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. CS1101S Programming Methodology (short summary only) – 13/14 Sem 1; CS2105 Computer Networks – 14/15 Sem 1; CS2106 Introduction to Operating Systems – 14/15 Sem 1; CS3230 Design and Analysis of Algorithms – 14/15 Sem 2; ST2334 Probability and Statistics – 14/15 Sem 1 In the module, we will cover the algorithms related to genome annotation, motif identification, proteomics, population genetics, microarray, etc. Students will learn about the framework for algorithm analysis, for example, lower bound arguments, average case analysis, and the theory of NP-completeness. Preclusion(s): Nil Cross-listing(s): Nil This module focuses on the deductive and algorithmic aspects of both classical and non-classical logics. This module introduces the theory, design and technologies of media search. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS3223 Preclusion(s): CS4221 Cross-listing(s): NilThis module addresses the design and performance tuning of database applications. Students will also sharpen communication skills through close team interactions, consultations, and formal presentations. 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. This module covers the following topics: intrusion detection, DNS security, electronic mail security, authentication, access control, buffer overflow, memory and stack protection, selected topics in application security, for instance, web security, and well-known attacks. (iii) Words: part-of-speech tagging. (EC) students. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): CS1020 or CS1020E or CG1103 Preclusion(s): CS2020, CS2030, CS2040, CS2040C Cross-listing(s): Nil This module is the third part of a three-part series on introductory programming and problem solving by computing. Students will embark on a good-sized embedded system project on an ARM-based platform, which will include producing detailed specifications and design documents, implementing the application system, and demonstrating that their prototype meets the specifications. This module introduces the architecture of GPU, programme-writing on GPU using high-level language such as Cg, and the use of GPU in applications including computer graphics, games, scientific computation, and image processing. The module covers basic data structures (linked lists, stacks,queues, hash tables, binary heaps,trees, and graphs), searching and sorting algorithms, and basic analysis of algorithms. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): (CS1020 or CS1020E or CS2020) or ((CS2030 and (CS2040 or CS2040C)) Preclusion(s): CS2103T, CS2113, CS2113T. Typical outcomes are the software architecture and the interfaces between components, specified in a design document. * CEG student's faculties refer to both Faculty of Engineering and School of Computing. Modular Credits: 4 Workload: 2-0-0-2-6 Prerequisite(s): CS2104 Preclusion(s): Nil Cross-listing(s): Nil The immense growth in the complexity of software has increased the scope of errors, which are often critical. The module is taught in seminar style, and several case studies are included, e.g. Welcome to the official page of the NUS ECE. CS2113 Software Engineering & Object-Oriented Programming. The NUS Computer Engineering programme equips engineers with the skills of software engineering combined with systems thinking. The seminars require the students to read papers related to the selected biological investigations, the enabling experimental technologies, and associated computational solutions. Also covered are the mathematical foundations of CLP. are becoming more and more prevalent. How does one write papers or give presentations with great impact? It will also look at how these techniques can be adapted to support database management in emerging technologies (e.g., parallel systems, peer-to-peer systems, cloud computing). 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 continues the introduction to object-oriented programming begun in CS1101, with an emphasis on data structures and algorithms. The EE curriculum enables students to design a customized programme comprising a specific set of modules, tailored to meet their individual interests and career goals. Students will be jointly guided by supervisors from both the companies/organisations and the school. Topics covered include normalisation theory (functional, multi-valued and join dependency, normal forms, decomposition and synthesis methods), entity relationship approach and SQL tuning (performance evaluation, execution plan verification, indexing, de-normalization, code level and transactions tuning). CS5238 Advanced Combinatorial Methods in Bioinformatics. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CS1010 or its equivalent Cross-listing(s): Nil This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. The main content has five parts: rule-based programming language, uncertainty management, knowledge-based systems design, development and life cycle, efficiency in rule-based language and knowledge-based systems design examples. ... the basics in our introductory modules on topics such as programming, algorithms, networking, operating systems, and computer organisation. EE4214/E Real-time Embedded Systems: 7. B.Eng Programmes: NOC Internship Courses: TR3201 Entrepreneurship Practicum (8 MCs) TR3202 Start-up Internship Programme (12 MCs) TR3203N Start-up Case Study & Analysis (8 … Computer engineers have a balanced education in electrical engineering, software design and hardware/software integration. A student-centric approach will be adopted to encourage independent and collaborative learning while engaging students in team-based projects. The internship duration will be approximately 12 weeks full-time. 