Starting from a small core of fundamental abstractions, the module introduces programming as a method for communicating computational processes. The second part covers the analysis and retrieval of multimedia contents, including text, image and video. The focus will be on designing IoT systems that balance both the functional and non-functional (communication bandwidth, security, safety, power) requirements. It examines the main system components for sensing, decision making, and motion control and importantly, their integration for core robot capabilities, such as navigation and manipulation. Our Structure; … To enable some degree of specialisation, the technical electives offer a variety of modules for a student to specialise in their area of interests. Modular Credits: 4 Workload: 2-0-1-5.5-1.5 Prerequisite(s): (CS2010 or CS2020) and MA1101R, MA1521, CS3241. Both the theoretical and practical aspects of biometrics authentication will be discussed. This module provides an in-depth study of code optimisation techniques used in compilers for state-of-the-art processors. It is the first and foremost introductory course to computing and is equivalent to CS1010 and CS1010E Programming Methodology. Topics covered by this module include: speech signal processing, automatic speech recognition (ASR), continuous speech recognition, acoustic modelling using the Hidden Markov Model (HMM), language modelling for ASR and advanced speech recognition techniques for state-of-the-art large vocabulary continuous speech recognition (adaptation and robustness, discriminative training and decoding strategies). This module introduces the design, development and debugging of parallel programmes. 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. CS2101 and CS2103 … It introduces the language processing techniques of interpretation and compilation. Modular Credits: 4 Workload: 2-1-0-5-2 Prerequisite(s): CS2010 or CS2020 or (CS2030 or CS2113/T) and (CS2040 or CS2040C) Preclusion(s): Nil Cross-listing(s): Nil This module discusses the basic concepts and methods of information retrieval including capturing, representing, storing, organizing, and retrieving unstructured or loosely structured information. The objective of this module is to familiarize the students with common attacks and protection mechanisms, as well as general system administration and development of secured software. Asking Questions 3 3: RVRC students may read GEM1917 Understanding & Critiquing as fulfilling the "Asking Questions" pillar. It covers techniques for requirement elicitation and specification that provide sound base for architectural design. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3223 or an equivalent course on database system implementation Preclusion(s): Nil Cross-listing(s): Nil This course covers novel application of database concepts and techniques to the processing, dissemination, and integration of data on the Web. Throughout the course, students will learn the design principles and interactive solutions in application domains such as safety, security, surveillance, biomedical informatics and healthcare, or in specific technological areas such as interactive and digital media, social computing, tangible user interface, human robot interaction, and mobile HCI. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3240 Preclusion(s): Nil Cross-listing(s): Nil This module covers advanced topics in human computer interaction that are of current research or application interests. Preclusion(s): Nil Cross-listing(s): Nil This module focuses on the deductive and algorithmic aspects of both classical and non-classical logics. Upon completion of this module, students should be able to perform research on speech recognition topics and commercial speech technology development. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CS1010 or its equivalent Cross-listing(s): Nil This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. In this module, students will learn various massive data processing techniques that are used in data science with emphasis on the algorithmic and mathematical properties of these techniques. As a NUS CS Senior myself, I would like to give some insight and possibly some room for discussion as well. Good-to-have background: CS4342, CS5240, Physics I, Multivariable Calculus, Machine Learning. Student selection process will be enforced. Topics: Introduction — Characteristics of Distributed Systems; Process Management Communication in Distributed Systems; Distributed Synchronisation; Distributed Real-time Systems; File Systems; Naming Security; Fault Tolerant Distributed Systems; Distributed Simulation; WWW as an application of Distributed System. At the end of the module, the students are expected to understand secure programming practices, be able to analyse and check for impact of malicious inputs in programs, and employ specific testing techniques which can help detect software vulnerabilities. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2103 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil Before software can be designed, its requirements must be well understood. Students will have hands-on experience using a simulation package that we have developed. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3211 or CS4231 Preclusion(s): Nil Cross-listing(s): Nil Since computer networks and clusters are becoming more and more ubiquitous, the use of parallelism is no longer restricted to privilege access to powerful supercomputers. It is a discipline that combines elements of both Electrical Engineering and Computer Science. Students will also gain a first experience in technical presentation and writing. The project duration is expected to be approximately 16 weeks (full-time). Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): Nil Preclusion(s): Nil Cross-listing(s): Nil This module aims to provide an overview of the design, management and application of cloud computing. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): CS2010 or CS2020 or ((CS2040 or CS2040C) and (CS2030 or CS2113/T)) Preclusion(s): Nil Cross-listing(s): Nil This module provides the students with theoretical knowledge and practical skill in the implementation of programming languages. Singapore Studies Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS4212 or CS4215 Preclusion(s): Nil Cross-listing(s): Nil Programme analysis are static (compile-time) techniques for computing approximate and yet reliable information about the dynamic behaviour of programmes. This course aims to bring in the latest advanced development in media technology to the postgraduates. 