In the context of this exciting development, the aim of this module is to examine the design issues that are critical to modern parallel architectures. The students will apply the current best software engineering practices on the analysis, design, implementation, and testing of software system. After taking this module, students should be able to use these concepts to easily build or work with digital models, manipulate the models by means of computer deformation and animation, and use lighting and rendering techniques to create appealing scenes. Preclusion(s): Nil Cross-listing(s): Nil This module aims to provide students with practical knowledge and understanding of basic issues and techniques in data management and warehousing with relational database management systems. Students must seek permission by writing to the Department before the start of module registration in any semester. It surveys a wide range of psychological theories beginning with organizational behaviour approaches, understanding of work and workflow within organizations, and moving on to understanding human psychological architecture and processing constraints. Different network technologies with different characteristic will also be covered, including cellular networks, Wi-Fi, Bluetooth and ZigBee. The module emphasizes on exposing students to practical network system issues through building software prototypes. Assessment modes include a variety of oral and written communication tasks such as reports, software guides, oral presentations, software demonstrations and project blogs. Examples will be discussed from contemporary operating systems such as Unix/Linux and/or Windows. CS2113T Software Engineering & Object-Oriented Programming. Topics include: ways to study a system; modelling and simulation lifecycle; principles of discrete-event modelling and simulation; input data modelling, model development and programming; model verification and validation; model output analysis, design of simulation experiments; comparison and evaluation of system design alternatives; applications of simulation in computer science. This course will help prepare students towards a research career in networking. Modular Credits: 4 Workload: 2-0-0-2-6 Prerequisite(s): CS4226 or EE4210 Preclusion(s): Nil Cross-listing(s): Nil This course covers advanced fundamental principles of computer networks and techniques for networking. Students will be exposed to important computer science concepts, including networking, databases, computer security, user interface design, programming languages, and software engineering. The focus is to understand how actual operating systems work including the pragmatics, system architecture and design and implementation. To qualify for a Minor in Mathematics, a student should pass at least 24 MCs from non-overlapping modules of the following type: Executive Education & Part-time Programmes, Modules offered by Department of Information Systems and Analytics, Graduate Certificate in Computing Foundations, Executive Education & Part-time Programmes, CS2113 Software Engineering & Object- Oriented Programming, CS2113T Software Engineering & Object- Oriented Programming, CS4245 Multimedia E-Learning Environments, CS6221 Modeling and Analysis Techniques in, Dept. Cross-listing(s): Nil This module introduces the basic concepts in operating systems and links it with contemporary operating systems (eg. This module gives an introduction to principles, techniques, and tools to perform digital forensics. Students will gain hands-on experience of working in teams to build a complete embedded system and understand the interplay between the hardware platform, real-time operating systems (RTOS) and the embedded software. Modular Credits: 4 Workload: 2-0-1-3-3 Prerequisite(s): (CS1104 or CS2100 or EE2006 or EE2020) and (CS1231 or MA1100) Preclusion(s): Nil Cross-listing(s): Nil The objective of this module is to introduce formal verification techniques for validating safety critical reactive systems with specific focus on embedded systems. CS5339 Theory and Algorithms for Machine Learning. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS3214 or CS3215) and CS4211 Preclusion(s): Nil Cross-listing(s): Nil This module is based around reading of papers on software re-engineering and reuse. Students will be jointly guided by supervisors from both the companies/organisations and the school. CS5237 Computational Geometry and Applications. Topics includes: theory of parallelism and models; shared-memory architectures; distributed-memory architectures; data parallel rchitectures; interconnection networks, topologies and basic of communication operations; principles of parallel algorithm design; performance and scalability of parallel programs, overview of new parallel computing models such as grid, cloud, GPGPU. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3243 Preclusion(s): Nil Cross-listing(s): Nil This module covers advanced topics in artificial intelligence that are of current research or application interests. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): CS1231 or MA1100; Programming experience is preferred. CS6221 Modeling and Analysis Techniques in Systems Biology (defunct). Modular Credits 4 Workload: 2-1-1-3-3 Prerequisite(s): CS1010 or its equivalents Preclusion(s): CS1020E, CS2020, CS2030, CS2040,CS2040C Cross-listing(s): Nil This module is the second part of a three-part series on introductory programming and problem solving by computing. It explores two modern programming paradigms, object-oriented programming and functional programming. Modular Credits: 6 Workload: 0-0-0-40-0 Prerequisite(s): IFS4201 Preclusion(s): NilCross-listing(s): Nil This module aims to equip students with a final exposure to working in industry with theories, methods and applications of information security learnt. Modular Credits: 4 Workload: 2-2-1-3-2 Prerequisite(s): Nil Preclusion(s): CS1010 or its equivalents; Engineering students Cross-listing(s): Nil This module introduces the concepts of programming and computational problem solving, and is the first and foremost introductory module to computing. Cross-listing(s): Nil Topics will be of an advanced computer science nature and will be selected by the Department. Students will learn higher-layer network protocols and develop network applications (client/server, P2P) via socket programming. How does one write papers or give presentations with great impact? Distributed query processing: Factors governing query optimisation; Centralised query optimisation; Ordering of fragment queries; Distributed query optimization algorithms. CS3103L Computer Networks Laboratory (defunct). At the end of the module, students are expected to be able to design and develop a Web application, to appreciate the underlying technology needed to build a Web application, and to develop a fundamental understanding of related computer science concepts. They will also sharpen their communication skills through close team interactions, consultations, and formal presentations. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3243 Preclusion(s): Nil Cross-listing(s): Nil This is a module that contains both the theory and practice of building knowledge-based systems. (It assumes that the student has already done one course on design and analysis of algorithms equivalent to CS3230.). The students are required to analyse and critique special effects in movies. Cross-listing(s): Nil This module introduces different techniques of designing and analysing algorithms. Topics covered include the approximation capabilities of common function classes used for machine learning, such as decision trees, neural networks, and support vector machines, the sample complexity of learning different function classes and methods of reducing the estimation error such as regularization and model selection, and computational methods used for learning such as convex optimization, greedy methods, and stochastic gradient descent. 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