20162017_FSTPi_BWQ_eng.pdf - UTHM

Information contained in this proforma is true at the time of printing and the University has the right to make any ammendment according to needs. All rights reserved. No part of this proforma may be reproduced in any form or by any means, electronic, photocopying, recording, visual, or otherwise, without prior written permission of the Vice Chancellor of Universiti Tun Hussein Onn Malaysia. Centre for Academic Development and Training Universiti Tun Hussein Onn Malaysia

August 2016

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Contents Foreword from the Vice Chancellor 1 Foreword from the Deputy Vice Chancellor (Academic and International) 2 Foreword from the Dean 3 University Vision 4 University Mission 4 University Education Philosophy 4 University Logo 4 Chancellor 5 Pro Chancellor I 5 Pro Chancellor II 5 University Board of Directors 6 University Senate Members 7 Faculty of Faculty of Science, Technology and Human Development 9 Faculty Vision 9 Faculty Mission 9 Faculty Adjunct Professors 10 Faculty Visiting Professors 10 Faculty External Examiners 10 Faculty Industrial Advisors 10 Faculty Staff Directory 11 Programme Aims 22 Programme Educational Objectives (PEO) 22 Programme Learning Outcomes (PLO) 23 Curriculum Structure 24 Synopsis of the University Courses 27 Synopsis of the Faculty Courses 36 Career & Further Education Prospect 57

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Foreword from the Vice Chancellor Assalammualaikum Warahmatullahi Wabarakatuh and Warm Grettings Our utmost gratitude to Allah the Almighty, I am able to share and pen down a couple of words and advices to readers of this proforma especially to new students of Universiti Tun Hussein Onn Malaysia (UTHM) whom had just enrolled in this 2016/2017 Academic Session. Congratulations and welcome to the new students and thank you for believing in UTHM for your continuing endeavour in the search of knowledge towards the success in your future career and life betterment. For your information, University leadership continues to strive in the search of, designing, and adapting the effective and efficient approaches that would able to produce the highest impact towards making UTHM a top Higher Education Institution. The success in obtaining “QS STARS RATED FOR EXCELLENCE 2015” and UTHM was recognized as the Top 300 in the QS World University Ranking by Subject 2015 for Mechanical, Aeronautical and Manufacturing Engineering, have proven that UTHM continues creating excellence. These successes have convinced the University that these are due to the alignment of University's vision and mission which are continually strengthen and improve. As the Vice Chancellor, I gave full confidence that UTHM is currently on the right track in the effort towards the success of the 10 Shifts identified in the Malaysia Education Blueprint (Higher Education). Based on the details outlined in the Malaysia Education Blueprint (Higher Education), UTHM is committed in producing human capital and disseminating knowledge to meet the needs of the industry and the community as well as to nurture creative and innovative human capital. Last but not least, I believe that you will become graduates of the University that will successfully continue the University excellence tradition. When you graduated, you will become the member of society that will not only be able to apply the knowledge gained but also be able to contribute service and expertise for the importance and the needs of Religion, Race and Nation. "WITH WISDOM WE EXPLORE" PROFESSOR DATUK DR. MOHD. NOH BIN DALIMIN Vice-Chancellor Universiti Tun Hussein Onn Malaysia

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Foreword from the Deputy of Vice Chancellor (Academic and International)

Assalammualaikum Warahmatullahi Wabarakatuh and Warm Greetings I would like to take this opportunity to express the utmost congratulations and well done to you as the new students whom have been successfully been selected to pursue studies at Universiti Tun Hussein Onn Malaysia for this 2016/2017 session. I would also like to congratulate Centre for Academic Development and Training that has successfully produced the proforma which will be used as a guide for students in planning the studies beginning from the first semester until the end of the studies at this University. Detailed planning which is effectively implemented at every semester as well as early preparation of students before attending lectures is very important in ensuring the readiness of learning process. Apart from that, the preparation for co-curriculum program also is important in shaping the personality and social development of students. I hope that the publication of this proforma can be fully utilized by you in planning your studies at the University and you are capable of obtaining the best results as well as attaining excellent success. Last but not least, I would like to wish All the Best and I pray that you will achieve excellent success in your studies at the University and thus can contribute as the human capital towards religion, race and Nation development. Thank you. PROFESSOR DR. WAHID BIN RAZZALY Deputy of Vice Chancellor (Academic and International) Universiti Tun Hussein Onn Malaysia

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Foreword from the Dean of Faculty of Science, Technology and Human Development Assalamualaikum Warahmatullahi Wabarakatuh and Greetings Welcome and congratulations to all new students who have been selected to join Faculty of Science, Technology and Human Development (FSTPi) for the 2016/17 Academic year. Faculty of Science, Technology and Human Development welcomes your presence here to continue your studies at Universiti Tun Hussein Onn Malaysia, the institution that aims to provide academic programmes of high quality that are based on science and technology to fulfill customers’ expectations through excellent organisational management and continuous improvement. As the country’s important human capital, you will be guided by professionals and lecturers to become competent and credible scientists and technologists. In line with the requirements by the country and industry, the learning process that you will go through emphasizes on the understanding and mastering of the core field, apart from building up competency that focuses in Mathematics Technology, Industrial Statistics, Applied Physics, Food Technology or Biodiversity & Conservation. Certainly, if you are committed to learning and smart in making the most of our staff’s expertise, equipment and facilities provided, without a doubt you can succeed. As future professionals, you must be well aware of the aim and objectives of a task including the learning process. In addition to that, you must also lay out a plan so that the objectives can be achieved efficiently and effectively. Obviously, an outstanding attainment is only possible through high commitment. Finally, on behalf of Faculty of Science, Technology and Human Development, I wish you every success and make full use of the existing opportunities to absorb knowledge and become graduates with knowledge, positive image and competitiveness in fulfilling the challenge in the future and during the learning process in Universiti Tun Hussein Onn Malaysia. Best wishes! Thank you. ASSOCIATE PROFESSOR DR. MOHD KAMARULZAKI BIN MUSTAFA Acting Dean Faculty of Science, Technology and Human Development Universiti Tun Hussein Onn Malaysia

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University Vision Towards a world class university in engineering, science and technology for sustainable

development University Mission UTHM is committed to generate and disseminate knowledge, to meet the needs of industry

and community and nurturing creative and innovative human capital, based on tauhidic paradigm

University Education Philosophy The education and training in this university is a continuous effort to lead in the market

oriented academic programmes. These programmes are student-focused and are conducted through experiential learning in order to produce well trained human resource

and professionals who are catalysts for a sustainable development University Logo

The logo of Universiti Tun Hussein Onn Malaysia (UTHM) is the pride, identity and idealism of the members of UTHM community. UTHM logo displays a Proton, Book, Tiered Mortar Board, Book Rest and Shield. The whole concept of the logo symbolises UTHM as an Institution of Higher Learning which supports the growth and development of knowledge at all levels in fields of Science and Technology. Blue represents a close-knit circle of members of UTHM community which ensures the success and enhancement of its educational and research programmes and activities for the benefits of mankind. Red symbolises the courage of UTHM in the exploration of new fields as the pioneer in science and technology applications, which reflects the spirit and self-esteem of the members of UTHM community. Symbolism: Red Courage Blue Co-operation/Loyalty Silver Quality/Prestige Book Rest Repository of knowledge Proton Science and technology Book Knowledge Mortar board Levels of study Shield Confidence

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Chancellor Duli Yang Maha Mulia Sultan Ibrahim Ibni Almarhum Sultan Iskandar Sultan of Johor D.K., D.K. (Pahang), SPMJ, SSIJ, S.M.N., S.P.M.T., S.M.P.K., P.I.S. Pro-Chancellor I Duli Yang Amat Mulia Tunku Ismail Ibni Sultan Ibrahim Tunku Mahkota of Johor D.K., SPMJ, P.I.S Pro-Chancellor II YBhg. Tan Sri Dr. Ali Hamsa Chief Secretary to the Government of Malaysia

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University Board of Directors Chairman Tan Sri (Dr.) Ir. Jamilus bin Md Hussin Pengerusi Lembaga Pembangunan Industri Pembinaan (CIDB Malaysia), Pengerusi KLIA Premier Holdings Members Professor Datuk Dr. Mohd. Noh bin Dalimin Vice Chancellor Universiti Tun Hussein Onn Malaysia Tan Sri Dato' Sri Sufri bin Hj Mohd Zin Group Managing Director TRC Synergy Berhad Associate Professor Dr. Arham bin Abdullah Director Industrial Relation Division Ministry of Higher Education Malaysia Datuk Dr. Pang Chau Leong Department of Skills Development Ministry of Human Resources Datuk Hj. Mohlis bin Jaafar Head of Director Department of Polythechnic Education Ministry of Higher Education Malaysia Dato' Zainal Abidin bin Mat Nor Deputy Secretary of Public Asset Management Division Ministry of Finance Datuk Mat Noor Nawi Chairman Exim Bank Berhad Puan Mazula binti Sabudin Director Student Entry Management Division Ministry of Higher Education Malaysia Secretary Encik Abdul Halim bin Abdul Rahman Registrar Universiti Tun Hussein Onn Malaysia

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Senate Members Chairman Professor Datuk Dr. Mohd. Noh bin Dalimin Vice-Chancellor Members Professor Dr. Wahid bin Razzaly Deputy Vice-Chancellor (Academic and International) Professor Dr. Hashim bin Saim Deputy Vice-Chancellor (Research and Innovation) Assiciate Professor Dr. Asri bin SelamatProfessor Ir. Dr. Amir Hashim bin Mohd Deputy Vice-Chancellor (Student Affairs and Alumni) Professor Dr. Ahmad Tarmizi bin Abd. Karim Assistant Vice-Chancellor (Development, Management Facility and ICT) Profesor Dato' Dr. Abdul Razak bin Hj. Omar Assistant Vice-Chancellor (Community and Industrial Relations) Professor Dr. Hj. Ismail bin Abdul Rahman Dean Centre for Graduate Studies Associate Professor Dr. Abd Halid bin Abdullah Dean Faculty of Civil and Environmental Engineering Dr. Afandi bin Ahmad Dean Faculty of Electrical and Electronic Engineering Associate Professor Dr Shahruddin bin Mahzan @ Mohd Zin Dean Faculty of Mechanical and Manufacturing Engineering Dr. Mohd Lizam bin Mohd Diah Dean Faculty of Technology Management and Business Associate Professor Dr. Ahmad bin Esa Dean Faculty of Technical and Vocational Education Associate Professor Dr. Nazri bin Mohd Nawi Dean Faculty of Computer Science and Information Technology Associate Professor Dr. Mohd Kamarulzaki bin Mustafa Acting Dean Faculty of Science, Technology and Human Development Associate Professor Dr. Ishak bin Baba Dean Faculty of Engineering Technology Associate Professor Dr. Mohamad Zaky Bin Noh Dean Centre for Diploma Studies

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Associate Professor Dr. Azme bin Khamis Dean Center for Academic Development and Training Professor Dr. Rosman bin Md. Yusoff Dean Centre for General Studies and Co-Curricular Director Institute for Social Transformation and Regional Development Madam Robijah binti Kamarulzaman Dean Centre for Language Studies Professor Dr. Rosziati binti Ibrahim Dean Research and Development Centre Professor Dr. Sulaiman bin Hj Hassan Faculty of Mechanical and Manufacturing Engineering Professor Dr. Yusri bin Yusof Director of International office/Faculty of Mechanical and Manufacturing Engineering Professor Dr. Maizam binti Alias Faculty of Technical and Vocational Education Professor Dr. Jailani bin Md. Yunos Faculty of Technical and Vocational Education Professor Dr. Hj. Mustafa bin Mat Deris Faculty of Computer Science and Information Technology Professor Dr. Rosziati binti Ibrahim Faculty of Computer Science and Information Technology Professor Datin Dr. Maryati binti Mohamed Faculty of Science, Technology and Human Development Mr. Abdul Halim bin Abdul Rahman Secretary/Registrar Mdm. Azizah binti Nasri Bursary (Acting) Mr. Haji Bharun Narosid bin Mat Zin Chief Librarian

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Faculty of Science, Technology and Human Development Faculty Vision

Aspires to pioneer the application of science and technology for universal prosperity Faculty Mission

To produce and train competitive professionals and technologists of high ethical values in the global arena through holistic academic programmes, knowledge and research culture, based on the concept

of Tauhid Faculty of Science, Technology and Human Development (FSTPi) has been established on 1st February 2011. This faculty which comprises of 4 departments is a unique, mutidisciplinary faculty. FSTPi has started with four academic programs in 2012/13 session and one new program launched in 2014/15. The three departments namely Mathematics & Statistics, Technology & Heritage and Science are dedicated for the five academic programs. The other department namely Islamic Studies & Social Science is focusing on servicing the whole university for the general studies courses. This faculty has colaborations with the Forest Research Institute of Malaysia (FRIM), Malaysia Agricultural Research and Development Institute (MARDI), Department of Statistics Malaysia, MARA Food Technology Incubator, Photonic Research Centre of University Malaya, Yamaguchi University, Universitas Lancang Kuning and Universiti Utara Malaysia. The graduates of this faculty can contribute their skills and knowledge in the area of Food Technology, Mathematics Technology, Industrial Statistics, Applied Physics and Biodiversity and Conservation at all governmental and none governmental organizations. The organisation chart of FSTPi, as in the diagram below

Dean

Deputy Dean (Academic & International) Deputy Dean (Research, Development & Publication)) Deputy Dean (General Studies)

Head, Dept. of Science

Head, Dept.of Mathematics &Statistics Head, Dept. of Islamic Studies & Social Science

Head, Dept. of Technology & Heritage

SeniorAssistant Registrar

Assistant Administrative Officer (Academic)

Mathematics Lab 1 Mathematics Lab 2 Mathematics Lab 3

Mechanics and Vibrations Lab Electronics and Optoelectronics Lab

Material and Modern Physics Lab Chemistry Lab Statistics Lab

Galeri Ilmu

Academic Unit Administration Unit

Study Leave Unit

Finance & Asset Unit

Assistant Administrative Officer (Administration & Finance)

Centre Of Research CERCOM

SUNR

Food Analysis & Instrumentation Lab

Food Microbiology Lab Nutrition & Food Sensory Lab

Head, Dept. of Students Affairs and Alumni

Botany Lab Zoology Lab

Ethno -pharmacology Lab Entomology Lab

Food Technology &Processing Lab

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Faculty Adjunct Professor(s) Dato’ Dr Abd Latif bin Mohmod Forest Research Institute Malaysia Faculty Visiting Professor(s) Professor Dr Alexei Nabok Material and Engineering Reseach Institute (MERI) City Campus, Sheffield Hallam University, UK Professor Dr Mustafa bin Mamat Dean of Graduate School University Sultan Zainal Abidin (UNiSZA) Professor Dr Russly Abdul Rahman University Putra Malaysia (UPM) Professor Dr Amran Ahmed Universiti Malaysia Perlis (UNiMAP) Professor Dr Sharifudin bin Md Shaarani University Malaysia Sabah Associate Professor Dr Wan Ahmad Kamil bin Wan Abdullah University Science of Malaysia Faculty External Examiner(s) Professor Dr Abdul Aziz bin Jemain National University of Malysia (UKM) Associate Professor Mohamad Khatim bin Hassan National University of Malysia (UKM) Profesor Dr Zainuriah binti Hassan University Science Malaysia Professor Dr Hasanah binti Mohd Ghazali Universiti Putra Malaysia (UPM) Faculty Industrial Advisor(s) Dr Zamros Dzulkifli Maybank Dr Nooreha Hussain AUFA Intelligence Sdn. Bhd. En Iskhandar bin Md Nasir MIMOS Bhd.

