The module uses the Object Oriented Programming paradigm. Hi All! Relationships: consensus, fault-tolerance, transactions, self-stabilisation. Modular Credits: 5 Workload: 3-1-1-3-4 Prerequisite(s): CS1101C Preclusion(s): CS1102, CS1102S Cross-listing(s): Nil This module is the second part of a two-part series on introductory programming from an imperative paradigm perspective. Topics to be covered include Web technologies (XML, specification languages such as DTD and XML Schema, query languages such as XPath, XQuery) and the application of database technologies (query optimisation and evaluation techniques) to manage and process data in Web-based applications. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS3235 Preclusion(s): Nil Cross-listing(s): Nil This module introduces fundamental notions and requirements in computer security, such as the concepts of confidentiality, integrity and availability, and the mechanisms that provide security in various systems and applications. This focus area explores the fundamental theories that underpin computation and information as well as algorithmic techniques to solve computational problems. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS3241  Preclusion(s): Nil Cross-listing(s): Nil Real-time graphics is driving many interactive computer applications, such as 3D games, VR, 3D modelling, and data visualization. List of Design modules – applicable for AY2010 to AY2013 intake. Cross-listing(s): Nil The objective of this module is to familiarise students with the fundamentals of computing devices. Preclusion(s): Nil Cross-listing(s): Nil This module is the second part of a two-part series on the development of large-scaled computer systems to solve real-world problems under specific themes such as healthcare, security and surveillance, tourism, etc. It continues the introduction to programming begun in CS1101C, with an emphasis on data structures and algorithms. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): (CS2010 or CS2020 or CS2040 or CS2040C) and CS2102 Preclusion(s): Nil Cross-listing(s): Nil This module provides an in-depth study of the concepts and implementation issues related to database management systems. 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. Boolean/identity/inverse functions. Topics covered include structure of an optimising compiler, the programme dependence graph, front end optimisations, instruction scheduling, register allocation, compiling for EPIC processors including predicated execution and software pipelining with hardware support, loop optimisations, dataflow analysis and optimisation, optimisations for the memory hierarchy, and automatic parallelisation. This course aims to familiarise graduate students with the ongoing research works in interactive 3D graphics. It also serves as a bridge to advanced media modules. The module covers data management concepts, conceptual (entity relationship model) and logical design (relational model) and database management (data definition, data manipulation, SQL) with relational database management systems. Model execution techniques include discussion of serial and parallel discrete-event simulation algorithms. This module is appropriate for FoS students. This mod is actually … 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. CS5339 Theory and Algorithms for Machine Learning. Modular Credits: 4 Workload: 2-0-1-2-5 Prerequisite(s): CS3219 Preclusion(s): Nil Cross-listing(s) : Nil This module covers the concepts and practice of software testing including unit testing, integration testing, and regression testing. (CS1020 or CS1020E or CS2020) or (CS2030 and (CS2040 or CS2040C)) Co-requisite(s): Students have to read CS2101 Effective Communication for Computing Professionals at the same time as this module. It focuses on OS structuring and architecture, processes, memory management, concurrency and file systems. CS5425 Massive Data Processing Techniques in Data Science. The modules are not open for selection. Examples of concurrent systems are parallel programmes that describe sets of collaborating processes. Within the above requirement though, candidate may choose to take up at most 2 modules offered from other departments (graduate modules without EE prefix code or undergraduate level 4 modules) and may have it count […] The objective is to expose the students to the basic concepts underlying various computer vision techniques and the application of current techniques for problem solving. It covers the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. Basic constructs common in the two languages will not be covered (e.g. Areas within digital libraries that will be covered include collection development, knowledge organisation, DL architecture, user behavior, services, preservation, management and evaluation and DL education and research. 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. Co-requisite(s): Students have to read CS2103T Software Engineering at the same time as this module. ), fundamental data structures: arrays, strings and structures, simple file processing, and basic recursion.This module is appropriate for FoE students. In this course, we will discuss some of this work with the aim of getting a broad overview of this area. How do molecules change shapes over time? How does one discover great research problems? 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. students apply during the NUS admissions exercise. NUS’s 36,000 students come from 100 countries, with international students making up 20% of the undergraduate population. Cross-listing(s): Nil This module introduces the basic concepts in operating systems and links it with contemporary operating systems (eg. You’ll learn lower level concepts like logic, CPU design and basic assembly programming. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CG1101, CS1010E, CS1010FC, CS1010J, CS1010S, CS1101, CS1101C, CS1101S, . Learn the basics in our introductory modules on topics such as programming methodology, digital circuits, and engineering principles and practices. Modular Credits: 4 Workload: 3-0-0-4-3 Prerequisite(s): CS3244 Preclusion(s): Nil Cross-listing(s): Nil The module aims to provide a broad theoretical understanding of machine learning and how the theory guides the development of algorithms and applications. 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. The topics include: an overview of query optimisation techniques, physical data base design, system configuration, buffer management, performance analysis and tuning techniques. Students who intend to take design-related modules must upload a letter from their home university stating the year of design modules applicants should be enrolled in during their exchange. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): (CS2010 or CS2020 or CS2040 or CS2040C) and (CS1231 or MA1100) Preclusion(s): EEE and CPE students can only take this module as a technical elective to satisfy the programme requirements or UEM but not CFM/ULR-Breadth. The main part of the course covers modelling of complex problems using constraints and rules, and the use of advanced algorithms that are supported by the constraint solvers in modern CLP systems. Modular Credits: 8 Workload: 1-1-0-10-8 Prerequisites: CS2103 and CS2301 Preclusion(s): Nil Cross-listing(s): UIS3955R The module requires students to work through, in groups, a complete Systems Development Life Cycle to develop a well-tested, production-quality large-scale software system. USP/UTCP/DDP/GEP students may read another GEM in lieu of GEK1549. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): (CS1020 or its equivalent) and (MA1101R or MA1506) Preclusion(s): Nil Cross-listing(s): Nil Motion is ubiquitous in the physical world. This module also covers automatic memory management, dynamic linking and just-in-time compilation, as features of modern execution systems. It covers essential topics including user interface models, psychology of humans and computers, user interface style, layout guidelines, GUI programming with widget toolkits, interaction models, event handling, multithreading, interacting with multimedia hardware, usability testing. This course provides an in-depth study of network attack techniques and methods to defend against them. Hi All! They will be able to identify performance bottlenecks, to predict when performance limits of a system will be exceeded, and to characterise present and future workload to perform capacity planning activities. Their progress will be monitored during the internship period, and their performance will be assessed through letter grades at the end of internship. Topics covered include linear and integer programming, network flow algorithms, local search heuristics, approximation algorithms, and randomized algorithms. There will also be exposure to in-depth knowledge on software engineering, computer architecture and computer communication networks. Preclusion(s): CS2103, CS2113, CS2113T, IS2101 or its equivalent. (Computer Engineering). Build a strong foundation in Computer Engineering. (ii) Basic techniques and algorithms: Hidden Markov model, Viterbi algorithm, supervised learning algorithms. Cross-listing(s): Nil This module introduces the necessary conceptual and analytical tools for systematic and rigorous development of software systems. The business context of re-engineering and reuse are emphasised. ; design and analysis of block ciphers; pseudorandom numbers and sequences; design and analysis of stream cipher cryptosystems; identification and entity authentication; key management techniques; Rabin public-key encryption; McEliece publickey encryption; signature schemes: RSA, EIGamal, and digital signature standard; design and analysis of hash functions; cryptographic protocols; and efficient implementations. Cross-listing(s): Nil This module introduces the necessary skills for systematic and rigorous development of software systems. Modular Credits: 4 Workload: 0-4-0-4-2 Prerequisite(s): Students have to complete ES1000 and/or ES1102 (if required to take the module/s) before reading this module. Modular Credits: 4 Workload: 2-0-1-5-2 Prerequisite(s): CS4243 or CS4247 or CS3242 Preclusion(s): CS5245 Cross-listing(s): Nil This module aims at teaching multimedia techniques for creating digital specia effects video. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CG3002 or CG4002 or CS3237 Preclusion(s): CS4276 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. ; tape compression; linear speedup; polynomial reduction; Cook’s theorem; Savitch’s theorem; translation lemma; Gap theorem; NP-completeness and NP-hard problems; probabilistic complexity classes; approximation algorithms; and interactive protocols. The module will be a seminar-based module that will expose students to current research in these areas. The module starts with motivations, background and history of knowledge-based system development. Selected topics may include: secret sharing, TCP/IP security, Kerberos, SSL, trusted computing, side-channel attacks. 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. See footnote under Specialization in Computer Engineering for CS modules listed as electives. EE3407 Analog Electronics: 4. 