IEM Courses Offered in Academic Year 2017-2018

Course Code & Title IM1001 – DATA STRUCTURES AND ALGORITHMS

Study Year 1;2
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Huang Guangbin (Semester 1) ; Assoc Prof Low Chor Ping (Semester 2)
Learning Objective This course aims to give a systematic introduction to data structures and algorithms for constructing efficient
computer programs. Emphasis is on data abstraction issues in program development process, and on the design of
efficient algorithms. Simple algorithmic paradigms such as greedy algorithms, divide-and-conquer algorithms and
dynamic programming will be introduced. Elementary analyses of algorithmic complexities will also be taught.
Course Contents Introduction. Principles of algorithm analysis. Data structures. Searching. Search Trees, Sorting. Algorithm design
techniques.
Prerequisite Nil
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (6)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quiz; Homework Assignments; Practical Works
Written Examination (60%)
Textbook(s) • Huang Guangbin and Ng Jim Mee, Data Structures and Algorithms, Pearson Education, 2007.
(QA76.9.D35D232DS)
Reference(s) • Johnsonbaugh Richard and Schaefer Marcus, Algorithms, Pearson Education, 2004. (QA76.9.A43J65)
• Levitin Anany, Introduction to the Design & Analysis of Algorithms, 3rd Edition, 2012. (QA76.9.A43L666 2012)
• Michael Goodrich and Robert Tamassia, Algorithm Design: Foundations, Analysis, & Internet Examples, 2002.
(QA76.9.A43G655)

Course Code & Title IM1002 – ANALOG ELECTRONICS

Study Year 1;2
Availability Semester 2
Coordinator(s) Assoc Prof Khong W H, Andy
Learning Objective This course focuses on the fundamentals of circuit theorems, analysis of resistive networks, transient and steady-state
responses, Laplace transforms. The second part of this course focuses on electronic devices including Op-Amps, Bi-
polar transistors and MOSFETS.
Course Contents Introduction. Circuit Analysis. Application of Laplace Transforms of Circuit Analysis. Op-Amps and Diodes. BJTs and
MOSFETs. Small Signal Amplifiers.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12); Laboratories (6)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quiz; Homework Assignments; Practical Work
Written Examination (60%)
Textbook(s) • Hayt William Hart, Kemmerly Jack E and Durbin Steven M, Engineering Circuit Analysis, McGraw Hill, 8th Edition,
2012. (TK454.H426 2012)
• Jaeger Richard C and Blalock Travis N, Microelectronic Circuit Design, 4th Edition, McGraw Hill, 2011.
(TK7874.J22M 2011
Reference(s) • Nilsson James William and Riedel Susan A, Electric Circuits, Pearson/Prentice Hall, 10th Edition, 2011
• Razavi Behzad, Fundamentals of Microelectronics, 2nd Edition, John Wiley, 2014. (TK7874.R278F 2014)

Course Code & Title IM1003 – OBJECT-ORIENTED PROGRAMMING

Study Year 1;2
Availability Semester 2
Coordinator(s) Assoc Prof Chua Hock Chuan
Learning Objective The objectives of this course are to equip students with: 1) the knowledge of object-oriented programming concepts;
2) skills of solving software problems with the use of object-oriented programming language.
Course Contents Programming Fundamentals. Object-Oriented Concepts and Programming. Graphical user interface programming.
Applications.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
 Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quiz; Homework Assignments
Written Examination (60%)
Textbook(s) • Liang Y Daniel, Introduction to Java Programming: Comprehensive Version, 11th Edition Pearson/Prentice Hall,
2017.
Reference(s) • Deitel Paul J and Deitel Harvey M, Java how to program late objects, Version 11th Edition, Prentice Hall, 2017.

Course Code & Title IM1004 – DIGITAL ELECTRONICS

Study Year 1
Availability Semester 1
Coordinator(s) Assoc Prof Lim Meng Hiot (Semester 1)
Learning Objective This course serves as a foundation course on digital electronics. It covers a broad range of fundamental digital circuits.
The concepts of digital signals, number systems, logic gates, switching algebra and logic minimization techniques,
basic combinatorial and digital circuits and their application in more complex digital systems are to be imparted to
the students.
Course Contents Digital Fundamentals. Digital Circuits; Combinational Logic Principles. Combinational Logic Circuits. Sequential Logic
Principles. Sequential Logic Circuits. Memory, CPLDs, and FPGAs.
Prerequisite Nil
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (9)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignments/Tests; Practical Work
Written Examination (60%)
Textbook(s) • Wakerly John F, Digital Design: Principles and Practices, 4th Edition, Pearson Prentice-Hall, 2006. (TK7874.W149
2006)
Reference(s) • Roth Charles H and Kinney Larry L, Fundamentals of Logic Design, 7th Edition, Cengage Learning, 2014.
(TK7868.L6R845 2014)
• Marcovitz Alan B, Introduction to logic design, 3rd Edition, McGraw-Hill, 2010. (TK7868.L6M321 2010)
• Mano M Morris and Ciletti Michael D, Digital Design: With a Introduction to the Verilog HDL, 5th Edition, Pearson
Prentice Hall, 2013. (TK7888.3.M285 2013)

Course Code & Title IM2001 – SOFTWARE ENGINEERING

Study Year 2
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Chen Lihui
Learning Objective The objective of this course is to provide students with an understanding of the essential software engineering body
of knowledge.
Course Contents Introduction to software engineering. Software project management. Software requirements and specifications.
Software design. Software testing and maintenance.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignments
Written Examination (60%)
Reference(s) • Sommerville Ian, Software Engineering, 9th Edition, Addison-Wesley, 2011. (QA76.758.S697 2011)
• Pressman Roger S, Software Engineering: A Practitioner's Approach, 8th Edition, McGraw-Hill, 2014.
• Pezze Mauro, and Young Michal, Software Testing and Analysis: Process, Principles and Techniques, Wiley, 2008.
(QA76.76.T48P522)
• Bob Hughes and Mike Cotterell, Software Project Management, 5th Edition, McGraw-Hill, 2009.
• Pressman Roger S and Lowe David, Web Engineering: A Practitioner's Approach, McGraw-Hill, 2009.
(TK5105.88813.P935)