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Faculty Staff Directory Administration Acting Dean Associate Professor Dr. Mohd Kamarulzaki bin Mustafa Ph.D (Biophysics) (Univ. Sheffield, UK), MSc. (Physics Optic) (UTM), BSc. (Physics Instrumentation) (UTM) Deputy Dean (Research, Development and Publication) Associate Professor Dr. Mohd Kamarulzaki bin Mustafa Ph.D (Biophysics) (Univ. Sheffield, UK), MSc. (Physics Optic) (UTM), BSc. (Physics Instrumentation) (UTM) Deputy Dean (Academic and International) Dr. Hatijah Binti Basri Ph.D (Chemical Engineering) (UTM), MSc. (Chemistry) (UTM), BSc. (UTM) Head, Dept. of Students Affairs and Alumni Dr. Balkis binti Hj. A. Talip Ph.D (Molecular Biology for Microbes) (University of Ulster, Northern Ireland, UK), MSc. (Virology) (UPM), BSc. Hons. (Microbiology) (UPM) Office Secretary Pn. Janah binti Jasman Dip. (Executive Secretarial) (ITM Pahang) Office Secretary Pn. Azean binti Misiran Dip. (Secretarial Science) (UiTM) Senior Assistant Registrar En. Ezuan bin Jamil B.A. Hons (Bussiness Adminitration) (UPM) Administrative Officer Assistant (Administration and Finance) En Khairi bin Mohd Diploma Administrative Officer Assistant (Academic and Graduate Studies) Pn. Norida binti Kassim Diploma Senior Administrative Assistant (Administration and Finance) Pn. Rogayah binti Mamek SPM Administrative Assistant (Administration) Pn. Azlila bte Mohammad Basri STPM Administrative Assistant (Academic and Student Affairs) Pn. Nurul Huda bte Abd Aziz Diploma

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Administrative Assistant (Academic and Student Affairs) En. Abd Razak bin Mahmood SPM Senior General Office Assistant En. Sharizal bin Mohd Said PMR

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Department of Mathematics and Statistics Head of Department Dr. Nor Shamsidah binti Amir Hamzah Ph.D (Math.Sciences) (UMT), MEdu. (Math.) (Curriculum & Instructions Math.) (Univ. Nebraska) (USA), BSc. (Math.) (Univ. Nebraska) (USA), Cert. Edu. Professor Dr. R. Kandasamy Ph.D (Appl. Math.) (Bharatiar Univ.), MSc. (Appl. Math.) (Bharatiar Univ.), BSc. (Math.) (Madras) Associate Professor Dr. Rozaini bin Roslan Ph.D (Math.) (UMS), MPhil. (Math.) (Leeds), BSc. (Math.) (UKM) Associate Professor Dr. Azme bin Khamis Ph.D (Math.) (UTM), MSc. (Statistics) (UKM), BSc. (Statistics) (UKM) Associate Professor Dr. Kavikumar Jacob Ph.D (Math.) (Annamalai Univ.), MPhil. (Math.) (Annamalai Univ.), MSc. (Math. with Comp. Application) (Annamalai Univ.), BSc. (Math.) (Manonmanian Sundarnar Univ.) Dr. Kek Sie Long Ph.D (Math.) (UTM), MSc. (Math.) (Appl. Math) (UTM), BSc. (Math.) (UKM) Dr. Phang Chang Ph.D (Math. & Stat) (Curtin, Australia), MSc. (Math.) (Appl. Math.) (UTM), BSc. & Edu. (Math./Physics) (UTM) Dr. Siti Noor Asyikin binti Mohd Razali Ph.D (Operational Research) (UUM), BSc. (Decision Science) (UUM) Dr. Hjh. Noor’ani binti Ahmad Ph.D (Math.) (UMT), MSc. Edu. (Math.) (UTM), BSc. (Math.) (UPM) Dr. Siti Suhana binti Jamaian Ph.D (Math.) (Edinburgh), MSc. (Math.) (Appl. Math.) (UTM), BSc. (Math.) (Industrial Math.) (UTM) Dr. Mohd Saifullah bin Rusiman Ph.D (Math.) (UTM), MSc. (Math.) (UTM), BSc. (Statistics) (UKM) Dr. Mahathir bin Mohamad Ph.D (Math.) (Osaka, Japan), MSc. (Math.) (Pure Math.) (UKM), BSc. (Math.) (Pure Math.) (UPM) Dr. Fazlina binti Aman Ph.D (Math.) (UKM), MSc. (Math.) (UKM), BSc. & Comp. with Edu. (Math.) (UTM) Dr. Rohayu binti Mohd Salleh Ph.D (Math) (UTM), MSc. (Applied Statistics) (UPM), BSc. (Statistics) (UiTM) Dr. Mohd Asrul Affendi bin Abdullah Ph.D (Biostatistics) (USM), MSc. (Applied Stat.) (UKM), BSc. (Decision Sc.) (UUM), Dip. (Accountancy) (Kolej Professional MARA Melaka) Dr. Choy Yaan Yee

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Ph.D (Math)(UTM), BSc. (Math.) (Industrial Math.) (UTM) Dr. Muhamad Ghazali bin Kamardan Ph.D (Mech. Eng.)(UPNM), MSc. (Math.) (UKM), BSc. (Math.) (UTM) Dr. Maria Elena binti Nor Ph.D (Statistics)(UTM), MSc. (Statistics) (USM), BSc. (Statistics) (UKM) Dr. Hamizah binti Mohd Safuan Ph.D (Math.) (The University Of New South Wales), MSc. (Math.) (Appl. Math.) (UTM), BSc. & Comp. with Edu. (Math.) (UTM) Dr. Syahira binti Mansur Ph.D (Applied Math)(UKM), MSc. (Math.) (Appl. Math.) (UTM), BSc. (Math.) (UIAM) Dr. Khuneswary a/p P. Gopal Pillay Ph.D (Statistical Modeling) (Univ of Glasgow), MSc. (Statistics) (UMS), BSc. (Statistics) (UMS) Pn. Latifah binti Md Ariffin MSc. (Theoretical Structures and Models) (UPM), BSc. (Math.) (UPM) En. Lee Siaw Chong MSc. (Math.) (Appl. Math.) (USM), BSc. (Math.) (Pure Math.) (USM) Pn. Norziha binti Che Him MSc. (Statistics) (UKM), BSc. (Statistics and IT) (UKM) En. Kamil bin Khalid MSc. (Statistics) (UKM), BSc. (Statistics) (UiTM), Dip. (Statistics) (UiTM) Pn. Azila binti Md Sudin MSc. (Math.) (Appl. Math.) (UTM), BSc. (Math.) (Industrial Math.) (UTM) Pn. Noor Azliza binti Abd Latif M.Sc. (Math.) (Appl. Math.) (UKM), BSc. (Math.) (UPM) Pn. Norhaidah binti Mohd Asrah MSc. (Statistics) (UKM), BSc. (Statistics) (UiTM), Dip. (Statistics) (UiTM) Pn. Sabariah binti Saharan MSc. (Statistics) (UKM), BSc. (Statistics) (UiTM), Dip. (Statistics) (UiTM) Pn. Radiah binti Mohamad MSc. (Math.) (Appl. Math.) (UTM), BSc. & Comp. with Edu. (Math.) (UTM) Pn. Noorzehan Fazahiyah binti Md Shab MSc. (Math.) (Appl. Math.) (UKM), BSc. (Math. with Comp. Science) (UKM) Pn. Cik Sri Mazzura binti Muhammad Basri (Study Leave) MSc. (Math.) (Appl. Math.) (UTM), BSc. & Comp. with Edu. (Math.) (UTM) Pn. Syahirbanun binti Isa (Study Leave) MSc. (Math.) (Appl. Math.) (UTM), BSc. (Math.) (Industrial Math.) (UTM) Pn. Norzuria binti Ibrahim (Study Leave) MSc. (Math.) (UKM), BSc. (Math.) (Industrial Math.) (UTM)

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Supporting Staff Assistant Engineer En. Mohd Hafidz Mohd Aman Cert. (Electrical Power) (PPD) En. Tajul Asmawee Abdullah Cert. (Data Processing) (POLISAS) En. Zukarnain Abdul Rahim Dip. (Electrical & Electronics) (Politeknik JB) En. Muhammad Ghazali bin Ibrahim Cert. (Electrical & Electronics Eng.) (Politeknik JB)

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Department of Science Academic Staff Head of Department Dr. Zahariah binti Zakaria Ph.D (Science) (UTHM), MSc. (Physics) (UPM), BSc. (Physics) (UPM) Professor Dato’ Dr. Mohd Noh bin Dalimin (Vice Chancellor) Ph.D, DIC (Solid State Physics) (Imperial College, Univ. London), MSc. (Solid State) (Univ. London), Bachelor (Physics) (Univ. Gadjah Mada, Indonesia) Associate Professor Dr. Mohd Kamarulzaki bin Mustafa Ph.D (Biophysics) (Univ. Sheffield, UK), MSc. (Physics Optic) (UTM), BSc. (Physics Instrumentation) (UTM) Associate Professor Dr. Mohd Arif bin Agam Ph.D (Physics) (Univ. Birmingham), MSc. Ed. (Physics) (UTM), BSc. (UPM), Dip (Sc. & Edu.) (UOM) Associate Professor Dr. Zaidi bin Embong Ph.D (Surface Science Physics) (Univ. Bristol, UK), MSc. (Nuclear Physics) (UTM), BSc. & Comp. with Edu. (Physics) (UTM) Associate Professor Dr. Mohamad Zaky bin Noh Ph.D (Material Engineering) (USM), MSc. (Physics) (UTM), BSc. (Physics) (UTM) Dr. Noor Azura binti Awang Ph.D (Optoelectronics) (UM), MSc. (Physics) (Optic and Laser) (UTM), BSc. (Physics) (Industrial Physics) (UTM) Dr. Rosmila binti Abdul Kahar Ph.D (Science) (UTHM), MSc. (Physics) (Univ. North Texas) (USA), BSc. (Physics) (Univ. North Texas) (USA) Dip. Edu. (UKM) Dr. Suzi Salwah binti Jikan Ph.D (Material Engineering) (USM), MSc. (Material Engineering) (USM), BSc. (Material Engineering) (USM). Dr. Hatijah Binti Basri Ph.D (Chemical Engineering) (UTM), MSc. (Chemistry) (UTM), BSc. (UTM) Dr. Nurun Najwa binti Ruslan Ph.D (Chemistry) (UTM), BSc. (Industrial Chemistry) (UTM) Dr. Fahmiruddin bin Esa Ph.D (Physics)(UPM), MSc. (Physics) (UTM), BSc. (Pure Physics) (UPM) Dr. Faridah binti Abu Bakar Ph.D (Nanomaterial, Photocatalysis) (Uni of Canterbury), (MSc. (Chemistry) (UTM), BSc. (Analytical Chemistry & Environmental) (UMT) Dr Suhadir Shamsuddin Ph.D (Physics and adv. Material) (UiTM), BSc (Physics) (UiTM), Dip (Physics) (UiTM)

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Dr. Siti Amira binti Othman Ph.D (Material Science) (UKM), BSc. (Nuclear Science) (UKM) Dr. Saliza binti Asman Ph.D (Analytical Chemistry) (UM), MSc. (Analytical Chemistry) (UPM), BSc. (Chemistry) (UPM) Dr. Mohd Zulhilmi bin Mayzan Ph.D (Material Science) (Univ.of Sheffield), BSc. (Hons) (Instrumentation Sc.) (UPM) En. Ahmad Hadi bin Ali MSc. (Physics) (Laser Plasma) (UTM), BSc. (Physics) (Industrial Physics) (UTM) En. Saffuwan bin Mohamed Johar MSc. (Med Phys.) (USM) BSc. & Comp. with Edu. (Physics) (UTM) En. Ahmad Hassan Sallehudin bin Mohd Sarif (Study Leave) MSc. (Appl. Quantum Physics and Nuclear Eng.) (Kyushu Univ.), BSc. (Energy Science and Eng.) (Kyushu Univ.) Pn. Zalilah Murni binti Mat Ali @ Yunus (Study Leave) MSc. (Chemistry) (UTM), BSc. (Chemistry) (UTM) Pn. Amira Saryati binti Ameruddin (Study Leave) BSc. (Physics Material) (UTM) Pn. Syazwan Hanani binti Meriam Suhaimy (Study Leave) MEng (Material) (UM), B.Eng(Chem.) (Chiba, Japan) Supporting Staff Science Officer Assistant En. Mohd Azman bin Mohd Sadikin Dip. Science (UTM) Senior Laboratory Assistant Pn. Norsidah binti Harun Bachelor (Information Tech. & Management) (OUM), Cert. (Management) (PJJ, USM) Laboratory Assistants Pn. Norhafizam binti Mohamed Yusof Cert. (Administrative Assistant Information System) (MLVK) En. Sufian bin Abd Rahim SPM Pn. Junaidah binti Azlan SPM En. Kamarul Affendi bin Hamdan Dip. (Civil Administration) (UiTM), Cert. (Electro-mechanical) (ILP) Pn. Nor Aqilla binti Mohd Nor Dip. (Civil Eng.) (PPD), Cert. (Politeknik Merlimau) En. Nooriskandar bin Sani

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Cert. (Electrical & Electronics Eng.) (Politeknik Johor Baharu) Department of Technology and Heritage Academic Staff Head of Department Associate Professor Dr. Mohd. Fadzelly bin Abu Bakar Ph.D (Biomedical Science) (University Of Nottingham), MSc (Food Biochem) (UPM), BSc (Nutrition and Community Health) (UPM) Professor Datin Dr Maryati binti Mohamed Ph.D (Entomology) (Univ. London, UK), BSc (Biologi) (Univ. Gadja Mada) Associate Professor Dr. Alona Cuevas Linatoc Ph.D (Forest Pyhsiology) (UMS), MSc. (Forest Botany) (UPM), BSc. (Sc. in Forestry) (Univ. Philippines Los Banos), Forest Ranger Certificate (Univ. Philippines Los Banos) Dr. Balkis binti Hj. A. Talip Ph.D (Molecular Biology for Microbes) (University of Ulster, Northern Ireland, UK), MSc. (Virology) (UPM), BSc. Hons. (Microbiology) (UPM) Dr. Hazel Monica Matias Peralta Ph.D (Marine Ecology and Biodiversity) (UPM), MSc. (Aquatic Biology) (UPM), BSc. (Fisheries) (Central Luzon State Univ.) Dr Siti Fatimah Zaharah binti Mohamad Fuzi Ph.D (Bioprocess Eng.) (UTM), BSc. Hons. (Industrial Biology) (UTM) Dr. Faridah binti Kormin Ph.D (Chem Eng.) (UMP), M.Eng (Bioprocess Eng.) (UTM), BSc (Food Tecnology) (UPM) Dr. Norhayati binti Muhammad Ph.D (Chem) (UKM), MSc (Maths) (UTM), BSc (Chem) (UKM), Dip (Edu. Sc.)(MPTI) Dr. Norazlin binti Abdullah Ph.D (Food Engineering) (UPM), MEng (Food Engineering) (UPM), BEng (Food and Process Engineering) (UPM) Dr. Furzani binti Pa’ee Ph.D (Science) (Univ of Manchester), BSc (Biotechnology) (Rochester Institute of Technology) Pn. Rugayah binti Issa MSc. (Home Economics) (Tennessee Univ., USA), BSc. (Home Economics) (Tennessee Univ.) Cik Siti Fatimah binti Sabran (Study Leave) BSc. (Biotechnology) (Rochester Institute of Technology, USA) Pn. Afidah binti Abu Talib (Study Leave) MSc. (Food Science) (UKM), BSc. (Food Science with Business Management) (UKM) Pn. Azni binti A. Aziz (Study Leave) MSc. (Food Science) (Quality Assurance) (Univ. Leeds, UK), BSc. (Science and Food Technology) (UiTM)

