MODULE SPECIFICATION Template Guidance · Web viewThe module will describe the interface to web technologies and the Internet and cover electronic commerce as an important application

School of Computer Science

MSC COMPUTER SCIENCE MODULES FOR 2011-2012

Autumn SemesterModule Module Code Level

Introduction to Network Communications G64INC 4Database Systems G64DBS 4Introduction to Computer Programming G64ICP 4Introduction to Human Computer Interaction G54IHC 4Operations Research and Modelling G54ORM 4Advanced Computer Communications G54ACC 4Simulation for Computer Scientists G54SIM 4Programming G54PRG 4System and Network Administration G54ADM 4Computer Vision G53VIS 3Software Quality Management G53SQM 3Introduction to Image Processing G52IIP 2Algorithms and Data Structures G52ADS 2Application Programming G52APR 2

Spring SemesterModule Module Code Level

Software Engineering G64SWE 4Object Oriented Systems G64OOS 4Foundations of Artificial Intelligence G64FAI 4Software Project Management G64SPM 4Management of Information Technology G64MIT 4Parallel and Distributed Computing G54PDC 4Methods for Understanding Users in CS G54MET 4New Media Design G53NMD 3Enterprise Level Computing G53ELC 3Computer Security G53SEC 3C++ Programming G52CPP 2

Summer SemesterModule Module Code Level

Computer Science Technology Transfer Project G64PRE 4Project in Information Technology G64PIT 4Project in the Management of Information Tech. G64PMI 4

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MODULE OUTLINEAUTUMN 2011-2012

1. Module Code G64INC

2. Title of Module Introduction to Network Communications

3. Number of credits 10

4. Level 4

5. Taught Semester and Assessment Period Semester AssessmentAutumn Assessed by end of Autumn Semester

6. Pre-requisites for admission to the module (if any) None

7. Co-requisites for the module (if any) None

8. LecturerMr. Ho Sooi Hock Contact No: 03-8924-8145Room No: BB71E-mail: [email protected]

9. Summary of Content This module aims to: present a broad overview of computer communications and networks provide an overview of underlying technologies including data transmission

techniques, Local Area Networks, Wide Area Networks, internetworking and network applications.

Give students an understanding of the Internet environment and the TCP/IP protocols.

10. Learning Outcomes Knowledge and Understanding

An understanding of the principle technologies in computer networking. Intellectual Skills

The ability to understand complex ideas and relate them to specific situations.Professional Skills The ability to understand, evaluate and select appropriate network designs and

protocols.

11. Weekly Programme

Week

No

LectureTopics

1 - 3 Part 1: Data Transmission

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1. Introduction, Transmission media2. Local asynchronous communication and RS-2323. Long distance communication (carriers and modems)

4 - 7 Part 2: Packet Transmission5. Packets, frames and error detection6. Local Area Networks7. Hardware addressing and frame types8. LAN wiring and physical topology9. Extending LANs10.WAN technologies and routing 11. Ownership, service and performance

8 - 10 Part 3: Internetworking12. Protocols and layering13. Internetworking - concepts 14. IP addressing15. IP datagrams16. Future IP 17. Transport Control Protocol (TCP)

11-12 Part 4: Applications 18. Client-Server Interaction 19. The Socket API20. Example applications 21. Revision

12. Assessment detailsWritten Examination 100%

13. Resources

Suggested primary texts

No

Name of Author(s)

Year of Publicatio

n

Title of Book Edition

Publisher’s Name

ISBN

1Douglas E.

Comer

2008 Computer Networks and

Internets

5th Prentice Hall 0136061273

Suggested secondary texts

No

Name of Author(s)

Year of Publication

Title of Book Edition Publisher’s Name

ISBN

1

2

Tanenbaum & Wetherall

Forouzan

2011

2007

Computer Networks

Data Communications and Networking

5th

4th

Prentice Hall

McGraw- Hill

0132126958

0072967757

14. Web Linkhttp://sepang.nottingham.edu.my/~hsooihock

Page 3 of 18

http://sepang.nottingham.edu.my/~hsooihock

1. Module Code G64DBS

2. Title of Module Database Systems


4. Level 1




8. LecturerTBAContact No: TBARoom No: TBAE-mail: TBA

9. Summary of Content The module introduces database management systems, the design and use of database systems. The relational database model and the structured database query language (SQL) are covered. Throughout the module students are given instruction in the use of a relational database management system. Topics covered include: the relational model; entity-relationship modelling, SQL data definitions and select, normalisation, efficiency, transactions and database security.

10. Learning Outcomes Knowledge and Understanding Ability to use SQL and an understanding of embedded SQL. Understanding of the

ANSI/SPARC and relational models of database systems. Intellectual Skills Basic knowledge of the mathematics underlying relational database systems.

Ability to design database systems. Professional Skills The use of SQL for database specification and manipulation. Database

administration, including integrity and security control. Transferable Skills: Understanding of the application of database systems.


Week

No

LectureTopics

1 Introduction to Database Systems, The Relational Model2 Entity Relationship Modelling3 SQL Data Definition4 SQL SELECT

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5 More SQL SELECT6 SQL and Java7 Normalization to 3NF and BCNF8 Efficiency Issues9 Transactions and Recovery, Concurrency

10 More Concurrency, Security and Integrity11 Good and Bad ‘Modern’ Databases12 Revision

12. Assessment detailsCoursework 25%; Written Examination 75%

13. Resources


No

Name of Author(s)

Year of Publicatio

n


ISBN

1Thomas

Connolly and Carolyn Begg,

2005 Database Systems - A Practical Approach to

Design, Implementation, and Management

3rd or 4th ed.

