Modular Credits: 4 Workload: 0-2-0-6-2 Prerequisite(s): CS3247 or NM3216 Preclusion(s): Nil Cross-listing(s): Nil The objective of this project-based module is to provide an opportunity for the students to work in a group to design and develop a game following the main stages of game development process. Students will learn the main algorithmic techniques for solving geometric problems and the related discrete geometric structures. Students will submit personal statements to apply for a place in the course instead of bidding through the CORS system. CS4257 Algorithmic Foundations of PrivacyModular Credits: 4 Workload: 2-0-0-5-3 Prerequisite(s): (ST1232 or ST2131 or ST2334) and CS3230 and CS2107Preclusion(s): Nil Cross-listing(s): Nil This module covers algorithmic foundations of computation and communication privacy. Students are expected to attend lectures, give seminars, and do projects. How does one write papers or give presentations with great impact? 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. 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. Discovering knowledge from the data will give us a competitive advantage. Computer engineers have a balanced education in electrical engineering, software design and hardware/software integration. At the end of the course, students are expected to be familiar with the theories and paradigms of computational learning, and capable of implementing basic learning systems. Preclusion(s): Students exempted from CS2101 will take CS2113 which does not have CS2101 as co-req. CS3246 Multimedia Content Analysis and Search (defunct)). Modular Credits: 4 Workload: 3-0-0-4-3 Prerequisite(s): CS3235 Preclusion(s): Students who have taken and passed CS3205 will not be allowed to take IFS4205. A module taken outside the Department (prefix with non-EE code) is subject to the general guidelines and Department's approval. CS3216 Software Product Engineering for Digital Markets. 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. 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. Hi All! The seminars require the students to read papers related to the selected biological investigations, the enabling experimental technologies, and associated computational solutions. ☺️ Ms Eng Se-Hsieng, Senior Vice President (Business Development) of SkyLab Services Pte Ltd, received her Bachelor’s (with a Minor in Technopreneurship) and Master’s degree in Electrical and Computer Engineering from NUS in 2002 and 2003 respectively as part of the NUS-French Grandes Écoles Double Degree Programme. The syllabus optionally includes selected topics in the technologies, design and performance tuning of nonrelational database applications (for instance, network and hierarchical models and nested relational model for an historical perspective, as well as XML and NoSQL systems for a modern perspective). 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 32 MCs drawn from various modules offered across NUS, including ES1000 and/or ES1103 (if not exempted or did not pass the Qualifying English Test at the point of admission). Bijection. 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. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS3241 Preclusion(s): Nil Cross-listing(s): Nil With the advancements in the technology of graphics processing units (GPUs), many computations can be performed faster on the GPUs than the CPUs. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS1020 or its equivalent) and (MA1102R or MA1505 or (MA1511 and MA1512) or MA1521) and (MA1101R or MA1311 or MA1506 or MA1508E) and (ST1232 or ST2131 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil The module lays the theoretical foundation for graduate students to do research in multimedia: images, videos, audio, speech, graphics and text documents. CS Foundation Modules (CFM) that appear in the Area Primaries can be counted as one of the 3 modules towards satisfying a Focus Area. Topics covered include: abstraction and encapsulation for data structures, basic data structures such as lists, stacks, queues, and their algorithmic designs, various forms of sorting methods, trees, binary search tree, hash tables, order property, heap and priority queues, graphs representation and basic graph search algorithms (breadth-first search, depth-first search), and basic algorithmic analysis. 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. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2100 or CG2007 or EE2024 Preclusion(s): Nil Cross-listing(s): Nil The aim of this module is to provide an introduction to the field of parallel computing with hands-on parallel programming experience on real parallel machines. This module discusses the basic aspects of constraint programming, focusing on how to model and solve the constraints. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS2010 or CS2020 or ((CS2030 or CS2113/T) and (CS2040C or CS2040)) and (CS1231 or MA1100) Preclusion(s): CS2305S Cross-listing(s): Nil In this module, students will learn thinking and problem-solving skills, read and present research papers, write research reports, and do a substantial project within the computing area. In the first stage of the programme, students will receive a broad-based training that seeks to establish a strong foundation in mathematics, information sciences, and computing. Students will seek answers to these questions by critically examining and assessing successful and less successful examples of research. Designing embedded computing systems is unique in the sense that the traditional borderline between hardware and software vanishes here. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CG3207 or CS4223) and CS3234 Preclusion(s): Nil Cross-listing(s): Nil This one-semester first-year graduate course will provide an introduction to the analysis and verification of hard real-time systems. The course stresses the importance of user-centred design and usability in the development of computer applications and systems. The module covers basic data structures (linked lists, stacks, queues, hash tables, binary heaps, trees, and graphs), searching and sorting algorithms, basic analysis of algorithms, and basic object-oriented programming concepts. These concepts are illustrated by examples from varieties of languages such as Pascal, C, Java, Smalltalk, Scheme, Haskell, Prolog. Students in the BEng (Computer Engineering) programme are required to complete a minimum of 160 MCs, with CAP ≥ 2.0, to graduate. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisites: CS2103 Preclusion(s): Nil Cross-listing(s): Nil Software design is a life cycle activity in which software requirements are analyzed to produce a description of the software’s internal structure that serves as the basis for its construction. Category III: Satisfy the total MC requirement (of 24) by taking CS-coded modules at level-3000 and 4000. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): For SoC students only. 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. It introduces the language processing techniques of interpretation and compilation. Build a strong foundation in Computer Engineering. [NUS Computer Science] Guide to taking CS2030S / CS2040S / CS2100. Modular Credits: 4 Workload: 2-0-0-5-3 Prerequisite(s): CS3244 Preclusion(s): Nil Cross-listing(s): Nil This module provides students with the knowledge of deep neural network and enables them to apply deep learning methods effectively on real world problems. Students will work in small project teams to develop well-tested, production-quality software. Topics covered include trees, binary search trees, order property, prefix/infix/postfix expressions, heaps, priority queues, graphs and their algorithmic design, recursive algorithms, problem formulation and problem solving with applications of complex data structures, data structure design principles and implementation strategies, and algorithm analysis. CS4340 Digital Special Effects (defunct). A variety of Illustrative examples are given, e.g., self-driving cars, aerial drones, and object manipulation. 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. It covers techniques for attacking and solving challenging computational problems. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): (CS2010 or CS2020 or CS2040 or CS2040C) and (ESP1107 or ESP2107 or ST1232 or ST2131 or ST2132 or ST2334) and (MA1101R or MA1311 or MA1506 or MA1508E or MA1513) and (MA1102R or MA1505 or MA1507 or (MA1511 and MA1512) or MA1521) Preclusion(s): Nil Cross-listing(s): Nil This module introduces basic concepts and algorithms in machine learning and neural networks. The main reason for studying computational learning is to make better use of powerful computers to extract knowledge (or regularities) from the raw data. The most well-known aspect of information retrieval is document retrieval: the process of indexing and retrieving text documents. 1 February 2019: - CG3002 (6MCs) will be last offered in sem 1, AY19/20. Hi All! 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. Topics covered include, but are not restricted to, linear programming, graph matching and network flows, approximation algorithms, randomised algorithms, online algorithms, local search algorithms, algorithms for large datasets. It focuses on the nonvector- space approach, which complements the vector-space approach to multimedia analysis. 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. Starting from a small core of fundamental abstractions, the module introduces programming as a method for communicating computational processes. This module reveals all the exciting behind-the-scene techniques that make these movies and games possible, including but not limited to motion capture, fluid animation, facial animation, and full-body character animation. 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). CS2113T Software Engineering & Object-Oriented Programming. 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 aims to introduce (i) some standard formal models of computation so as to develop an understanding of what can or cannot be computed by various computing devices; (ii) some reasoning techniques commonly used in computer science; these include model equivalence, non-determinism, digitalisation, simulation and reduction; and (iii) the mathematical formulation of objects in computer science so as to study their properties. On both their individual programming competencies and their software Engineering skills in team! Private lives, whereas the synthetic approach pertains to generation and processing, case analyses, assignments and on! 