Course Code & Title IM2002 - MICROPROCESSORS

Study Year 2
Availability Semester 1
Coordinator(s) Dr Chan Chee Keong
Learning Objective This is an introductory course about the fundamentals of ARM microprocessors. It covers the ARM architecture,
hardware interface, software programming in assembly language as well as C language. It will also introduce students
to the system-on-chip concept and the use of ARM as a microcontroller.
Course Contents Introduction to ARM core and programmer’s model. Assembler Directives. Loads, Stores and Addressing. Logic and
Arithmetic. Flow control instructions. Subroutines, Stacks and Exception Handling. Thumb Instructions and C
language. Peripherals Interfacing.
Prerequisite Nil
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (6)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quizzes; Practical Works
Written Examination (60%)
Textbook(s) • Hohl William, Christopher Hinds, ARM Assembly Language: Fundamentals and Techniques, 2nd edition, CRC
Press, 2014.
Reference(s) • Lewis Daniel Wesley, Fundamentals of Embedded Software: with the ARM Cortex-M3, 2nd Edition, Prentice Hall,
2013. (TK7895.E42L673 2013)
• Sloss Andrew N, Symes Dominic and Wright Chris, ARM System Developer’s Guide: Designing and Optimizing
System Software, Elsevier / Morgan Kaufmann. 2004. (QA76.76.D47S634)
• Patterson David A and Hennessy John L, Computer Organization and Design: The Hardware/Software Interface,
(ARM edition), 5th Edition, Morgan Kaufmann, 2014. (QA76.9.C643P317 2014)

Course Code & Title IM2003 – COMPUTER COMMUNICATIONS

Study Year 3
Availability Semester 1 ; Semester 2
Coordinator(s) Dr Shao Xuguang, Michelle
Learning Objective The course is intended to provide students with the fundamental concepts in computer communications, proceeding
from data communications over a data link to transfer of information across local-area networks and wide-area
networks.
Course Contents Introduction to computer communications. Data Communications Fundamentals. Data Link Control. Local Area
Networks. Internetworking.
Prerequisite Nil
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (3)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Individual Assignment; Participation
Written Examination (60%)
Reference(s) • Leon-Garcia Alberto and Widjaja Indra, Communication Networks: Fundamental Concepts and Key Architectures,
2nd Edition, McGraw-Hill, 2004. (TK5101.L579 2004)
• Kurose James F and Ross Keith W, Computer Networking: A Top-Down Approach, 6th Edition, Pearson, 2013.
(TK5105.875.I57K96 2013)
• Stallings William, Data and Computer Communications, 10th Edition, Pearson/Prentice-Hall, 2014. (TK5105.S782
2014

Course Code & Title IM2004 – SIGNALS AND SYSTEMS

Study Year 2
Availability Semester 2
Coordinator(s) Assoc Prof Teh Kah Chan (Semester 2)
Learning Objective Signals and Systems provides basic concepts of signals, Fourier analysis, and linear time invariant systems in a generic
engineering context with applications in control engineering, communications and signal processing. This course
brings continuous-time and discrete-time concepts together in a unified way and relates them through sampling
theory.
Course Contents Signals and Systems. Linear Time-Invariant Systems. Fourier Representation of Signals and LTI Systems. Sampling.
Modulation.
Prerequisites (MH1810 Mathematics I & MH1811 Mathematics II) or MH2810 Mathematics A
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (6)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quizzes; Homework Assignments; Practical Works
Written Examination (60%)
Textbook(s) • M. J. Roberts, Fundamentals of Signals and Systems, McGraw-Hill, International Edition, 2008. (TK5102.9.R646F)
 Reference(s) • Oppenheim Alan V, Willsky Alan S and Nawab Syed Hamid, Signals and Systems, 2nd Edition, Prentice-Hall, 1997.
(QA402.P62 1997)
• Haykin Simon S and Van Veen Barry, Signals and Systems, Wiley, 2nd Edition, 2003. (TK5102.5.H419)
• Mandal Mrinal Kr and Asif Amir, Continuous and Discrete Time Signals and Systems, 1st Edition, Cambridge
University Pres, 2007. (QA402.M271)
• Hwei Hsu, Schaums Outlines Signals and Systems, 3rd Edition, McGraw Hill, 2013.

Course Code & Title IM2006 – ENGINEERING MATHEMATICS I

Study Year 2
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Wong Jia Yiing, Patricia (Semester 1) ; Assoc Prof Teoh Eam Khwang (Semester 2)
Learning Objective Mathematics plays a fundamental role in understanding the working of engineering systems. The purpose of the
course is to serve as a baseline course for all future engineering subjects. The objectives include equipping students
with: (a) basic understanding of topics related to engineering mathematics like Fourier series, Fourier and Laplace
transforms, partial differential equations, numerical methods, probability and mathematical statistics; (b) skills and
techniques for solving these problems.
Course Contents Fourier Analysis. Laplace Transform. Partial Differential Equations. Numerical Methods. Probability. Mathematical
Statistics.
Prerequisite MH1811 Mathematics 2 or MH2810 Mathematics A
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quizzes; Homework Assignments
Written Examination (60%)
Textbook(s) • Kreyszig Erwin, Herbert Kreyszig and Nominton E J, Advanced Engineering Mathematics, 10th Edition, John Wiley,
2011. (QA401.K92 2011)
• Johnson Richard Arnold and Bhattacharyya Gouri K, Statistics: Principles and Methods, 6th Edition, John Wiley,
2010. (QA276.12.J68 2010)
• Patricia J. Y. Wong and Sundararajan N., Engineering Mathematics, McGraw-Hill, 2010.
Reference(s) • O'Neil Peter V, Advanced Engineering Mathematics, 7th Edition, Cengage Learning, c2012. (TA330.N58 2012)
• James Glyn, Advanced Modern Engineering Mathematics, 4th Edition, Pearson, 2011. (TA330.A244 2011)
• Milton J Susan and Arnold Jesse C, Introduction to Probability and Statistics: Principles and Applications for
Engineering and the Computing Sciences, 4th Edition, McGraw-Hill, 2003. (TA330.M662 2003)
• Singh Ravish R and Bhatt Mukul, Engineering Mathematics, McGraw Hill, 2010. (TA333.S617)

