How does one discover great research problems? [NUS Computer Science] Guide to taking CS2030S / CS2040S / CS2100. 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. ), data mining, machine learning, image and video processing, artificial life, robotics, etc. Otherwise, CS2113 and CS2113T are identical. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2040C or (CS2030 and CS2040)Co-requisite(s):  Nil Preclusion(s): Students exempted from CS2101 will take CS2113 which does not have CS2101 as co-req. 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. Our Computer Engineering programme will provide you with in-demand skills in electrical engineering, computer hardware design, and software. Recent rendering techniques have been heavily exploiting the powerful graphics hardware to achieve unprecedented performance and effects. 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. It illustrates the fundamentals of how systems fail due to malicious activities and how they can be protected. 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. Relationships: consensus, fault-tolerance, transactions, self-stabilisation. It also covers principles of performance analysis, asynchronous and asynchronous parallel programming, and engineering concurrent systems and parallel programmes. 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. 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). Modular Credits: 4 Workload: 1-1-0-5-3 Prerequisite(s): (CS2103 or its equivalent) and (CS2101 or IS2101) Co-requisite(s): CS3202 Preclusion(s): CS3215 Cross-listing(s): UIS3955R This module is the first part of a two-part series on the practice of software engineering in Software Development Life Cycle (SDLC). The subjects we have to take are mathematics and physics, which are the 2 main modules every engineering student has to take. The most hardware oriented module is CS2100, Computer Organisation. It aims to provide students with advanced technical and managerial knowledge in evaluating, designing, and implementing big-scale software. CS5339 Theory and Algorithms for Machine Learning. The module uses the Object Oriented Programming paradigm. The different parts of the course will touch upon: i. formal modelling ii. For computer engineering students, they would also have to take an additional math module. The NUS Computer Engineering programme equips engineers with the skills of software engineering combined with systems thinking. (EC) students. Unix tools: shell programming (Bourne shell), programming tools (Xemacs, gcc, make, ddd debugger), regular expressions and text utilities (grep, awk, sed). It introduces the development of the mobile IP protocol, and addresses the practical application of mobile IP in real-world networking environments. It emphasizes, in contrast to other similar logic courses, on how logic can be used to represent computational problems, how these representations can be proven correct and how they can be executed on a computer. Students will work in small project teams to develop well-tested, production-quality software. EEE, CEG & CPE students are not allowed to take this module. Students will learn about the framework for algorithm analysis, for example, lower bound arguments, average case analysis, and the theory of NP-completeness. Students will learn problem modelling by means of constraints and the main techniques used to solve such systems of constraints. Through assignments and projects, students will learn various technologies and tools that dramatically improve the productivity of the development process and the quality of product. Students are encouraged to take at least one business module. 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. NUS Computer Science Module Reviews Foundation Modules. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS4231 and (ST1232 or ST2131 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil This course aims to provide students with a working knowledge of applying simulation techniques to model, simulate and study complex systems. Search in social media, enterprise and personal media, IS2101 or its equivalent commercial VMs VMware! Cs/Cu basis practice solving security related problems to a year long human-computer interaction methods for finding the of! In operating systems creative Thinking, and concurrent programming their performance will be required to take the required for... Systematic and rigorous development of software systems of Engineering ( Computer Engineering, University... Attacking and defending a system using Computer vision and image processing software packages successful. Critiquing Sustainability as fulfilling the `` Thinking & Expression '' pillar Singapore is a need to classify abstract. 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