Addison-Wesley

0321210255


No

Name of Author(s)

Year of Publicatio

n


Publisher’s Name

ISBN

1

2.

3.

R Elmasri and SB Navathe,

A. Silberschatz, H. F. Korth, and S. Sudarshan,

Peter Rob, Carlos Coronel

2004

2002

2007

Fundamentals of Database

Systems,

Database System

Concepts,

Database System

3rd or 4th ed.

4th ed.

7th ed.

Addison-Wesley,

McGraw-Hill

Course Technology

0321204484

0072283637

1418836508

14. Web LinkTBA

Page 5 of 18

1. Module Code G54IHC

2. Title of Module Introduction to Human Computer Interaction


4. Level 4




8. Lecturer(Ms) Lyn Fiona Kiai Contact No: 03-8924-TBARoom No: TBAE-mail: [email protected]

9. Summary of Content This module provides an introduction to the foundations of human-computer interaction (HCI). The course will address the theoretical foundations of HCI, the relevance of users to the design process, user interface design (input/output technologies, interaction styles/paradigms, user support etc.), prototyping techniques, and user evaluation.

10. Learning Outcomes Knowledge and Understanding The relevance and importance of considering the human in the design and

implementation of IT products/systems. The issues involved and methods needed to design and evaluate technologies

from a user-centred perspective. An awareness of the wider socio-cultural and contextual issues which affect the

design of technology.Intellectual Skills The application of relevant theories and knowledge of human capabilities and

limitations to the design of IT systems.A critical understanding of the key role of the user in systems design.

Professional Skills Knowledge of Lo-fi interface prototyping methods and interface evaluation, as

well as application of user interface standards.Transferable Skills Team work, critical thinking, oral and written communication.


Week

No

LectureTopic

Page 6 of 18

1 Introduction, overview and module contents 2 Human computer interaction in general3 HCI education 4 User interface development - general5 User interface design – principles and guidelines 6 Requirements specifications7 Designing GUIs8 Participatory design and prototyping 9 Evaluating interfaces

10 Guidelines for specific platforms 11 Revision and discussion of past exam papersl

12. Assessment detailsTwo Courseworks each worth 30%; Written examination 40%

13. Resources


No Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Helen Sharp, Yvonne Rogers & Jenny Preece

2007 Interaction Design: Beyond Human Computer Interaction

2nd Wiley 0470018666



Year of Publication


Publisher’s Name

ISBN

1Ben

Schneiderman & Catherine

Plaisant

2010 Designing the User Interface : Strategies forEffective Human-Computer Interaction

5th Addison-Wesley

0321537351

14. Web LinkTBA

Page 7 of 18

1. Module Code G54ORM

2. Title of Module Operations Research and Modelling


4. Level 4


6. Pre-requisites for admission to the module (if any) Knowledge of algorithm basics, data structures and some computer programming. Knowledge of the basics of: linear algebra and calculus is desirable.


8. LecturerDr. Siang Yew ChongContact No: 03-89248148Room No: BB57E-mail: [email protected]

9. Summary of Content This module: Covers a range of operations research techniques (emphasis here is on learning

modelling techniques) in order to tackle a range of real-world problems. Operations research (OR) is a discipline that uses modelling techniques, analytics and computational methods to solve complex problems in industry and business with the aim of helping to make better decisions.

Includes Linear Programming, Modelling and Optimisation Software, Post-optimality Analysis, Integer Programming, Modelling Techniques, Combinatorial Optimisation, Solving Large IP Models and Dynamic Programming.

Provides a sound understanding to interpret and create formal models of optimisation problems and then to develop computer-based solutions by means of spreadsheets and programming style systems. Techniques are explained using numerical examples and their application is illustrated using a number of case studies and software tools.

10. Learning Outcomes Knowledge and Understanding The strengths and weaknesses of computer tools, applications and other

resources. Applied mathematics and formal methods in the computer science context.

Intellectual Skills Apply and deploy mathematical ability, practices and tools. Understand complex ideas and relate them to specific problems or questions

Page 8 of 18

Professional Skills Program in various paradigms. Evaluate available tools, applications, algorithms and data structures, and select

those that are fit for purpose within a given domain.

Transferable Skills Utilise mathematics to volve problems.


Week

No

LectureTopic

1 Introduction to OR.2 Linear Programming.3 Modelling and Optimisation Software. 4 Post-optimality Analysis.5 Integer Programming.6 Modelling Techniques 1.7 Modelling Techniques 2.8 Combinatorial Optimisation. 9 Solving Large IP Models.

10 Dynamic Programming. 11 Revision and Coursework Discussion.

12. Assessment detailsWritten Examination 60%, Coursework 40%

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1Frederick S. Hillier & Gerald J. Lieberman