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Cik Hazrati binti Wazir (Study Leave) MSc. (Oleokimia) (UM), BSc. (Applied Chemistry) (UM) Supporting Staff Assistant Science Officer En. Ishak bin Ayub Diploma in Science (Chemistry) (UTM) Laboratory Assistant Pn. Azliza binti Mohd Ideris Bachelor (Biology) (USM) Pn. Samerah binti Mohd Nor Diploma in Science (UiTM) Pn. Siti Nazmilah binti Misrin SPM Pn. Norzieyana binti Md Arshad Diploma

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Department of Islamic Studies and Social Science Head of Department Dr. Shah Rul Anuar bin Nordin Ph.D (Usuluddin & Philosophy) (UKM), Master (Islamic Studies) (Usuluddin & Philosophy), B.A (Usuluddin & Philosophy) Profesor Dr Rosman bin Md Yusoff Ph.D (Social Administration) (Univ of Bradford), MA (Sociology Anthropology) (UKM), BA (Sociology Anthropology) (UKM) Associate Professor Dr. Hussain bin Othman Ph.D (Islamic Civilisation) (ISTAC, UIAM), M.Ed. (Curriculum & Teaching) (UTM), B.Is (Hons) (Usuluddin & Philosphy) (UKM), Dip. Ed. (Islamic Education & Arabic Language) (UKM) Associate Professor Dr. Syed Muhammad Dawilah al-Edrus Ph.D (Islamic Thought in Malay World) (Univ. Edinburgh, UK), M.A. (Islamic Epistemology) (Univ. Birmingham, UK), B.A. (Hons) (Literature and Science Social) (UM) Associate Professor Dr. Khairul Azman bin Mohd Suhaimy Ph.D (Sociology) (UUM), MSc. (Mgmt.) (UUM), B.A. (Hons) (South-east Asia Studies /Development Studies) (UM), Dip. Ed. (Language & History Teachings) (UM) Dr. Halimi binti Mohd. Khalid Ph.D (Science Philosophy) (UKM), Master (Civilisation Studies) (UM), B.A. (Syariah) (UM) Dip. Ed. (Maktab Perguruan Islam, Bangi) Dr. Mikdar Rusdi Ph.D (Tafsir al-Qur`an) (UKM), Master (Tafsir al-Qur`an) (UKM), B.A. (Tafsir al-Qur`an) (Univ. Al-Azhar, Cairo) Dr. Habibah @ Halijah binti Awang Ph.D (Syariah & Islam Religion) (IAIN Syarif Hidayatullah, Jakarta), Master (Syariah & Islamic Law) (IAIN Syarif Hidayatullah, Jakarta), Bachelor (Syariah & Islamic Law) (Univ. Al-Azhar, Mesir), Dip. Ed. (Islamic Studies) (Univ. Al-Azhar, Mesir) Dr. Rafiuddin Afkari Ph.D (UKM), Master (UM), Bachelor (UIN Sunan Kalijaga, Jogjakarta) Dr. Ahmad Sharifuddin bin Mustapha PhD (Fiqh & Usuluddin) (UM), Master (Islamic Study) (UKM), B.A. (Hons) (Univ. Al Azhar) Dr. Khairunesa binti Isa Ph.D (Management) (UTM), Master (Human Resources) (UTM), Bachelor (Human Development) (UPM) Dr. Khairol Anuar bin Kamri Ph.D (Pengajian Etnik)(UKM), Master (Public Administration) (UM), B.A. (Hons) (Communication) (UKM) Dr. Siti Sarawati binti Johar Ph.D (Management)(UTM), M.Ed. (Education Psychology), Bachelor (Education) (Hons) (History/ Counselling Psychology Education) Dr. Intan Farhana binti Saparudin Ph.D (Dakwah dan Kepimpinan) (UKM), Master (Counselling Psychology) (UKM), Bachelor (Usuluddin) (Dakwah & Human Development) (UM) Dr. Nur Zainatul Nadra binti Zainol

21

Ph.D (Al Quran dan Al Sunnah) (UKM), Master (Human Sciences) (Arabic as a Second Language) (IIUM), Bachelor (Human Sciences) (Arabic Language and Literature) (Hons) (IIUM) Pn. Shakila binti Ahmad Master (Usuluddin) (UM), Bachelor (Usuluddin) (UM) En. Abdullah bin Sulaiman MSc. (Human Resource Development & Cognitive Science) (UNIMAS), Bachelor (Islamic Studies) (Syariah Wal Qanun) (UKM) En. Nik Kamal bin Wan Mohammed M.A. (UKM), B.A. (Univ. Al-Azhar) En. Abd Shakor bin Borham Master (Syariah) (UM), Bachelor (Syariah) (UM) Pn. Harliana binti Halim M.A. (History) (UKM), B.A. (Islamic Studies) (Arabic Studies and Islamic Civilisation) (UKM) Pn. Sharifah Khadijah binti Syed Abu Bakar Master (Islamic Studies) (UKM), Bachelor (Syariah) (Yarmouk Univ. Irbid, Jordan) En. Mohd Hisyam bin Abdul Rahim Master (al-Qur'an & al-Sunnah Studies) (USIM), Bachelor (Arabic Language) (Univ. Al-Azhar, Mesir), Dip. (Islamic Studies) (Arabic Language & Literature) (Kolej Ugama Sultan Zainal Abidin, Kuala Terengganu) En. Ku Hasnan bin Ku Halim Master (Political Science) (Politic Hegemony) (UKM), Bachelor (Hons) (Social Science) (Political Science & Sociology) (UKM) En. Che Adenan bin Mohammad Master (Islamic Revealed Knowledge) (Fiqh & Usul al-Fiqh) (IIUM), Bachelor (Islamic Law) (Syariah Islamiyah) (Al-Azhar Univ., Egypt), Dip. Ed. (Arabic Language) (Institut Perguruan Islam Bangi) Pn. Fauziah binti Ani M.A. (Political Science) (UKM), B.A. (Political Science) (UKM) En. Lutfan bin Jaes Master (Technology Mgmt.) (UTM), Bachelor (Public Mgmt.) (Hons) (UUM) En. Zahrul Akmal bin Hj. Damin MPA (USM), Bachelor (Social Science) (Hons) (USM) Pn. Shahidah binti Hamzah (Study Leave) MA (Environmental Management) (UKM), B.A (Hons) Sains Sosial (UKM) Pn. Noranifitri binti Md Nor (Study Leave) MA (Managerial Communication) (UUM), B.A (Hons) Communication (UUM) Pn. Nor Azah binti Razali (Study Leave) M.A. (Political Science) (UKM), Bachelor (Administrative Science) (UiTM)

22

Programme Name

Bachelor of Science (Industrial Statistics) with Honours Programme Aims To produce graduates who are competent and tauhidic attitude by training and a holistic multidisciplinary program to meet current market needs and be able to compete globally. This effort is realized with the energy deployment and the optimization of expertise. Programme Educational Objectives (PEO) These are the PEOs for Bachelor of Science (Industrial Statistics) with Honours: PEO 1

Apply factual and fundamental knowledge and thinking skills necessary to construct an appropriate understanding of statistical phenomena in an applied context.

PEO 2

Effectively communicate both orally and in writing, and as a member of a multidisciplinary team, in their professional work

PEO 3

Carry out professionally the responsibility in fulfilling client, organization, social and nation obligation and practice good ethical standard

PEO 4

Show concern on the environmental, social, safety and economic context in which their work is carried out, and possess a strong commitment to ethical practice

23

Programme Learning Outcomes (PLO) These are the PLOs for Bachelor of Science (Industrial Statistics) with Honours: PLO 1

Acquire adequate knowledge and comprehension on the basic concepts that is sufficient in statistics fields.

PLO 2

Execute a set of skills in statistics such as presentation, computer, problem solving, technical know-how in various situations.

PLO 3

Express effective communication skills and present information in both written and verbal forms and via the use of ICT.

PLO 4

Describe problem related to field of Applied Statistics by using systematic problem solving skills.

PLO 5

Commit effectively in teams to achieve the objectives of the organisation.

PLO 6

Get engaged in lifelong learning to enhance knowledge and personal skill in the field of Statistics.

PLO 7

Practise principles of entrepreneurship in venturing business opportunity that oriented on related field.

PLO 8

Behave according to the roles and ethics of professionalism in terms of their skills in collecting, recording and analysing data in fulfilling social, cultural and environmental obligations

PLO 9

Adopt good leadership and adapt social responsibility wisely in organization and community.

24

Curriculum Structure Table 1: Summary of curriculum for the Bachelor of Science (Industrial Statistics) with Honours. Year Semester Course Code Courses Credit Total

1

I

UWA10102/UWA10202 Islamic Studies/ Moral Studies 2

18

BWB10402 Principals of Management 2 UWS10103 Nationhood and Current Development of

Malaysia 3 UWB1xx02 International Language 2 BWA10303 Linear Algebra 3 BWA10203 Calculus I 3 BWB10103 Statistics and Probability I 3 UWB10100 Foundation English 0

II

UWB10102 Academic English 2

18 UWA10302 Islamic and Asian Civilisations 2 UWS10202 Ethnic Relations 2 UQ*1xx01 Co-Curriculum I 1 BWA10603 Calculus II 3 BWB10303 Statistics and Probability II 3 BWB10203 C++ Programming 3 BWU10102 Entrepreneurship 2

2

I

UWB10202 Effective Communication 2

18

UQ*1xx01 Co-Curriculum II 1 BWB20503 Statistical Inference 3 BWB20602 Financial Statistics 2 BWB20703 Statistical Packages 3 BWB21602 Project Management 2 BWB21103 Survey and Sampling Methods 3 BWB21002 Industrial Management 2

II

BWU10202 Creativity and Innovation 2

18 UWB20302 Technical Writing 2 BWB20803 Applied Regression Analysis 3 BWB20903 Business Statistics 3 BWB22303 Applied Stochastic Model 3 BWB21503 Statistics for Decision Making 3 BWU10302 Occupational Safety and Healthy 2

3

I

BWB31203 Industrial Forecasting 3

18 BWB31303 Statistical Modeling 3 BWB31403 Industrial Quality Control 3 BWB32503 Statistical Consultation 3 BWB31903 Statistical for Quality Improvement 3 BWB31703 Categorical Data Analysis 3

II

BWB31803 Design and Analysis of Experiment 3

16 BWB32003 Industrial Reliability 3 BWB32203 Optimization Operations Research 3 BWB4xx03 Elective I 3 BWB32402 Bachelor Degree Project I 2 BWB23302 Special Topics and Current Issues 2

III BWB32104 Industrial Training 4 4

4 I BWB4xx03 Elective II 3

16 BWB4xx03 Elective III 3 BWB4xx03 Elective IV 3 BWB4xx03 Elective V 3 BWB42604 Bachelor Degree Project II 4

Total Credit 126 **For students with MUET band 2

25

Table 2: List of elective courses in Bachelor of Science (Industrial Statistics) with Honours

Fields Course Code Elective Courses Credit

Data Mining

BWB43303 Introduction to Data Mining 3 BWB43403 Advanced Data Mining 3 BWB43603 Business Data Processing 3 BWB43503 Network and Data Communication 3 BWB43703 Performance Modeling of Communication Network 3

Management and Logistics

BWB44203 Industrial Production Costing 3 BWB44103 Logistics Management 3 BWB44003 Strategic Marketing 3 BWB43903 Risks Management 3 BWB43803 Strategic Management 3

Medical Statistics

BWB43103 Demography Analysis 3 BWB43003 Epidemiology 3 BWB42803 Longitudinal Data Analysis 3 BWB43203 Medical Statictics 3 BWB42703 Statistical Modeling for Biology 3 BWB42903 Survival Analysis 3

26

University Courses

Year Sem Course Code Courses Credit Total

1

I

UWA10102/ UWA10202 Islamic Studies/Moral Studies 2

12 UWS10103 UWS10303

Nationhood and Current Development of Malaysia/ *Malaysian Studies and Culture

3

3 UWB10100 **Foundation English 0 UWB1xx02 Foreign Language 2 UWB10102 Academic English 2

II UWS10202 Ethnic Relations 2

6 UWA10302 Islamic and Asian Civilisation 2 UWB10202 Effective Communication 2

2 I UWB20302 Technical Writing 2 2 Total Overall Credit 20

*For international student only **For students with MUET band 2

27

Synopsis of University Courses UWB10100 Foundation English ------------------------------------------------------------------------------------------------------------------- Prerequisite Course(s): None Synopsis This course focuses on essential English grammar skills and introduces language learning with a focus on grammatical terminology, concepts and exercises. It provides opportunities for students to acquire basic grammar knowledge to complement the acquisition of English language. In addition, students’ oral and written skills will be reinforced and they would be able to use English for a wide range of academic activities. References 1. Koh, S.L. & Tan, S. L. (2003). Grammar made easy. Petaling Jaya: Prentice Hall. [PE1112.K63

2003] 2. Milon, N. (2002). Mastering English the easy way: The all in one guide to Basic English

grammar. Subang Jaya, Selangor: Pelanduk Publications. [PE1097 .N36 2002] 3. Werner, P.K. & Spaventa, L. (2002). Mosaic 1: Grammar. New York: McGraw-Hill.

[PE1128.W472 2002 N1] 4. Werner, P.K. & Spaventa, L. (2002). Mosaic 2: Grammar. New York: McGraw-Hill. [PE1128.W48 2002]

5. Fuchs, et al. (2001). Grammar Express:for self study and classroom use. New York: Longman. [PE1114.F83 2001]

6. Schoenberg, I.E. (1994). Focus on Grammar: a basic course for reference and practise. New York: Addison-Wiley. [PE1128 .S24 1994]

UWA10202 Academic English Prerequisite Course(s): None Synopsis English for Academic Purposes focuses on fulfilling students’ academic requirements such as the acquisition of reading, writing, listening and speaking skills in English. The course also concurrently provides opportunities for students to acquire basic grammar knowledge to complement the acquisition of English language. Students will be reinforced on aspects of English language oral and written skills that are most relevant to them in their academic work. By the end of the course, students should be able to use English for wide range of academic activities. References 1. Abd. Aziz, A. et al. (2005). English for Academic Communication. Kuala Lumpur: McGraw Hill

Malaysia. [PE1128.A2 .E53 2005] 2. Kaur, H.(2005). Explore MUET. Kuala Lumpur: Fajar Bakti Sdn. Bhd. 3. Koh, S.L. (2005). MUET Moments: Malaysia University English Test. Selangor: Pearson. [PE1128

.K63 2005] 4. Richards, C. (2009). Longman Text MUET: A Strategic Approach. Petaling Jaya: Pearson

Malaysia. [PE1128 .K97 2009]

28

UWB10202 Effective Communication Prerequisite Course(s): UWA10202 Academic English Synopsis This course emphasizes on task- based learning approach and focuses on developing students’ delivery of speech in oral interactions and presentations. Importance is given on mastery of self-directed learning, team-work, research, oral presentations, reasoning and creativity. This course also enables students to acquire knowledge and skills necessary for conducting and participating in meetings, including writing of meeting documents. Students will also be exposed to the techniques of conducting interviews. References 1. Cheesebro,T, O’Connor, L. & Rios, F. (2007). Communication skills: preparing for career success

(3rd ed.) Upper Saddle River, NJ: Pearson. 2. Davies, W.J. (2001) Communication skills: a guide for engineering and applied science student

(2nd ed.) . London: Prentice Hall. 3. Joan van Emden, L. (2004). Presentation skills for students. New York: Palgrave Macmillan. 4. Richard Johnson-Sheehan (2005). Technical Communication Today. New York: Pearson. 5. Salbiah Seliman et. al. (2004). English Communication for learners in engineering. Malaysia:

Prentice Hall. UWB20302 Technical Writing Prerequisite Course(s): UWB10202 Effective Communication Synopsis This course introduces students to report writing skills needed at tertiary level. Students will learn basic report writing skills such as proposals, progress reports, informational and analytical reports. In order to do this, they will learn how to collect data using questionnaires. The data collected will be analyzed, transferred into graphic forms and presented orally and in writing. Based on the analysis of data, students will be able to draw conclusions and make recommendations. References 1. Dorothy Cheung et. al. (1999). Report writing for engineering students. 2nd edition, Singapore:

Prentice Hall. PE1475 .R46 1999 N3 2. Finkelstein, J. (2008). Pocket Book of technical writing. 3rd ed. Singapore: McGraw Hill. T11 .F56

2008 3. Gerson, S. J. & Gerson, S. M. (2003). Technical writing: Process and product. 3rd ed. New

Jersey: Prentice Hall. PE1475 .G47 2000 4. Kolin, P. C. (2006). Successful writing at work. Concise ed. USA: Houghton Mufflin Company.

