and learning with others from different disciplines and backgrounds

GLO8 Global citizenship: engaging ethically and productively in the professional context and with diverse communities and cultures in a global context

Each Deakin course has Course Learning Outcomes which explain what the Deakin Learning Outcomes mean in your discipline. Learning in each unit builds towards the course learning outcomes.

Your Unit Learning Outcomes (ULOs)Each Unit in your course is a building block towards these Graduate Learning Outcomes - not all Units developand assess every Graduate Learning Outcome (GLO).

These are the Learning Outcomes (ULO) for this Unit At the completion of this Unit, successful students can:

Deakin Graduate Learning Outcomes

ULO 1 Explain the difference between data and information and the difference between a traditional multiple- file system and a database.

GLO1: Discipline-specific knowledge and capabilities

ULO2 Apply the concept of data modelling and use Entity-Relationship (ER) models to represent/ data.


ULO3 Design and implement relational database systems through the use of SQL.

GLO1: Discipline-specific knowledge and capabilitiesGLO4: Critical thinking

ULO4 Compare the difference between information retrieval technologies and justify the use of a particular one over another for a given scenario.


ULO5 Demonstrate data retrieval skills in the context of a data processing system.


Assessing your achievement of the Unit learning outcomes

OverviewIn brief, these are the assessment tasks for this Unit (details below):Report 30%, problem solving task 30%, examination 40%

Summative assessments(tasks that will be graded or marked)NOTE: It is your responsibility to keep a backup copy of every written assignment. In the unusual event that one of your assignments is misplaced, you will need to submit the backup copy. Any work you submit may be checked by electronic or other means for the purposes of detecting collusion and/or plagiarism.

Database Design and Implementation Report

Brief description of assessment task

This task requires students to apply their understanding and ability to use RDBMS (relational database system models) as well as use SQL in the modelling of the physical world. Students will be provided with a set of business scenarios and are required to design a database and provide related SQL commands.

Detail of student output This is an individual assessment task. Students are required to submit a written report that describes the design and implementation of a small database project. Students are also required to submit the associated SQL scripts.

Grading and weighting (% total mark for unit)

30%. This assignment will be marked.- 20% written report- 10% SQL script

This task assesses your achievement of these Unit Learning Outcome(s)

ULO2: Explain the concept of data modelling and use Entity-Relationship (ER) models to represent/data.ULO3: Design and implement relational database systems through the use of SQL

This task assesses your achievement of these Graduate Learning Outcome(s)

GLO1: through student ability to apply ER modelling to an authentic business rule and ability to design a relational database system using SQL.GLO4: through student ability to analyse the requirements for a relational database.

How and when you will receive feedback on your work

Students are encouraged to contact their Unit Chair/Educator to clarify any areas of difficulty.

When and how to submit your work

Students are required to submit their report online via the FutureLearn platform by5:00 pm, Monday 1 May 2017.

Summative assessment task 1

Information Retrieval Techniques Problem Solving Task


This task evaluates the student’s technical skills in the management of unstructured data, with potential usage in real applications.This assessment supports student understandings of the techniques related to unstructured data management and data processing.

Detail of student output This is an individual assessment task. Students are required to submit written answers to a number of Information Retrieval problem scenarios.


30%. This assignment will be marked.


ULO5: Demonstrate data retrieval skills in the context of a data processing system.


GLO1: through student ability to apply their data retrieval skills to evaluate and plot retrieval results from the retrieval technologies.


Students are encouraged to work through the series of formative tasks to consolidate their understanding in this unit. Students will also receive access to practice questions and are advised to access their teaching staff via the fortnightly online seminars.


Students are required to submit their work online via the FutureLearn platform by5:00 pm Monday, 29 May 2017


Examination


All contents presented in the unit are examinable. This task will evaluate your understanding of both structured and unstructured data management techniques, as well as problem solving skills in the area.

Detail of student output Written assessment. The examination will be marked


40%


ULO1: Explain the difference between data and information and the difference between a traditional multiple- file system and a database.ULO2: Explain the concept of data modelling and use Entity-Relationship (ER) models to represent data.ULO3: Design and implement relational database systems through the use of SQL.ULO4: Compare the difference between information retrieval technologies and justify the use of a particular one over another for a given scenario.ULO5: Demonstrate data retrieval skills in the context of a data processing system.