Course Code & Title IM2007 – ENGINEERING MATHEMATICS II

Study Year 2
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Ling Keck Voon (Semester 1) ; Assoc Prof Chua Chin Seng (Semester 2)
Learning Objective Mathematics plays a fundamental role in understanding the working of engineering systems. The purpose of the
course is to serve as a baseline course for all future engineering subjects. The objectives include equipping students
with: 1) Basic understanding of topics related to engineering mathematics like linear algebra, complex variables and
vector differential and integral calculus; 2) Skills and techniques for solving these problems.
Course Contents Linear Algebra. Complex Variables. Vector Differential Calculus. Vector Integral Calculus.
Prerequisite MH1811 Mathematics 2 or MH2810 Mathematics A
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24)
Academic Units 4
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignment; Class Participation
Written Examination (60%)
Textbook(s) • Kreyszig Erwin, Herbert Kreyszig and Nominton E J, Advanced Engineering Mathematics, 10th Edition, John Wiley,
2011. (QA401.K92 2011)
Reference(s) • DeGranza and Gagliardi, Introduction to Linear Algebra with Applications, McGraw-Hill, 2009. (QA184.2.D316)
• David C. Lay, Steven R. Lay and Judi J. McDonald, Linear Algebra and its Applications, 5th Ed. Person, 2015.

Course Code & Title IM2073 – INTRODUCTION TO DESIGN & PROJECT

Study Year 2
Availability Semester 2
 Coordinator(s) Assoc Prof Chua Hock Chuan
Learning Objective To inspire students' interest in learning through active participations in the practice‐oriented course on the solutions
of typical engineering and IT system design and implementation problems.
Course Contents The practice‐oriented course consists of project modules that require students to design and implement state‐of‐
the‐art systems in the areas of Information Engineering and Media.
Prerequisite Nil
Contact Hours Lectures (6); Laboratories (33)
Academic Units 2
Assessment Modes Continuous Assessment (100%) – Practical Works

Course Code & Title IM3001 – DIGITAL SIGNAL PROCESSING

Study Year 3
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Makur, Anamitra (Semester 1) ; Assoc Prof Marziliano, Pina (Semester 2)
Learning Objective Digital signal processing (DSP) is concerned with the numerical manipulation of discrete signals/data. It has become
an essential tool to many engineering and scientific areas, such as multimedia computing (for speech, audio, image,
and video) and digital communications, for example. This course is designed to provide students the fundamentals of
discrete-time signals, signal transforms, and digital filter design.
Course Contents Introduction. Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Z-Transform. Digital Filter Design.
Prerequisite IM2004 Signals and Systems
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (3)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignment; Practical work
Written Examination (60%)
Textbook(s) • Oppenheim Alan V, Schafer Ronald W and Buck John R, Discrete-Time Signal Processing, 3rd Edition, Pearson
Education, 2009.
• Prandoni Paolo and Vetterli Martin, Signal Processing for Communication, 1st Edition, EPFL Press.
(TK5102.9.P899) (Download here http://www.sp4comm.org/webversion.html)
Reference(s) • Mitra Sanjit K, Digital Signal Processing: A Computer Based Approach, 4th Edition, McGraw-Hill, 2011.
(TK5102.9.M684 2011)

Course Code & Title IM3002 – COMMUNICATION PRINCIPLES

Study Year 3
Availability Semester 1 ; Semester 2
Coordinator(s) Assoc Prof Erry Gunawan
Learning Objective This course is intended to introduce to the students: 1) The essential approaches, the fundamental concepts and the
design issues that are involved in communication engineering. The course emphasises the understanding of
engineering principles. 2) Basic concepts of modulation techniques including amplitude modulation (AM), frequency
modulation (FM) and phase modulation (PM) that are widely used in analogue communication systems, and basic
techniques for analysing such systems in the time and frequency domains. 3) Basic concepts of a digital
communication system including sampling theorem, pulse code modulation (PCM) and principles of digital data
transmission, and basic techniques for analysing such systems in the time and frequency domains.
Course Contents Review of signal analysis and noise representations. Linear modulation. Frequency and phase modulation. Digital
communication principles.
Prerequisite IM2004 Signals and Systems
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24); Laboratories (3)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Participation; Practical Work
Written Examination (60%)
Textbook(s) • Couch Leon W, Digital and Analog Communication Systems, 8th Edition, Pearson, 2013. (TK5101.C853 2013)
Reference(s) • Proakis John G and Salehi Masoud, Communication Systems Engineering, 2nd Edition, Prentice-Hall, 2002.
(TK5101.P962 2002)
• Lathi Bhagwandas Pannalal, Modern Digital and Analog Communication Systems, 4th Edition, Oxford University
Press, 2009. (TK5101.L352 2009)
• Haykin Simon S and Moher Michael, Communication Systems, 5th Edition, John Wiley, 2010. (TK5101.H419 2010)
Course Code & Title IM3003 – INFORMATION SECURITY
Study Year 3
Availability Semester 1
Coordinator(s) Assoc Prof Mohammed Yakoob Siyal
Learning Objective This subject intends to provide students with essential concepts of information security, cryptography, secure
protocols, detection and other security techniques.
Course Contents Introduction. Secret / public-key cryptosystems. Secure protocols. Electronic election and digital money. Intrusion
detection, social networks and cyber security.
Prerequisite Nil
Contact Hours Lectures (Online); Interactive Tutorial Sessions (24)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignments
Written Examination (60%)
Textbook(s) • Stallings William, Cryptography and Network Security: Principles and Practice, 7th Edition, Pearson/Prentice-
Hall, 2017.
Reference(s) • Michael Goodrichand Roberto Tamassia, Introduction to Computer Security, Pearson Education, 2014.
• William (Chuck) Easttom II, Computer Security Fundamentals, Pearson Education, 2016.