2009 Introduction to Operations Research

9th McGraw-Hill

978-0-077-29834-0

2 H. P. Williams 1999 Model Building in Mathematical Programming

4th Wiley 978-0-471-99788-7

Suggested secondary texts*None*

14. Web Linkhttp://baggins.nottingham.edu.my/~khczcsy/G54ORM/G54ORM.html

1. Module Code

Page 9 of 18

http://baggins.nottingham.edu.my/~khczcsy/G54ORM/G54ORM.html

G54ACC

2. Title of Module Advanced Computer Communications


4. Level 4

5. Semester in which module is taught and Assessment Period Semester AssessmentAutumn Assessed by end of Autumn Semester

6. Pre-requisites for admission to the module (if any) G52CCN or equivalent knowledge of computer networking


8. LecturerHo Sooi Hock (Mr)Contact No: 03-89248145Room No: BB71E-mail: [email protected]

9. Summary of Content The course gives a basic understanding of network-related initialization and the operation of the main Internet protocols. It gives an insight into the service definition and protocols of the most important network applications services. It considers basic network architectures such as the client-server model and the more complex distributed systems. Consistent examples from all-IP core telecommunications networks are used to illustrate transmission coding, error control, media access, routing, presentation coding, services and security. Introduction to technologies includes switch and router design, network processors, and encryption.


understanding of distributed systems concepts and issues, including DNS, WWW/HTTP and network security issues.

a grasp of basic client-server system implementation techniques Intellectual Skills

the ability to understand and evaluate requirements of and practical constraints on designing distributed systems and protocols (using RMI and socket-based communication)

Professional Skills the ability to evaluate and choose between possible distribution technologies

(e.g. RMI, TCP sockets) the ability to understand and reason about security weaknesses and

limitations of possible solutions in networked computer systems Transferable Skills

the ability to structure and communicate ideas effectively


Wee Lecture

Page 10 of 18

kNo

Topic

1 Introduction, overview and module contents2 Review of TCP and IP functions; IP subnetting and

supernetting3 Problem of IP address exhaustion; Network auto-

configuration4 Transport layer protocol and socket programming5 UDP/TCP comparison; Remote Procedure Call6 Remote Method Invocations7 IP multicast8 Distributed Systems and domain name services9 P2P systems

10 Firewalls11 Revision12 Review Past Year Papers


13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Kurose & Ross

2008 Computer Networking: A Top Down Approach Featuring the Internet

4th Addison-Wesley

0-321-49770-8


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Tannenbaum

2003 Computer Networks

4th Prentice Hall

0-13-038488-7

3 Comer 2004 Computer Networks and Internets

4th Prentice Hall

0-13-123627-X

14. Web Linkhttp://sepang.nottingham.edu.my/~hsooihock/G54ACC/index.html

1. Module Code G54SIM

Page 11 of 18

http://sepang.nottingham.edu.my/~hsooihock/G54ACC/index.html

2. Title of Module Simulation for Computer Scientists


4. Level 4




8. LecturerChen Zhi Yuan (Dr)Contact No: 03-89248141Room No: BB59E-mail: [email protected]

y

9. Summary of Content Computational Simulation of systems is becoming increasingly common due to the recent improvements of speed and memory in computer hardware allowing simulation of realistic systems. System simulation can help to understand the processes currently in place and show the consequences of changes to these processes over time. Successful case studies of simulation include manufacturing, financial system, retail and more recently other areas of the service sector. Three broad simulation paradigms exist: System Dynamics, Agent-based and Discrete Event. This module will explain each of them in detail so that students will be competent in choosing and implementing the right method for their particular problem.

10. Learning Outcomes Knowledge and Understanding Understanding the capabilities, strengths and limitations of simulation methods An appreciation of different simulation techniques Intellectual Skills

The ability to understand complex ideas and relate them to specific situations Professional Skills The ability to implement selected simulation methods for real world applications

The ability to evaluate simulation techniques and select those appropriate to a given task Transferable Skills The ability to address real problems and assess the value of their proposed

solutions The ability to retrieve and analyse information from a variety of sources and

produce detailed written reports on the result


Week

LectureTopic

Page 12 of 18

No1 Introduction to Modelling and Simulation2 Simulation Studies: An Overview3 Guest Lecture: Case Study14 Guest Lecture: Case Study25 Simulation Methods: System Dynamics Simulation6 Simulation Methods: Discrete Event Simulation7 Simulation Methods: Agent-Based Simulation8 Conceptual Modelling9 Input Modelling

10 Model Testing (Verification and Validation) + Experiment Preparation (Part 1)

11 Experiment Preparation (Part 2) + Experimentation + Output Analysis

12 Application of Simulation in the Real World

12. Assessment detailsWritten Examination 60%Course Work 40%

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Stewart Robinson

2004 Simulation: The Practice of Model Development and Use

Wiley, Chichester, UK

9780470847725

2 John Sterman

2000 Business Dynamics: Systems Thinking and Modelling for a Complex World

McGraw-Hill Higher Education

0072311355

3 Gilbert N and Troitzsch KG

2005 Simulation for the Social Scientist.

2nd Open University Press

0335216013

Suggested secondary textsNot Available

14. Web LinkTBA

1. Module Code G53VIS

2. Title of Module Computer Vision

Page 13 of 18


4. Level 3


6. Pre-requisites for admission to the module (if any)Compulsory: G51OOP Object-Oriented Programming (G51PRG 2009/10)Recommended: G52IIP - Introduction to Image Processing (G52IVG 2009/10).

Background knowledge of vision and image processing are an advantage.


8. LecturerTomas Maul (Dr)Contact No: 03-89248232Room No: BB64E-mail: [email protected]

9. Summary of Content Building on G52IIP this module examines current techniques for the extraction of useful information about a physical situation from individual and sets of images. Particular emphasis is placed on the identification of objects, recovery of three-dimensional shape & motion, and the recognition of events. Topics covered include: advanced segmentation and feature extraction, motion computation and tracking, stereo vision and the use of hidden Markov models in higher level analysis.

