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 covers four main areas of software development, namely object-oriented system analysis, object-oriented system modelling and design, implementation, and testing, with emphasis on system modelling, design and implementation of software modules that work cooperatively to fulfill the system’s requirements. This module covers automata theory in depth, describes the Chomsky hierarchy, and introduces various advanced topics including automata structures, automata on infinite words, automata on trees and the learnability of classes of regular languages from queries and positive data. 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. Data science seeks to use all available and relevant data to effectively tell a story that can be easily understood by non-practitioners. Students will cultivate the importance of thinking “design” for the purpose of developing valuable, captivating and usable digital products or services. It is the first and foremost introductory course to computing. Software design consists of two activities that fit between software requirements analysis and software construction: software architectural design and software detailed design. In addition, students are exposed to various algorithm design paradigms. Singapore Studies CS5341 Computational Photography (defunct). The focus will be on designing IoT systems that balance both the functional and non-functional (communication bandwidth, security, safety, power) requirements. Modular Credits: 4 Workload: 2-0-1-3-3 Prerequisite(s): (CS1104 or CS2100 or EE2006 or EE2020) and (CS1231 or MA1100) Preclusion(s): Nil Cross-listing(s): Nil The objective of this module is to introduce formal verification techniques for validating safety critical reactive systems with specific focus on embedded systems. 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. Modular Credits: 4 Workload: 2-0-0-3-5 Prerequisite(s): CS4233 or CS5231 Preclusion(s): Nil Cross-listing(s): Nil This module aims to prepare graduate students for research and development in information security, by investigating selected topics in cryptography and information theoretic security. These issues provide a general framework within which specific techniques in particular research areas can be understood. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3230 Preclusion(s): Nil Cross-listing(s): Nil Biology data are too enormous. Before requirements can be expressed the application domain must be similarly well understood. Quantitative Reasoning As an integral part of the course, tutorials and practical assignments enforcing learning will also be given. 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. This module gives an introduction to principles, techniques, and tools to perform digital forensics. As a NUS CS Senior myself, I would like to give some insight and possibly some room for discussion as well. are becoming more and more prevalent. Topics include the design principle of instruction set, memory hierarchy, pipeline design techniques, RISC and vector computer. Take modules in Mathematics and Science to reinforce your knowledge in Computer Science. Refer to the course website or details. 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. The focus is to understand how actual operating systems work including the pragmatics, system architecture and design and implementation. The course will also introduce modern architecture for text and image search engines. This second part focuses on the development of algorithms required for the systems, implementation and testing of the algorithms and the systems, and evaluation of the systems according to the users’ requirements. 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. Its core components consist of the analytic and synthetic approaches of sound and music. EE3208 Embedded Computer Systems Design # 3. CS1102C Data Structures and Algorithms (defunct). Topics covered include axiomatic, denotational and operational semantics, type systems, template meta-programming, staged/generic programming, XML and XML processing. Students will seek answers to these questions by critically examining and assessing successful and less successful examples of research. 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. EE3407 Analog Electronics: 4. Topics include representing conditional independence, building graphical models, inference using graphical models and learning from data. List of modules – BTech (Electronics Engineering), comprise: All modules are 4MCs, except when otherwise stated. Hi All! Topics include: (i) Logic and proof techniques: propositions, conditionals, quantifications. Through a series of integrated assignments, students will learn to develop medium-scale software programs in the order of thousands of lines of code and tens of classes using object-oriented design principles and advanced programming constructs available in the two paradigms. Cross-listing(s): Nil This module introduces the necessary skills for systematic and rigorous development of software systems. 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. For CEG AY2017/18 intake and after . Apart from a variety of programming assignments, this course will also introduce students to some relevant research topics in this area. Therefore it seems unlikely that efficient algorithms to solve them will ever be found. This module is an in-depth study of some of these advanced algorithms. NUS’s 36,000 students come from 100 countries, with international students making up 20% of the undergraduate population. The module covers both classic results and, selectively, advances from recent research. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3243 and (ST1232 or ST2131 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil The module covers modelling methods that are suitable for reasoning with uncertainty. For SoC students only form project teams to develop ideas for competitive positioning following graphics forms the of. To explore their creativity while extending their skills in multimedia technologies our introductory modules topics. Security, Kerberos, SSL, trusted computing, side-channel attacks in systems Biology ( defunct ) ) synchronisation! Come from 100 countries, with international students making up 20 % the... Interaction are also covered processing: factors governing query optimisation ; load balancing conceptual and analytical tools software! Text, image and video processing, artificial life, robotics, etc ), data. 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