Course Code & Title IM3080 – DESIGN AND INNOVATIVE PROJECT

Study Year 3
Availability Semester 1
Coordinator(s) Assoc Prof Chua Hock Chuan
Learning Objective The main objectives of the Design and Innovative Project are to introduce students to electrical and electronic
engineering projects, provide with students an opportunity to exercise their creative and innovative qualities in a
group project environment and excite the imagination of aspiring engineers, innovators and technopreneurs.
Course Contents Project Proposal, Lectures on Project Management, Project Implementation, Project Report, Oral Presentation, Design
and Innovation Competition.
Prerequisite Nil
Contact Hours Lectures (6); Project Work (78)
Academic Units 2
Assessment Modes Continuous Assessment (100%) – Assessments by Supervisor and Moderator

Course Code & Title IM0040 – ENGINEERS AND SOCIETY

Study Year 4
Availability Semester 1 ; Semester 2
Coordinator(s) Dr Ng, Jessica
Learning Objective To teach the social, economic, historical and political environment that the engineering profession operates in and
the current issues relevant to them. The students also present and discuss these issues during tutorials and participate
in community projects.
Course Contents The course comprises 4 main topics: Evolution of Modern Singapore; Technology & Society; Ethics and Professionalism
and The Environment. The students are made aware of “Current Issues” at the time of their study.
Prerequisite Students must be in their final year of studies.
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (50%)
Written Examination (50%)
Reference(s) • Kwa Chong Guan, Derek Heng & Tan Tai Yong, Singapore: A Seven-Hundred Year History, (Singapore: National
Heritage Board, National Archives of Singapore, 2009).
• Singapore: Journey Into Nationhood, National Heritage Board: Landmark Books, 1998. (DS610.4.S617j)
• Lee Kuan Yew, From Third World to First. The Singapore Story: 1965:2000, Memoirs of Lee Kuan Yew, Times
Editions, 2000. (DS598.S7L478f)
• Plagiarism 2.0 [videorecording]: Information Ethics in the Digital Age, Fabian and Rhonda. (PN167.P698 – BUSL)
(H587897 – BUSLAVRES)
• Jessica Lim, Editor, Engineering Ethics, Pearson South Asia Pte Ltd, 2016.
• Fleddermann, Charles: Engineering Ethics, Pearson, 4th Edition, 2012. (TA157.F525)
Course Code & Title IM4080 – FINAL YEAR PROJECT
Study Year 4
Availability One-Year Course (Students can start their project either in Semester 1 or 2.)
Coordinator(s) Assoc Prof Shen Zhongxiang
Learning Objective The main objective of the Final Year Project is to provide a platform for students to demonstrate their ability to apply
their knowledge and skills gained from coursework studies and practicum work. This course helps the students to gain
confidence and experience in tackling project work independently which should contribute to their effective
transition to the job market upon graduation.
Course Contents Projects may include, but are not limited to, one or more of the following areas: Design, Product development,
Software development, Laboratory investigation, Computing and analysis, Field testing and instrumentation and
Feasibility studies. Besides project proposals generated by its own academic staff, the School also works with outside
partners including the A*STAR Research Institutes and industrial companies to propose relevant projects.
The requirements are specified under the scope and objective of each project. Students are allocated 9 hours per week
for the project, spread over two semesters. Their time table includes 3 sessions per week, each session being 3 hours
long. In practice, the students spend more time than this and may be allowed to use any free time slots.
Prerequisite Refer to Final Year Project website
Contact Hours Project Work (78)
Academic Units 8
Assessment Modes Continuous Assessment (100%) - Project Assessments

Course Code & Title IM4105 – CELLULAR COMMUNICATION SYSTEM DESIGN

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Soong Boon Hee
Learning Objective This course aims to provide students with basic understanding of: 1) Principles involved in the design and
implementation of mobile cellular systems; 2) Concepts and principles of digital signal processing techniques with
emphasis on communication systems; and 3) DSP concepts through lab demonstrations and design examples by using
a general purpose mathematical package such as MATLAB to design and simulate communication signal processing
systems.
Course Contents The students will be involved in the planning and design of cellular and wireless personal communication systems at
the system level. Issues such as the choice of modulation and channel coding schemes as well as multiple access
methods will be dealt with. Fundamentals of digital signal processing will be briefly introduced. DSP techniques used
in the design of baseband digital signal transmission and reception will be covered. Carrier-modulated signals, such
as AM, QAM and PSK signals, used for transmission through band-pass channels will be discussed. Channel equaliser
design for compensation of channel distortions and inter-symbol interference (ISI) will be dealt with.
Prerequisite Nil
Contact Hours Lectures (13); Practical Sessions (26)
Academic Units 2
Assessment Modes Continuous Assessment (50%) – Assignments
Written Examination (50%)
Reference(s) • Karim M R and Saraf Moshen, W-CDMA and CDMA2000 for 3G Mobile Networks, McGraw Hill, 2002.
(TK5103.452.K18)
• Rappaport Theodore S, Wireless Communications: Principles and Practice, 2nd Edition, Prentice-Hall, 2002.
(TK5103.2.R221 2002)
• Proakis John G, Salehi Masoud and Bauch Gerhard, Modern Communication Systems Using MATLAB, 3rd Edition,
Cengage Learning, 2013. (TK5105.P962m)
• Proakis John G and Manolakis Dimitris G, Digital Signal Processing: Principles, Algorithms and Applications, 4th
Edition, Pearson Prentice-Hall, 2007. (TK5102.9.P932)
• D. Agrawal and Q. A. Zeng, An Introduction to Wireless and Mobile Systems, 4th Edition, Cengage Learning, 2016.
(TK5103.2.A277 2016)
• Harri Holma and Antti Toskala, LTE for UMTS: Evolution to LTE-Advanced, 2nd Edition, Wiley, 2011.
(TK5103.4883.L925u)