10. Learning OutcomesKnowledge and Understanding Experience in implementing image processing and vision algorithms.

Understanding of current techniques in image processing and computer vision and an awareness of their limitations. An appreciation of the underlying mathematical principles of computer vision.

Intellectual Skills Apply knowledge of computer vision techniques to particular tasks. Evaluate

and compare competing approaches to vision tasks.

Professional Skills Develop a working knowledge of image processing algorithms and libraries

and evaluate the applicability of various algorithms and operators to particular tasks.

Transferable Skills Apply knowledge of the methods and approaches presented to problem

domains use the available resources (libraries, internet, etc) to supplement the course material.


Week Lecture Topic1

Introduction

Page 14 of 18

2 Segmentation as Clustering. Region-based Segmentation.3

Watersheds. The EM Algorithm.4

Binocular Stereo. Camera Calibration.5

Stereo Correspondence. Motion Analysis and Optic Flow.6

Computing Optic Flow. Issues in Optic Flow.7

Evaluation: Optic flow and segmentation. Introduction to Tracking.8

The Kalman Filter. Snakes.9

Particle Filters and Condensation.10

Event Detection and Hidden Markov Models.11 Revision.


13. Resources

Suggested primary textsNone.



Year of Publicat

ion


ISBN

1 David A. Forsyth & Jean Ponce

2002 Computer Vision: A Modern Approach

1st Prentice Hall

0130851981

2 E. R. Davies 2005 Machine Vision: Theory, Algorithms, Practicalities

3rd Morgan Kaufmann

0122060938

14. Web Linkhttp://baggins.nottingham.edu.my/~kcztm/TeachG53VIS.html

Page 15 of 18

http://baggins.nottingham.edu.my/~kcztm/TeachG53VIS.html

1. Module Code G53SQM

2. Title of Module Software Quality Management


4. Level 3


6. Pre-requisites for admission to the module (if any) G51FSE Foundations of Software Engineering


8. LecturerChew Sze-Ker (Mr)Contact No: 03-89248140Room No: BB72E-mail: [email protected]

9. Summary of Content This module is part of the Software Engineering theme in the School of Computer Science. Computer software is present almost everywhere. The impact of software failure is often quite considerably so reliability and robustness is paramount when developing software. The importance of effective testing methodologies for quality assurance in the software industry has increased substantially in recent years.

This module introduces: Concepts and techniques for testing software and assuring its quality. Methods for software testing and quality assurance are integrated into all phases

of the software development process and it also extends to other aspects such as systems and hardware development.

10. Learning Outcomes Knowledge and Understanding Knowledge and understanding of evaluation and testing of software systems.

Intellectual Skills Ability to use formal methods of software analysis.

Professional Skills Ability to test software in a systematic way and carry out quality assurance

process, experience of using specialised testing software.

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Transferable Skills Abstract thinking, systematic approach to problem solving.


Week

No

LectureTopic

1 Introduction to SQA/Software Quality Factors2 Components of SQA Systems3 Pre-project Software Quality/Integrating quality Activities4 Software Reviews5 Software Testing Strategies/Implementation6 Software Quality Metrics7 The Function Point Method8 Presentation9 Presentation

10 Presentation11 Revision and discussion

12. Assessment details

60% Written examination open questions style40% Courseworks include reports/assignments/presentation

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Malik Kamna

2006 Software Quality: a practitioner’s approach

1st McGraw Hill 0-070-24873-7


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Tian Jeff 2005 Software Quality Engineering: testing, quality assurance and quantifiable improvement

1st Wiley 0-013-06428-2

14. Web Linkhttp://moodle.nottingham.ac.uk

Page 17 of 18

1. Module Code G52IIP

2. Title of Module Introduction to Image Processing


4. Level 2

5. Taught Semester and Assessment Period Semester AssessmentSpring Assessed by end of Spring Semester

6. Pre-requisites for admission to the module (if any) G51MCS Mathematics for Computer ScientistsG51PRG Programming



9. Summary of Content This module includes the following topics: an overview of image processing and its applications, relations between image

processing and other closely related fields such as computer vision, computer graphics, image analysis and digital photography

fundamentals of digital images, elements of visual perception and human visual system, fundamentals of image formation and digital image acquisition

digital image processing theory and practice, including point processing, spatial filtering, image transforms and frequency domain processing, edge detection, image segmentation, fundamentals of image coding and compression

colour and colour imaging fundamentals, colour models and colour image processing

emerging digital imaging technologies including high dynamic range photography and computational photography

10. Learning Outcomes Knowledge and Understanding Experience implementing programs that manipulate images Awareness of limitations and appreciating the underlying mathematical

principles Intellectual Skills

Page 18 of 18

Apply knowledge of vision and image processing techniques to particular tasks

Professional Skills Develop a working knowledge of image processing algorithms and libraries Evaluate the applicability of various algorithms and operators to different tasks

Transferable Skills Address real problems and assess the value of their proposed solutions Retrieve and analyse information from a variety of sources and produce detailed

written reports on the result


Week

No

LectureTopic

1 Introduction, overview and module contents 2 Digital image fundamentals3 Point and histogram processing 4 Spatial domain image filtering5 Image sharpening, edge detection and Hough transform6 Image filtering in the frequency domain7 Colour model and colour image processing8 Image segmentation 9 Image coding and image compression

