This module introduces the concepts and techniques for the analysis, representation, retrieval, classification and summarisation of unstructured textual information. Topics covered include: space and time complexity - the classes P, NP, co-NP, PSPACE, EXP, etc. This module focuses on building core software engineering skills and competencies in programming modern application platforms. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3223 or an equivalent course on database system implementation Preclusion(s): Nil Cross-listing(s): Nil This course covers novel application of database concepts and techniques to the processing, dissemination, and integration of data on the Web. This module must be taken together with CS2101 Effective Communication for Technologists. CS4257 Algorithmic Foundations of Privacy 3. To complement their training, undergraduates are encouraged to take up internships which may be up to a year long. (iii) Mathematical formulation of data models (linear model, trees and graphs). 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. This course will cover some of the advanced and sound formal techniques of the three major phases of Software Engineering: Domain Engineering (e.g. Asking Questions 3 Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): (CS2105 or EE3204 or EE4204) and (CS2106 or CG2271) and CS2107 Preclusion(s): Nil Cross-listing(s): Nil The objective of this module is to provide a broad understanding of computer security with some in-depth discussions on selected topics in system and network security. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CS1010 and its equivalents Cross-listing(s): Nil This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. Selected applications in various domains such as speech, vision, natural language processing, medical informatics, bioinformatics, data mining and others will be discussed. This module is appropriate for B.Comp. This is a project-based course that aims to provide strong foundation on advanced computer animation methods and prepare students for research in animation. Preclusion(s): Nil Cross-listing(s): Nil This module provides students the opportunity to explore and conceptualise new digital products or services that will impact people and enterprises. Modular Credits: 4 Workload: 2-0-0-3-5 Prerequisite(s): (CS1020 or its equivalent) and CS1231 and (MA1102R or MA1505 or MA1521) and (MA1101R or MA1506) Preclusion(s): Nil Cross-listing(s): Nil This module exposes the graduate students to the fundamental theory of speech processing, focusing primarily on automatic speech recognition. 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. CS4340 Digital Special Effects  (defunct). Computer Engineering (jointly offered with NUS Faculty of Engineering) Singapore-Cambridge A-Levels: H2 pass in Mathematics and either Physics*, Computing or Chemistry *Students without H1 or H2 Physics need to have an O-Level pass in Physics or its equivalent and would be required to take Physics bridging module(s). EE4110 RFIC & MMIC Design # 6. The syllabus focusses on relational database applications implemented with relational database management systems. This module covers the mathematical concepts and algorithms that allow us to recover the 3D geometry of the camera motions and the structures in its environment. These are systems typically running embedded distributed applications that must meet their temporal constraints in a range of anticipated load and fault scenarios. Modular Credits: 4 Workload: 3-0-1-3-3Prerequisite(s): CS1010 or its equivalent Preclusion(s): CS1020, CS1020E, CS2020, CS2010, CS2040Cross-listing(s): Nil This module introduces students to the design and implementation of fundamental data structures and algorithms. CS3219 Software Engineering Principles and Patterns. Advanced AI search techniques like iterative deepening, A* and heuristic search will be included. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS1020 or its equivalent) or CS2020 or CS2040 or its equivalents) Preclusion(s): IT2001, EE3204/E, EE4210. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): CS2010 or CS2020 or ((CS2030 or CS2113/T) and (CS2040 or CS2040C)) 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. Unix/Linux and Windows). Topics include: FPGAs, high-level programming of FPGAs, DSP, and embedded microprocessor, embedded software development, real-time operating systems, and hardware/software codesign. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): (CS2105 or EE3204/E or EE4204) and (ST2131 or ST2334) Preclusion(s): CS5422 Cross-listing(s): Nil This module aims to provide solid foundation for students in the area of wireless networks and introduces students to the emerging area of cyber-physical-system/Internet-of-Things. It surveys a wide range of psychological theories beginning with organizational behaviour approaches, understanding of work and workflow within organizations, and moving on to understanding human psychological architecture and processing constraints. 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. Topics covered include object-oriented problem modeling with concepts of objects, classes and methods, object-oriented problem formulation and problem solving, data structure implementation strategies, abstraction and encapsulation of data structures, object-oriented programming constructs, use of APIs and class libraries, exception handling, lists, linked lists, stacks, queues, hash tables and their algorithmic design, various forms of sorting and searching methods, recursive algorithms, and Big-O notation.This module is appropriate for FoE students. 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. Selected topics may include classical issues such as provable security, design of symmetric key ciphers, and public key cryptography, as well as emerging topics, such as pairing-based cryptography, homomorphic encryption, privacy-preserving methods, information hiding, and data forensic. Preclusion(s): Nil Cross-listing(s): Nil This module is the first 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. Topics covered include network security, operating system security, and application security such as DNS attacks, memory-error exploits, and web application attacks. We pride ourselves on offering the strongest technical foundation in computing available at any school in the country. Take modules in Mathematics and Science to reinforce your knowledge in Computer Engineering. Preclusion(s): Nil Cross-listing(s): Nil This 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. Hi All! Topics include projective geometry, camera model, one-/two-/three-/N-View reconstructions and stereo, generalized cameras and nonrigid structure-from-motion. