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They will be presented in connection with applications in CAD, databases, geographic information systems, graphics and robotics. Apart from that, you also have to take the required modules for your engineering track. It introduces logic as a means for specifying, verifying and reasoning about computer programmes. This enables the students the ability to understand semantics specifications and to develop new ones for new languages. Preclusion(s): Nil Cross-listing(s): Nil This module aims to equip students with a first exposure to working in industry with theories, methods and applications of information security learnt during the first year of university education. One way of dealing with these problems is to design polynomial time algorithms that give a provably good approximation of the optimal solution. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): CS2010 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil This module provides the students with theoretical knowledge and practical skill in design and implementation of programming languages. 1. It looks at advanced mobile IP features, including NAT traversal, integration with IPSec, and network mobility. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS4248 Preclusion(s): Nil Cross-listing(s): Nil The module aims to prepare students to embark on research in natural language processing (NLP). Concurrency control: Concurrency control in centralised database systems; Concurrency control in DDBSs; Distributed concurrency control algorithms; Deadlock management. This module aims at introducing the process of digital media production, in particular, video production. Human Cultures Students will be exposed to concepts from distributed systems, operating systems, security and cryptography, networking and embedded systems. The course will highlight issues facing companies with new products and services in an ever-changing digital marketplace. The exact topics to be taught will depend on the lecturers teaching the module. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS2220 Preclusion(s): Nil Cross-listing(s): Nil This lecture/seminar-based module introduces some biological investigations enabled by the latest experimental technologies in biology. This module aims to introduce concepts, methods and tools for social and digital media analytics, and in the application and management of such analytics efforts in industry sectors such as telecommunications and consumer retail. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS1020 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil The objective of this module is to provide students a working knowledge of computer performance evaluation and capacity planning. In this module, we will investigate how such sensing systems affect the notion of computer security. Students perform hands-on experiments in subnetting, dial-up service, DHCP, DNS, Multicast, RIP, OSPF, router based firewall, TCP handshaking and congestion mechanism. Candidates are expected to take graduate level modules offered by the Department to fulfil the M.Sc (Electrical Engineering) degree requirement. Take modules in Mathematics and Science to reinforce your knowledge in Computer Engineering. Efficient techniques covered include association rules mining (Apriori algorithm, correlation search, constrained association rule discovery), classifier induction (decision trees, RainForest, SLIQ; Support vector machine; Naive Bayesian; classification based on association / visualisation), cluster analysis (kmeans, k-mediods, DBSCAN, OPTICS, DENCLUE, STING, CLUSEQ, ROCK etc), and outliers/deviants detection (LOF, Distance-based outlier etc). The course combines theory and practice. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CS1010 and its equivalents Cross-listing(s): Nil This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. 125 MCs in total. Modular Credits: 4 Workload: 2-1-0-2-5 Prerequisite(s): (CS2103 or its equivalent) and CS3235 Preclusion(s): CS5439 Cross-listing(s): Nil Software engineering processes need to include security considerations in the modern world. In addition, students are exposed to various algorithm design paradigms. Students will learn about the research issues and state-of-the-art techniques that arise from the intersection of database and Web technologies. The module is taught in seminar style, and several case studies are included, e.g. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): CS1010 or its equivalents Preclusion(s): CS1020, 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. This first part focuses on the analysis of the real-world problems, formulation of the computing requirements of the desired solution that meets the user’s needs, design of the computer systems according to the requirements, and evaluation of the design. Project activities can include analyzing the security requirements, designing and implementing security systems, and attacking and defending a system. specific issues in validation of reactive embedded systems. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): CS2106 Preclusion(s): EEE & CPE students are not allowed to take this module. To gain a more in-depth knowledge, beyond the technical core, of computer technology as an enabler in the solutions of problems in various industries.Students pursuing such tracks would have both the computer application knowledge and the foundation domain knowledge in their selected industrial sector to solve most relevant problems in the sector. Important Information to Note Upon Cessation of Studies at NUS; Modules Administration; Non-Discrimination Statement; ... / Bachelor of Engineering (Computer Engineering) Programme / Recommended Semester Schedule ... National University of Singapore. CS3217 Software Engineering on Modern Application Platforms. ), interest management, scalability to large number of clients (C10K problem), cheat prevention and detection, power management, will be discussed. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CG3002 or CG4002 or CS3237 Preclusion(s): CS5476 Cross-listing(s): NilWith the advent of the Internet-of-Things, the computing paradigm is quickly changing from the traditional cyber domain to cyber-physical domain. The module will be taught using the Python programming language and topics covered include problem solving by computing, writing pseudo-codes, basic problem formulation and problem solving, program development, coding, testing and debugging, fundamental programming constructs (variables, types, expressions, assignments, functions, control structures, etc. CS1102C Data Structures and Algorithms (defunct). The module also provides students the opportunity to understand the methodology involved in software-engineering research. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): (CS1231 or MA1100) and (ST2334 or ST2131) Preclusion(s): Nil Cross-listing(s): Nil This module introduces the basics of modern information theory. Modular Credits: 4 Workload: 2-0-0-2-6 Prerequisite(s): CS3230 and (MA1101R or MA1506) Preclusion(s): Nil Cross-listing(s): Nil Many optimisation problems are known to be NP-hard. In the second part, the module deals with computer and multimedia networks, and applications associated with multimedia networking. It continues the introduction that begins in CS1010E, and emphasises object-oriented programming with application to simple data structures. The programme allows for a minimum of 20 MCs from technical electives to enable a good degree of specialisation. This module discusses the basic aspects of constraint programming, focusing on how to model and solve the constraints. Project activities can include analyzing the security requirements, designing and implementing security systems, and attacking and defending a system. Students will also be exposed to practical issues for digital markets such as growing the user base of their application, deployment of the application on the Web or in the cloud system, and validating the UI design and UX of the application. Modular Credits: 4 Workload: 3-0-0-3-4 Preclusion(s): Nil Cross-listing(s): Nil Prerequisite(s): Variable, depending on the choice of topics or departmental approval. ontology), Requirements Engineering (e.g. 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). After completing the course, students are expected to understand the basic computer graphics terminology and concepts, and to be able to design and implement simple 2D and 3D interactive computer graphics related programmes. Study groups are organised for major research areas. Topics covered include: mathematical techniques, entropy measures, fundamental limits to data compression and noisy-channel coding, examples of error-correcting codes, examples of information theoretic cryptography (commitments, secure computation, key distribution, randomness extraction). CS2101 and CS2103 … It emphasizes the creative design of innovative solutions. This module is strongly recommended for students heading towards Chemical & Bioprocess Engineering. Students will be required to complete a project using an appropriate authoring tool. Asking Questions 3 After taking the module, students will be able to apply advanced automated program analysis tools and techniques to verify, test, and debug programs, as well as be better prepared for conducting research in program analysis and apply them in related research areas. Refer to the course website for details. Students with complementary technical expertise will form project teams to work on real-world projects under the supervision of CS professors and industrial partners. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): (MA1101R or MA1311 or MA1506 or MA1508E) and (CS2040 or its equivalent) Preclusion(s): CS4277 Cross-listing(s): NilOne of the most important capability for robots such as self-driving cars, domestic mobile robots, and drones to achieve full autonomy is the ability to perceive the 3D environment. This course is meant for students who intend to (i) do research in computer science in general and algorithm design in particular or (ii) do advanced application/ software development in other areas of computer science. Computer Engineering programme is jointly offered with the Department of Computer Science ... i.e. This course aims to familiarise graduate students with the ongoing research works in interactive 3D graphics. Preclusion(s): Nil Cross-listing(s): Nil Topics will be of an advanced computer science nature and will be selected by the Department. Model design techniques include conceptual models, declarative models, functional models, constraint models, and multi-models. Topics include logical and deductive reasoning, doing proofs, inductive reasoning and statistical analysis, fallacies and psychological traps, survey skills, abstraction and modelling, problem-solving heuristics, creative thinking, decision making and reading of research papers from various computing sub-areas.

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