Course Code & Title IM4152 – DIGITAL COMMUNICATIONS

Study Year 4
Availability Semester 1
 Coordinator(s) Assoc Prof Li Kwok Hung
Learning Objective The aim is to provide students with a good understanding of digital communications principles and digital techniques
required in the rapidly expanding field of digital signal transmission and modulation in communication systems.
Course Contents Digital communication principles. Information theory. Error correcting codes. Optimum signal detection.
Prerequisite IM3002 Communication Principles
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Homework Assignment; Project Report
Written Examination (60%)
Textbook(s) • B P Lathi and Z. Ding, Modern Digital and Analog Communication Systems, 4th Edition, Oxford University Press,
2009. (TK5101.L352 2009)
Reference(s) • S. Haykin and K. Moher, Communication Systems, 5th Edition, John Wiley, 2010. (TK5101.H419 2010)
• J. G. Proakis and M. Salehi, Communication Systems Engineering, 2nd Edition, Prentice-Hall, 2002. (TK5101.P962
2002)

Course Code & Title IM4153 – TELELCOMMUNICATION SYSTEMS

Study Year 4
Availability Semester 2
Coordinator(s) Prof Zhong Wende
Learning Objective To provide the students with the basic understanding of the principles involved in the design and implementation of
optical fibre communication systems, transmission principles, LOS and satellite communication systems, public
switched telephone networks, teletraffic theory, digital transmission system standards (PDH and SDH), network
planning and principle of digital switching systems.
Course Contents Telecommunication Networks. Switching and Signalling. Line Transmission. Microwave Communication Systems.
Optical Fibre Communication Systems and Applications.
Prerequisite IM3002 Communication Principles
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Homework Assignments
Written Examination (60%)
Textbook(s) • Flood John Edward, Telecommunications Switching, Traffic and Networks, Prentice-Hall, 1995. (reprinted 1999).
(TK5103.F631)
• Tomasi Wayne, Electronic Communications System: Fundamentals Through Advanced, 5th Edition, Pearson
Prentice-Hall, 2004. (TK5101.T655E 2004)
Reference(s) • Keiser Gerd, Optical Fiber Communications, 4th Edition, McGraw Hill, 2011. (TK5103.59.K27 2011)
• Beasley Jeffrey S and Miller Gray M, Modern Electronic Communication, 9th Edition, Pearson/Prentice-Hall, 2008.
(TK5101.M648 2008)
• Roger L. Freeman, Telecommunication System Engineering, 4th Edition, Wiley-Interscience, 2004, TK5103.F855
2004. (also e-book)

Course Code & Title IM4188 – WIRELESS COMMUNICATIONS

Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Soong Boon Hee
Learning Objective This course is intended to introduce to students: 1) The basics of wireless systems – concepts, theory, limitation and
costs of systems mainly for VHF and above. 2) Various multiple access techniques and the cellular concept as well as
some 2G and 3G systems.
Course Contents Types of wireless systems. Radio frequency spectrum. Performance calculations. Cellular radio systems.
Prerequisite IM3002 Communication Principles
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Homework Assignment; Class Participation
Written Examination (60%)
Textbook(s) • Agrawal Dharma Prakash and Zeng Qing-An, Introduction to Wireless and Mobile Systems, 4th Edition, Cengage
Learning, 2016. (TK5103.2.A277 2016)
• Beard Cory and William Stallings, Wireless Communications Networks and Systems, Prentice Hall, 2015.
 Reference(s) • Freeman Roger L, Radio System Design for Telecommunications, 3rd Edition, IEEE/Wiley-Interscience, 2007.
(TK6553.F855 2007)
• Simon R. Saunders, and Alejandro Aragon-Zavala, Antennas and Propagation for Wireless Communication
Systems, 2nd Edition, John Wiley, 2007. (TK7871.6.S257 2007)
• Rappaport Theodore S, Wireless Communications: Principles and Practice, 2nd Edition, Prentice-Hall, 2002.
(TK5103.2.R221 2002)
• Andreas F. Molisch, Wireless Communications, 2nd Edition, John Wiley & Sons, 2011. (TK5103.2.M724 2011)