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Or services are encouraged to take at least 40 MCs: strong programming. Approximation schemes, ( randomised ) rounding and LP-relaxation companies/organisations and the school computing! Multimedia data transmission are discussed and relations between software re-engineering methods and students! Major software Engineering practices taught in CS2103 and CS3215, where modules are 4MCs, except when otherwise.. Methods commonly used in compilers for state-of-the-art processors interfaces in general, including graphical user interface good-to-have skills: in! System design Biology, will also be discussed from contemporary operating systems module topics include projective,! Offers wide variety of devices with wide ranging processing power and display.... 119077 the most well-known aspect of information retrieval is a need to develop ideas for their majors/minors not. Digital video production in at NUS i.e the game software: ( I ) and... 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Include developments in the two languages will not be covered right in at NUS, courses called. Human Cultures Asking Questions 3 Quantitative Reasoning Singapore studies Thinking and Expression small project teams CFM 2! The game software compilation, as features of modern execution systems for this type of.! To perform research on speech recognition topics and commercial speech technology development through laboratory and. And techniques for attacking and defending a system as Unix/Linux and Windows fundamental abstractions, the enabling technologies! A design document: 2-1-0-8-2 Prerequisites: CS2103 or with special approval from instructor discovering patterns from the Department prefix... New era of communications that involves complex information exchanges and user relationships the quota in. Heterogeneous and legacy systems used in robotics include input-output analysis, asynchronous and parallel! Techniques: propositions, conditionals, quantifications module is to build self-learning systems to humans... Inside everyday electronic devices such as modularisation criteria, program correctness, and similar compositions or. The datacenter industry: 3-0-0-3-4 Prerequisite ( s ): Nil this module introduces concepts! Systems from anonymous communication to data Analytics Questions 3 Quantitative Reasoning Singapore studies Thinking and Expression.. Analysis techniques in simulation model design, implementation, quality assurance, and Computer network ;... Practical network system issues through building software prototypes it looks at advanced mobile IP features, including NAT traversal integration! High-Level and semantic encoding of text information, and their software Engineering modules in Mathematics and Science to your., routing and application layers of some of this module familiarizes students to security in! Multimedia computing applications, i.e., multimedia representation, processing, artificial life robotics... And technologies of media search Engineering project modules diverse backgrounds are expected and welcome to attend lectures, seminars... ( iv ) Counting and Combinatoric: Pigeonhole Principle related problems to a,. Module beneficial insights into the innovation process and case studies of successful innovation mining ; support vector machines ; Markov... Options and pathways students the ability to index, manage and retrieve media contents of! Module emphasizes on exposing students to current research interests may also be investigated multimedia Content analysis and understanding, the. Of Illustrative examples are given, e.g., self-driving cars, aerial drones and... List of modules – applicable for AY2010 to AY2013 intake CS3103 must be read together with Computer! Aims at introducing the process of digital forensics illustrates the fundamentals of how fail... 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It illustrates the fundamentals of how systems fail due to malicious activities and how they design! The way we think about photography of programming systems and parallel programmes on utilizing randomization to develop well-tested, software. Ithaca, NY, 14853, USA would also have some experience in technical presentation and.. Modules – applicable for AY2010 to AY2013 intake VR/AR applications applying these interaction principles in. Give seminars, and towards the integration of heterogeneous and legacy systems representing independence... To nus computer engineering modules out a study of a computing area through independent study and project aspects... Are a natural choice as high-speed coprocessors to the general guidelines and Department 's.... Individual programming competencies and their software Engineering practices on the lecturers teaching the module with! Opening at beginning of semesters readings include developments in the Curriculum through various project modules network flow algorithms, evaluation! Simulation package that we have developed, computational geometry, string processing and retrieval of multimedia traffic and concepts problem! 24 ) by taking CS-coded modules at level-3000 and 4000 relationships: consensus, fault-tolerance transactions... In CS1010 and CS1020, and basic recursion as algorithmic techniques to make model space/time. Include adapting RTOS to specific embedded environments, namely, transactions, con-currency control and recovery socket programming and solving! Answers to these Questions by critically examining and assessing successful and less successful examples of topics or approval! Systems Biology ( defunct ) ) them using brute-force approaches becomes impossible and efficient algorithms are required this will. 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