cs.json

[{"name": "INTRODUCTION TO COMPUTATIONAL THINKING ", "preReq": " Nil \n", "AU": 3, "description": "\nComputing and Algorithms; Introduction to Python; Basic syntax and meaning; Variables, Data types, \nand Operators; More on numbers and built-in functions; Flow control; Program Development Issues \n(supplementary);  Strings  and  character  access;  Composite  types;  User  defined  functions  and \nmodules; File management; Exceptions \n\n", "code": "CZ1003"}, {"name": "INTRODUCTION TO COMPUTING SYSTEMS ", "preReq": " Nil \n", "AU": 2, "description": "\nIntroduction; Basic CPU operations; Integrated Circuits; CPU Performance Enhancement techniques; \nBasic Operating System (OS) Concepts; Programming Languages and Algorithms; Storage Devices \nand  Peripherals;  Databases;  Embedded  Systems;  Computer  Network  Basics;  Internet  Services  ; \nComputer Security; Computing Applications and Trends \n\n For 2016 Cohort, CZ1004 is named as Inventions and Innovations in Computing. \n\n", "code": "CZ1004"}, {"name": "DIGITAL LOGIC ", "preReq": " Nil \n", "AU": 3, "description": "\nBinary integers and arithmetic; Boolean Variables and Logic; Combinatorial circuits; Implementation \ntechnologies;  Digital  design  using  hardware  description  languages;  Sequential  circuits;  Sequential \ncircuits to building blocks; Finite state machines \n\n", "code": "CZ1005"}, {"name": "COMPUTER ORGANISATION AND ARCHITECTURE ", "preReq": " CZ1005 (can be taken concurrently) \n", "AU": 3, "description": "\nComputer  Hardware  Decomposition; Data  Representation, Memory Allocation  and  Access;  Central \nProcessing  Unit;  Assembly  Programming  and  Instruction  Set  Architecture;  High-level  Software  to \nLow-level  Instructions;  Computer  Memory;  Data  Transfer  and  Input/Output  (I/O)  Techniques; \nComputer Arithmetic; Measuring system performance; Towards higher speed \n\n", "code": "CZ1006"}, {"name": "DATA STRUCTURES ", "preReq": "CZ1003 \n", "AU": 3, "description": "\nBasic Constructs in CC program structure, Syntax and semantics; Built-in Data Structures; Recursion; \nMemory Management in C; Linked Lists;  Stacks and Queues;  Tree Structures; Implementing other \ndata abstractions \n\n1 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CZ1007"}, {"name": "ENGINEERING MATHEMATICS I ", "preReq": "Nil \n", "AU": 3, "description": "\nComplex Numbers; Vectors; Matrices; Systems of Linear Equations; Descriptive statistics; Probability \ntheory; Probability  and sampling  distributions;  Inferential  statistics;  Experimental  and Numerical \nMethods. \n\n", "code": "CZ1011"}, {"name": "ENGINEERING MATHEMATICS II ", "preReq": "CZ1011 (can be taken concurrently) \n", "AU": 3, "description": "\nPrecalculus; Limits and Continuity; Differentiation; Integration; Ordinary Differential Equations (ODE); \nSequences  and  Series;  Function  approximation;  Numerical  differentiation  and  integration;  Fourier \nSeries; Fourier Transform \n\n", "code": "CZ1012"}, {"name": "ENGINEERS AND SOCIETY ", "preReq": "Nil \n", "AU": 3, "description": "\nThis course raises issues pertinent to  engineers as professionals as  well as  members of society. It \ndiscusses the requirements and issues of the IT profession, examining the key role professionals play \nwith their contributions to society. Current concerns will be raised of interest to  any person living in \nSingapore. \n\n", "code": "CZ0001"}, {"name": "DISCRETE MATHEMATICS ", "preReq": "Nil \n", "AU": 3, "description": "\nElementary  number  theory;  Propositional  logic;  Predicate  logic;  Proof  techniques;  Sets;  Linear \nrecurrence relation; Relations; Functions; Graphs; Elementary Combinatorics \n\n2 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\nSECOND YEAR \n\n", "code": "MH1812"}, {"name": "ALGORITHMS ", "preReq": "CZ1007, CZ1012, MH1812 \n", "AU": 3, "description": "\nIntroduction  to  algorithms,  basics  for  analysis  of  algorithms,  sorting,  searching,  graphs,  basic \ncomputability and complexity theory \n\n", "code": "CZ2001"}, {"name": "OBJECT ORIENTED DESIGN AND PROGRAMMING ", "preReq": "CZ1007 \n", "AU": 3, "description": "\nIntroduction to Object Orientated Programming; Classes and Objects; C++ Programming Language; \nInheritance  and  polymorphism; \nimplementation;  Object  Relationships;  Object \nCollaboration; Designing for Reuse; Java Programming Language; Persistent Objects \n\nInterface  and \n\n", "code": "CZ2002"}, {"name": "COMPUTER GRAPHICS AND VISUALISATION ", "preReq": "CZ1011 \n", "AU": 3, "description": "\nIntroduction to  computer graphics and  foundation mathematics; Virtual Reality Modelling Language \n(VRML)  and Extensible  3D  (X3D);  Geometric  shapes;  Visual  appearance;  Transformations  and \nmotions; Efficient rendering; Putting it all together \n\n", "code": "CZ2003"}, {"name": "HUMAN COMPUTER INTERACTION ", "preReq": " Nil \n", "AU": 0, "description": "\nIntroduction; Usability and  application spaces; Guidelines for navigation, organization, attention and \ndata  entry;  Prototyping  and  evaluating  interface  designs;  Understanding  humans,  modelling  users; \nHuman-computer interfaces; Interaction and design analysis \n\n", "code": "CZ2004"}, {"name": "OPERATING SYSTEMS ", "preReq": "CZ1006, CZ1007 \n", "AU": 3, "description": "\nOverview  of  Operating  Systems  (OS);  Processes  and  Threads;  Process  Scheduling;  Process \nSynchronization; Deadlock and Starvation; Memory Organization; Virtual Memory Management; File \nSystem Organization and Implementation; Input/Output (I/O) Management and Disk Scheduling; Issues \nin Real-time Operating Systems; Protection and Security \n\n", "code": "CZ2005"}, {"name": "SOFTWARE ENGINEERING ", "preReq": " CZ2002 (can be taken concurrently) \n", "AU": 3, "description": "\nIntroduction  to  Software  Engineering;  Requirement  Specification;  Analysis;  Project  Management; \nDesign; Implementation and Testing; Maintenance \n\n3 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CZ2006"}, {"name": "INTRODUCTION TO DATABASES ", "preReq": " CZ2001 (can be taken concurrently) \n", "AU": 3, "description": "\nIntroduction  to  Databases;  Entity-Relationship  Data  Model;  Relational  Data  Model;  Functional \nDependencies  (FD)  and  Normalization;  Relational  Algebra;  Querying  Relational  Databases; \nIntroduction to Database Security; Semi structured Data and XML; Querying XML Data; Conclusion \n\n4 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\nTHIRD YEAR \n\n", "code": "CZ2007"}, {"name": "ADVANCED COMPUTER ARCHITECTURE ", "preReq": "CZ1006 \n", "AU": 3, "description": "\nIntroduction  and  Background:  Review  of  basic  computer  architecture;  Instruction  Set  Architecture \nDesign;  Micro-architecture  Design;  Memory  Systems  and  I/O  Design;  Instruction-Level  Parallelism; \nData-Level Parallelism; Thread-Level Parallelism; Emerging Computing Trends \n\n", "code": "CZ3001"}, {"name": "ADVANCED SOFTWARE ENGINEERING ", "preReq": "CZ2006 \n", "AU": 3, "description": "\nIntroduction;   Software   Quality  Management;   Project   Management;   Agile   Methods;   CMMI; \nMaintenance; Software Testing; Configuration Management \n\n", "code": "CZ3002"}, {"name": "SOFTWARE SYSTEM ANALYSIS AND DESIGN ", "preReq": "CZ2006 (can be taken concurrently) \n", "AU": 3, "description": "\nIntroduction;  Requirement  Engineering;  Software  Quality  and  Design  Principles;  Design  Issues; \nSoftware  Architecture  Design;  Design  Quality  Analysis  and  Evaluation;  Software  Construction; \nSystem Validation and Verification; System Deployment and Use \n\n", "code": "CZ3003"}, {"name": "MULTIDISCIPLINARY