Course Code & Title IM4413 – DSP SYSTEM DESIGN

Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Ng Boon Poh
Learning Objective 1. To understand the key theoretical principles underpinning DSP in a design procedure through design examples and
case studies. 2. To learn how to use a powerful general-purpose mathematical package such as MATLAB to design
and simulate a DSP systems. 3. To understand the architecture of a digital signal processor and some programming
issues in fixed-point digital signal processor in real-time implementation. 4. To learn to design a real-time signal
processing algorithms using the latest fixed-point processor.
Course Contents This subject introduces the basic rules, procedures, techniques and components for designing a DSP system. The
subject also includes an assignment for the students to apply the knowledge and techniques learnt. DSP Architectures,
Addressing Mode, DSP fixed-point programming style, real-time implementation issues, DSP integrated development
environment.
Prerequisite Nil
Contact Hours Lectures (13); Design Sessions (26)
Academic Units 2
Assessment Modes Continuous Assessment (50%) – Designs; Assignments
Written Examination (50%)
Reference(s) • Mitra, Sanjit K, Digital Signal Processing: A Computer Based Approach, 4th Edition, McGraw-Hill, 2011.
(TK5102.9.M684 2011)
• Proakis John G and Manolakis Dimitris G, Digital Signal Processing: Principles, Algorithms and Applications, 4th
Edition, Prentice-Hall, 2006.
• Kuo Sen M, Lee Bob H and Tian Wenshun, Real-Time Digital Signal Processing: Fundamentals, implementations
and applications, 3rd edition, John Wiley, 2013. (TK5102.9.K96R 2013)
• Oppenheim Alan V, Schafer Ronald W, and Buck John R, Discrete-Time Signal Processing, 3rd Edition, Prentice-
Hall, 2009.
• T.B. Welsh, H.G. Cameron and M.G. Morrow, Real-Time Digital Signal Processing from MATLAB to C with the
TMS320C6x DSPs, Second Edition, Taylor and Francis, 2011.

Course Code & Title IM4455 – EMBEDDED SYSTEMS

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Gan Woon Seng
Learning Objective This course is structured to combine lectures, insightful demonstrations, case studies and tutorials for the students to
gain an in-depth understanding of fundamental concepts on embedded systems. Several portable embedded media
applications such as MP3 player, digital camera and digital video streaming will be showcased to tie the basic concepts
together into coherent entities.
Course Contents Introduction to Embedded System and Embedded Processors. Hardware of embedded systems. Software of
embedded systems. Real-Time Embedded System. Embedded Media Processing Components Design. Standards.
Prerequisite IM2002 Microprocessors
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quiz; Assignment; Class Participation
Written Examination (60%)
Textbook(s) • Marilyn Wolf, Computers as Components: Principles of Embedded Computing System Design, 3rd Edition,
Morgan Kaufmann, 2012. (QA76.9.S88W855 2012)
• Gan Woon-Seng and Kuo Sen M, Embedded Signal Processing with the Micro Signal Architecture, Wiley-
Interscience, 2007. (TK5102.9.G195)
Reference(s) • Katz David J and Gentile Rick, Embedded Media Processing, Elsevier/Newnes, 2006. (TK5102.9.K19)
 • Noergaard Tammy, Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers,
2nd Edition, Elsevier/Newnes, 2013. (TK7895.E42N769 2013)
• Wolf Wayne Hendrix, Computers as Components: Principles of Embedded Computing System Design, 3rd Edition,
Morgan Kaufmann, 2012. (QA76.9.S88W855 2012)
• Kuo Sen M and Gan Woon-Seng, Digital Signal Processors: Architectures, Implementations and Applications,
Pearson Prentice Hall, 2005. (TK5102.9.K96)
• High Performance EMbedded Computing: 2nd Ed by Marilyn Wolf, Publisher: Morgan Kaufman, 2014.

Course Code & Title IM4475 – AUDIO SIGNAL PROCESSING

Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Bi Guoan
Learning Objective The objective of this “Audio Signal Processing” course is to provide students with fundamental knowledge about
various signal processing techniques applied to digital audio signals. All of these are essential to the understanding
of the function of present day digital audio processing systems and form a strong foundation of the learning of newly
developed digital devices/systems with applications to audio signals. Thus this course serves as an introductory course
to other more advanced digital audio signal processing.
Course Contents Fundamentals of Human Hearing. Room Acoustics. 3-D Sound Synthesis. Sound Compression.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignments; Class Participation
Written Examination (60%)
Textbook(s) 1. Bosi Marina and Goldberg Richard E, Introduction to Digital Audio Coding and Standards, Kluwer Academic,
2003. (TK7881.4.B743)
2. Kuo Sen M and Gan Woon-Seng, Digital Signal Processors: Architectures, Implementations and Applications,
Pearson Prentice-Hall, 2005. (TK5102.9.K96)
• Gardner William G, 3-D Audio Using Loudspeakers, Kluwer Academic, 1998. (TK7881.83.G228)
Reference(s) 1. Pohlmann Ken C, Principles of Digital Audio, 6th Edition, McGraw-Hill, 2011. (TK7881.4.P748 2011)
• Watkinson John, The Art of Digital Audio, 3rd Edition, Focal Press, 2001. (TK7881.4.W336 2001)

Course Code & Title IM4476 – IMAGE PROCESSING

Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Tan Yap Peng
Learning Objective This course is an introduction to the fundamental concepts and techniques in basic digital image processing and their
applications to solve real life problems. The topics covered include Digital Image Fundamentals, Image Transforms,
Image Enhancement, Restoration and Compression, and Nonlinear Image Processing. Application examples are also
included.
Course Contents Digital Image Fundamentals. Image Transforms. Image Enhancement. Image Restoration. Image Compression.
Nonlinear Image Processing. Applications.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quiz; Assignment; Project
Written Examination (60%)
Textbook(s) • Gonzalez Rafael C and Woods Richard E, Digital Image Processing, 3rd Edition, Prentice Hall, 2008. (TA1632.G643
2008)
Reference(s) • Pratt William K, Digital Image Processing: PIKS Scientific Inside, 4th Edition, John Wiley, 2007. (TA1632.P917 2007)
• Pitas Ioannis, Digital Image Processing Algorithms and Applications, John Wiley, 2000. (TA1637.P681)
• Jain Anil K, Fundamentals of Digital Image Processing, Prentice-Hall, 1989. (TA1632.J25)