PE1408 .K64 2009 5. Lakshmy Anantha Krishnan et. al. (2003). Engineering your report: From start to finish.

Singapore: Prentice Hall. T11 .E64 2006

29

BWU10102 Entrepreneurship Prerequisite Course(s): None Synopsis This course covers various topics related to basic entrepreneurship including introduction to entrepreneurship, entrepreneurs’ characteristics and motivation, screening business environment and opportunity, formation of business and managing business. Students will also be exposed to real business. References 1. Charles E. Bamford, Garry D. Bruton (2011). Entrepreneurship: a small business approach. New

York : McGraw-Hill. Call number HD62.5 .B35 2011 2. Schaper M., Volery, T, Weber, P., Lewix, K., (2011). Entrepreneurship and small busiess; 3rd Asia-Pacific ed. John Wiley & Son. Call number HD2341 .E57 2011 3. Hisrich, R.D., Peter, M.P., Shepherd, D.A., (2010). Entrepreneurship, 8th ed. McGraw Hill. Call

number HD62.5 .H57 2010 4. Donald F. Kuratko, Richard M. Hodgetts. (2007). Entrepreneurship: theory, process, practice, 7th

ed. Mason: Thomson South-Western. Call number HB615 .K87 2007 5. John. B., Tidd. J., (2011). Innovation and entrepreneurship. 2nd ed. Chichester, West Sussex, UK.

Call number HD53 .B48 2011 BWU10202 Creativity and Innovation Prerequisite Course(s): None Synopsis This course focuses on developing a creative person who will eventually think strategically, creatively and critically. The knowledge and skills acquired throughout the course will later be applied by the students in solving problems and making decisions in the future. In this course, students will be exposed to various creativity and problem solving techniques. Some of the skills to be covered throughout the course are problem solving, techniques in creativity and techniques in innovation. References 1. Bernacki, E. 2002. Wow! That’s a Great Idea!. Singapore : Prentice Hall. 2. De Bono, E. (2003). Serious Creativity 1 : Lateral Thinking Tools, Techniques and Application.

Singapore : Allscript Books. 3. De Bono, E. (2003). Serious Creativity 2 : Lateral Thinking Tools, Techniques and Application.

Singapore : Allscript Books. 4. Ceserani, J. & Greatwood, P. 1995. Innovation and Creativity. London : Kogan Page. 5. Ceserani, J. & Greatwood, P. 2001. Innovation and Creativity. New Delhi : Creast

Publishing House. 6. Clegg, B. & Birch, P. 2002. Crash Course in Creativity. London : Kogan Page. 7. De Bono, E. 1998. Edward De Bono Supermind Pack: Expand Your Thinking Power with Strategic & Mental Exercise. DK Publishing Incorporated. 8. Lumsdaine, E., Lumsdaine, M. & Shelnut, J. W. 1999. Creative Problem Solving and

Engineering Design. USA: McGraw-Hill.

30

UWA10102 Islamic Studies Prerequisite Course(s): None Synopsis This course explains about Islamic concept as ad-deen. It discusses the study of al-Quran and al-Hadith, Sunnism, schools of Islamic theology, development of schools of Fiqh, principles of muamalat, Islamic Criminal Law, Islamic work ethics, issues in Islamic family law and current issues. References 1. Harun Din (Dr.) (2001), Manusia Dan Islam, cetakan pertama, Kuala Lumpur: Dewan Bahasa dan

Pustaka. [BP174. M36 1990] 2. Mustafa Abdul Rahman (1998), Hadith 40, Kuala Lumpur: Dewan Pustaka Fajar.

[BP135. A2 M87 1998] 3. Ismail Haji Ali, (1995), Pengertian dan Pegangan Iktikad yang benar: Ahli Sunnah Wal Jamaah: Kuala Lumpur: Penerbitan al-Hidayah. [BP166.78. P46 1995] 4. Paizah Haji Ismail (1991), Undang-undang Jenayah Islam, Kuala Lumpur: Dewan Pustaka Islam,

Angkatan Belia Islam Malaysia. [BP144. P35 1991] 5. Mustafa Haji Daud (1989), Institusi Kekeluargaan Islam, Kuala Lumpur: Dewan Pustaka dan

Bahasa. [BP188.3. F3.M87 1989] UWA10202 Moral Studies Prerequisite Course(s): None Synopsis This course explains on concepts of moral, aspects of moral and its importance in daily lives, Western moral theories and moral values of great religions of the world, moral values in work and current moral issues. References 1. Mohd Nasir Omar. (2010). Falsafah Akhlak, Penerbit Universiti Kebangsaan Malaysia, Bangi.

[BJ1291 .M524 2010]. 2. Hussain Othman. (2009). Wacana Asasi Agama dan Sains. Batu Pahat: Penerbit UTHM. [BL

240.3 H87 2009ª]. 3. Hussain Othman, S.M. Dawilah Al-Edrus, Berhannudin M. Salleh & Abdullah Sulaiman. (2009).

PBL Untuk Pembangunan Komuniti Lestari. Batu Pahat: Penerbit UTHM. [LB 1027.42 P76 2009a].

4. Eow Boon Hin. (2002). Moral Education. Longman. [LC268 .E48 2008]. 5. Ahmad Khamis. (1999). Etika Untuk Institusi Pengajian Tinggi. Kuala Lumpur: Kumpulan

Budiman. [LC315.M3 .A35 1999]. UWB10602 French Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic of French. Students are exposed to the skills of listening, reading, speaking and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using French. References 1. Booth, Trudie Maria, (2008). French Verbs Tenses. McGraw-Hill. Call no.: [PC 2271, U66 2008].

31

2. Heminway, Annie, (2008). Complete French Grammar. McGraw-Hill. Call no.: [PC2112, H45 2008].

3. Price, Glanville, (2003). A Comprehensive French Grammar. Blackwell Publishing. Call no.: [PC2112. P74, 2003].

4. Hatier. (2002). Le Nouveau Bescherelle 12,000 French Verbs. English Edition. Paris: Librairie Hatier.

5. Hatier, (1995). Le Nouveau Bescherelle Complete Guide 12 000 French Verbs. Paris: Librairie Hatier. 6. Kaneman-Pougatch, Massia et al, (1997). Méthod de français: Café Crème 1. Paris: Hachette F.L.E.

7. Grégoir, Maïa et al, (1995). Grammaire Progressive du Français avec 500 exercices. Paris: CLE International.

8. Miquel, Claire Leroy et al, (1995). Vocabulaire Progressive du Français avec 250 exercices. Paris: CLE International. 9. Capelle, Guy et Gidon, Noëlle, (1995). Méthod de français: Le Nouvel Espaces 1. Paris:

Hachette F.L.E. 10. French Dictionary (1999). The New Collins Robert 5th Edition. Paris: Harper Collins Publishers.

UWB10902 Mandarin Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic of Mandarin. Students are exposed to the skills of listening, reading, speaking and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Mandarin Language. References 1. Lim Hong Swan, Yeoh Li Cheng, (2010). Mandarin Made Easy Through English. Batu Pahat: Penerbit UTHM. [PL1129.E5 .L554 2009 a] 2. Liu Xun (2010). New Practical Chinese Reader: Textbook. China: Beijing Language and Culture

University Press. [PL1129.E5 .L58 2010] 3. Kang Yuhua (2007). Conversational Chinese 301:Vol. 2. China:Beijng Language and Culture

University Press. [PL1121.C5 .K364 2007] 4. Liping Jiang (2006). Experiencing Chinese. China: Higher Education Press. [PL1129.E5 .T59

2006] 5. Kang Yuhua (2005). Conversational Chinese 301. China: Beijing Language and Culture

University Press. [PL1121.C5 .K36 2005]

UWB11002 Malay Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic Malay language. Students are exposed to the skills of listening, reading, speaking, and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Malay language.

32

References 1. Ainun Mohd (2011). Tesaurus Bahasa Melayu. PTS Professional Publishing. [PL5123 .A364

2011] 2. Kamaruddin Saad (2009). 105 karangan bahasa melayu UPSR. Minerva Publishing. [PL 5108

KAM 2009] 3. Nik Safiah Karim (2008). Tatabahasa Dewan. [DBP. PL5108 .T37 2008 r] 4. Asmah Hj. Omar (1993). Susur Galur Bahasa Melayu. [DBP: KL. PL5127 .A85 1993 N1] 5. Asmah Hj. Omar (1993). Nahu Melayu Mutakhir. [DBP: KL. PL5137 .A85 1993] 6. Asmah Hj. Omar (1985). Kamus Ayat. Eastview. [PL5091 .A85 1985 rd] UWB11202 Arabic Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic of Arabic. Students are exposed to the skills of listening, reading, speaking and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Arabic. References 1. Mohd Hisyam Abdul Rahim; Ahmad Sharifuddin Mustapha; Mohd Zain Mubarak (2008). Bahasa

Arab UMR 1312. Batu Pahat: Penerbit UTHM. [PJ6115 .M445 2008 a] 2. Abu 'Amiir 'Izzat. (2008). Kamus adik: bahasa Melayu-bahasa Inggeris-bahasa Arab. Kuala

Terengganu: Pustaka Darul Iman. [PJ6640 ABU 2008] 3. Ab. Halim Mohammed; Rabiyah Hajimaming; Wan Muhammad Wan Sulong. (2007). Bahasa Arab Permulaan. Serdang: Penerbit UPM. [PJ6065 .A32 2007]

4. Abdullah, Mustaffa Siti Rohaya Sarnap Siti Sujinah Sarnap. (2006). Cara mudah belajar Bahasa Arab. Singapore: Jahabersa. [PJ6106 .A22 2006]

5. Mohd Hisyam bin Abdul Rahim. (2005). Senang Berbahasa Arab. Batu Pahat: Penerbit KUiTTHO. [PJ6115 .M44 2005 a] 6. Mohd Azani Ghazali, Abdul Aziz Hassan @ Yahya. (2000). Kamus ringkas Bahasa Melayu- Bahasa Arab. Johor Bahru: Jahabersa. [PL5091.8 .A7 .M393 2000 rd]

7. Fuad Ni'mat. (1973). Mulakhass qawa'id al-lughatul 'arabiyyah. Damsyik: Darul Hikmah. [PJ5161 .F62 1973]

UWB10802 Japanese Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic Japanese language. Students are exposed to the skills of listening, reading, speaking, and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Japanese language. References 1. Surie, Network (2010). AE Minna no Nihongo 1-2 Elementary: Translation and Grammatical

Notes, Tokyo: 3A Corporation. [PL539.3 .M57 2010] 2. Surie, Network (2010). AE Minna no Nihongo 1-1 Elementary: Main Textbook, Tokyo: 3A

Corporation. [TK7885.7 .V44 2000r] 3. Surie, Network (2009). AE Minna no Nihongo 1-1 Elementary: Translation and Grammatical

Notes, Tokyo: 3A Corporation. [PL539.3 .M567 2009] 4. Surie, Network (2009). AE Minna no Nihongo 1-2 Elementary: Main Textbook, Tokyo: 3A

Corporation. [PL539.3 .M569 2009]

33

5. Rosmahalil Azrol Abdullah, (2008) : Bahasa Jepun (UMJ 1312): Learning Module (2nd Edition), Batu Pahat. Penerbit UTHM. [PL539.3 .R67 2008a].

6. Surie Network, (2000). Minna no Nihongo: Kaite Oboeru, Tokyo: 3A Corporation. [PL539.3 .M56 2000]

7. M. Rajendran, (1991) Malay Japanese English Dictionary, Petaling Jaya: Pelanduk Publications. [PL5125 .R34 1991rd].

8. Surie Network, (1998). Minna no Nihongo: Main Textbook - Shokyu 1, Tokyo: 3A Corporation. [PL539.3 .M574 1998] 9. Yoshida, Masatoshi Nakamura, Yoshikatsu, (1996). Kodansha's Furigana English-Japanese dictionary: the essential dictionary for all students of Japanese, Tokyo: Kodansha International. [PL679. Y67 2006rd]

10. The AOTS, (1977). Shin Nihongo no Kiso: Japanese Kana Workbook, Tokyo: 3A Corporation. [PL539.3 .S54 1977]

UWB10702 German Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic German language. Students are exposed to the skills of listening, reading, speaking, and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using German language. References 1. Astrid Henschel, (2006). German Verb Tenses. New York: McGraw-Hill. [PF3301. H46 2006] 2. Gabriele Kopp, Siegfried Büttner, (2004). Planet 1: Deutsch für Jugendliche: Kursbuch. Ismaning:

Germany: Hueber Verlag. [PF3129. K664 2004] 3. Gabriele Kopp, Siegfried Büttner, (2004). Planet 1: Deutsch für Jugendliche: Arbeitsbuch. Ismaning: Germany: Hueber Verlag. [PF3129. K664 2004] 4. Heiner Schenke, (2004). Basic German: a grammar and workbook. London: Routledge.

[PF3112.5. 35 2004] 5. Robert Di Donato (2004). Deutsch, Na Klar! Boston: McGraw-Hill. [PF3112. D36 2004] UWB11102 Spanish Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic Japanese language. Students are exposed to the skills of listening, reading, speaking, and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Japanese language. References 1. Nurul Sabrina Zan, (2010). Hola! Hablo español First Edition Batu Pahat: Penerbit UTHM.

[PC4445 .N72 2010a] 2. Salina Husain, (2005). Vamos a aprender español lengua extranjera Batu Pahat: Penerbit UTHM.