GLO1: through student ability to demonstrate knowledge of data, information, multiple file systems, databases and the differences between information retrieval technologies.GLO4: through student ability to demonstrate application of ER modelling and data retrieval techniques in a range of problem scenarios.


Students are advised to complete the series of tests available throughout this unit in order to identify gaps and consolidate their understanding of concepts. Towards the end of trimester, the Unit Chair/Educator will also provide a review on the contents examinable in this unit. Students are encouraged to use the ‘student discussion areas’ to discuss and clarify their thinking.


Students are required to attend a supervised examination during the end of trimester examination period. Check your personal timetable via StudentConnect in DeakinSync, it’s the only place that shows your personal exam dates, times and locations. Exam timetable release dates are provided in the Deakin University Handbook each year and are published 6 weeks before the exam period.


Fortnightly Quizzes x 5


Fortnightly quizzes provide students with the opportunity to self-assess their learning and progress towards the Unit Learning Outcomes. Students are encouraged to complete the 5 x Multiple Choice quizzes provided at the end of every two weeks of study. All questions are discipline specific, and require students to be familiar with the unit material and apply that in solving problems in a variety of scenarios.

Detail of student output Choose the best answer from multiple answers (MCQ) for a range of questions related to the unit content.


This is a formative assessment task and therefore there are no marks associated with the completion of these quizzes.


ULO1: Explain the difference between data and information and the difference between a traditional multiple- file system and a database. ULO2: Apply the concept of data modelling and use Entity-Relationship (ER) models to represent data.ULO3: Design and implement relational database systems through the use of SQL.ULO4: Compare the difference between information retrieval technologies and justify the use of a particular one over another for a given scenario.ULO5: Demonstrate data retrieval skills in the context of a data processing system


Students will be given the opportunity to check their learning as they progress in this unit by undertaking a series of formative assessment quizzes. Each Quiz will provide immediate feedback. Students are advised to use this feedback to identify gaps in their understanding and set goals for filling those gaps prior to the end of unit exam.


Quizzes to be completed online on the FutureLearn platform, at the end of Week 2, Week 4, Week 6, Week 8 and Week 10.

Formative assessment task 1

Formative assessment (for practice and feedback rather than marks and grades)In addition to the above, you will have a better chance of success in this Unit if you complete these tasks – you will get valuable experience and feedback.

Practical task Quizzes x 9


Practical quizzes are designed for students to self-assess their awareness of technical skills in the management of unstructured data, with potential usage in real applications. Students are required to complete the practical tasks in weeks 2 through 10, complete associated Multiple choice quizzes and repeat tasks as often as needed after checking their understanding.

Detail of student output Choose the best answer from multiple answers (MCQ) for a range of questions related to the weekly practical tasks.


This is a formative assessment task and therefore there are no marks associated with the completion of these quizzes.


ULO2: Apply the concept of data modelling and use Entity-Relationship (ER) models to represent data.ULO3: Design and implement relational database systems through the use of SQL.ULO5: Demonstrate data retrieval skills in the context of a data processing system.


Students will be given the opportunity to check their learning as they progress in this unit by undertaking a series of formative assessment quizzes associated with each practical task. Each Quiz will provide immediate feedback. Students are advised to use this feedback to identify gaps in their understanding and set goals for filling those gaps prior to the end of unit exam.


Quizzes to be completed online on the FutureLearn platform, at the end of Weeks 2,3,4,5,6,7,8,9 and 10.

Formative assessment task 2

Your learning experiences in this Unit - and your expected commitmentTo be successful in this unit, you must:

• Read all materials in preparation for your classes or seminars, and follow up each with further study and research on the topic;

• Start your assessment tasks well ahead of the due date;

• Read or listen to all feedback carefully, and use it in your future work;

• Attend and engage in all timetabled learning experiences.

Contact HoursCampus: Students are required to engage in online learning for approximately 3 hours per week over 10 weeks. Additionally, there will be 1 x 1 hour scheduled online seminar per fortnight, and 1 x 2-hour face-to-face workshop each week to provide students feedback and support for their learning.