DESIGN PROJECT", "preReq": "At least Third Year Standing \n", "AU": 4, "description": "\nThe Multidisciplinary Design Project (MDP) is a group-based design project undertaken by a mixed \ngroup of students comprising of undergraduates from the CE, CS, BCG and BCE programmes. The \nproject is practical-oriented and multi-disciplinary in nature, requiring system level integration of sub- \nsystems developed by different team members. \n\nThe course project will be updated from year to year to remain interesting and relevant. Details of the \ncurrent year\u2019s project will be made known to students at initial MDP briefing. \nMicroprocessors, Signals and  Interfaces; Sensors  and Communication; Software  engineering; Data \nstructures and Algorithms; Open-source frameworks;  Human-computer interaction; System analysis \nand design \n\nNB: MDP is to be done over one semester by students who have reached at least a year 3 standing. \nEligible students will be automatically registered by the school and will be allocated to their respective \nproject group based on a composition of students from different programmes. Students cannot choose \nto defer the MDP. \nCourse Schedule: Twelve two-hour weekly slots and five full days during the entire recess week. \nThe group-based nature of MDP makes it important that the disruptive absence of members is strongly \ndiscouraged. Attendance for all scheduled MDP activities is thus compulsory. Students who do not \nsatisfy at least 80% of the overall attendance without valid reasons (e.g. MC) will be deemed to have \nfailed MDP. Students who miss more than 50% of the scheduled MDP sessions will not be deemed to \nhave  fulfilled  the  learning  outcomes  of  MDP  and  they  will  be  required  to  re-take  MDP  in  the  next \navailable offering. In other words, an \u201cI\u201d will be reflected in the result transcript for MDP. \n\n5 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CZ3004"}, {"name": "ARTIFICIAL INTELLIGENCE ", "preReq": "CZ1003, CZ2001 \n", "AU": 3, "description": "\nHuman brain and Cognitive structure; Foundations of AI; Agent paradigm; Procedural Representation \n(Algorithmic); Symbolic Representation (Knowledge Engineering); AI in the Real World, Case studies \nof intelligent systems \n\n", "code": "CZ3005"}, {"name": "NET CENTRIC COMPUTING ", "preReq": " CZ1006, CZ2002 \n", "AU": 3, "description": "\nIntroduction To Net-Centric Computing; The Physical Layer And Data Link Layer; The MAC Layer And \nLocal Area  Networks;  The  Network  Layer  And  Internet  IP  Protocols;  The  Transport  Layer  And \nInternet  TCP Protocols; Web Architecture And  Protocols; Web Documentation Technologies; Client \nApplication Programming Techniques; Server Application Programming Techniques \n\n", "code": "CZ3006"}, {"name": "COMPILER TECHNIQUES ", "preReq": "CZ2001, CZ2006 \n", "AU": 3, "description": "\nIntroduction   to   Compilers;   Lexical   Analysis;   Parsing;   Semantic   Analysis;   Code   Generation; \nOptimisation \n\n6 \n\nMay 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\nFOURTH  YEAR  \n\nTECHNICAL ELECTIVES \n\n", "code": "CZ3007"}, {"name": "Virtual and Augmented Reality ", "preReq": "CZ2003 \n", "AU": 3, "description": "\nIntroduction; Graphical  Scene;  Animation and  Sensing;  Light  and  Sound;  Controlling Environment; \nProgramming Scripts; Introduction to  Augmented Reality; Displays for  Augmented Reality; Tracking, \nRecognition and Registration; Rendering and Augmentation; Examples of Augmented Reality System \n\n", "code": "CE/CZ4001"}, {"name": "VISUAL MEDIA COMPRESSION AND PROCESSING ", "preReq": " Nil \n", "AU": 3, "description": "\nIntroduction to media management & processing; Entropy coding; Digital image coding techniques; \nMotion Estimation;  Digital  video coding  techniques; Advanced  