10 3D transformation 11 Revision and discussion of past exam papersl


13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Gonzalez & Woods

2008 Digital Image Processing

3rd Prentice Hall 0-13-168728-X



Year of Publication


ISBN

1 Efford 2000 Digital Image Processing Using Java

1st Addison-Wesley

0-20-159623-7

14. Web Linkhttp://sepang.nottingham.edu.my/~hsooihock/G52IIP/index.html

Page 19 of 18

http://sepang.nottingham.edu.my/~hsooihock/G52IIP/index.html

1. Module Code G52ADS

2. Title of Module Algorithms and Data Structures


4. Level 2


6. Pre-requisites for admission to the module (if any) G51MCS Mathematics for Computer Scientists; G51OOP Object-Oriented Programming (G51PRG 2009/10)



9. Summary of Content This module introduces the basics of specifying abstract data types and using them to design programs. Commonly used data structures and algorithms are studied in depth. The emphasis is made on choosing data structures and algorithms appropriate for solving a given problem. It presents the mathematical analysis of time and space usage of algorithms using the big-Oh notation. Such mathematical analysis is then used to support algorithm design decisions. It presents the usage of pre/post conditions and loop invariants to aid in the design and implementation of algorithms. Specific algorithms and data structures may include, but are not limited to: stacks, queues and lists; trees and tree traversal methods; heaps, search trees; graph problems and graph algorithms such as shortest paths and minimum spanning trees.

10. Learning Outcomes Knowledge and Understanding The theory and practice of implementing algorithms; to know of and understand

the mathematical properties of algorithms. Intellectual Skills

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Ability to apply mathematical techniques to algorithms and data structures and understand the their specifications

Professional Skills Implementation of data structures and algorithms; evaluation and selection of

available tools, applications, algorithms and data structures that are suitable for a given domain/scenario.

Transferable Skills The ability to solve problems using a variety of data structures and algorithms;

to utilise mathematical techniques when necessary to achieve the above


Week

No

LectureTopic

1 Introduction, overview and module contents 2 Algorithms and analysis, data structures/abstract data types;

Sorting methods I: bubble sort, selection sort and insertion sort3 Sorting methods II: merge sort and quick sort; Stacks 4 Queues; Recursion5 Linked list (single and double ended); Graph, DFS and BFS6 Shortest path algorithms, minimum spanning tree7 Topological sort; Hash table8 Heaps, heap sort, priority queue 9 Tree, tree traversal; Binary search tree, balanced binary

search tree part 1 (AVL tree)10 Balanced binary search tree part 2 (Red black tree); Multi-way

tree (2,3) and (2,3,4) trees 11 Revision and discussion of past exam papers

12. Assessment detailsCoursework 1 15%; Coursework 2 10%; Written Examination 75%

13. Resources


No

Name of Author(s) Year of Publication


Publisher’s Name

ISBN

1 Michael T.Goodrich and Roberto Tamassia

Data Structures and Algorithms in Java

3rd



Year of Publication


Publisher’s Name

ISBN

1

2

3

Shaffer, Clifford A.

Sahni, Sartaj

Introduction to algorithms

A practical introduction to data structures and algorithm analysis

Data structures, algorithms, and applications in Java

2nd MIT Press

Prentice Hall

McGraw-Hill

Page 21 of 18

14. Web LinkTo be provided by the module convenor.

1. Module Code G52APR

2. Title of Module Application Programming


4. Level 2


6. Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming; (G51PRG 2009/10)


8. LecturerMichael Chung (Mr)Contact No: 03-89248142Room No: BB58E-mail: [email protected]

y

9. Summary of Content Builds on basic programming knowledge by showing how applications can be built through the use of various example Java APIs including: GUI programming, threads, networking, data processing, etc. Where appropriate, the underlying design patterns behind the APIs will be illuminated.


Further understanding of the theory and practice of object-oriented programming.

Intellectual Skills Understand and logically evaluate program requirements and specifictions. Understand the complex ideas of programming solutions and relate them to

particular problems.

Professional Skills The ability to design and write object-oriented programs in Java.

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Transferable Skills The ability to solve problems using object-oriented techniques, to schedule and present their work and to retrieve additional learning material


Week

No

LectureTopic

1 Introduction, overview and module contents 2 GUI Components I3 GUI Components II4 Multithreading 5 Networking6 Coursework Discussion7 Accessing Databases with JDBC8 Web Applications I9 Web Applications II

10 Design Patterns11 Revision and discussion of past exam papers

12. Assessment detailsCoursework 1 25%; Coursework 2 25%; Written Examination 50%

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Deitel & Deitel 2007 Java How to Program

7th Pearson 0136132472


14. Web Linkhttp://baggins.nottingham.edu.my/~kczmc/Teaching/G52APR/

Page 23 of 18

MODULE OUTLINESPRING 2011-2012

1. Module Code G64SWE

2. Title of Module Software Engineering


4. Level 4


6. Pre-requisites for admission to the module (if any) Experience of Computer Programming


8. LecturerDr. VP Kallimani & Mr. Chew Sze-KerContact No: 03-89248141 & 03-89248140Room No: BB59 & BB72E-mail: [email protected] & [email protected]

9. Summary of Content This module covers object-oriented methods for requirements engineering and software design and application of these methods during the development of a medium scale software system. Experience of team working to break down a problem into a set of manageable tasks. Instruction in industrial notations to model and reason about software behavior and application of these methods to software development and documentation.

Page 24 of 18

10. Learning Outcomes Knowledge and Understanding * Programming * Instruction in Unified Modelling Language for determining

system requirements * Documentation and help systems * Awareness of various software architectures for use in system and network design.

