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. 2. (v) Semantics: word sense disambiguation. This is made possible from devices that are equipped with sensors and actuators that interact with the physical world. 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. Our focus will be on system-level design techniques, with the aim of critically accessing known models and methods in terms of their generality and ability at different stages of an embedded system design process. 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. Their progress will be monitored during the internship period, and their performance will be assessed through letter grades at the end of internship. CS3230Design and Analysis of Algorithms (CFM) 2. In addition, students are exposed to various algorithm design paradigms. Modular Credits: 4 Workload: 2-0-2-2-4 Prerequisite(s): (CS2040 or its equivalent) and CS2102 and CS3240 and (ST1232 or ST2132 or ST2334) Preclusion(s): Nil Cross-listing(s): Nil This module aims to bring together individual pedagogies of design, information, and computation, for teaching the analysis and representation of data for visualisation. Modular Credits: 4 Workload: 2-1.5-0.5-3-3 Prerequisite(s):(CS1020 or CS1020E or CS2020 or CS2030 or CS2040 or CS2040C) and (CS1231 or MA1100) Preclusion(s): CS2102S, IT2002 Cross-listing(s): Nil The aim of this module is to introduce the fundamental concepts and techniques necessary for the understanding and practice of design and implementation of database applications and of the management of data with relational database management systems. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS2220 or LSM2104 Preclusion(s): Nil Cross-listing(s): Nil The advent of high throughput technologies (e.g. Modular Credits: 6 Workload: 0-0-0-40-0Prerequisite(s): Completed at least 40 MCs. 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. Suitable for those who love hands-on work and keen to apply computing technologies to solve real-world problems, the programme will equip students with the critical knowledge and capacity to take on the world with confidence. Through the project, students will practise analysis of user’s needs, formulation of computing requirements to meet the user’s needs, modelling and design of the computer systems according to the requirements, evaluation of the design, efficient implementation of software components, system integration, software version control, and rigorous testing. For CEG AY2017/18 intake and after . Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Students must be in Master of Science in Business Analytics programme. Students matriculated in AY2007/08 and after will be assessed on CS/CU basis. Students who intend to take design-related modules must upload a letter from their home university stating the year of design modules applicants should be enrolled in during their exchange. However, the field of information retrieval includes almost any type of unstructured or semi-structured data, including newswire stories, transcribed speech, email, blogs, images, or video. With these modalities all packed into a single platform, it is important to empower application developers with basic knowledge and practical skills in dealing with these modalities. CS5341 Computational Photography (defunct). 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. Experience accrued will include adapting RTOS to specific embedded environments, and low level device programming. Upon completing the module, students will be able to design and build game engines from scratch, and to research and develop new game engine techniques. For AY2015/16 (Poly) intake & after, the 20 MCs of Level-1000 advanced placement credits from Unrestricted Elective Modules (awarded for work completed at the Polytechnic level) will not be counted against the 60-MCs limit on Level-1000 modules. 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. Modules offered by Department of Computer Science, CS5225 Parallel & Distributed Database Systems. Good-to-have background: CS4342, CS5240, Physics I, Multivariable Calculus, Machine Learning. 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. Modular Credits: 4 Workload: 2-0-0-2-6 Prerequisite(s): CS4226 or EE4210 Preclusion(s): Nil Cross-listing(s): Nil This course covers advanced fundamental principles of computer networks and techniques for networking. This course presents techniques that address these distinctive characteristics of embedded software implementation. 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. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): CS3230 and (MA1101R or MA1311 or MA1506 or MA1508E) Preclusion(s): Nil Cross-listing(s): Nil This module covers common algorithmic techniques for solving optimisation problems, and introduces students to approaches for finding good-enough solutions to NP-hard problems. Students with complementary technical expertise will form project teams to work on real-world projects under the supervision of CS professors and industrial partners. Cross-listing(s): Nil This module introduces the necessary conceptual and analytical tools for systematic and rigorous development of software systems. This module must be taken together with CS2101 Effective Communication for Technologists. Students will be jointly guided by supervisors from both the companies/organisations and the school. Students are encouraged to take at least one business module. This heterogeneity, coupled with the complexity of embedded software and the complex features of modern processors make performance analysis of such systems a difficult problem. The analytic approach pertains to analysis and understanding, whereas the synthetic approach pertains to generation and processing. Preclusion(s): Nil Cross-listing(s): Nil Topics will be of an advanced computer science nature and will be selected by the Department. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): CS2103 or CS2103T Preclusion(s): Nil Cross-listing(s): Nil This module aims at providing students with technical skills and hands-on experience of user interface development. To gain a more in-depth knowledge, beyond the technical core, of computer technology as an enabler in the solutions of problems in various industries.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: 2-0-0-6-2 Prerequisite(s): CS3235 Preclusion(s): Nil Cross-listing(s): Nil The objective of this module is to introduce students to the various issues that arise in securing and managing the networks, and study the state-of-the-art techniques for addressing these challenges. Topics include coordinate spaces, transforms, 3D model representations, hierarchical structures, deformation, procedural modelling, particle systems, character animation, shading networks, lighting, and scripting concepts. Briefly, the topics include advanced network architecture and design principles, protocol mechanisms, implementation principles and software engineering practices, network algorithmic, network simulation techniques and tools, performance analysis and measurement, and protocol specification/verification techniques. This course aims to familiarise graduate students with the ongoing research works in interactive 3D graphics. 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: 2-0-0-4-4 Prerequisite(s): CS2220 Preclusion(s): Nil Cross-listing(s): Nil This lecture/seminar-based module introduces some biological investigations enabled by the latest experimental technologies in biology. The module culminates in a short video project that demonstrates the students’ creativity and innovation in using various techniques to create a captivating and stunning digital special effects video. Students are encouraged Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): (CS3214 or CS3215) and CS4211 Preclusion(s): Nil Cross-listing(s): Nil This module is based around reading of papers on software re-engineering and reuse. Otherwise, CS2113 and CS2113T are identical. This allows students to understand the issues in computing devices, and how these issues affect the implementation of solutions. CS4278 Intelligent Robots: Algorithms and Systems. This course is introduced to provide students with knowledge of techniques that can be used to analyse biological data to enable them to discover new knowledge. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS3235 Preclusion(s): Nil Cross-listing(s): Nil This module introduces fundamental notions and requirements in computer security, such as the concepts of confidentiality, integrity and availability, and the mechanisms that provide security in various systems and applications. It is the first and foremost introductory course to computing and is equivalent to CS1010 and CS1010E Programming Methodology. The module covers a broad range of issues in the design and implementation of modern advanced operating systems. Partially ordered sets. ), fundamental data structures: arrays, strings and structures, simple file processing, and basic recursion. 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. It continues the introduction that begins in CS1010, and emphasises object-oriented programming with application to simple data structures. EE3408/C Integrated Analog Design: 5. A camera is an excellent choice as the main sensory device for robotic perception because it produces information-rich images, and is lightweight, low cost and requires little or no maintenance. EE3408/C Integrated Analog Design: 5. 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. (vii) Applications: text categorisation, text summarisation, language identification, information extraction, question answering, machine translation. Modular Credits: 8 Workload: 0-0-0-40-0 Prerequisite(s): CP3880 Preclusion(s): IFS4205 (InfoSec capstone project); CS3205 (old code) has been changed to IFS4205 Cross-listing(s): Nil This module aims to equip students with a final exposure to working in industry with theories, methods and applications of information security. This module is appropriate for FoS students. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3245 and CS3246 or their equivalent Preclusion(s): Nil Cross-listing(s): Nil This module is targeted to graduate students of computer science and information systems wishing to understand the issues in building, using and maintaining large volumes of knowledge in digital libraries. It covers  requirements, design, implementation, quality assurance, and project management aspects of small-to-medium size multi-person software projects. Topics include: C programming: Variables, types, operators, expressions, control flow, functions, function arguments, recursion, pointers, address arithmetic, arrays, structures, standard input/output. Students will learn the methodology of developing and evaluating an information visualisation solution, common information visualisation techniques (such as those for topical, spatial, hierarchical, temporal, and relational data), and methods for scaling up interactive visualisation with big data. Modular Credits: 4 Workload: 2-0-1-2-5 Prerequisite(s): CS3219 Preclusion(s): Nil Cross-listing(s) : Nil This module covers the concepts and practice of software testing including unit testing, integration testing, and regression testing. However, the heterogeneous nature of the underlying hardware as well as tight constraints on size, cost, power, and timing pose significant challenges to embedded software development. It also deals with transmission of multimedia traffic over various networks, related protocols, services, and applications. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisites: CS2103 or its equivalent Preclusion(s): CS3213 Cross-listing(s): Nil This module provides an in-depth, hands-on experience in key aspects of software engineering that accompany the development of software. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3223 Preclusion(s): Nil Cross-listing(s): Nil This module covers the topics in database management systems with current research and industrial interests and importance. Research-Based Programmes. Topics include sequence comparison, structure comparison and prediction, phylogenetic tree reconstruction and comparison, sequencing by hybridisation, Genome rearrangements, gene network, microarray. Modular Credits: 4 Workload: 2-2-0-4-2 Prerequisite(s): CS3283 Preclusion(s): CS4201,CS4202,CS4203,CS4204 Cross-listing(s): Nil This module is the second part of a two-part series on the development of media technology systems such as interactive systems, games, retrieval systems, multimedia computing applications, etc. 1 February 2019: - CG3002 (6MCs) will be last offered in sem 1, AY19/20. Modular Credits: 4 Workload: 2-1-0-3-4 Prerequisite(s): CS3223 Preclusion(s): CS4225 Cross-listing(s): Nil This module studies the management of data in a distributed environment. This list is subject to change without prior notice. Modular Credits: 4 Workload: 2-2-0-4-2 Prerequisite(s): CS3230 and (MA1101R or MA1506) Preclusion(s): Nil Cross-listing(s): Nil Computational geometry is the study of algorithms for solving geometric problems. 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). Your workload during SEP should follow that at NUS i.e. Modules PLEASE NOTE THAT THE DEPARTMENT RESERVES THE RIGHT TO CHANGE THE … Parallel Database: Parallel architectures; parallel query processing and optimisation; load balancing. Topics include objects and classes, composition, association, inheritance, interface, polymorphism, abstract classes, dynamic binding, lambda expression, effect-free programming, first class functions, closures, continuations, monad, etc. Inclusion-Exclusion Principle. Preclusion(s): CS2103, CS2113, CS2113T, IS2101 or its equivalent. EEE, CEG & CPE students are not allowed to take this module. CS2040S Data Structures and … Students will acquire crucial skills on testing and debugging through hands-on assignments. CS3219 Software Engineering Principles and Patterns. This course introduces the main topics and techniques in this field. They will gradually, but surely, transform our ways of life in the near future. 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. They extend and provide in-depth coverage of material in earlier prerequisite OS modules. (CS1020 or CS1020E or CS2020) or (CS2030 and (CS2040 or CS2040C)) Co-requisite(s): Students have to read CS2101 Effective Communication for Computing Professionals at the same time as this module. Modular Credits: 4 Workload: 2-1-0-3-3 Prerequisite(s): CS2010 or its equivalent Preclusion(s): Nil Cross-listing(s): Nil This module provides the students with theoretical knowledge and practical skill in design and implementation of programming languages. Modular Credits: 4 Workload: 2-0-0-6-2 Prerequisite(s): CS3246 or CS4341 Preclusion(s): Nil Cross-listing(s): Nil This course lays the foundation for graduate students to do research in multimedia systems comprising images, videos, speech, and audio. This course is divided into three parts and covers advanced techniques in simulation model design, model execution and model analysis. Typical outcomes are the software architecture and the interfaces between components, specified in a design document. 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: 2-1-0-3-4 Prerequisite(s): CS2040C or (CS2030 and CS2040) Co-requisite(s):  CS2101 is co-requisite for CS2113T. The module will focus on the design of core dynamic, game mechanics, strategy, progression, balancing, game levels, interface and technical features including 3D graphics, animation, AI, physics, and networking. 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). 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). Computer Engineering encompasses much of what we do today, be it in the industry or our private lives. You can choose from a diverse range of modules, spanning areas like computer systems, data management, programming language, software engineering, artificial intelligence (Al), human-computer interaction (HCI), and algorithms. It introduces the language processing techniques of interpretation and compilation and virtual machines. Students will learn through project assignments and defense competitions. Students will learn how to reason quantitatively about privacy, and evaluate it using the appropriate metrics. CS3205 Information Security Capstone Project. This first part focuses on applying best software engineering practices on the analysis and design of software system. 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. Modular Credits: 4 Workload: 2-1-0-5-2 Prerequisite(s): CS3243 and (MA1101R or MA1311 or MA1508E or MA1513) and (MA1102R or MA1505 or MA1507 or (MA1511 and MA1512) or MA1521) and (EE2012/A or ST2131 or ST2334) Preclusion(s): CS4278 Cross-listing(s): NilThis module introduces the core algorithms and system architectures of intelligent robots. Students will form project teams to work on media technology projects. 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. What are the good strategies for solving research problems? CS4261 Algorithmi… 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. EE3407 Analog Electronics: 4. This module provides an in-depth study of code optimisation techniques used in compilers for state-of-the-art processors. Modular Credits: 4 Workload: 2-0-2-3-3 Prerequisite(s): CS1010 or its equivalent Preclusion(s): CS1020 or its equivalentCross-listing(s): Nil This module is a follow up to CS1010. Students will learn problem modelling by means of constraints and the main techniques used to solve such systems of constraints. They extend and provide in-depth coverage of material in earlier prerequisite OS modules. This module also covers automatic memory management, dynamic linking and just-in-time compilation, as features of modern execution systems. Topics include cost benefit analysis of using automation tools, tool selection, implementation success criteria, tool evaluations, piloting tools and tool demos. The most hardware oriented module is CS2100, Computer Organisation. How does one discover great research problems? Case studies of existing systems, international standards such as IPSec, and well-known attacks like phishing and buffer overflow will also be covered. 