[PC4121 .S24 2005a] 3. Bey, Vivienne (2004). Spanish verbs drills. Mc. Graw Hill. [PC4271 .B49 2004] 4. Terrell, Tracy D. (2003). Dos mundos. Mc. Graw Hill. [PC4129.E5 .D67 2003] 5. O’Connor, Niobe (2002). Caminos 1. Nelson Thornes. [PC4121 .O36 2002] 6. Vox modern Spanish and English dictionary: English-Spanish/Spanish-English (1986) National

Textbook. Co. XX(131882.1)

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UWB11302 Javanese Language Prerequisite Course(s): None Synopsis This course is designed for students to learn the basic Javanese language. Students are exposed to the skills of listening, reading, speaking, and writing with basic vocabulary, grammar and structure. Students are also exposed to the real daily situations which will help them to communicate using Javanese language. References 1. Purwanto, Eko (2011). Pepah Bahasa Jawi. Cara mudah belajar cepat dan tuntas bahasa Jawa. Diva press. XX(131748.1) 2. Majendra, Maheswara (2010). Kamus lengkap Indonesia-Jawa, Jawa-Indonesia/ Majendra

Maheswara. Pustaka Mahardika. XX(131732.1) 3. Budhi Santosa, Iman. (2010). Nguri-uri paribasan Jawi = Melestarikan peribahasa Jawa. Intan

Pariwara. XX(131751.1) 4. Yrama, Widya (2008). Cara belajar membaca dan menulis huruf jawa, jilid 1. Yrama Widya. Publication info:, 2008 XX(131738.1) 5. Yrama, Widya (2008). Cara belajar membaca dan menulis huruf jawa, jilid

2. Yrama Widya .Publication info:, 2008 XX(131739.1) UWS10103 Nationhood and Current Development of Malaysia Prerequisite Course(s): None Synopsis This course will provide students a fundamental concept, the processes of formation and development of Malaysia. The topics covered include the concept of state, Malacca Kingdom, implication of imperialism and colonization, spirit of patriotism and nationalism, independence and formation of Malaysia. Besides, students will also be exposed to the constitution of Malaysia, Malaysian Government System, Economic and Social Development Policy as the main policy in the national development. At the end of the course students will able to appreciate the roles and responsibilities of a good citizen to the country. References 1. Zahrul Akmal Damin, Fauziah Ani, Lutfan Jaes, Khairunesa Isa, Siti Sarawati Johar, Harliana

Halim, Khairul Azman Mohd Suhaimy, Shamsaadal Sholeh Saad, Ku Hasnan Ku Halim dan Mohd Akbal Abdullah (2009). Kenegaraan & Pembangunan Malaysia. Batu Pahat: Penerbit UTHM.

2. Ruslan Zainudin, Mohd Mahadee Ismail & Zaini Othman. (2005). Kenegaraan Malaysia. Shah Alam: Fajar Bakti. [JQ715 .R87 2005].

3. Nazaruddin Mohd Jali, Ma’rof Redzuan, Asnarulkhadi Abu Samah & Ismail Mohd Rashid. (2005). Pengajian Malaysia. Petaling Jaya: Prentice Hall. [DS596.6 .P46 2001 N2].

4. Mohd Ashraf Ibrahim. (2004).Gagasan Bangsa Malayan yang Bersatu 1945-57. Bangi: Penerbit UKM. [DS597 .M37 2004]. 5. Noor Aziah Mohd Awal. (2003). Pengenalan kepada Sistem Perundangan di Malaysia. Petaling Jaya: International Law Book Services. [KPG68 .N66 2003].

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UWS10303 Malaysian Studies and Culture Prerequisite Course(s): None Synopsis This course will provide students in basic understanding of Malaysia from various perspectives. Topics to be discussed include Malaysia in relation to its history, achievement and international affairs. In addition, students will also be exposed to the ethnic composition of the country, culture and heritage. Teaching and learning process enables student to acquire knowledge and appreciates the reality of life in Malaysia through experiential learning. References 1. Abdul Halim Nasir. (2004). Mosque Architecture in the Malay World. Bangi: Penerbit Universiti Kebangsaan Malaysia. [NA4670 .A23 2004]. 2. Nazaruddin Mohd. Jali. (2003). Malaysian Studies: Nationhood and Citizenship. Petaling Jaya:

Pearson Prentice Hall. 3. Francis Loh kok Wah dan Khoo Boo Teik. (2002). Democracy in Malaysia. Cornwall: Curzon

Press. 4. Khoo Kay Kim. (2001). Malay Society: Tranformation and Democratisation. Kelana Jaya: Pelanduk Publications. 5. Yahaya Ismail. (1989). The Cultural Heritage of Malaysia. Kuala Lumpur: Dinamika Kreatif Sdn.

Bhd. 6. Andaya, B.W. and Andaya, L. Y. (1982). A History of Malaysia. London: Macmillan. [DS596 .A52

2001]. 7. Mohamed Noordin Sopiee. (1974). From Malayan Union to Singapore Separation, Political Unification in the Malaysian Region, 1945-65. Kuala Lumpur: University of Malaya Press. [DS597

.M56 2005]. UQ*1xxx1 Co-Curriculum II Prerequisite Course(s): None Synopsis This course is offered in the form of multiple choice of activities for Diploma students and undergraduates. Three categories of activities offered are Sports and Recreational, Club/ Associations and Uniform Bodies.

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Synopsis of Faculty Courses BWB10403 Principles of Management Prerequisite Course(s): None Synopsis This course will provide students in basic understanding of organizations and management and also the foundations of planning tools and techniques. They will also be exposed on how to manage the changes in organization by applying innovation in order to motivate employees. References 1. Jones, Gareth R., George, Jennifer M. (2011). Essentials of Contemporary Management. 4th Ed.

Boston: McGraw-Hill. (HD31 .J665 2011) 2. Hill, Charles W. L., Steven Mc Shane. (2008). Principle of Management. McGraw Hill. (HD31 .H55 2008) 3. Stephen P. Robbins and Mary Coulter. (2007). Management. 9th Ed. Upper Saddle River, NJ:

Pearson. (HD31 .R62 2007) 4. Carpenter, Mason A. Sanders, Gerard Wm. (2009). Strategic Management: A Dynamic

Perspective: Concepts. 2nd Ed. Upper Saddle River, NJ: Pearson. (HD30.28 .C38 2009) 5. Morden, Tony. (2004). Principles of Management. 2nd Ed. Burlington, VT: Ashgate. (HD31 .M67 2004) BWA 10303 Linear Algebra Prerequisite Course(s): None Synopsis This course will provide students the concepts of Matrices and Determinant: Matrix operations, elementary row operation and inverses, determinants of matrices. Linear system: solution using matrix inverse, Crammer’s rule, Gauss and Gauss Jordan elimination method. Vector Spaces: linear independence, spanning sets, bases, the rank of a matrix, orthogonal bases, Gram-Schmidt process. Linear Transformation: kernel and range. Eigenvalues and Eigenvectors: Diagonalization, Cayley-Hamilton Theorem. References. 1. Seymor, Lipschutz (2012). Linear Algebra. McGraww-Hill. (QA188 .L56 2012). 2. Leon, S. J. (2006). Linear Algebra with Applications. 7th Ed. Upper Saddle River, NJ: Pearson. (QA184.2 .L46 2006) 3. Strang, G. (2006). Linear Algebra and its Applications. 4th Ed. CA: Thomson. (QA184.2 .S77

2006) 4. Lipschutz, Seymour (2002). Schaum's easy outlines: Linear Algebra. McGraw Hill. (QA184.2

.L56 2002) 5. Anton, H. (2005). Elementary Linear Algebra : Applications. 9th Ed. John Wiley. (QA184 .A57

2005 ca)

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BWA 10203 Calculus I Prerequisite Course(s): None Synopsis This course will provide students the concepts of Limits and Continuity: Techniques of finding limits. Continuity. Differentiation: Techniques of differentiation: product rule, quotient rule. Chain rule. Implicit differentiation. Higher derivatives. Differentiation of trigonometric functions, logarithmic functions, exponential functions, implicit functions, parametric functions, hyperbolic functions and inverse functions. Applications of differentiation: approximate value and error, rates of change, motion along a line, gradient of curve at a point, maximum and minimum problems, curve sketching. L’Hopital’s Rule: Indeterminate form of type 0/0, /, 0 , 00, 0, 1, – . Integration: Techniques of integration: integration by substitution, integration by parts, integrating rational functions, integration of trigonometric functions, integration of hyperbolic functions and integration of irrational functions. Applications of integration: area of a region and volume of revolution. Further Differentiation and Integration: Derivatives and integrations involving inverse trigonometric and inverse hyperbolic functions. Applications: arc length, surface area of revolution, curvature. References 1. Steward, James (2012). Calculus. 7th Ed. CA: Belmont CA. (QA303.2 . S73 2012) 2. Anton, H., Bivens, I. & Davis, S. (2002). Calculus. 7th Ed. USA: John Wiley & Sons, Inc.

(QA303 .A574 2002) 3. Smith, M. (2006). Calculus: Concepts & Connections. 1st Ed. New York: McGraw Hill.

(QA303.2 .S64 2006) 4. Larson, R. E., Hostetler, R. P. & Edward, B. H. (1998). Calculus with Analytic Geometry. 6th Ed.

USA: Houghton Mifflin Company. (QA303 .L37 1998). 5. Thomas, G. B. & Finney, R. L. (1996). Calculus and Analytic Geometry. 9th Ed. USA: Addison-

Wesley Publishing Company. (QA303 .T46 1996). BWB10103 Statistics and Probability I Prerequisite Course(s): None Synopsis This course will provide students the concepts and methods of statistics, including variability, randomness, and probability. Students are taught how to collect, analyze, and interpret data correctly based on data description. Students are also shown how to clearly and accurately present data to others using frequency distributions and graphs. References 1. Keller, Gerald (2005). Statistics for management and economics. 7th ed. Thomson. (HD30.215

.K44 2005) 2. Mendenhall, William Beaver, Robert J. Beaver, Barbara M. (2006). Introduction to Probability &

Statistics. 12th ed. Belmont, CA: Thomson. (QA276 .M46 2006) 3. Bluman, Allan G. (2014). Elementary Statistics, A Step By Step Approach. 9th ed. New York: Mac

Graw Hill International Edition. (QA276.12 .B58 2014) 4. Triola, Mario F. (2011). Essential of Statistics. 4th ed. Boston, MA: Pearson Education. (QA276.12

.T74 2011) 5. Tan, Choo Kim (2007). Elementary Probability and Statistics. 2nd ed. Petaling Jaya: Prentice Hall. (QA273 .E43 2007)

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BWA 10503 Calculus II Prerequisite Course(s): Calculus I Synopsis This course will provide students the concepts of Sequence and series: Convergence/ divergence of sequences. Infinite series: Geometric series, p-series, alternating series and telescoping series. Convergence tests: divergence test, integral test, comparison test, limit comparison test, ratio test, root test, alternating series test and ratio test for absolute convergence. Absolute and conditional convergence. Power series. Taylor and Maclaurin series. Application of power series. Functions of Several Variables: Domain and range, contour lines, level curves and 3D-graphs. Limits and continuity. Partial derivatives and chain rules. Mixed derivatives. Rate of change. Total differentials and exact differentials. Local and absolute extreme values of functions of two variables. Lagrange multipliers. Multiple Integrations: Double integrals: Areas and volumes. Double integrals in polar coordinates. Surface areas. Triple integrals: Volumes. Triple integrals in cylindrical and spherical coordinates. Applications: Mass, moments of mass, centre of mass, centroid, centre of gravity, theorem of Pappus and moment of inertia. Change of variables in multiple integrals: Jacobians. References 1. Smith, R. T. & Minton, R. B. (2012). Calculus Early Transcendental Function. 4rd Edition. New York: McGraw-Hill. (QA303.2 .S644 2012) 2. Stewart, J. (2008). Calculus. 6th Edition. USA: Thomson Learning Inc. (QA303.2 .S73 2008) 3. Kuttler, Kenneth. (2011). Calculus: Theory and Applications. World Scientific. (QA303.2 .K87

2011 v. 2) 4. Anton, H., Bivens, I. & Davis, S. (2002). Calculus. 7th Edition. New York: John Wiley. (QA303

.A57 2002 n.1) 5. Straud, K. A. (1996). Further Engineering Mathematics. 3rd Edition. England: Macmillian

Publication. (TA330 .S773 1996) BWB10303 Statistics and Probability II Prerequisite Course(s): Statistics and Probability I Synopsis This course is designed for students to learn the fundamental of probability distributions and the roadmap of statistical distribution. Students are exposed to the theoretical concepts of inferential statistics on estimation and hypothesis testing. Students are also exposed to the mathematical derivation on a certain topics. References 1. Ross, Sheldon M. (2009). Introduction to probability and statistics for engineers and scientists. 4th

Ed. Academic Press/Elsevier. (TA340 .R67 2009) 2. Mendenhall, William Beaver, Robert J. Beaver, Barbara M. (2006). Introduction to Probability &

Statistics. 12th Ed. Belmont, CA: Thomson. (QA276 .M46 2006) 3. Bluman, Allan G. (2014). Elementary Statistics, A Step By Step Approach. 9th ed. New York: Mac Graw Hill International Edition. (QA276.12 .B58 2014)

4. Mario F. Triola. (2011). Essential of Statistics. 4th Ed. Boston, MA: Pearson Education. (QA276.12 .T74 2011)

5. Tan, Choo Kim. (2007). Elementary Probability and Statistics. 2nd Ed. PetalingJaya: Prentice Hall. (QA273 .E43 2007)

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BWB10203 C++ Programming Prerequisite Course(s): None This course will provide students the concepts of Visual C++: Machine languages, object oriented programming, compilers, preprocessor directives. Input/ output, variable types, arithmetic and relational operations: Standard input and output commands, variable types, arithmetic and relational operators, precedence of operators, variable casting. Control structures and logical operators: Algorithms and pseudocodes, control structures, if, if-else, while, do-while and for statements. Functions and recursion: Math library functions, C++ standard library header files, function definitions, prototypes and arguments, storage classes, function call and argument passing, recursive functions. Arrays: Declaring single and multidimensional arrays, passing arrays to functions, searching and sorting arrays. Pointers and strings: Pointer variable declarations, passing arguments with pointers, pointer expressions and arithmetic, string manipulation functions. File processing: Creating a sequential file, opening files for input/ output, reading data and updating sequential files. Templates: Function templates and overloading function templates. References 1. Deitel, H. M. & Deitel, P. J. (2012). C++ How to Program. 8th Ed. New Jersey: Prentice Hall

(QA76.73.C153 .D44 2012). 2. Horton, I. (2003). Beginning Visual C++ 6.0. USA, Indianapolis, IN: Wrox (QA76.73.C153 .H674 2003). 3. Smith, M. (2000). Object-Oriented Software in ANSI C++. 2nd Ed. UK: McGraw-Hill International

(QA76.73 .S64 1999). 4. Bronson, G. J. (2006). A First Book of C++. 3rd Ed. Boston, MA: Thomson (QA76.73.C153 .B766

2006). 5. Hyman, M. & Arnson, B. (1998). Visual C++ 6 for Dummies. Foster City, CA: IDG Books Worldwide (QA76.73.C153 .H95 1998). BWB20503 Statistical Inference Prerequisite Course(s): None Synopsis This course is designed for students to learn about the statistical inference. Students are exposed to the theory of transformation and expectation, sampling distributions and point estimation. Students are also exposed to theory and the application of interval estimation and hypothesis testing. References 1. Cox, D.R. (2006). Principles of Statistical Inference. Cambridge University Press. (QA276 .C69 2006) 2. Hogg, Robert V. (2006). Probability and statistical inference. 7th ed. Pearson. (QA273 .H69 2006) 3. Garthwaite, Paul H. (2002). Statistical Inference. 2nd Ed. Oxford University. (QA276 .G37 2002) 4. George Casella & Roger L. Berger. (2002). Statistical Inference. 2nd ed. Duxbury Advanced

Series. (QA276 .C37 2002) 5. Paul H. Garthwaite, I. T. Jolliffe, Byron Jones. (2002). Statistical Inference. 2nd ed. Oxford Science

Publications. (QA276 .G37 2002)

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BWB20602 Financial Statistics Prerequisite Course(s): None Synopsis Statistical methods provide a powerful tool for analyzing and drawing conclusions from financial data. This course focuses on the application of probability, distribution, and statistical analysis to financial data. Students will study about returns, portfolio theory, the capital asset pricing model, options pricing: fixed income securities and value-at-risk. References 1. Rosenkrantz, Walter A. (2009). Introduction to Probability And Statistics For Science,

Engineering, And Finance. CRC Press. (QA273 .R69 2009) 2. Jürgen Franke, Wolfgang Härdle & Christian M. Hafner. (2008). Statistics of Financial Markets: An Introduction. 2nd Ed. Berlin: Springer. (HG176.5 .F72 2008) 3. Robert James Elliott, P. E. Kopp. (2005). Mathematics of Financial Markets. 2nded. New York: Springer. (HG4515.3 .E44 2005) 4. Franke, Jurgen. (2008). Statistics of Financial Markets : An Introduction 2nd Ed. Sringer. (HG176.5 .F72 2008). 5. Steland, Ansgar. (2012). Financial Statistics And Mathematical Finance : Methods, Models And Applications. Wiley (HF5691 .S75)

BWB20703 Statistical Packages Prerequisite Course(s): None Synopsis This course will introduce a high-level programming language known as R-Cran together with MINITAB and SPSS, that is widely used for statistical data analysis. Using R, we will study and practice the following methodologies; data cleaning, data visualisation, fitting various statistical models. Besides, an exploratory data analyses, analysis of variance and analysis of discrete will be explored. References 1. Maindonald, J.H. (2007). Data analysis and graphics using R: an example based approach.