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. EE3408/C Integrated Analog Design: 5. Topics include: (i) Logic and proof techniques: propositions, conditionals, quantifications. The module also provides students the opportunity to understand the methodology involved in software-engineering research. Research-Based Programmes. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3245 and CS3246 or their equivalent Preclusion(s): Nil Cross-listing(s): Nil This module is targeted to graduate students of computer science and information systems wishing to understand the issues in building, using and maintaining large volumes of knowledge in digital libraries. It aims to provide students with advanced technical knowledge in evaluating, designing, and implementing an efficient and expressive programming language/system. Modules PLEASE NOTE THAT THE DEPARTMENT RESERVES THE RIGHT TO CHANGE THE … Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS3230 and (MA1101R or MA1311 or MA1506 or MA1508E) Preclusion(s): Nil Cross-listing(s): Nil This module covers common algorithmic techniques for solving optimisation problems, and introduces students to approaches for finding good-enough solutions to NP-hard problems. Emerging topics of current research interests may be included as well. It covers the design of media search engine, the extraction of media features and their indexing, media concept annotation, media search paradigms, and interactive search. 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. Topics include: performance analysis overview; measurement techniques and tools including workload characterisation, instrumentation, benchmarking, analytical modelling techniques including operational analysis, stochastic queuing network analysis; performance of client-server architectures; capacity planning; case studies. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3211 or CS3212 or CS4212 Preclusion(s): Nil Cross-listing(s): Nil This module discusses the contemporary concepts in the design and implementation of major programming languages and systems. I have seen that quite a number of posts are present here asking about whether one should take CS2030S / CS2040S / CS2100 together for the incoming semester. Modular Credits: 8 Workload: 2-2-0-10-6 Prerequisite(s): CS2103/T or CS2113/T  Preclusion(s): CS3201, CS3202 Cross-listing(s): Nil This module provides students with hands-on experience in working in project groups through a complete SDLC to develop a well-designed, well-tested, large-scaled software system. Students will learn about the research issues and state-of-the-art techniques that arise from the intersection of database and Web technologies. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS3243 or CS3245) and (ST1232 or ST2131 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil This module deals with computer processing of human languages, emphasising a corpus-based empirical approach. It introduces the development of the mobile IP protocol, and addresses the practical application of mobile IP in real-world networking environments. This module is appropriate for B.Comp. Software engineering issues such as modularisation criteria, program correctness, and software quality will be covered. 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 CS5247 Motion Planning and Applications (defunct). The module will help students to design privacy-preserving mechanisms for a range of systems from anonymous communication to data analytics. The module emphasizes on the understanding of the principles of neural networks and deep learning; practical guidelines and techniques for deep learning; and their applications. Topics covered include: Statistical parsing, Word sense disambiguation, SENSEVAL, co-reference resolution, machine translation, question answering. # There is a 60 MCs limit for Level-1000 modules, excluding CFG1010 (2 MCs), CFG1002 (2 MCs) and ES1103 (4 MCs). The module covers the main topics common to multimedia computing applications, i.e., multimedia representation, processing, analysis, and synthesis. These include: Specialised methods for specific application domains (such as embedded systems or Web systems), in-depth study of software engineering sub-disciplines (such as testing or maintenance), as well as the issues of programming language support for software engineering. Computer Engineering encompasses much of what we do today, be it in the industry or our private lives. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3223 Preclusion(s): Nil Cross-listing(s): Nil This module is concerned with the performance-related database administration issues. Modular Credits: 4 Workload: 2-0-1-4-3 Prerequisite(s): CS1020 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil This module aims to train students to be proficient in dealing with UNIX systems. It covers pre-production, production and post-production processes, focusing on main activities such as storyboarding, camera, lighting, audio/sound, directing, recording and digital editing. Modular Credits: 4 Workload: 3-0-1-3-3Prerequisite(s): CS1010 or its equivalent Preclusion(s): CS1020, CS1020E, CS2020, CS2010, CS2040Cross-listing(s): Nil This module introduces students to the design and implementation of fundamental data structures and algorithms. Topics include: FPGAs, high-level programming of FPGAs, DSP, and embedded microprocessor, embedded software development, real-time operating systems, and hardware/software codesign. CS4220 Knowledge Discovery Methods in Bioinformatics. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): At least grade A- in (CS2010 or CS2020 or (both CS2030 and CS2040)) or special permission Preclusion(s): Nil Cross-listing(s): Nil This module aims to prepare students in competitive problem solving. 3: RVRC students may read GEQ1917 Understanding & Critiquing Sustainability as fulfilling the "Asking Questions" pillar. Topics include the design principle of instruction set, memory hierarchy, pipeline design techniques, RISC and vector computer. The module emphasises engineered design, efficient implementation and rigorous testing of software, as well as effective communications among students. Our Computer Engineering programme will provide you with in-demand skills in electrical engineering, computer hardware design, and software. Ability to index, manage and retrieve media contents is of paramount importance develop ideas for competitive positioning will into. 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