Cloud (online): Students are required to engage in online learning for approximately 3 hours per week over 10 weeks. Additionally, there will be 1 x 1 hour scheduled online seminar per fortnight to provide students feedback and support for their learning. Specific workshops or equivalent online support will be determined based on the progress and support needs of students enrolled online

Students will on average spend 150 hours studying this unit. This includes engaging in online learning activities, assessment activities, readings and study time. Students are expected to complete all allocated learning and assessment tasks for each week and actively engage in discussions with other students and their teaching staff. Additionally, the unit also provides synchronous online seminars on a fortnightly basis for all students to ensure that their individual learning needs are supported. Campus students will have the opportunity to attend weekly workshops held on campus to practice, explore and expand their knowledge and skills. Collectively these learning experiences are designed to ensure and support student success.

Note

At Deakin,

• Lectures are referred to as classes (definition: a general meeting for all students, for which students do not need to register and where students are engaged through presentations and learning activities)

• Tutorials, workshops and seminars are referred to as seminars (definition: more interactive meetings for smaller groups of students).

• For the complete list of agreed definitions for learning experiences, see the Course Design and Delivery Procedure (https://policy.deakin.edu.au/view.current.php?id=00127)

Unit Learning ResourcesYour unit learning resources are available online.

Essential learning resourcesThere is no prescribed textbook for this unit.

Recommended learning resourcesThe recommended textbook for the database part of this unit is:

• CARLOS CORONEL, STEVEN MORRIS, Database Systems: Design, Implementation, and Management, 12th edition, Cengage Learning.

Other reference textbooks include:

• Thomas Connolly, Carolyn Begg, Database Systems: A practical approach to Design, Implementation, and Manage-ment, 5th edition, Pearson.

• Ricardo Baeza-Yates, Berthier Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley.

Textbooks, reference books, general books and software may be available from the Deakin Library and some may be available from the bookshop: phone 1800 686 681 (freecall within Australia);

• email to [email protected]; or

• order online from the University bookshop web site at http://www.dusabookshop.com.au/

Key dates for this trimester

Trimester 1 begins (classes begin) Monday 6 March 2017

Intra-trimester break (a short break during trimester) Monday 10 -Tuesday 18 April 2017

Trimester ends (classes cease) Friday 26 May 2017

Study period (examination preparation period) Saturday 27 May - Sunday 4 June 2017

Examinations begin Monday 5 June 2017

Examinations end Friday 16 June 2017

Inter-trimester break (the period between trimesters) Monday 19 June - Friday 7 July 2017

Unit results released Thursday 6 July 2017, 6pm

^ Easter vacation/intra-trimester break: Monday 10 April - Tuesday 18 April 2017 inclusive (between weeks 5 and 6)*ANZAC Day observed, Tuesday 25 April - University closed

8-10 hrs pw6 Mar 2 Weeks

SIT772.1: DATA, INFORMATION AND DATABASES

Discovering the art of data, information and its management.

20 Mar 2 Weeks 8-10 hrs pw

SIT772.2: DATA MODELLING

Explore data modelling and Entity-Relationship (ER) models.

3 Apr 3 Weeks 8-10 hrs pw

SIT772.3 STRUCTURED QUERY LANGUAGE

Designing and implementing relational database systems with SQL.

24 Apr 2 Weeks 8-10 hrs pw

SIT772.4: INFORMATION RETRIEVAL – BOOLEAN MODEL

Investigate the use of information retrieval technologies.

10 Apr – BREAK

Learning Activities This unit is delivered through five FutureLearn courses.

8 May 2 Weeks 8-10 hrs pw

SIT772.5: INFORMATION RETRIEVAL – VECTOR MODEL

Demonstrate data retrieval skills with a data processing system.

27 May – STUDY PERIOD

5 Jun – 17 Jun EXAM PERIOD

29 May – ASSIGNMENT 2 DUE

1 May – ASSIGNMENT 1 DUE

SIT772 Database and Information Retrieval Unit Guide ... … · SIT772 Database and Information Retrieval Unit Guide Trimester 1, 2017 This unit guide is applicable for the year and

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