Cambridge University Press. (QA276.4 .M34 2007). 2. Logan, M. (2010). Biostatistical design and analysis using R: a practical guide. Wiley-Blackwell (QH323.5 .L64 2010).

3. Crawley, M.J. (2005). Statistics: an introduction using R. John Wiley. (QA276.12 .C72 2005) 4. Sawitzki, G. (2009). Computational statistics: an introduction to R. CRC. (QA276.45.R3 .S28

2009). 5. Babbie, E. (2013). Adventures in social research: data analysis using IBM SPSS statistics. SAGE.

(HA32 .A38 2013). 6. Lesik, S.A. (2010). Applied statistical inference with MINITAB. Boca Raton, FL: Taylor & Francis.

(QA276.3 .L47 2010). BWB21602 Project Management Prerequisite Course(s): None Synopsis This course develops a foundation of concepts and solutions that supports the planning, scheduling, controlling, resource allocation, and performance measurement activities required for successful completion of a project.

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References 1. Gido, Jack & James P. Clements. (2009). Successful Project Management. 4th Ed. Mason:

Cengage. (HD69.P75 .G52 2009) 2. James P. Lewis. (2007). Fundamentals of Project Management. 3rd Ed. USA: American

Management Association. (HD69.P75 .L485 2007) 3. Lutchman, Chitram. (2011). Project Execution: A Practical Approach to Industrial And Commercial

Project Management. Boca Raton: CRC. (HD69.P75 .L87 2011) 4. Kerzner, Harold. (2010). Project Management Best Practices: Achieving Global Excellence. 2nd Ed. New York: John Wiley. (HD69.P75 .K47 2010) 5. Mantel, Samuel J. (2008). Project Management in Practice. 3rd Ed. Hoboken, NJ: John Wiley.

(HD69.P75 .P76 2008) BWB21103 Survey and Sampling Methods Prerequisite Course(s): None Synopsis Survey and sampling methods is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include design and analysis of survey focuses on introduction, sampling distributions, simple random sampling, systematic sampling, stratified random sampling and cluster sampling. References 1. Paul S. Levy. (1999). Sampling of Populations: Methods and Applications. 3rd Ed. The University

of Michigan: Wiley. (HB849.49 .L49 1999) 2. Richard L. Scheaffer, William Mendenhall III and R. Lyman Ott. (2006). Elementary Survey Sampling. 6th Ed. Belmont, CA: Thomson. (QA276.6 .S34 2006) 3. Sharon L. Lohr. (2010). Sampling: Design and Analysis. 2nd Ed. Pacific Grove: Duxbury Press.

(HA31.2 .L63 2010) 4. William G. Cochran. (1977). Sampling Techniques. 3rd Ed. The University of California: Wiley.

(QA276.6 .C63 1977) 5. Rea, Louis M. and Parker, Richard A. (2005). Designing and Conducting Survey Research: A

Comprehensive Guide. 3rd Ed. San Francisco: Jossey-Bass. (HA31.2 .R43 2005) BWB21002 Industrial Management Prerequisite Course(s): None Synopsis This course focuses on organization and inter-organizational relationship, factors influencing people and enterprise behavior in the context of the work place. Overview of business and the various functional aspects of the firm also being introduced by, demonstrating an understanding of choosing the proper business form, system of production, production flow chart for the production of one product and development of a product. References 1. Jones, George, Hill.(2011). Essentials of Contemporary Management. 4 Ed. Boston: McGraw-Hill.

(HD31 .J665 2011) 2. Stephen P. Robbins and Mary Coulter. (2007). Management, 9thEd.Upper Saddle River, NJ:

Pearson. (HD31 .R62 2007) 3. Ma, Zongmin. (2006). Database Modeling For Industrial Data Management: Emerging Technologies And Applications, Hershey. PA: Idea Group. (HD45 .M39 2006)

4. Garvin, David A. (2002).General Management: Processes and Action. Boston: McGraw-Hill. (HD31 .G37 2002)

42

5. Philip Bobko. (2001). Correlation and Regression: Applications for Industrial Organizational Psychology and Management. Thousand Oaks, CA: Sage Publications. (HF5549 .B62 2001)

BWU10202 Creativity and Innovation Prerequisite Course(s): None Synopsis This course focuses on developing a creative person who will eventually think strategically, creatively and critically. The knowledge and skills acquired throughout the course will later be applied by the students in solving problems and making decisions in the future. In this course, students will be exposed to various creativity and problem solving techniques. Some of the skills to be covered throughout the course are problem solving, techniques in creativity and techniques in innovation. References 9. De Bono, E. (2003). Serious Creativity 1: Lateral Thinking Tools, Techniques and Application.

Singapore: Allscript Books. (BF408 .D366 2003) 10. Moeran, Brian (2013). Exploring creativity : evaluative practices in innovation, design and the arts. Cambridge University Press. (HD53 .E96 2013)

11. Goodman, Malcolm (2013). Creativity and strategic innovation management. Routledge. (HD53 .G66 2013)

12. Sarmento, Anabela (2011). Technology for creativity and innovation : tools, techniques and applications. Information Science Reference. (HD53 .S37 2011) 13. Lumsdaine, E., Lumsdaine, M. & Shelnut, J. W. 1999. Creative Problem Solving and Engineering Design. USA: McGraw-Hill. (BF408 .L85 1999)

BWB20803 Applied Regression Analysis Prerequisite Course(s): None Synopsis The course is designed to the students to develop critical thinking and problem solving by using statistical modelling based on linearity concepts. Students are exposed to the theory and application of regression analysis, for both simple and multiple regression, and also the concept of matrix algebra. Students are also exposed with use of modern statistical software packages for building a regression model and interpret the results. References 1. Kutner, Nachtsheim, Neter. (2004). Applied Linear Regression Models. 4th Ed. Boston: McGraw

Hill. (QA278.2 .K87 2004) 2. D. Montgomery, E. Peck and G. Vining. (2006). Introduction to Linear Regression Analysis. 4th

Ed.Hoboken, NJ: John Wiley. (QA278.2 .M66 2006) 3. W. Medenhall and T. Sincich. (2003). A Second Course In Statistics: Regression Analysis. 6th

Edition. Prentice Hall. (HF1017 .M46 2003). 4. Fox, John. (2008). Applied Regression Analysis and Generalized Linear Models. 2nd Edition. London: Sage Publications. (HA31.3 .F69 2008)

5. Philip Bobko. (2001). Correlation and Regression: Applications for Industrial Organizational Psychology and Management. Thousand Oaks, CA: Sage Publications. (HF5549 .B62 2001)

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BWB20903 Business Statistics Prerequisite Course(s): None Synopsis This course applies statistical methods in a business context in order to address business related questions and help make evidence based decisions. Student will learn to apply commonly used statistical methods in business contexts and how to interpret analyses performed by others. Besides, they will explore how to describe data and make evidence based decisions using inferential statistics that are based on well-reasoned statistical arguments. The main topics are; data and statistics, descriptive statistics, tabular and graphical method, descriptive statistics, numerical methods, introduction to probability, discrete probability distribution, continuous probability distribution, sampling distributions, estimation, hypothesis testing and simple linear regression. References 1. Ovedovitz, A.C. (2001). Business Statistics in Brief. Australia : South-Western College

Publishing, (HF1017 .O93 2001). 2. Sharma, J.K. (2005). Business Statistics. New Delhi : Pearson Education, 2005 (HF1017 .S52 2005). 3. Aczel, A.D. (2009). Complete Business Statistics. Boston, MA : McGraw-Hill/Irwin. (HF1017 .A39

2009). 4. McClave, J.T. (2001). Statistics for Business and Economics. Upper Saddle River, NJ : Prentice

Hall. (HF1017 .M34 2001). 5. Bowerman, B.L. (2014). Business Statistics in Practice. The Mcgraw-Hill/Irwin. (HF1017 .B68 2014). 6. Berenson, M.L. (2007). Basic Business Statistics: Concepts and Applications. Frenchs Forest,

NSW: Pearson Education Australia. (HF1017 .B47 2007). BWB22303 Applied Stochastic Model Prerequisite Course(s): None Synopsis Provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. References 1. Prabhu, Narahari U. (2007). Stochastic processes: basic theory and its applications. World

Scientific. (QA274 .P72 2007) 2. Grimmett, Geoffrey and Stirzaker, David (2001). Probability and Random Processes. 3rd Ed.

United States: Oxford University Press. (QA273 .G74 2001) 3. Capinski, Marek (2001). Probability through problems. Springer. (QA273.25 .C36 2001 N1) 4. Madsen, H. (2008).Time Series Analysis. Chapman & Hall. (QA280 .M32 2008) 5. Kornreich, Philipp (2008). Mathematical models of information and stochastic systems, CRC Press. (QA274.2 .K67 2008). BWB21503 Statistics for Decision Making Prerequisite Course(s): None Synopsis This course introduces the technique on heuristics and mental models, rationality and probability in decision making, conditional probability and bayesian updating, decision making tools, decision trees and real options, heuristics representative, heuristics, available and anchoring, social heuristics,

44

overconfidence and hindsight bias, feedback and mental accounting, prospect theory and managerial risk taking and group decision making. References 1. Bazerman, M.H. (2006). Judgment in Managerial Decision Making. 7th Ed. Indiana University:

John Wiley & Sons (HD30.23 .B39 2006). 2. Henry, J. (2001). Creativity & Perception in Management, London: Sage Publications (HD31 .H46

2001). 3. Tuffery, S. (2011). Data Mining and Statistics for Decision Making. Hoboken, NJ: Wiley (QA76.9.D343 .T83 2011).

4. David F. Groebner. (2008). Business Statistics: A Decision Making Approach. 7th Ed. Upper Saddle River, NJ: Pearson (HF1017 .B87 2008).

5. Ken Black. (2008). Business Statistics: for Contemporary Decision Making. 5th Ed. Hoboken, NJ: John Wiley (HF1017 .B52 2008). BWU10302 Occupational Safety and Health Prerequisite Course(s): None Synopsis This course introduces students to knowledge and skills in occupational safety and health in workplace. Scope of study includes Health, Safety and Environment Managements: introduction to OSH, OSHA 1994 (Act 514), FMA 1967, EQA 1974, occupational safety and health management system, safety, health and environment culture; Risk Management and Assessment: introduction to risk management, risk assessment techniques, HIRARC; Physical Injury & Controls: introduction to physical injury, construction work, electrical work, mechanical work, chemical work; Health Hazards: introduction to health hazards & hygiene, chemical hazards, physical hazards, biological hazards, hygiene; Accident Investigation & Reporting: introduction, accident investigation, investigations and causes of incident, incident analysis and data collection method. References 1. Occupational Safety and Health Act and Regulations. MDC Publishers Printer Sdn. Bhd. 2001. (

KPG1390.M34 2001 rw N2). 2. Factories and Machinery Act & Regulations. MDC Publishers Printer Sdn. Bhd. 2001. (

KPG1390.A31967.A4 2001 rw N1). 3. Ismail Bahari (2006). Pengurusan Keselamatan dan Kesihatan Pekerjaan. Edisi Kedua. McGraw

Hill Education (Malaysia). (T55 .I85 2006). 4. Davies, V. J. and Tomasin K. (2006). Construction Safety Handbook. 2nd ed. London: Thomas

Telford. (TH443.R43 2006). 5. Anton, Thomas J. (2009). Occupational Safety and Health Management. 3rd ed. New York: McGraw-Hill. (T55.A57 1989).

BWB31203 Industrial Forecasting Prerequisite Course(s): None Synopsis This course covers Time Series data, with an emphasis on computer based analysis and reporting the results of analyses. Students are exposed to various types of forecasting methods. They learn how to choose a forecasting method, modeling time series data, forecast and lastly evaluate the forecast accuracy. References 1. Bowerman, B. (2005). An Forecasting and Time Series and Regression: An Applied

Approach.The University of Michigan: Duxbury Press (QA280 .B68 2005).

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2. Cooray, T. M. J. A. (2008). Applied Time Series : Analysis And Forecasting. Alpha Science. (QA280. C66 2008).

3. Brockwell, Peter J. (2002). Introduction To Time Series And Forecasting 2nd ed. Springer. (QA280 .B76 2002)

4. Bisgaard, Soren (2011). Time Series Analysis And Forecasting By Example. Wiley (QA280 .B57 2011).

5. Montgomery, Douglas C.Student. solutions manual to accompany : introduction to time series analysis and forecasting. Wiley.(QA280 .M663 2009).

BWB31303 Statistical Modeling Prerequisite Course(s): None Synopsis This is a course in intermediate and advanced statistical inference techniques in the context of applied research questions in data science. Assuming some prior exposure to probability and statistics, this course will first cover topics such as linear modeling, generalized linear model, categorical data, Markov Chains and survival models. These topics are followed by recent developments in model selection and Bayesian modeling. The student will be expected to understand the mathematical theory, implement related statistical algorithms in statistical programming language such as R, and interpret models and parameters in the context of applied statistical analysis of real data. References 1. David Freedman. (2009). Statistical Models: Theory and Practice. USA: Cambridge University

Press (QA279 .F74 2009). 2. Hutcheson, Graeme D. & Moutinho, Luiz. (2008). Statistical Modeling for Management. London:

Sage Publication Ltd (HF5415 .H87 2008). 3. Khuri, A. I. (2010). Linear model methodology. Boca Raton : CRC (QA279 .K484 2010). 4. Sheldon M. Ross. (2007). Introduction to Probability Models. 9th Ed. USA: Academic Press

(QA273 .R675 2007). 5. Rao, M. M. (2005). Probability theory with applications. 2nd Ed. New York : Springer (QA273 .R36

2006). BWB31403 Industrial Quality Control Prerequisite Course(s): None Synopsis This course is designed to the students as a comprehensive coverage of modern quality control techniques including the design of statistical process control and process improvement. Students are exposed to a variety of techniques that widely used in many industries particularly on understanding the variation, improve product quality and reduce costs. References 1. Douglas C. Montgomery (2009). Statistical Quality Control: A Modern Introduction. 6th Ed.

Hoboken, NJ: John Wiley (TS156 .M66 2009). 2. Dale H. Besterfield (2009). Quality Control 8th ed. Upper Saddle River, NJ. Pearson (TS156. B47

2009) 3. Chandra M. Jeya (2001). Statistical Quality Control. Boca Raton: FL: CRC Press (TS156 .C42

2001). 4. Thomas P. Ryan (2000). Statistical Method for Quality Improvement. 2nd Ed. New York, John

Willey (TS156. R92 2000). 5. Steven M. Zimmerman (2003). Statistical Quality Control Using Excel. 2nd Ed. Milwaukee, WI.