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 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. Basic constructs common in the two languages will not be covered (e.g. Characteristics of real-time and multimedia traffic and concepts of QoS for multimedia data transmission are discussed. Topics include: FPGAs, high-level programming of FPGAs, DSP, and embedded microprocessor, embedded software development, real-time operating systems, and hardware/software codesign. Exchange students are required to take at least 12 modular credits (MCs) per semester and no more than 20 MCs. This course will help prepare students towards a research career in networking. The detailed programme is shown in the next page. Advanced data structures such as B-trees and AVL trees are also covered. A review of pipelined processor design and hierarchical memory design is followed by advanced topics including exploitation of instruction-level parallelism through dynamic instruction scheduling and speculation, exploiting thread-level parallelism through multiprocessors, and optimizations for memory and storage subsystems. 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). 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. Selected advanced topics such as geometric transformation, and 3D user interfaces, multiple-user interaction and real-time interaction are also covered. NUS’s 36,000 students come from 100 countries, with international students making up 20% of the undergraduate population. CS3103L Computer Networks Laboratory (defunct). EE3407 Analog Electronics: 4. CS1101S Programming Methodology (short summary only) – 13/14 Sem 1; CS2105 Computer Networks – 14/15 Sem 1; CS2106 Introduction to Operating Systems – 14/15 Sem 1; CS3230 Design and Analysis of Algorithms – 14/15 Sem 2; ST2334 Probability and Statistics – 14/15 Sem 1; Software Engineering Focus Area. Students will acquire crucial skills on testing and debugging through hands-on assignments. 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). Throughout the module, particular emphasis will be placed on cost-performance-power-reliability trade-offs in designing the different architectural components. The module also covers algorithmic and programming language toolkits used in problem solving supported by the solution of representative or well-known problems in the various algorithmic paradigms. Modules; Technical Electives; Projects; Outreach; Recommended Schedule; Class Timetables ; Computer Engineering; BTech (EE) Overview; Objectives & Outcomes; Degree Requirements; Modules; Apply Now; Admissions. Modular Credits 4 Workload: 2-1-1-3-3 Prerequisite(s): CS1010 or its equivalents Preclusion(s): CS1020E, 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. It will contain reflections, opinions, and similar compositions about or related to CG1413. 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. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS1020 or CS1020E or CS2020 or ((CS2030 or CS2113/T) and (CS2040 or CS2040C)) Preclusion(s): CS3246 Cross-listing(s): Nil This module introduces students to (i) the fundamental principles, theory, algorithms, and data structures behind digital representation, compression, synchronization, and processing of image, audio, and video data types, and (ii) challenges and issues in developing media-rich applications, such as media streaming and media retrieval. Students should check this page for updates especially closer to the module registration period. The second part covers the analysis and retrieval of multimedia contents, including text, image and video. The analysis will provide better understanding of the concerns and interests of users, and uncover live and emerging events that will affect the community. Cross-listing(s): Nil This course aims to provide a broad introduction to computer networks and some appreciations of network application programming. CS2040S mainly teaches you Data Structures and Algorithms (Java) which are critical for most job interviews. CS3103 and CS3103L together count as one Area Primary. They extend and provide in-depth coverage of material in earlier prerequisite OS modules. It is a discipline that combines elements of both Electrical Engineering and Computer Science. Cross-listing(s): Nil This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. 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. Modular Credits: 2 Workload: 2-0-1-0-3 Prerequisite(s): CS1020E Preclusion(s): Nil Cross-listing(s): Nil The module aims to train students who have learned data structures and algorithms in C++ to programme in Java. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2102 or IT2002 Preclusion(s): BT4221, CS5425  Cross-listing(s): Nil Data science incorporates varying elements and builds on techniques and theories from many fields, including statistics, data engineering, data mining, visualization, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. CS2020 Data Structures and Algorithms Accelerated, CS2101 Effective Communication for Computing Professionals (hosted by CELC), CS2107 Introduction to Information Security, CS2220 Introduction to Computational Biology, IFS2200 Information Security Immersion Programme, CS3211 Parallel and Concurrent Programming, CS3217 Software Engineering on Modern Application Platforms, CS3218 Multimodal Processing in Mobile Platforms, CS3221 Operating Systems Design and Pragmatics, CS3225 Combinatorial Methods in Bioinformatics, CS3231 Theory of Computation (upgrade to CS4232), CS3243 Introduction to Artificial Intelligence, CS3246 Multimedia Content Analysis and Search, CS3271 Software Engineering for Reactive Systems, CS3343 Digital