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: 2-0-0-4-4 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. They will acquire hands-on design skills through laboratory exercises and assignments. Good breadth in both Electrical Engineering and Computer Science: sciodat.blogspot.com . Topics covered include regular expressions, context-free grammars, lexical analysis, syntax analysis; different algorithms for parsing codes, such as top-down parsing, bottom-up parsing; translation to abstract syntax using modern parser generator technology, intermediate representation, semantics analysis, type system, un-optimised code generation, code optimisation, data-flow analysis, instruction scheduling. Asking Questions 3 The core lectures will be largely self-contained and students with diverse backgrounds are expected and welcome to attend. Designing embedded computing systems is unique in the sense that the traditional borderline between hardware and software vanishes here. The information on this page should be read in conjunction with that of the BEng (CE) Curriculum Structure.. Module Registration. Students will gain hands on experience building VR/AR applications applying these interaction principles. Topics include: Clustering analysis, classification, association rule mining; support vector machines; Hidden Markov Models. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3223 Preclusion(s): Nil Cross-listing(s): Nil Database security has a great impact on the design of today’s information systems. How many manoeuvres does it take to park a car in a tight spot? (IS) and B.Comp. Computer engineers have a balanced education in electrical engineering, software design and hardware/software integration. It examines issues, challenges, and techniques in problem representation, goal or objective specification, response selection, and action consequence for a wide range of strategic and tactical planning and decision making situations. This module focuses on building core software engineering skills and competencies in programming modern application platforms. These concepts are illustrated by examples from varieties of languages such as Pascal, C, Java, Smalltalk, Scheme, Haskell, Prolog. This module will serve as an introduction to the IoT and provide a holistic view of the entire spectrum of the IoT system architecture from the devices to the fog and the cloud computing. Take modules in Mathematics and Science to reinforce your knowledge in Computer Engineering. Debugging methods for finding the root-cause of errors in failing test cases will also be investigated. Unix system interface: file/directory manipulation, system data files, Unix processes, process control, signals, inter-process communication (pipe, FIFO), terminal I/O. Refer to the course website for details. 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. Offered by the NUS School of Computing in partnership with NUS SCALE, each certificate comprises four to six modules and can be completed in 12 to 18 months. 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. It emphasizes the creative design of innovative solutions. This module must be taken together with CS2101 Effective Communication for Technologists. It is the first and foremost introductory course to computing. CS3233Competitive Programming 2. CS1102 Data Structures and Algorithms (defunct). Students will learn the main algorithmic techniques for solving geometric problems and the related discrete geometric structures. 1 February 2019: - CG3002 (6MCs) will be last offered in sem 1, AY19/20. Upon completion, the students should be able to understand the foundations of multimedia computing, and apply computational tools to the processing of multimedia data in order to create specific applications. Students will form project teams to work on media technology projects. Preclusion(s): Nil Cross-listing(s): NilThis 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.The module covers data management concepts, conceptual (entity relationship model) and logical design (relational model) and database management (data definition, data manipulation, SQL) with relational database management systems.The module covers data warehousing concepts, data warehousing design and data warehousing with relational database management systems and tools. ), fundamental data structures: arrays, strings and structures, simple file processing, and basic recursion. 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. * CEG student's faculties refer to both Faculty of Engineering and School of Computing. Students are expected to attend lectures, give seminars, and do projects. Modular Credits: 4 Workload: 0-2-0-1-7 Prerequisite(s): Nil Preclusion(s): Nil Cross-listing(s): Nil This module introduces CS graduate students to various research areas in Computer Science. if-else, loops etc). Handling them using brute-force approaches becomes impossible and efficient algorithms are required. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS4232 Preclusion(s): Nil Cross-listing(s): Nil In computer science, automata are an important tool for many theoretical investigations. 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. CS3103 and CS3103L together count as one Area Primary. Of ) concurrent systems are parallel programmes Engineering track technical skills of software systems Office Admissions... Approach will be taken together with CS3103L Computer networks and Markov networks include divide and conquer, greedy, linking!, tutorials and practical aspects of constraint programming, backtracking and branch and bound means for specifying and Reasoning about... Technique called model Checking space/time efficient and expressive programming language/system patterns that explicate principles and application of Computer ]! 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