ASQ Quality Press (TS156. Z55 2003).

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BWB32503 Statistical Consultation Prerequisite Course(s): None Synopsis The course provides an overview of practically useful statistical methods: methods for statistical planning for explorative data analysis and for statistical modeling and statistical inference. It also provides hands-on training in problem formulation, problem solving, communication and report writing real statistical consulting. References 1. Janice Derr. (2000). Statistical Consulting: A Guide to Effective Communication. Singapore: Thomson Learning (HA29 .D47 2000). 2. Chuan Yan Piaw. (2006). Kaedah Penyelidikan. Malaysia: McGraw Hill (H62 .C48 2006). 3. Yogesh Kumar Singh. (2005). Research Methodology. New Delhi: APH Publishing (H62 .S57

2005). 4. Ranjit Kumar. (2010). Research Methodology: A Step-By-Step Guide for Beginners. 3rd Ed.

London: Sage Publication (Q180.55.M4 .K85 2010). 5. John Keenan Taylor, Cheryl Cihon. (2004). Statistical Techniques for Data Analysis. 2nd Ed. UK: Chapman & Hall/CRC (QA276 .T39 2004).

BWB31903 Statistics for Quality Improvement Prerequisite Course(s): None Synopsis This course is designed to the students in recognition to the fact that quality improvement requires the use of more than just control charts. Students are exposed with the procedure in the specifications of the product design and quality improvement. Students are also exposed to the real data analysis of industrial in engineering problems. References 1. Thomas, P. Ryan (2000). Statistical Methods for Quality Improvement. New York: John Wiley

(TS156 .R92 2000). 2. Harrison, M. W. (2002). Modern Methods for Quality Control and Improvement. New York: John

Wiley (TS 156 .W32 2002). 3. Douglas C. Montgomery (2009). Statistical Quality Control: A Modern Introduction. 6th Ed.

Hoboken, NJ: John Wiley (TS156 .M66 2009). 4. John Lawson, John Erjavec. (2001). Modern Statistics for Engineering and Quality Improvement.

Pacific Grove, CA: Thomson Learning (TA340 .L38 2001). 5. Gan, T. K. (2002). Quality Improvement by Using Statistical Process Control. BatuPahat:

KolejUniversitiTeknologiTun Hussein Onn (HF5415.I57 .G36 2002 ra). BWB31703 Categorical Data Analysis Prerequisite Course(s): None Synopsis This course will use a high-level programming language known as R-Cran, that is widely used for statistical data analysis. Using R, student will study and practice the following methodologies; the description and inference for binomial and multinomial variables using proportions and odds ratio, multi-way contingency tables, generalised linear models, logistic regression for binary responses, models for multiple responses categories and log-linear models. Applications in the social science are

47

considered and the interpretation of models and fits, rather than mathematical details of computational procedures are emphasized. References 1. Agresti, A. (2002). Categorical Data Analysis. 2nd Ed. Canada: John Willey and Sons (QA278

.A36 2002). 2. Powers, D.A. (2008). Statistical Methods for Categorical Data Analysis. Bingley, UK : Emerald.

(QA278 .P68 2008). 3. Simonoff, J.S. (2003). Analzing Categorical Data. New York : Springer. (QA278 .S55 2003). 4. Lawal, B. (2003). Categorical Data Analysis with SAS and SPSS Applications. Mahwah, NJ:

Lawrence Erlbaum. (QA278 .L38 2003). 5. Hilbe, J.M. (2009). Logistic Regression Models. Boca Raton: CRC. (QA278.2 .H54 2009). BWB31803 Design and Analysis of Experiment Prerequisite Course(s): None Synopsis This program is planned for those interested in the design, conduct, and analysis of experiments in the physical, chemical, biological, medical, social, psychological, economic, engineering, or industrial sciences.Throughout the program we emphasize applications, using real examples from the areas mentioned above, including such relatively new areas as experimentation in the social and economic sciences. References 1. Montgomery, D.C. (2009). Design and Analysis of Experiments. 7th Ed. Hoboken, NJ: John Wiley

& Sons, Inc (QA279 .M66 2009). 2. Ott, R. Lyman and Longnecker, Micheal. (2010). An Introduction to Statistical Methods and Data Analysis. Belmont, CA: Brook/Cole Cengage Learning (QA276 .O87 2010). 3. Hinkelmann, K and Kempthorne, O. (2005). Design and Analysis of Experiments. Hoboken, NJ:

John Wiley & Sons, Inc (QA279 .H56 1994). 4. Wu, C.F., Jeff & Michael Hamada (2000). Experiments: Planning, Analysis, and Parameter

Design Optimization. New York: John Wiley & Sons, Inc (QA279 .W82 2000 N1). 5. Experimental human-computer interaction : a practical guide with visual examples. Cambridge

University Press,(QA76.9.H85 P87 2012) BWB32003 Industrial Reliability Prerequisite Course(s): None Synopsis Industrial Reliability focuses on reliability function that is used to describe reliability of components or systems. They learn how a failure times are calculated and estimated in real application. They also introduced to several distributions that can be used to describe the reliability. References 1. Paul A. Tobias, David C. Trindade. (2011). Applied Reliability.3rd Ed. Florida: Chapman and Hall

(TA169 .T62 2011). 2. Blischke, W. R. & Murthy D. N. P. (2000). Reliability: Modelling, Prediction, and Optimization. New

York: John Wiley & Sons, Inc (TA169 .B54 2000). 3. Marvin Rausand, Arnljot Hyland. (2004). System Reliability Theory: Models, Statistical Methods

and Application.2nd Ed. New Jersey: John Wiley (TA169 .R38 2004).

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4. Pham, Hoang. (2006). Reliability Modelling, Analysis and Optimization.Singapore: World Scientific (TA169 .P42 2006).

5. Frenkel,Llia B. (2013) Applied Reliability Engineering and Risk Analysis : Probabilistic Models And Statistical Inference 1st Edition. Wiley. (TA169.A66 2014)

BWB32203 Optimization & Operations Research Prerequisite Course(s): None Synopsis This course will provide an understanding of history and latest development of Operations Research (OR) tools and models. The students will be exposed to the process of system approach to design and development of OR models. The students will also be exposed to the formulation of requirements to data collection and software for forecasting, optimization and simulation of business processes. The course will focus on the use of tools and the development of models from case studies. References 1. Frederick Hillier S. and Lieberman, Gerald J. (2010). Introduction to Operations Research. 9th Ed.

Dubuque: McGraw-Hill (T57.6 .H54 2010). 2. Robert J. Vanderbei. (2008). Linear Programming: Foundations and Extensions. USA: Springer (T57.74 .V36 2008). 3. H.A. Taha. (2011). Operations Research - An Introduction. 9th Ed. Upper Saddle River: Pearson

(T57.6 .T33 2011). 4. Sharma, S. C. (2006). Introductory Operation Research. New Delhi: Discovery Publishing House

(T57.6 .S524 2006). 5. Ciriani, Tito A. (1999). Operational Research in Industry. West Lafayette: Ichor Business Books (HD30.25 .O63 1999). 6. Srinivasan, G. (2010). Operations Research: Principles and Applications. 2nd Ed. PHI Learning

(T57.6. S75 2010). BWB32402 Final Year Project I Prerequisite Course(s): None Synopsis This course is designed for students to learn on how to write a research proposal especially in statistics area. In the early stage, students and the supervisor will have a meeting on how to start the research project. The discussion will focus on identifying the research problem, objective of the study and research methodology. Supervisor as a mentor will give their advice on the research project through meeting and discussion. Students are exposed in writing out the proposal and present their proposal. References 1. Chuan Yan Piaw. (2006). Kaedah Penyelidikan. Malaysia: McGraw Hill (H62 .C48 2006). 2. Sulaiman Masri. (2003). Kaedah Penyelidikan dan Panduan: Penulisan (Esei, Proposal, Tesis).

Kuala Lumpur: Utusan Publication Distribution (PE1408 .S85 2003). 3. Yogesh Kumar Singh. (2005). Research Methodology. New Delhi: APH Publishing (H62 .S57

2005). 4. Ranjit Kumar. (2010). Research Methodology: A Step-By-Step Guide for Beginners. 3rd Ed.

London: Sage Publication (Q180.55.M4 .K85 2010). 5. John Keenan Taylor, Cheryl Cihon. (2004). Statistical Techniques for Data Analysis. 2nd Ed. UK: Chapman & Hall/CRC (QA276 .T39 2004).

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BWB23302 Special Topics and Current Issues Prerequisite Course(s): None Synopsis There is no specific syllabus for this course. Students are required to attend the seminar and talk that will be organized by the department. The seminar and talk will be based on the current topics and issues related to the statistics and technological fields. The seminar and talk will be conducted within 8 weeks of lectures. The invited guest speakers which represent the industry will deliver the talk on current topics and issues from mathematical point of views. BWB32104 Industrial Training Prerequisite Course(s): None Synopsis Students are required to undergo Industrial Training (LI) in selected local industries or government bodies for 10 weeks. At the end of their training, students are required to submit a written report on their work. The evaluation of the course is based on the Industrial Supervisor’s report, the Faculty Supervisor’s report, the student’s Log Book write-up and written report. BWB43303 Introduction to Data Mining Prerequisite Course(s):None Synopsis This subject will give introduction of the data mining and the explanations about all the methods that are used in data mining. The students will comes out with the knowledge of data mining, where to use the data mining and how we can applied the data mining. References 1. Bratko, I. (2001). PROLOG Programming for Artificial Intelligence. 3rd Ed. London: Addison

Wesley. (Q336 .B72 2001) 2. Gupta, G.K. (2011). Introduction to Data Mining with case studies. 2nd Ed. New Delhi: Prentice

Hall (QA76.9.D343.G86 2011) 3. Rich, E. & Knight, K. (2008). Artificial Intelligence. 3rd Ed. New York: McGraw Hill. (HD30.2 .R52

2008) 4. Turban, E. & Aronson, J. (2001). Decision Support Systems and Intelligent Systems. 6th Ed. New

Jersey: Prentice Hall. (HD 30.2 .T87 2001) 5. Luger, G. F. & Stubblefield, W.A. (2009). Artificial Intelligence: Structures and Strategies for

Complex Problem Solving. 6th Ed. Boston, MA: Pearson. (Q335 .L84 2009) BWB43403 Advanced Data Mining Prerequisite Course(s): None Synopsis This course provides detail explanation on data mining and machine learning, which include: classification, clustering, association rules and so on. Emphasis will be laid on performance and implementation issues, as well as on application such as web mining.

50

References 1. Bratko, I. (2001). PROLOG Programming for Artificial Intelligence. 3rd Ed. London: Addison

Wesley. (Q336 .B72 2001) 2. Shi, Zhongzhi. (2011). Advanced artificial intelligence. World Scientific. (QC335.A244 .S54 2011) 3. Rich, E. & Knight, K. (2008). Artificial Intelligence. 3rd Ed. New York: McGraw Hill. (HD30.2 .R52

2008) 4. Turban, E. & Aronson, J. (2001). Decision Support Systems and Intelligent Systems. 6th Ed. New Jersey: Prentice Hall. (HD 30.2 .T87 2001) 5. Luger, G. F. & Stubblefield, W.A. (2009). Artificial Intelligence: Structures and Strategies for

Complex Problem Solving. 6th Ed. Boston, MA: Pearson. (Q335 .L84 2009) BWB43603 Business Data Processing Prerequisite Course(s): None Synopsis This course introduces about the application on how to process the data from business environment. It also including on how to analyze the data by using the real data from business environment. References 1. Turban, E. & King, D. (2002). Introduction to E-commerce. New York: Prentice Hall. (HF5548.32

.T87 2003) 2. Deitel, H. M., Deitel, P. J. & Nieto, T. R. (2001). E-Business & E-Commerce –How to Program. New York: Prentice Hall. (QA76.625 .D45 2001 N1)

3. Deitel, H. M. & Deitel, P. J. (2007). Java How to Program. 7th Ed. New Jersey: Prentice Hall. (QA76.73.J38 .D44 2007)

4. Rayport, Jeffrey F. &Jaworski, Bernard J. (2004). Introduction to E-Commerce. 2nd Ed. Boston, MA: McGraw-Hill. (HF5548.32 .R39 2004) 5. Ratnasingam, Pauline. (2003). Inter-Organizational Trust in Business-to-Business E-Commerce. Hershey, PA: IRM Press. (HF5548.32 .R37 2003)

BWB43503 Network and Data Communication Prerequisite Course(s):None Synopsis This course provides an understanding on introduction to network and data communication. It also covers the concept of network terminology and the basic introduction of application on the internet networking. This course includes the knowledge to identify the network devices and the functions of the network References 1. Cisco Systems, Inc. (2005). Cisco Networking Academy Program: CCNA 1 and 2 Companion Guide. 3rd Ed. Indianapolis, IN: Cisco Press. (TK5105.5 .C576 2005) 2. Forouzan, B. A. &Fegan, Sophia Chung. (2007). Data Communications and Networking. 4th

Ed.Boston: McGraw-Hill. (TK5105 .F67 2007) 3. Stallings, W. (2007). Data and Computer Communications. 8th Ed. Upper Saddle River, NJ:

Pearson. (TK5105 .S73 2007) 4. Tanenbaum, A.S. (2003). Computer Networks. 4th Ed. New York: Prentice-Hall. (TK5105.5 .T36

2003) 5. Thurwachter, N. (2000). Data and Telecommunications: Systems and Application. New York:

Prentice Hall. (TK5105 .T48 2000)

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BWB43703 Performance Modeling of Communication Network Prerequisite Course(s):None Synopsis This course provides the concept of the performance modeling if the communication network by using some of the statistical methods to do a analysis. It also explains and apply some of the statistical analysis to formulate the Little’s Formula in queing models and network analysis. References 1. Thurwachter, N. (2000). Data and Telecommunications: Systems and Application. New York: Prentice Hall. (TK5105 .T48 2000) 2. Hayes, Jeremiah F. &Babu, Thimma V. J. Ganesh. (2004). Modeling and Analysis of

Telecommunications Networks. Hoboken. NJ: John Wiley. (TK5101 .H39 2004) 3. Evans, Sharon. (2003). Telecommunications Network Modelling, Planning and Design. London:

Institution of Electrical Engineers. (TK5101 .T46 2003) 4. Kasera, Sumit, Narang, Nishit & Narang Sumita. (2007).Communication Networks: Principles and Practice. New York: McGraw-Hill. (TK5105.5 .K37 2007) 5. Misic, Jelena B. & Misic, Vojislav B. (2006). Performance Modeling and Analysis of Bluetooth

Networks: Polling, Scheduling and Traffic Control. Boca Raton, FL: Auerbach Publications. (TJ5103.3 .M57 2006)

BWB44203 Industrial Production Costing Prerequisite Course(s): None Synopsis This course is designed for non-accounting major students who need to acquire basic understanding on production cost management. Topics covered includes the cost concept and definition, the importance of production cost planning and management, manufacturing cost statement, cost-volume-profit analysis, costing methods, cost allocation method, ABC costing, variance analysis and manufacturing performance reporting. References 1. Horngren, C.T. (2002). Accounting. 5th Ed. Prentice Hallc. (HF5635 .H675 2002) 2. Weygandt, J.J, Kieso, D.E, and Kimmel, P.D. (2010). Accounting Principles. 9th Ed. USA: John

Wiley & Sons Inc. (HF5635 .W49 2010) 3. Bendrey, M. (2003). Essentials of management accounting in business. Cambridge: Thomson.