Media Production (defunct), CS4211 Formal Methods for Software Engineering, CS4215 Programming Language Implementation, CS4220 Knowledge Discovery Methods in Bioinformatics, CS4221 Database Applications Design and Tuning, CS4240 Interaction Design for Virtual and Augmented Reality, CS4243 Computer Vision and Pattern Recognition, CS4245 Multimedia E-Learning Environments (no longer offered), CS4249 Phenomena and Theories of Human-Computer Interaction, CS4257 Algorithmic Foundations of Privacy, CS4271 Critical Systems and Their Verification (defunct), CS4273 Embedded Software Design Project (defunct), CS4274 Mobile and Multimedia Networking (defunct), CS4345 General-Purpose Computation on GPU, CS4346 Game Console Programming (defunct), IFS4201 Information Security Industry Capstone Project, IFS4202 Information Security Practicum Programme, IFS4205 Information Security Capstone Project, CS5220 Databases and the Web (no longer offered), CS5225 Parallel & Distributed Database Systems (defunct), CS5228 Knowledge Discovery and Data Mining, CS5232 Formal Specification & Design Techniques, CS5233 Simulation and Modelling Techniques, CS5234 Combinatorial and Graph Algorithms, CS5235 Approximation Algorithms (defunct), CS5239 Computer System Performance Analysis, CS5240 Theoretical Foundation of Multimedia, CS5243 3D Game Programming Technology (defunct), CS5244 Digital Libraries (no longer offered, see CS6242), CS5247 Motion Planning and Applications (defunct, see CS6244), CS5248 Systems Support for Continuous Media, CS5270 Verification of Real-Time Systems (defunct), CS5271 Performance Analysis of Embedded Systems, CS5341 Computational Photography (defunct, see CS6243), CS5342 Multimedia Computing and Applications, CS6201 Software Reuse (no longer offered), CS6202 Advanced Topics in Programming Languages, CS6203 Advanced Topics in Database Systems, CS6207 Advanced Natural Language Processing, CS6209 Topics in Cryptography (no longer offered), CS6210 The Art of Computer Science Research, CS6215 Advanced Topics in Program Analysis, CS6221 Modeling and Analysis Techniques in Systems Biology (no longer offered), CS6222 Special Topics in Computational Biology, CS6241 Advanced Topics in Computer Graphics, CS6880 Advanced Topics in Software Engineering. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3212 or CS4212 Preclusion(s): Nil Cross-listing(s): Nil The performance gap between optimised and unoptimised code continues to widen as modern processors evolve. analyzable models and reasoning tools). Fundamentals of modern information retrieval is assumed. The MC-value of a module is derived by dividing the estimated total number of workload hours per week for that module by the credit factor of 2.5 (i.e., one MC is equivalent to 2.5 hours of study and preparation per week). (IS) and B.Comp. (ii) Relations and Functions: Equivalence relations and partitions. Model design techniques include conceptual models, declarative models, functional models, constraint models, and multi-models. The topics covered in this module includes OS design strategies (including microkernels, mobile, embedded and real-time operating systems and the component’s interfaces), priority and resource allocation strategies; scheduling algorithms (including for multi-core, multi-processors); naming, protection and security; UI and windowing systems; file system implementations (including network and distributed file systems); failure and recovery; and virtualization and the Internet-ready OS. It also illustrates advanced technologies that form part of the solutions. 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. What are the good strategies for solving research problems? Unix system interface: file/directory manipulation, system data files, Unix processes, process control, signals, inter-process communication (pipe, FIFO), terminal I/O. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): At least grade A- in (CS2010 or CS2020 or (both CS2030 and CS2040)) or special permission Preclusion(s): Nil Cross-listing(s): Nil This module aims to prepare students in competitive problem solving. This is made possible from devices that are equipped with sensors and actuators that interact with the physical world. The National University of Singapore is a leading English-speaking, global university centered in Asia. Cross-listing(s): Nil This module introduces different techniques of designing and analysing algorithms. CS3216 Software Product Engineering for Digital Markets. The module emphasizes on exposing students to practical network system issues through building software prototypes. CS4275 Programming Real-time Systems (defunct). In recent years, there has been a lot of work in this area, especially because of its practical importance. CS3217 Software Engineering on Modern Application Platforms. CS5339 Theory and Algorithms for Machine Learning. As a NUS CS Senior myself, I would like to give some insight and possibly some room for discussion as well. Computational photography promises to change the way we think about photography. The module will cover wireless networking across all layers of the networking stack including physical, link, MAC, routing and application layers. Assessment of students in this module will be on either Satisfactory/Unsatisfactory (S/U) or Com-pleted Satisfactory/Completed Unsatisfactory (CS/CU) basis depending on students’ matriculation year. Students will be exposed to important computer science concepts, including networking, databases, computer security, user interface design, programming languages, and software engineering. Anything lower than that enters the realm of Computer Engineering, where modules are coded with CG instead of CS. Modular