Course Code & Title IM4478 – DIGITAL VIDEO PROCESSING

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Chau Lap Pui
Learning Objective This course aims to introduce digital video processing with an emphasis on video coding and its international
standards, since coding is a turnkey technology of today’s multimedia applications. Students will learn how video
processing technologies are exploited in various multimedia applications.
Course Contents Fundamentals of Digital Video. Block‐matching motion estimation and fast algorithms. Video coding basics. Video
coding standards. Video streaming and processing. Digital video applications.
Prerequisite Nil
Contact Hours Video lectures (26), Interactive Tutorial Sessions (14); Practical (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quiz; Assignment; Practical
Written Examination (60%)
Textbook(s) • Shi Yun Q and Sun Huifang, Image and Video Compression for Multimedia Engineering: Fundamentals,
Algorithms, and Standards, 2nd Edition, CRC Press, 2008. (QA76.575.S555 2008)
• Wang Yao, Ostermann Jeorn and Zhang Ya-Qin, Video Processing and Communications. Prentice Hall, 2002.
(TK5105.2.W246)
Reference(s) • Symes Peter, Digital Video Compression, McGraw-Hill, 2004. (TK6680.5.S986D)
• Schaar Mihaela van der, Turaga Deepak S and Stockhammer Thomas, MPEG-4 Beyond Conventional Video
Coding: Object Coding, Resilience, and Scalability, 1st Edition, Morgan & Claypool, 2006. (TK6680.5.S291)
• Richardson Iain E G, The H.264 Advanced Compression: Standard, 2nd Edition, Wiley, 2010. (TK6680.5.R522 2010)
• Tekalp A Murat, Digital Video Processing, Prentice-Hall, 1995. (TK6680.5.T266)
• ISO/IEC 11172-2, Information Technology - Coding of Moving Pictures and Associated Audio for Digital Storage
Media at up to about 1.5 Mbit/s, Part 2: Video, BSI, 1995. (QC100.B862 BS EN ISO/IEC 11172-2 1995)
• ISO/IEC IS 13818-2, Information Technology - Generic Coding of Moving Pictures and Associated Audio
Information: Video, 1995. (TK277.I85 ISO/IEC13818-2 1996(E))
• ISO/IEC IS 14496, Information Technology - Coding of Audio-Visual Objects - Part 2: Visual, Geneva, 1999.
(TK277.I85 ISO/IEC14496-2(E))

Course Code & Title IM4483 – ARTIFICIAL INTELLIGENCE & DATA MINING
Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Chen Lihui
Learning Objective The course is designed to introduce both (1) The traditional approach to machine learning using symbolic
representations and manipulations, i.e., knowledge representations and problem solving techniques, and (2)
Techniques and application of machine learning techniques to data mining.
Course Contents Problem solving techniques. Machine learning and applications to data mining.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quiz; Assignment; Projects
Written Examination (60%)
Textbook(s) • Luger George F, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6th Edition,
Addison-Wesley, 2009. (Q335.L951)
• Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining: Pearson New International Edition,
2013.
Reference(s) • Jiawei Han, Micheline Kamber and Jian Pei, Data Mining: Concepts and Techniques, 3rd Edition, Morgan
Kaufmann, 2011, ISBN: 978-0-12-381479-1.
• S. Russell and P. Norvig, Artificial Intelligence A Modern Approach, 3rd Edition, Prentice Hall, 2010. (Q335.R967A
2010)

Course Code & Title IM4490 – MULTIMEDIA SYSTEMS

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Ma Kai-Kuang
Learning Objective The objective of this course is to provide students with a basic understanding of multimedia systems. This course
focuses on topics in multimedia information representation and relevant signal processing aspects, multimedia
networking and communications, and multimedia standards especially on the audio, image and video compression.
All of these topics are important in multimedia industries.
 Course Contents Fundamentals of Multimedia Systems. Overview of Digital Image and Video Coding Standards. Overview of Digital
Audio Coding Standard. Multimedia Communications. Multimedia Applications.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignment; Project
Written Examination (60%)
Textbook(s) • Li Ze-Nian and Drew Mark S, Fundamentals of Multimedia, 2nd Edition, Pearson Prentice-Hall, 2014.
Reference(s) • Steinmetz Ralf and Nahrstedt Klara, Multimedia: Computing, Communications and Applications, Prentice-Hall,
1997. (QA76.575.S823 1997)
Course Code & Title IM4717 – WEB APPLICATION DESIGN
Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Chong Yong Kim
Learning Objective The objective of this subject is to provide students with a clear understanding of the architecture of web applications,
as well as skills and knowledge to design and construct such applications.
Course Contents This design course will equip students with principles, knowledge and skills for the design and construction of web-
enabled Internet applications. It deals with challenges raised in wide-area distributed computing, including
persistence, concurrency and transaction, as well as technologies for creating, managing, and tracking web-
interaction state in the environments where the connections are inherently unreliable and protocols are inherently
stateless. Specifically, the content covers the architecture of web applications, data presentation, server side
programming, data access, state management, data exchange and XML, web services, and personalization. Lab
facilities and guidance are provided for the students to practice on the technologies and the skills, go through the
steps of web applications, i.e. design, implementation and deployment, with an in house project.
Prerequisite Nil
Contact Hours Lectures (13); Practical Sessions (26)
Academic Units 2
Assessment Modes Continuous Assessment (50%)
Written Examination (50%)
Reference(s) • Douglas K. Van Duyne; James A. Landay; Jason I. Hong, The Design of Sites, 2nd Edition, Prentice Hall PTR, 2006.
(TK5105.888.V36)
• Terry Felke-Morris, Basics of Web Design: HTML5 & CSS3, 2nd Edition, Addison-Wesley Longman, 2013. ISBN: 978-
0-13-312891-8
• Welling Luke, Thomson Laura, PHP and MySQL Web Development, 4th Edition, Addison Wesley, 2009.
(QA76.73.P224W452 2009)
• Larry Ullman, Modern JavaScript: Develop and Design, Peachpit Press, 2012, ISBN: 978-0321812520.