(HF5657.4.B46 2003) 4. Williams, Jan. (2012). Financial and managerial accounting. 16th Ed. McGraw-Hill. (HF5635 .F59

2012) 5. Gitman, L.J. (2003). Principles of Managerial Finance. 10th Ed. Boston: Addison Wesley.

(HG4011 .G574 2003)

BWB44103 Logistics Management Prerequisite Course(s): None Synopsis This course is the part of supply chain management that plans, implements, and controls the efficient, effective forward and reverses flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customers’ requirements. This course provides a practical, management perspective of the following areas of logistics: distribution, transportation, international logistics, inventory control, sustainable logistics practices, key

52

performance indicators, supply chain finance, leadership in a supply chain role, and an introduction to logistics technology. References 1. Ailawadi, S.C. and Singh, R.P. (2012). Logistics Management. New Delhi : PHI Learning. (HD38.5

.A34 2012). 2. Grant, D.B. (2006). Fundamentals of Logistics Management. London: McGraw-Hill. (HD38.5 .F86

2006). 3. Ghiani, G. (2013). Introduction to Logistics Systems Management. Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd. (TS161.G44 2013).

4. Bowersox, D.J. and Closs, D.J. and Cooper, M.B. (2008). Supply Chain Logistics Management. Boston : McGraw-Hill. (HD38.5 .B68 2007).

5. Mitchell, W.J. (2003). Beyond productivity: information technology, innovation and creativity. National Academies Press. (T58.5 .B49 2003). 6. Krajewski, L.J. and Ritzman, L.P. (2002). Operations Management: Strategy and Analysis. 6th Ed.

Addison-Wesley. (TS155 .K73 2002).

BWB44003 Strategic Marketing Prerequisite Course(s): None Synopsis This course provides students with knowledge on introduction of marketing, marketing management, relationship with the organization's strategic planning, analysis of market opportunities, and designing a marketing strategy. Marketing decisions covers thetheory of brand and product line, pricing and marketing programs, manage and execute marketing programs. References 1. Craven, David W. (2009).Strategic Marketing.9thEd. New York: Irwin McGraw-Hill. (HF5415.135

.C72 2009) 2. Ferell, O.C. Hartline, Michael D., Lucas and George H., Jr. (2008).Marketing Strategy.4th Ed.

Mason: Thomson. (HF5415.13 .F47 2008) 3. Jain Subbash C. (2000). Marketing Planning & Strategy.6th Ed. Singapore: South-Western

College Publishing Thomson Learning. (HF5415.13 .J34 2000) 4. Kotler, Philip. (2001). Principles of marketing. 9th Ed. Prentice Hall Inc. (HF5415 .K67 2001) 5. Peter, J. Paul. (2010). Consumer Behavior and Marketing Strategy.McGraw-Hill Irwin. (HF5415.3

.P47 2010)

BWB43903 Risks Management Prerequisite Course(s): None Synopsis This course is an introduction to risk; terminology in risk management, processes of risk management risk management tools; manage the risk of type I; manage risk types II: Making decisions in managing risks; create useful information; retrospect the risk management process: discussion and case studies. References 1. Trieschmann, James S. (2001). Risk management and insurance. South-Western College.

(HG8051 .T74 2001 N1). 2. Doherty, N.A. (2000). Integrated Risk Management: Techniques and Strategies for Managing

Corporate Risk. New York: McGraw-Hill. (HD61 .D64 2000) 3. Jorion, P. (2003). Financial risk manager handbook. John Wiley. (HG4027.3 .J67 2003 r)

53

4. Institution of Civil Engineers and the Actuarial Profession (2005). RAMP: risk analysis and management for projects: A strategic framework for managing project risk and its financial implications. Thomas Telford. (HD49 .R35 2005)

5. Dorfman, Mark S. (2008). Introduction to risk management and insurance. Pearson. (HG8051 .D67 2008)

BWB43803 Strategic Management Prerequisite Course(s): None Synopsis This course integrates major aspects of business and managerial marketing, accounting, operations, individual and includes organizational behavior, information technology and finance within a strategic framework. Thus, students should be able to understand the key influences on the development of an organization’s strategy, analyze those influences, propose appropriate strategic behavior for an organization and demonstrate an understanding of the important of strategy in organization. References 1. David, F.R. (2011). Strategic Management: Concepts and Cases. 13th Ed. Upper Saddle River,

NJ: Prentice Hall. (HD30.28 .D38 2011) 2. Harrison, Jeffrey S. (2010). Foundations in strategic management. Cengage Learning. (HD30.28

.H375 2009) 3. Pitts, R.A. and Lei, D. (2006). Strategic Management: Building and Sustaining Competitive Advantages. 4th Ed. Australia: Thomson. (HD30.28 .P57 2006) 4. Witcher, Barry J. (2010). Strategic management: principles and practice. Cengage Learning.

(HD30.28 .W58 2010). 5. Hisrich, R.D. (2010). Entrepreneurship. 8th Ed. Pennsylvania: McGraw-Hill. (HD62.5 .H57 2010) BWB43103 Demography Analysis Prerequisite Course(s): None Synopsis This course introduces the basic techniques of demographic analysis. Students will become familiar with the sources of data available for demographic research. Population composition and change measures will be presented. Measures of level and pattern of mortality, fertility, marriage and migration levels will be defined. Life table, standardization and population projection techniques will also be explored. References 1. Wienke, Andreas. (2011). Frailty Models In Survival Analysis. Boca Raton, FL: Taylor & Francis

(QA280 .W53 2011). 2. Herve, L. B. (2008). The Nature of Demography. Princeton, NJ: Princeton University (HB849.4

.L42 2008). 3. Saw, S. H. (2005). Bibliography of Malaysian Demography. Singapore: Institute of Southeast Asian Studies (Z3264.D3 .S28 2005).

4. Nathan, K. (2005). Applied Mathematical Demography. New York: Springer (HB849.51 .K49 2005).

5. Jabatan Perangkaan malaysia. (2010). Ciri-ciri pendidikan dan sosial pendudukan : Education and social characteristics of the population. Kuala Lumpur : Jabatan Perangkaan Malaysia. (HA4600.6 .M63 2010 rw)

54

BWB43003 Epidemiology Prerequisite Course(s): None Synopsis Provide student of this study of the frequency, distribution, and determinants of disease in human populations. The mission of the Department is to provide rigorous training in the fundamentals and practice of epidemiology, to contribute to the understanding of the etiology and prevention of disease, and to improve the health of the public through excellence in researchDue to cause-and-effect relations are at the heart of epidemiologic research, this course will also introduce concepts of causal inference, threats to study validity, and multi-causality. References 1. Radhakrishna, C. R. (2008). Epidemiology and Medical Statistics. Amsterdam: Elsevier

(RA652.2.M3 .E64 2008). 2. Allan, J. S. (2002). Epidemiological Studies: A Practical Guide. Cambridge New York: Cambridge

University Press (RA652.4 .S54 2002). 3. Graham, Law (2011). Statistical Epidemiology. Cabi (XX 129532.1). 4. Jewell, Nicholas P. (2004). Statistics for Epidemiology. Boca Raton, FL: CRC Press (RA652.2.M3

.J49 2004). 5 Woodward, M. (Mark) (2014) Epidemiology: study design and data analysisCRC,Press

(RA652.2.M3W66 2014)

BWB42803 Longitudinal Data Analysis Prerequisite Course(s): None Synopsis Student will be able to learn parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines. References 1. Brunner, Edgar, Domhof, Sebastian & Langer, Frank. (2002). Nonparametric Analysis of

Longitudinal Data in Factorial Experiments. New York, NY: John Wiley. (QA278.8 .B78 2002) 2. Diggle, P. J., Liang, K Y. and Zeger, S. L. (2002). Analysis of Longitudinal Data. 2nd Ed. Oxford:

Oxford University Press. (QA278 .A52 2002) 3. Korosteleva, Olga, (2009). Clinical Statistics: Introducing Clinical Trials, Survival Analysis and

Longitudinal Data Analysis. Sudbury, MA: Jones and Bartlett. (R853.S7 .K67 2009) 4. Penn, Roger &Berridge, Damon, (2010). Social Statistics. Thousand Oaks: SAGE Publications.

(HM535 .S62 2010) 5. Hattie, John A. C. (2008). Visible Learning: A Synthesis of Meta-Analyses Relating To Achievement. New York: Routledge. (LB1060 .H37 2008) BWB43203 Medical Statistics Prerequisite Course(s): None Synopsis This course covers the introduction to medical statistics. The design of experiments, Comparing treatments, Random allocation; Sampling and observational studies, censuses, sampling, cross sectional studies, cohort studies; The analysis of cross-tabulations; Clinical measurement, Making

55

measurements, Repeatability and measurement error, Comparing two methods of measurement , Sensitivity and specificity, Normal range or reference interval; Mortality statistics and population structure; Mortality rates, Age standardization using the direct method, Age standardization by the indirect method; Multifactorial methods; Meta-analysis and publication bias. References 1. Bland, Martin. (2000). An Introduction To Medical Statistics. 3rd Ed. Oxford: Oxford University

Press. (RA409 .B52 2000) 2. Ying, Lu & Ji-Qian, Fang. (2003). Advanced Medical Statistics. River Edge, NJ: World Scientific. (RA409 .A39 2003)

3. Rao, C. Radhakrishna, Miller, J. Philip & Rao, D. C. (2008). Epidemiology and Medical Statistics. Amsterdam: Elsevier. (RA652.2.M3 .E64 2008)

4. Ji-Qian, Fang. (2005). Medical Statistics and Computer Experiments. New Jersey: World Scientific. (R853.S7 .M42 2005) 5. Lindsey, J. K. (2001). Nonlinear Models in Medical Statistics. Oxford: Oxford University. (RA409.5

.L56 2001) BWB42703 Statistical Modelling for Biology Prerequisite Course(s): None Synopsis This course presents in-depth regression analysis and related techniques. Both theoretical development and computational implementation of the modelling techniques will be presented. The topics includes simple and multiple linear regression; matrix representation of the regression model; the geometric approach to least squares theory; the ANOVA table (including nested and crossed models and multiple comparisons); GLM basics (including exponential families, link functions, likelihood, quasi-likelihood and conditional likelihood); Linear mixed model (LMM) basics (including variance components, prediction of random effects); various estimation techniques based on ANOVA; maximum likelihood and restricted maximum likelihood; design of experiments; factorial experiments; test of independence; introduction to biology modelling and disease modelling. References 1. Faraway, J.J. (2005). Linear Models With R. Boca Raton : Chapman and Hall. (QA279 .F37

2005). 2. Faraway, J.J. (2006). Extending The Linear Model with R : Generalized Linear, Mixed Effects and

non-parametric Regression Models. Boca Raton : Chapman & Hall / CRC. (QA279 .F374 2006). 3. Illian, J. (2008). Statistical Analysis and Modelling of Spatial Point Patterns. Hoboken, NJ : John

Wiley. (QA278.2 .S72 2008). 4. Fahrmeir, L. (2001). Multivariate Statistical Modelling Based on Generalized Linear Models. New York : Springer. (QA278 .F33 2001 N1). 5. Keppel, G. (2004). Design and Analysis : A reseacher’s Handbook. Upper Saddle River, NJ :

Pearson. (HA29 .K47 2004). 6. Ekstrom, C.T. (2011). Introduction to Statistical Data Analysis for The Life Sciences. Boca Raton :

CRC Press. (QA276 .E37 2011). BWB42903 SurvivalAnalysis Prerequisite Course(s): None Synopsis Provide the students about Introduction to survival analysis and Kaplan–Meier estimates of the survival function.These provide some statistical background for survival analysis for the interested reader (and for the author of the seminar!). Provided the reader has some background in surival

56

analysis, these sections are not necessary to understand how to run survival analysis in SAS. These may be either removed or expanded in the future References 1. Korosteleva, Olga. (2009). Clinical Statistics: Introducing Clinical Trials, Survival Analysis and

Longitudinal Data Analysis. Sudbury, MA: Jones and Bartlett. (R853.S7 .K67 2009) 2. Hosmer, D. W., Lemeshaw& May. (2008). Applied Survival Analysis: Regression Modelling of

Time to Event Data. 2nd Ed. Hoboken, NJ: John Wiley. (R853.S7 .H67 2008) 3. Smith, Peter J. (2002). Analysis of Failure and Survival Data. Boca Raton, FL: Chapman and Hall. (QA278.8 .S64 2002)

4. Wienke, Andreas. (2011). Frailty Models in Survival Analysis. Boca Raton, FL: Taylor & Francis. (QA280 .W53 2011)

5. Couallier, Vincent (2014) Statistical models and methods for reliability and survival analysis. Wiley,( R853. .S72 2013) BWB42604 Final Year Project II Prerequisite Course(s): None Synopsis This course is designed for students to learn how to prepare and discuss on literature review, research objectives, method of data collection and research methodology. Students are exposed to do data analysis, discuss the results and make conclusions from the findings. Students are compulsory to prepare undergraduate project report and presented orally to the department or panel committee. References 1. Chuan Yan Piaw. (2006). Kaedah Penyelidikan. Malaysia: McGraw Hill (H62 .C48 2006). 2. Sulaiman Masri. (2003). Kaedah Penyelidikan dan Panduan: Penulisan (Esei, Proposal, Tesis). Kuala Lumpur: Utusan Publication Distribution (PE1408 .S85 2003). 3. Yogesh Kumar Singh. (2005). Research Methodology. New Delhi: APH Publishing (H62 .S57

2005). 4. Ranjit Kumar. (2010). Research Methodology: A Step-By-Step Guide for Beginners. 3rd Ed.

London: Sage Publication (Q180.55.M4 .K85 2010). 6. John Keenan Taylor, Cheryl Cihon. (2004). Statistical Techniques for Data Analysis. 2nd Ed. UK:

Chapman & Hall/CRC (QA276 .T39 2004).

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Career and Further Education Prospect Statistician, Research Officer, Data Analyst Officer, Strategic Planning Officer, Quality Assurance Officer, Quality Control Officer, Statistical Consultant, Risk Management Officer, Academician, Entrepreneur. Career as Statistician: Statisticians provide crucial guidance in determining what information is reliable and which predictions can be trusted. They often help search for clues to the solution of a scientific mystery and sometimes keep investigators from being misled by false impressions.

In a typical day, a statistician will:

Use data to solve problems in a wide variety of fields Apply mathematical and statistical knowledge to social, economic, medical, political, and

ecological problems Work individually and/or as part of an interdisciplinary team Travel to consult with other professionals or attend conferences, seminars, and continuing

education activities Advance the frontiers of statistics, mathematics, and probability through education and research Employment opportunities are available in a multitude of areas, providing statisticians with professional flexibility; exciting opportunities; and rewarding, challenging, and lucrative careers. There are several working fields as a statistician as below: Health and Medicine: Animal Health, Biostatistics, Clinical Trials, Epidemiology, Genetics, Pharmacology, Public Health Business and Industry: Agriculture, Chemistry, Computer Science, Economics, Engineering, Finance, Insurance, Manufacturing, Marketing, Quality Improvement, Reliability Government: Bureau of Justice Statistics, Census, Ecology, Forestry, Government Regulation, Law, National Defense, Population Research, Risk Assessment, Surveys

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Further Education Pathway

BACHELOR OF COMPUTER SCIENCE (SOFTWARE ENGINEERING) WITH HONOURS

MASTER OF COMPUTER SCIENCE (SOFTWARE ENGINEERING)

MASTER OF INFORMATION TECHNOLOGY

DOCTOR OF PHILOSOPHY (INFORMATION TECHNOLOGY)

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Source: Malaysian Qualification Framework

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Centre for Academic Development and Training Universiti Tun Hussein Onn Malaysia 86400 Batu Pahat, Johor Darul Ta’zim