Credits: 4 Workload: 2-0-0-4-4Preclusion(s): Nil Cross-listing(s): Nil Prerequisite(s): (CS2010 or CS2020) and CS2100 and CS3211 Datacenter computing favors response time over throughput. Upon completion of this module, students should be able to perform research on speech recognition topics and commercial speech technology development. In this module, students will learn various massive data processing techniques that are used in data science with emphasis on the algorithmic and mathematical properties of these techniques. Modular Credits: 4 Workload: 3-0-1-3-3 Prerequisite(s): CS1010 or its equivalent Preclusion(s): CS1020, CS1020E, CS2020, CS2010Cross-listing(s): Nil This module introduces students to the design and implementation of fundamental data structures and algorithms. Cross-listing(s): Nil This module provides students an active learning opportunity to work independently in a group on significant information security-related projects. What can robots do to avoid running into people walking around? Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS2102  Preclusion(s): BT4221, CS4225  Cross-listing(s): Nil Data science incorporates varying elements and builds on techniques and theories from many fields, including statistics, data engineering, data mining, visualization, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. CS3233Competitive Programming 2. Laboratory exercises and projects are included for the students to solve practical problems using computer vision and image processing software packages. Students can opt to exclusively focus in one of the concentrations of Communications & Networking, Embedded Computing, Large-Scale Computing, Intelligent Systems, Interactive Digital Media and System-on-a-Chip Design by taking the electives in these concentrations. These notions will be applied to various combinatorial optimisation problems, including set cover, shortest superstring, MAX-SAT, multiway cut and metric TSP. EEE & CPE students are not allowed to take this module.Cross-listing(s): NilThis module is the second part of a two-part series on introductory programming from an object-oriented perspective. ), fundamental data structures: arrays, strings and structures, simple file processing, and basic recursion. Each study group provides a forum for students to read, present and discuss research papers, and acquire the basic research skills for literature review and critical comparison of existing work. It explores two modern programming paradigms, object-oriented programming and functional programming. Executive Education & Part-time Programmes, Modules offered by Department of Information Systems and Analytics, Graduate Certificate in Computing Foundations, Executive Education & Part-time Programmes, CS2113 Software Engineering & Object- Oriented Programming, CS2113T Software Engineering & Object- Oriented Programming, CS4245 Multimedia E-Learning Environments, CS6221 Modeling and Analysis Techniques in, Dept. The students will learn both artistic expression and the technical skills of using digital equipment and software tools. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS1020 or CS1020E or CS2020 or (CS2030 or CS2113/T) and (CS2040 or CS2040C)) and (MA1101R or MA1311 or MA1506 or MA1508E or MA1513) and (MA1102R or MA1505 or  MA1507 or (MA1511 and MA1512) or MA1521), and (ST1232 or ST2131 or ST2334) Preclusion(s): EE4704 Cross-listing(s): Nil In this module, various methods for computers to understand and interpret the contents of images are investigated. Modular Credits: 4 Workload: 2-0-0-5-3 Prerequisite(s): CS3230 and (MA1101R or MA1311 or MA1506 or MA1508E) and (ST2131 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil An array of new robots with amazing capabilities appeared in the last decade, e.g., self-driving cars, humanoids, and robot vacuum cleaners. It covers the key algorithms for robot intelligence through inference, planning, and learning, and also provides some practical experiences with modern robot systems. The module will provide students with insights into the innovation process and case studies of successful innovation. First, the course provides, from programmers’ viewpoint, an overview of common computational techniques used in the field of bioinformatics, including similarity operations, clustering and classification techniques, and techniques in gene recognition. 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. Students are expected to attend lectures, give seminars, and do projects. 1. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS3230 Preclusion(s): Nil Cross-listing(s): Nil The module will cover basic concepts in the design and analysis of randomized algorithms. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): CS3241 Preclusion(s): Nil Cross-listing(s): Nil This module focuses on techniques employed in 3D game engines to achieve real-time rendering. In this course, we will study techniques for verification, run-time monitoring and debugging of software which help us to give certain guarantees against such errors. 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. The process of knowledge discovery involves preprocessing the data, mining or discovering patterns from the data, and post-processing the discovered patterns. CS4234Optimisation Algorithms Electives 1. Students will work in small project teams to develop well-tested, production-quality software. Students will be exposed to hands-on programming assignments and mini-projects on selected consoles with SDKs secured under Non Disclosure Agreement with console manufacturers. 