Intellectual Skills * understanding and evaluating requirements specifications * working in team

on complex software engineering problems.Professional Skills * Programming utilising software engineering methods * Evaluating software

design tools * Identifying usability issues in software design.Transferable Skills * Solving software design problems * Working in team and organizing activities

using formal techniques *Writing software manuals * Retrieving information on software design practices

11. Weekly ProgrammeNot Available

12. Assessment detailsCoursework 100%

13. Resources

Suggested primary textsNot Available


14. Web LinkTo be provided by the module convenors

Page 25 of 18

1. Module Code G64FAI

2. Title of Module Foundations of Artificial Intelligence


4. Level 4





9. Summary of Content This module aims to: give a broad overview of the fundamental theories and techniques of Artificial

Intelligence provide the student with the necessary knowledge to allow them to implement

common AI search techniques knowledge representation and reasoning and expert systems genetic algorithms and machine learning

10. Learning Outcomes Knowledge and Understanding Knowledge of key AI techniques and their implementation Intellectual Skills

Page 26 of 18

The ability to think independently while giving due weight to the arguments of others. The ability to analyse algorithms

Professional Skills The ability to evaluate available AI techniques and select those appropriate to a

given problem

Transferable Skills The ability to solve problems and communicate effectively in writing


Week

No

LectureTopic

1 Introduction, overview and module contents 2 Problem states and spaces3 Search methods 4 Genetic algorithms I5 Genetic algorithms II6 Neural networks7 Data mining8 Knowledge representation9 Reasoning

10 Expert systems and game playing 11 Revision and discussion of past exam papers


13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Stuart J. Russell & Peter Norvig

2010 Artificial Intelligence :A Modern Approach

3rd Prentice Hall

0-13-604259-7


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 George F Luger

2008 Artificial Intelligence:Structures and strategies for Complex Problem Solving

6th Addison Wesley

0-321-54589-3

14. Web Linkhttp://sepang.nottingham.edu.my/~hsooihock/G64FAI/index.html

Page 27 of 18

http://sepang.nottingham.edu.my/~hsooihock/G64FAI/index.html

1. Module Code G64SPM

2. Title of Module Software Project Management


4. Level 4


6. Pre-requisites for admission to the module (if any) G54PRG Programming



9. Summary of Content This module is part of the Software Engineering theme in the School of Computer Science.

This course considers the activities which are required, and the tools which are available, to manage commercial software development projects. Systems analysis is presented as a way of gathering and structuring information such that the required specification corresponds closely to the users' requirements. Systems design is then presented as a technique for transforming the specification to a form in which it can be implemented. Real case studies will be used to illustrate many of the tools and techniques introduced.

10. Learning Outcomes Knowledge and Understanding Knowledge of the practice of constructing large systems and managing the

process of construction.

Page 28 of 18

Understanding of the strengths and weaknesses of system specification, design and implementation tools and resources

Intellectual Skills The ability to effectively analyse requirements for a range of systems, using

appropriate tools and techniques.

Professional Skills The ability to work effectively and ethically with users

Transferable Skills The ability to solve hardware/software analysis problems and write detailed

reports on the solutions adopted


Week

No

LectureTopic

1 Introduction to SPM2 Business problems and models3 Project planning4 Resource planning5 Project scheduling with uncertain activities durations6 Simulation7 Structured system analysis and design method and data flow

diagrams8 Project investment9 Uncertainty in decisions handling

10 Structure decision problems using decision trees

12. Assessment details

50% Written examination 50% Courseworks

13. Resources



Year of Publication


Publisher’s Name

ISBN

1 Anderson, David et al

2011 An introduction to management science: quantitative approaches to decision making

13th Cengage Learning

1-439-04327-2


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Tellman, Andrew

2006 Applied software project management

1st O’Reilly 0-596-00948-8

14. Web Link

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http://moodle.nottingham.ac.uk

1. Module CodeG54PDC

2. Title of Module Parallel and Distributed Computing


4. Level 4

5. Semester in which module is taught and Assessment Period Semester AssessmentSpring Assessed by end of Spring Semester

6. Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming (G51PRG 2009/10), G52CON Concepts of Concurrency or equivalent knowledge of computer programming and basic principles of concurrency


8. LecturerTBA (Mr)Contact No: 03-8924-TBARoom No: TBAE-mail: [email protected]

9. Summary of Content A simple sequential computer program effectively executes one instruction at a time on individual data items. Various strategies are used in CPU design to increase the speed of this basic model, but at the cost of complexity and power consumption. To further increase performance the task must be re-organised to explicity execute on multiple processors and/or on multiple data items simultaneously. This module charts the broad spectrum of approaches that are used to increase the performance of computing tasks by exploiting parallelism and/or distributed computation. It then considers in more detail a number of contrasting examples. The course deals mainly with the principles involved, but there is the chance to experiment with some of these approaches in the supporting labs. Topics covered include: common applications of parallel and distributed computing; parallel and distributed machine architectures including Single Instruction Multiple Data (SIMD) or short-vector processing, multi-core and multi-processor shared memory, custom co-processors including DSPs and GPUs, cluster and grid computing; programming approaches including parallelizing compilers, explicit message-passing (such as MPI), specialized parallel computing abstractions

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(such as MapReduce), and specialized co-processor programming (such as for GPUs).

10. Learning Outcomes Knowledge and Understanding The practice of parallel programming for a range of architectures and approaches.

The strengths and weaknesses of various approaches to increasing task performance through parallelism. The synergy of hardware and software in parallel computer systems implementation and the properties of networked and distributed systems as used for parallel computation.