Course Code & Title IM4718 – ENTERPRISE NETWORK DESIGN

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Xiao Gaoxi
Learning Objective The subject aims to provide students the knowledge for designing, setting up and managing an IP based enterprise
network. Students will acquire necessary practical skills in planning and configuring an IP network, using simulation
and monitoring tools to analyse the network performance.
Course Contents This subject covers network technologies and protocols, network planning and design methodologies. Besides
acquiring the theoretical background in enterprise networking, students will learn to set up, configure and
interconnect an IP network in the lab sessions. Network monitoring and management tools will also be introduced to
the students.
The students will also acquire the knowledge to use simulation tool to design an enterprise network and evaluate
design alternatives. Based on the knowledge and skills, the students are to finish a design of an enterprise network to
support applications such as electronic mails, centralised database access, and client-server applications. Various
issues such as IP addresses assignment, choice of internetworking equipment and network performance will be
considered in the network design.
Prerequisite IM2003 Computer Communications
Contact Hours Lectures (13); Practical Sessions (26)
Academic Units 2
Assessment Modes Continuous Assessment (50%)
Written Examination (50%)
Reference(s) • Leon-Garcia Alberto and Widjaja Indra, Communication Networks: Fundamental Concepts and Key Architectures,
2nd Edition, McGraw-Hill, 2004. (TK5101.L579 2004)
• Kurose James F and Ross Keith W, Computer Networking: A Top-Down Approach, 6th Edition, Pearson, 2013.
(TK5105.875.I57K96 2013)
• CCIE Fundamentals: Network Design and Case Studies, 2nd Edition, Cisco Press, 2002. (TK5105.5.C386)
• Priscilla Oppenheimer, Top-Down Network Design, 3rd Edition, Cisco Press, 2011. (TK5105.5.P62 2011)

Course Code & Title IM4756 – COMPUTER ARCHITECTURE

 Study Year 4
Availability Semester 2
Coordinator(s) Prof Lim Yong Ching
Learning Objective The objective of this course is to provide students with the basic concepts and principles in computer architecture so
that students have in-depth understanding of computer system organizations and computer system designs.
Course Contents Fundamental of Computer Design. Instruction Set Architecture. Memory-system Architecture. Buses, Storage Devices
and I/O System. RISC Design. Pipelining.
Prerequisite Nil
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignments
Written Examination (60%)
Textbook(s) • Hennessy John L and Patterson David A, Computer Architecture: A Quantitative Approach, 5th Edition, Morgan
Kaufmann, 2012. (QA76.9.A73H515 2012)
Reference(s) • Patterson David A and Hennessy John L, Computer Organization and Design: The Hardware/Software Interface,
(ARM edition), 5th Edition, Morgan Kaufmann 2014. (QA76.9.C643P317 2014)

Course Code & Title IM4761 – COMPUTER NETWORKING

Study Year 4
Availability Semester 1
Coordinator(s) Assoc Prof Ma Maode
Learning Objective The subject is intended to provide students with: 1) A basic understanding of concepts and protocols used in computer
networking, 2) An in-depth knowledge of routing algorithms, congestion and flow control mechanisms, and naming
and addressing mechanisms used in the network and transport layers, 3) A strong theoretical and practical foundation
to become a competent network professional.
Course Contents Computer network architecture and services. Internetworking protocols and routing. Transport protocols. Application
services and multimedia networking.
Prerequisite IM2003 Computer Communications
Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignment; Class Participation
Written Examination (60%)
Textbook(s) • Kurose James F and Ross Keith W, Computer Networking: A Top-Down Approach, 6th Edition, Addison-Wesley,
c2013. (TK5105.875.I57K96 2013)
Reference(s) • Leon-Garcia Alberto and Widjaja Indra, Communication Networks: Fundamental Concepts and Key Architectures,
2nd Edition, McGraw-Hill, 2004. (TK5101.L579 2004)
• Stallings William, Data and Computer Communications, 10th Edition, Pearson/Prentice-Hall, 2014. (TK5105.S782
2014)
• Comer Douglas E, Internetworking with TCP/IP, 6th edition, Pearson Prentice-Hall, 2014. (TK5105.585.C732 2014
V1)

Course Code & Title IM4791 – DATABASE SYSTEMS

Study Year 4
Availability Semester 2
Coordinator(s) Assoc Prof Wang Lipo
Learning Objective Database has become part of our daily life. Almost all business and engineering systems now rely on some kind of
database. At the heart of every modern information system is a database that would affect the quality of the system
decisions, output and performance. The proper understanding, design, and management of a database are crucial to
the efficiency of application programs and the effectiveness of computer-based user functions. The objective of the
subject is to provide a good fundamental understanding of the theories and practices of database systems for various
application domains such as business, engineering, and manufacturing. It examines the full spectrum of database
management: data modeling, logical and physical database design, query language, database administration, and
offers an appreciation for more advanced database technologies such as web databases, and data warehousing.
Course Contents Introduction to Database and Data Modelling. Logical Database Design and The Relational Model. The Structured
Query Language (SQL). Physical Database Design. Database Administration. Client/Server Database. Data
Warehousing.
Prerequisite Nil
 Contact Hours Lectures (26); Tutorial Sessions (12)
Academic Units 3
Assessment Modes Continuous Assessment (40%) – Quizzes; Assignment; Project
Written Examination (60%)
Textbook(s) • Hoffer Jeffrey A, Ramesh V and Topi Heikki, Modern Database Management, 11th Edition, Pearson/Prentice-Hall,
2013. (QA76.9.D3M143 2013)
Reference(s) • Elmasri Ramez and Navathe Shamkant B., Database Systems: Models, Languages, Design and Application
Programming, 6th Edition, Pearson, 2011.
• Coronel Carlos, Morris Steven and Rob Peter, Database Systems: Design, Implementation, and Management, 11th
Edition, Course Technology, 2014.