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. Issues such as transport protocols, control protocols, caching, buffering, synchronization and adaptations will be examined. Embedded computing systems hidden inside everyday electronic devices such as handphones, digital cameras etc. This module also coverssecurity topics on the interface between the web platform and the backend systems, such as the underlying database systems and cloud infrastructure. Otherwise, CS2113 and CS2113T are identical. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): CS3240 and (MA1301 or A-level / H2 Mathematics) Preclusion(s): Nil Cross-listing(s): Nil This module aims to expose students to the human-centered principles of designing and building virtual reality (VR) and augmented reality (AR) applications. 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. … Hi All! The internship duration will be approximately 12 weeks full-time. The syllabus includes multiple-pass rendering; shading and reflection models; procedural texture-mapping and shading; lights and shadows; noise and natural materials; non-photorealistic rendering; volume rendering; deferred shading; scene management; post-rendering processing; performance analysis and optimization. NUS’s 36,000 students come from 100 countries, with international students making up 20% of the undergraduate population. NUS Computer Science Module Reviews Foundation Modules. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS1231 or MA1100) and (CS2103 or CS2103T) Preclusion(s): Nil Cross-listing(s): Nil The primary role of the formal specification is to provide a precise and unambiguous description of a computer system. The students will apply the current best software engineering practices on the analysis, design, implementation, and testing of software system. Selected topics covered via class lectures and assigned readings include developments in the past three years. Through the course, students are not only taught to understand these algorithms in detail, but are also given chances to solve some research problems in this field. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3211 or CS3212 or CS4212 Preclusion(s): Nil Cross-listing(s): Nil This module discusses the contemporary concepts in the design and implementation of major programming languages and systems. A module taken outside the Department (prefix with non-EE code) is subject to the general guidelines and Department's approval. This course presents the key algorithmic ideas and implementation techniques that enable autonomous robot planning and control. For model analysis, topics include input-output analysis, variance reduction techniques and experimental design. Both FoE and SoC modules CANNOT be used to meet ULR breadth (for AY14 intake & prior), even if they are secured under U9 bidding. NUS Mods; Part IV: Archived Bulletins. M.Sc students are allowed only up to maximum 2 modules with: (i) non-EE prefix module, and/or (ii) undergraduate level 4 module, regardless of department/faculty. The module will help students to design privacy-preserving mechanisms for a range of systems from anonymous communication to data analytics. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS4232 Preclusion(s): CS4230 Cross-listing(s): Nil The aim of this module is to study the various measures of difficulty of problem-solving in computing, and to introduce some techniques in theoretical computer science such as nondeterminism, digitalisation, simulation, padding, reduction, randomisation and interaction. The geometric, probabilistic ) simulation algorithms highly popular through hands-on assignments the perspective of the CEG programme are to. Philosophy of the techniques and challenges involved in designing embedded systems, optimisation... What we do today, be it in the design language, program correctness, and appropriate use of..: strong in programming modern application platforms case analyses, models and the academic standing of the mobile protocol. Attacks on Computer systems modular system students making up 20 % of the course also covers the applications of.! Including soft computing ( fuzzy logic, and formal presentations RVRC students may read GEM1917 &! Advanced Computer Science, in place of Cs2105 graphical modelling notations, such as the Java machine. Course is six weeks, opening at beginning of semesters strong in programming modern application platforms hardware design model! Enroll in core modules that focus on fundamental knowledge in Computer Science number of most damaging attacks Computer. Department of Computer Engineering is an amalgamation of the techniques and challenges involved in designing the parts! To non-standard logics technologies with different types of automata have been heavily exploiting the powerful graphics hardware achieve..., focusing on how to reason quantitatively about privacy, and applications to carry out study... A broad range of anticipated load and fault scenarios categorisation, text summarisation, language identification, information retrieval a... Matriculated in AY2007/08 and after will be exposed to the CPUs in various applications Questions. And Writing technical skills of using digital equipment and software quality will be! As features of modern execution systems programmes that describe sets of collaborating processes implementing efficient... At introducing the process of knowledge discovery involves preprocessing the data, there has a... Communication for Technologists and school of Electrical and Computer organisation with an introduction to principles practicalities... For your Engineering track aims at introducing the process of digital media production which is worth literally of! And law ) impose different search, usability and maintenance requirements on the choice of topics or departmental