Intellectual Skills Thing independently while giving due weight to the arguments of others in

approaches to parallelism. Understand complex ideas and relate them to specific problems or questions in the area of parallel computation.

Professional/Practical Skills Program in various paradigms relevant to parallel computing. Evaluate available

parallel programming approaches and select those that are fit for purpose within a given domain.

Transferable/Key Skills Solve problems. Communicate effectively in writing. Retrieve information from

appropriate sources (e.g. API, instruction set and compiler documentation).

11. Weekly ProgrammeNot Available


13. Resources

Suggested primary textsNot Available


14. Web LinkTo be given by the module convenor.

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1. Module Code G53NMD

2. Title of Module New Media Design


4. Level 3




8. LecturerDr. Wang WeiContact No: 03-89248721Room No: BB63E-mail: [email protected]

9. Summary of Content This is a practical course covering the critical elements of the principles of design. Such principles are applied to new media applications, with a particular focus on its use in the context of the web. It also aims to give students a hands on experience with emerging new media technologies. Technical issues such as colour, images, audio, video and animation will be introduced and discussed in addition to usability and interaction. Practical uses of multimedia authoring systems, content management systems, flash and HTML 5 will form part of this module. Such tools will be put into context with emerging paradigms and new media for mobile platforms.

10. Learning Outcomes To be able to design and produce multimedia objects.

Page 32 of 18


Week

No

LectureTopic

1 Introduction to Multimedia2 Multimedia Authoring Systems; Interaction and Methaphor in

Multimedia Design3 Graphics and Still Images Representation; Colour Science and

Color Models4 Hypertext5

Media Design: Text, Images, and Sound6 Scalable Vector Graphics7 Digital Audio8 Architecture of Multimedia Systems9 Synchronized Multimedia Integration Language

10 Digital Video11 Intellectual Property Rights; Narrative

12. Assessment detailsGroup based development of a multimedia website and group report 75%; Individual Essay 25%

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Barfield, L 2004 Design for New Media: Interaction design for multimedia and the web

1st Pearson Addison-Wesley

978-0201596090

2 Li, Z. & Drew,M.

2004 Fundamentals of Multimedia

- Pearson Prentice-Hall

978-0130618726



Year of Publication

Title of Book

Edition Publisher’s Name

ISBN

1 Vaughan, T. 2007 Multimedia : Making It Work

7th McGraw-Hill 978-0072264517

14. Web Linkhttp://baggins.nottingham.edu.my/~wangwei/teaching/G53NMD.php

Page 33 of 18

http://baggins.nottingham.edu.my/~wangwei/teaching/G53NMD.php

1. Module Code G53ELC

2. Title of Module Enterprise Level Computing


4. Level 3


6. Pre-requisites for admission to the module (if any) G52CCN Computer Communications and Networks, G51DBS Data Systems andG51OOP Object-Oriented Programming (G51PRG 2009/10)


8. LecturerDr. Wang WeiContact No: 03-89248721Room No: BB63E-mail: [email protected]

9. Summary of Content This module provides an overview of more advanced Web architectures and technologies. It will cover the development of web services through the use of standards such as XML, SOAP, WSDL and UDDI and consider how web services can be used to implement a Service Oriented Architecture (SOA). The module will also provide an introduction to the Semantic Web. It explains how modern enterprises construct computer applications that are distributed over an intranet. Multi-tiered architectures will be covered in the context of object-oriented design and implementation as distributed components. The module will describe the interface to web technologies and the Internet and cover electronic commerce as an important application. The Java 2 Enterprise Edition will be used as the basis for the module and compared and contrasted with Microsoft .Net technology. Security and additional materials in the field of networking and communication protocols, tools and good practice will also be described and demonstrated.

10. Learning Outcomes Knowledge and Understanding Design and implementation of multi-tier applications using distributed

component technology. The use of Windows Communication Foundation (WCF) and Windows Presentation Foundation (WPF) and server-side technologies for web page delivery and their security implications on intranets and the Internet.

Intellectual Skills The ability to understand and logically evaluate requirements and specifications

and the ability to understand complex ideas and relate them to specific problem.

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Professional Skills The ability to implement server-side applications in an eCommerce application

using a variety or proprietary and open-source approaches and comparisons between Microsoft and the Java 2 enterprise bean approach.

Transferable Skills Enhanced systems analysis, systems architecture design, developmental and

communication skills.


Week

No

LectureTopic

1 Module Introduction2 Database Conectivity I3 Database Conectivity II4 Server-side Processing and AJAX5 Servlets6 Java Server Pages7 Java Directory and Naming Interface8 Java and XML9 Microsoft .NET Overview

10 Web Services11 Case Study


13. Resources


No Name of Author(s) Year of Publicatio

n


ISBN

1 Jim Farley, William Crawford

2005 Java Enterprise in a Nutshell

3rd 'Reilly Associates

0-596-00152-5

2 Dave Elliman - The Student Handbook for the Module

- - -


No

Name of Author(s) Year of Publicatio

n


Publisher’s Name

ISBN

1 - - Designing Enterprise Applications with the J2EE Platform

2nd Sun Java -

2Eric Jendrock, Ian Evans, Devika Gollapudi, Kim Haase, Chinmayee

2010 The Java EE 6 Tutorial

- - -

Page 35 of 18

Srivathsa

14. Web Linkhttp://baggins.nottingham.edu.my/~wangwei/teaching/G53ELC.php 1. Module Code

G53SEC

2. Title of Module Computer Security


4. Level 3


6. Pre-requisites for admission to the module (if any)G51WPS Web Programming and Scripting

OR G52IWS Internet and the Web Services (200910)OR G52CCN Computer Communications and NetworksOR Equivalent Knowledge of Networks and Computer Systems.


