Student selection process will be enforced. It covers four main areas of software development, namely object-oriented system analysis, object-oriented system modelling and design, implementation, and testing, with emphasis on system modelling, design and implementation of software modules that work cooperatively to fulfill the system’s requirements. Topics covered include deterministic and non-deterministic planning, practical planning and acting under resource constraints and uncertainty, expected utility and rational decision making, decision networks, Markov decision processes, elementary game theory, and multi-agent planning and decision making. This module will introduce the main techniques for designing such algorithms. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3245 and CS3246 Preclusion(s): Nil Cross-listing(s): Nil With the proliferation digital media, more and more information is available in non-textual forms. Preclusion(s): Nil Cross-listing(s): Nil This module provides students the opportunity to explore and conceptualise new digital products or services that will impact people and enterprises. It is the first and foremost introductory course to computing. Software design consists of two activities that fit between software requirements analysis and software construction: software architectural design and software detailed design. Students will learn about the framework for algorithm analysis, for example, lower bound arguments, average case analysis, and the theory of NP-completeness. Singapore Studies Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3230 or CS3210 Preclusion(s): Nil Cross-listing(s): Nil This course will examine some fundamental issues in parallel programming and distributed computing, and the relationships between the two. Modular Credits: 4 Workload: 2-1-2-3-2 Prerequisite(s): CG2271 or CS2271 Preclusion(s): EE3304, EE/CPE students Cross-listing(s): Nil Reactive systems are real-time systems that continuously interact with the environment. The module emphasizes on exposing students to practical network system issues through building software prototypes. Modular Credits: 4 Workload: 2-1-1-4-3 Prerequisite(s): CS3240 and CS3248 Preclusion(s): Nil Cross-listing(s): Nil This course teaches students how to design and develop multimedia and Internet-based learning environments to support effective online learning and training. The course will also introduce modern architecture for text and image search engines. The module covers the main theoretical issues common to various multimedia research. CS5238 Advanced Combinatorial Methods in Bioinformatics. At the end of the course, the students will have experience in reading and critiquing research papers, and will have undertaken a substantial project on some aspects of NLP research. Quantitative Reasoning As an integral part of the course, tutorials and practical assignments enforcing learning will also be given. Advanced AI search techniques like iterative deepening, A* and heuristic search will be included. Modular Credits: 4 Workload: 2-0-0-2-6 Prerequisite(s): CS3235 Preclusion(s): Nil Cross-listing(s): Nil Digital forensics encompasses the recovery and investigation of material found in digital devices in relation to cyber crime and other crimes where digital evidence is relevant. It also serves as a bridge to advanced media modules. This module introduces the architecture of GPU, programme-writing on GPU using high-level language such as Cg, and the use of GPU in applications including computer graphics, games, scientific computation, and image processing. Topics include the design principle of instruction set, memory hierarchy, pipeline design techniques, RISC and vector computer. ... the basics in our introductory modules on topics such as programming, algorithms, networking, operating systems, and computer organisation. Modular Credits: 4 Workload: 2-1-0-2-5 Prerequisite(s): MA1521 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil This course provides an introduction to modeling and analysis techniques relevanttosystems biology with a focus on the dynamics of biochemical networks. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): CS2105 or EE3204/E or EE4204  Preclusion(s): Nil Cross-listing(s): Nil This module aims to provide an opportunity for the students to learn commonly-used network protocols in greater technical depth with their implementation details than a basic networking course. The focus is to understand how actual operating systems work including the pragmatics, system architecture and design and implementation. Distributed database design: Alternative design strategies; Distributed design issues; Fragmentation; Data allocation. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3223 Preclusion(s): Nil Cross-listing(s): Nil This module covers the topics in database management systems with current research and industrial interests and importance. By teaching the topics together with the computational tools commonly used in multimedia research, it aims to strike a balance between theoretical considerations and practical applications. It begins with an introduction to sound production, propagation and perception, followed by digital sound recording, editing, post-processing and compression. EE3208 Embedded Computer Systems Design # 3. CS1102C Data Structures and Algorithms (defunct). It covers a range of topics including network performance (throughput, delay, Little’s Law and M/M/1 queuing formula), and resource allocation and buffer management (max-min fair, round-robin and RED), intra- and inter-domain routing (RIP, OSPF and BGP), congestion control and modern variations of TCP (AIMD and Cubic TCP), peer-to-peer applications and content delivery networks (BitTorrent, Skype, Akamai), and data center networking and management (SDN and OpenFlow). How does one write papers or give presentations with great impact? CS5339 Theory and Algorithms for Machine Learning. EE3208 Embedded Computer Systems Design # 3. This module aims at introducing the process of digital media production, in particular, video production. List of modules – BTech (Electronics Engineering), comprise: All modules are 4MCs, except when otherwise stated. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2102  Preclusion(s): BT4221, CS4225  Cross-listing(s): Nil Data science incorporates varying elements and builds on techniques and theories from many fields, including statistics, data engineering, data mining, visualization, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. Topics include: (i) Logic and proof techniques: propositions, conditionals, quantifications. Through a series of integrated assignments, students will learn to develop medium-scale software programs in the order of thousands of lines of code and tens of classes using object-oriented design principles and advanced programming constructs available in the two paradigms. Cross-listing(s): Nil This module introduces the necessary skills for systematic and rigorous development of software systems. Complete at least 8 MCs of Computer Systems Team Project modules from the following pairs, or modules approved by the Department of Computer Science: CS3203 Software Engineering Project, or CS3216 Software Product Engineering for Digital Markets and CS3217 Software Engineering on Modern Application Platforms, or Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS4232 Preclusion(s): CS4230 Cross-listing(s): Nil The aim of this module is to study the various measures of difficulty of problem-solving in computing, and to introduce some techniques in theoretical computer science such as nondeterminism, digitalisation, simulation, padding, reduction, randomisation and interaction. Both Electrical Engineering, software version control, and rigorous testing state, snapshots, message ordering, centralised peer-to-peer. Is2101 or its equivalent practices, this course presents techniques that address distinctive... 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