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): (ST1232 or ST2131 or ST2334) and (CS1020 or its equivalent). CS2040S Data Structures and … Topics includes: theory of parallelism and models; shared-memory architectures; distributed-memory architectures; data parallel rchitectures; interconnection networks, topologies and basic of communication operations; principles of parallel algorithm design; performance and scalability of parallel programs, overview of new parallel computing models such as grid, cloud, GPGPU. It also covers standards in digital multimedia data such as JPEG, MPEG & H261, etc. 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. The module illustrates where and when the theories are applicable, demonstrates the solutions using a combination of scientific theory understanding and engineering modelling. Some legal aspects of digital forensics will also be discussed. The focus will be on utilizing randomization to develop algorithms that are more efficient and/or simpler than their deterministic counterparts. We focus on the role of computing in helping biologists with these investigations. 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. In the second part, the module deals with computer and multimedia networks, and applications associated with multimedia networking. 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. This module will introduce the main techniques for designing such algorithms. This module will summarise the state-of-the-art in virtualisation technology and discuss techniques for designing and implementing modern VMs, hardware-level, operating system-level and language-level VMs, CPU virtualisation concepts, paravirtualisation and binary translation techniques, techniques for memory and input/output virtualisation, and applications of VMs in solving problems related to security and software distribution. 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. Cross-listing(s): Nil This module introduces the necessary skills for systematic and rigorous development of software systems. 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. Characteristics of real-time and multimedia traffic and concepts of QoS for multimedia data transmission are discussed. Students will be assessed based on their understanding and ability to apply and communicate what they have learned in CS2103 and CS3215 on a real-life application system. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): (CS1020 or its equivalent) and CS2106 Preclusion(s): Nil Cross-listing(s): Nil This module builds upon the conceptual foundation formed in CS2106 and extends it to the study of real-life operating systems. Different network technologies with different characteristic will also be covered, including cellular networks, Wi-Fi, Bluetooth and ZigBee. Modular Credits: 6 Workload: 4-2-2-4-3 Prerequisite(s): Obtain a grade of at least A− in either CS1010 or its equivalent Preclusion(s): CS1020, CS1020E, CS2010, CS2030, CS2040, CS2040C Cross-listing(s): Nil This module is an accelerated version that combines CS1020 and CS2010. The topics include: an overview of query optimisation techniques, physical data base design, system configuration, buffer management, performance analysis and tuning techniques. Computer Engineering (jointly offered with NUS Faculty of Engineering) Singapore-Cambridge A-Levels: H2 pass in Mathematics and either Physics*, Computing or Chemistry *Students without H1 or H2 Physics need to have an O-Level pass in Physics or its equivalent and would be required to take Physics bridging module(s). To support this goal, students work closely with users to understand their problems, gather their requirements, and obtain their feedback through a rapid, iterative, application design and development process. EE3407 Analog Electronics: 4. 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. 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 […] Data science seeks to use all available and relevant data to effectively tell a story that can be easily understood by non-practitioners. ), fundamental data structures: arrays, strings and structures, simple file processing, and basic recursion. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3223 Preclusion(s): Nil Cross-listing(s): Nil This module is concerned with the performance-related database administration issues. This second part focuses on applying best software engineering practices on the implementation and testing of the software system. Issues of implementing reuse in a company are discussed and relations between software re-engineering methods and software reuse are examined. This module familiarizes students to security issues in different stages of the software life-cycle. Student selection process will be enforced. The focus is to understand how actual operating systems work including the pragmatics, system architecture and design and implementation. A formal specification allows the system designer to verify important properties and detect design error before system development begins. We will also explore the state-of-the-art research in the areas of sensing systems and how they can provide benefits to the security of the Internet-of-Things. CS4220 Knowledge Discovery Methods in Bioinformatics. 2. 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. Students will learn through project assignments and defense competitions. Students will form project teams to work on media technology projects. In this module, we will investigate how such sensing systems affect the notion of computer security. Good-to-have background: CS4342, CS5240, Physics I, Multivariable Calculus, Machine Learning. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): Variable, depending on the choice of topics or departmental approval. CS2113 Software Engineering & Object-Oriented Programming. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): BT5110 Preclusion(s): Nil Cross-listing(s): Nil This module analysis of data which can not fit in main memory and application of such analysis to web applications. 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. 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