8. LecturerTBAContact No: TBARoom No: TBAE-mail: TBA

9. Summary of Content The module covers the following topics: access control, reference monitors, security models, cryptography, cryptanalysis, network security, software security and nature inspired computer security methods.

10. Learning OutcomesKnowledge and Understanding

An understanding of security issues associated with networked computers. An appreciation of the strengths and weaknesses of available security

techniques. Experience of the use of such techniques in a protected networked

environmentIntellectual Skills

The ability to think independently while giving due weight to the arguments of others.

The ability to understand complex security issues and relate them to specific situations.

Professional Skills Enhanced systems programming skills. The ability to evaluate and select appropriate security techniques.

Transferable Skills The ability to work as part of a team to solve real security problems. An enhanced ability to produce detailed reports

Page 36 of 18

http://baggins.nottingham.edu.my/~wangwei/teaching/G53ELC.php


Week Lecture Topic1 Introduction & Overview2 Foundations of Computer Security3 Access Control4 Reference Monitors5 Security Models6 Other Security Models7 Cryptography 18 Cryptography 29 Network Security

10 Software Security11 Nature Inspired Comp.12 Student Presentations & Discussions

12. Assessment detailsWritten Examination 60%Coursework 40%

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Dieter Gollmann

2006 Computer Security

2nd Wiley 0470862939


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Ross Anderson

2008 Security Engineering

2nd Prentice-Hall

0470068523

14. Web LinkTBA

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1. Module Code G52CPP

2. Title of Module C++ Programming


4. Level 2


6. Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming (G51PRG 2009/10)


8. LecturerMichael Chung (Mr)Contact No: 03-89248142Room No: BB58E-mail: [email protected]

y

9. Summary of Content The course will cover programming material and concepts necessary to obtain a thorough understanding of the C++ programming language for students with experience with another imperative programming language such as Java or C#.


Understanding of the theory and practice of object-oriented (C++) programming.

Intellectual Skills Understand and logically evaluate program requirements and specifications. Understand the complex ideas of programming solutions and relate them to

particular problems.Professional Skills

The ability to write procedural and object-oriented programs in C++Transferable Skills

The ability to solve problems using programming and communicate the results in writing.


Page 38 of 18

Week

No

LectureTopic

1 Introduction2 Introduction to Classes and Objects3 Classes4 Classes (cont.)5 Operator overloading6 Inheritance in C++7 Polymorphism in C++8 Templates9 Stream Input/Output, Class String

10 Exception Handling11 File Processing12 STL

12. Assessment detailsOne courseworks (40%) and a two-hour written exam (60%).

13. Resources


No

Name of Author(s)

Year of Publication


Publisher’s Name

ISBN

1 Deitel & Deitel

2008 C++ How to Program

6th Pearson 0-13242701-X


14. Web Linkhttp://baggins.nottingham.edu.my/~kczmc/Teaching/G52CPP

1. Module CodeG64PRE

2. Title of Module

Page 39 of 18

Computer Science Technology Transfer Project


4. Level 4

5. Semester in which module is taught and Assessment Period Semester AssessmentSummer Assessed by end of Summer Vacation

6. Pre-requisites for admission to the module (if any) N14C15, N14G01, N14G02, N14G03


8. Lecturer(Mr) TBAContact No: 03-8924TBARoom No: TBAE-mail: [email protected]

9. Summary of Content The purpose is to provide the opportunity for students to undertake independent research into a topic appropriate to Computer Science Technology Transfer. In undertaking the project, you should draw on and extend material presented in the course. Beyond reinforcing information and methodology presented in the taught modules, you will gain experience by: addressing the challenges involved in developing the commercial potential of a

technological advance; develop communication skills relevant to the process of transferring technology to

a commercial environment both by:o making presentations to non technical audienceso developing a report appropriate for a set of potential investorso otherwise communicating ideas to customers through meetings in groups or

as individuals

.

Page 40 of 18

10. Learning Outcomes Knowledge and Understanding Knowledge of business administration and entrepreneurial practices. Elementary

knowledge of business and patent law.

Intellectual Skills Ability to apply assessment and processes to real-life situations.

Professional Skills enhanced programming abilities the ability to comprehend and apply software engineering methodologies

Transferable Skills the ability to plan, organisation and execute project work the ability to communicate their results to others

11. Weekly Programme Supporting lectures to be arranged by the module convenor and weekly meetings to be scheduled with the supervisors

12. Assessment detailsProject report in printed and electronic form (PDF). The source code must also be included in the submission – 80%Presentation – 10%Interim report – 10%

Notes:

Page 41 of 18

1. Module availability in any semester will depend on staff availability and enrollments from sufficient number of students.

2. The descriptions of the offered modules are current as when this document is prepared but they may be subjected to modifications and additions by the module convenors.

3. Descriptions of module not included in this document and other non Computer Science modules can be found at Nottingham’s Module Catalogue web site:

http://modulecatalogue.nottingham.ac.uk/nottingham/asp/main_search.asp

Page 42 of 18

http://modulecatalogue.nottingham.ac.uk/nottingham/asp/main_search.asp

Documents

MODULE SPECIFICATION Template Guidance · Web viewThe module will describe the interface to web technologies and the Internet and cover electronic commerce as an important application