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): CS2108 and CS3245 Preclusion(s): Nil Cross-listing(s): Nil The emergence of WWW, smart mobile devices and social networks has revolutionised the way we communicate, create, disseminate, and consume information. Modular Credits: 4 Workload: 3-0-0-3-4 Prerequisite(s): CS3230 or CS3210 Preclusion(s): Nil Cross-listing(s): Nil This course will examine some fundamental issues in parallel programming and distributed computing, and the relationships between the two. 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). It aims to provide students with advanced technical and managerial knowledge in evaluating, designing, and implementing big-scale software. EE3208 Embedded Computer Systems Design # 3. The syllabus focusses on relational database applications implemented with relational database management systems. Jothi Pillay, Computer Science ... the basics in our introductory modules on topics such as programming, algorithms, networking, operating systems, and computer organisation. Its core components consist of the analytic and synthetic approaches of sound and music. The ability to index, manage and retrieve media contents is of paramount importance. Students of this module will receive hands-on practice of tools commonly used in the industry, such as test automation tools, build automation tools, and code revisioning tools will be covered. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): SoC Students: CS3240; CNM students: NM2216 Preclusion(s): Nil Cross-listing(s): Nil This module teaches the underlying science of Human-Computer Interaction (HCI) and its application to user interface design. As a NUS CS Senior myself, I would like to give some insight and possibly some room for discussion as well. Thinking and Expression. At the end of this module, students will be able to design and analyse geometric algorithms and data structures, and to apply these techniques to solve problems arising in applications. Treatments of predicate calculus and temporal logic are fully covered with emphasis on their specification, verification, deductive and algorithmic aspects. Modular Credits: 4 Workload: 2-0-0-4-4 Prerequisite(s): CS2104 Preclusion(s): Nil Cross-listing(s): Nil Constraint programming is an alternative approach to computing in which the programming process is limited to a generation of requirements (constraints) and to solving of them by general methods and domain dependent methods. [NUS Computer Science] Guide to taking CS2030S / CS2040S / CS2100. Tools and techniques for software development, such as Unified Modelling Language (UML), program specification, and testing methods, will be taught. This module discusses the basic aspects of constraint programming, focusing on how to model and solve the constraints. state space reduction techniques to make model checking space/time efficient and iv. It focuses on the design and implementation of user interfaces in general, including graphical user interface. Modular Credits: 4 Workload: 2-1-1-3-3 Prerequisite(s): Nil Preclusion(s): CG1101, CS1010E, CS1010FC, CS1010J, CS1010S, CS1101, CS1101C, CS1101S, . Handling them using brute-force approaches becomes impossible and efficient algorithms are required. Modular Credits: 4 Workload: 2-1-2-3-2 Prerequisite(s): CG3204L or CS3103 Preclusion(s): Nil Cross-listing(s): Nil The first part of this module deals with mobility and wireless technology. 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 allows the students to explore their creativity while extending their skills in multimedia technologies. Modular Credits: 4 Workload: 2-0-2-4-2 Prerequisite(s): (CS2105 or EE3204/E or EE4204) and (ST2131 or ST2334) Preclusion(s): CS4222 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. A module taken outside the Department (prefix with non-EE code) is subject to the general guidelines and Department's approval. The different parts of the course will touch upon: i. formal modelling ii. Topics covered include: mathematical foundations; information theory; classical cryptographic systems: substitution cipher, shift cipher, affine cipher, hill ciphers, permutation cipher, etc. Topics include embedded software development for programmable processors and reconfigurable hardware, component-based design, optimasations for performance, power, code size, operating system issues, and case studies of available systems. Modular Credits: 4 Workload: 2-1-0-4-3 Prerequisite(s): (MA2216 or ST2131 or ST2334) and CS3243 Preclusion(s): CS5446 Cross-listing(s): Nil This module introduces the major concepts and paradigms in planning and decision making in complex environments. Footnote under Specialization in Computer Engineering programme is shown in the CEG programme are required to a... Cs3103 must be taken through the analysis, asynchronous and asynchronous parallel programming XML... Control algorithms ; Deadlock management Office of Admissions to attend lectures, analyses! That provide sound base for architectural design and technologies of media search positioning. And commercial speech technology development also engage in hands-on practice in building a Web-based nus computer engineering modules. 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