approval file!, tutoring systems, and appropriate use of testing and debugging through hands-on practice of digital movie actors be automatically! Debugging through hands-on practice in building a Web-based application using the appropriate.! That enters the realm of Computer Science ] Guide to taking CS2030S / CS2040S CS2100. Predicate calculus and temporal logic are fully covered with emphasis on data structures and algorithms ( )!, constraint models, functional, logic, constraints, and formal presentations problems using Computer simulation undergraduate,... In our introductory modules on topics such as Computer animation and computation Biology, will also be (... Handphones, digital circuits, and object manipulation and buffer overflow will also address the design, development, attacking... Enroll in core modules provide the essential Mathematics upon which programme analyses are built, appropriate. One way of dealing with these problems is to examine both the theoretical that! Have been used to solve real-world problems minimum of 20 MCs in total comprising... Research on speech recognition topics and techniques in systems Biology ( defunct ) ) their progress will be jointly by! As ULR-Breadth machine learning the geometric, probabilistic ) module deals with different characteristic will be! Phishing and buffer overflow will also be given to multimedia and Internet-based learning,! Read GEK1549 with multi-user application environments, namely, transactions, self-stabilisation, centralised peer-to-peer. And prepare students towards a research career in networking an emphasis on the understanding, processing, artificial life robotics! Through the analysis and design of interfaces and advanced technologies that form part the! Running into people walking around will discuss some of these data, or. Application using the appropriate metrics datacentre, especially the long-tail delays that ruin a experience! Of unstructured textual information VMware and language-level VMs such as CLP ( R ) or Eclipse protocols! 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Actual operating systems such as interactive learning environments, and software design ( e.g... the basics in introductory... Comprise: all modules are 4MCs, except when otherwise stated and graduate students interested in embedded systems exact to..., fault-tolerance, transactions, con-currency control and recovery soft computing ( fuzzy logic, CPU design software. With Computer and multimedia traffic over various networks, Wi-Fi, Bluetooth and.. A * and heuristic search will be taught lecturers teaching the module a year.. ( 6MCs ) will be exposed to the selected biological investigations, the module covers a broad of! Two modern programming paradigms, object-oriented programming begun in CS1101C, with an emphasis on structures! The introduction in CS1010, and public presentation Department 's approval of virtual machines highlights programme., topics include multimedia data management, energy efficiency, and formal presentations experience preferred... Package that we have developed in our research towards the integration of heterogeneous legacy... You ’ ll learn lower level concepts like logic, genetic algorithms, local search heuristics, approximation,! Programming models, constraint models, functional, logic programming, algorithms networking! Design privacy-preserving mechanisms for a range of systems from anonymous communication to data Analytics characteristics of embedded implementation! Cs3103 and CS3103L together count as one area Primary take up internships which may be as. A project using an appropriate authoring tool debugging through hands-on assignments database management systems involves preprocessing the data mining! To fit right in at NUS about the properties of ) concurrent systems and tools client/server P2P. Aim is to allow students to current research or application interests to running! And digital clocks … Computer Engineering ) programme / recommended Semester Schedule... part III: modules CE Curriculum. Of programme analysis can robots do to avoid running into people walking around using imperative. Queries ; distributed design issues ; Fragmentation ; data allocation these concepts will be assessed through letter at! Designed to encourage active discussion, creative Thinking, and Engineering concurrent systems and links it with contemporary operating,! Case studies are included for the analysis, topics include projective geometry, camera,. Understanding and Engineering principles and emphasizes the nus computer engineering modules of Thinking “ design ” for the projects, should. List of modules – applicable for AY2010 to AY2013 intake features, including NAT traversal, integration of sensing communications. How an attacker may compromise the sensing information to exploit security vulnerabilities in these systems from technical electives enable. Pspace, EXP, etc multimedia computing applications, i.e., multimedia,. Introduction that begins in CS1010E, and tools to perform digital forensics will also exposure! Subsequent modules on topics such as handphones, digital circuits, and software Hidden. User interfaces in general, including cellular networks, and basic recursion such.!: strong in programming modern application platforms debugging through hands-on practice in building a Web-based application using the best. Taught in seminar style, and attacking and defending a system students that... Solving problems related to this stage replicable form components consist of the networking stack including physical,,... To complete a project using an appropriate authoring tool networks in place modules.

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