topics for  visual signal compression; \nContent Base Image retrieval \n\n", "code": "CE/CZ4002"}, {"name": "COMPUTER VISION ", "preReq": " Nil \n", "AU": 3, "description": "\nIntroduction to  computer  vision;  Principles of  Camera Systems; Image Enhancement in  the  Spatial \ndomain;  Image  Enhancement  in  the  Frequency  domain;  Colour;  Image  Edge  Processing;  Image \nSegmentation; Imaging Geometry and 3D Stereo Vision; Object Recognition \n\n", "code": "CE/CZ4003"}, {"name": "3D MODELING AND ANIMATION ", "preReq": "CZ2003 \n", "AU": 3, "description": "\nIntroduction;  Computer  Graphics  Pipeline;  Graphics  Programming;  3D  Shape  Representation; \nGeometric Processing; Rendering; Basic Animation Techniques; Kinematic Animation; Physics Based \nSimulation; Motion Capture \n\n", "code": "CE/CZ4004"}, {"name": "AUDIO AND SPEECH PROCESSING ", "preReq": " Nil \n", "AU": 3, "description": "\nIntroduction; Speech Production and Transcription; Audio Signal Analysis; Audio and Speech Signal \nClassification; Text to Speech Synthesis; Speaker Recognition/Verification \n\n", "code": "CE/CZ4005"}, {"name": "PARALLEL COMPUTING ", "preReq": "CZ/CE2001 & CZ/CE3001 \n", "AU": 3, "description": "\nFoundations & Theory; Distributed Memory Programming; Shared Memory Programming; Special E- \nLearning Topic, Load Balancing;  Massively Parallel Programming; Cases Studies \n\n7 \n\nJuly 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CE/CZ4011"}, {"name": "DISTRIBUTED SYSTEMS ", "preReq": " CZ/CE2005 & CE3005 or CZ3006 \n", "AU": 3, "description": "\nCharacteristics of  distributed systems  and  system  models;  Interprocess communication; Distributed \nobjects and remote invocation; Distributed file systems; Peer-to-peer systems; Name services; Time \nand global states; Coordination and agreement; Replication and consistency \n\n", "code": "CE/CZ4013"}, {"name": "SIMULATION AND MODELLING ", "preReq": "CE/CZ1007 Data Structures, CE/CZ1011 Eng Maths \n", "AU": 3, "description": "\nIntroduction; Different  Types  of  Simulation; Simulation  World  View  and  Simulation Software;  Basic \nProbability and Statistical Models for Simulation; Random Numbers and Random Variate Generation; \nInput  Modelling;  Verification  and  Validation  of  Simulation  Models;  Output  Analysis;  Comparison  of \nAlternative Designs; Queueing Models \n\n", "code": "CE/CZ4015"}, {"name": "ADVANCED TOPICS IN ALGORITHMS ", "preReq": "CE/CZ2001 \n", "AU": 3, "description": "\nAnalysis Techniques; Dynamic Programming; Search Techniques; Computational Geometry; Min Cut \n/Max Flow;   Lower   Bounds   and   NP-completeness;   Approximation   Algorithms   and   Heuristics; \nRandomized Algorithms \n\n", "code": "CE/CZ4016"}, {"name": "PERVASIVE NETWORKS ", "preReq": " CE3005 or CZ3006 \n", "AU": 3, "description": "\nIntroduction of Pervasive Networks; Medium Access Control (MAC) for Wireless Networks; Routing in \nMobile  Ad  Hoc  Networks  (MANETs);  Mobility  Management  Services  in  Cellular  Networks;  Mobile \nInternet Protocol (IP) \n\n", "code": "CE/CZ4021"}, {"name": "PERSONAL MOBILE NETWORKS ", "preReq": " CE3005 or CZ3006 \n", "AU": 3, "description": "\nFundamentals of Wireless Mobile Communications; Overview of mobile networks, Wireless Personal \nArea  Networks  (WPAN);  Wireless  Local  Area  Networks  (WLAN);  Wireless  Wide  Area  Networks \n(WWAN): cellular communications networks, satellite communications. \n\n", "code": "CE/CZ4022"}, {"name": "ADVANCED COMPUTER NETWORKS ", "preReq": " CE3005 or CZ3006 \n", "AU": 3, "description": "\nTop-Down View of Computer Networks;   Application   Layer   Protocols;   Multimedia   Networking; \nAdvanced Network Protocols; QoS and Traffic Management; Network Deployment and Design \n\n8 \n\nJuly 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CE/CZ4023"}, {"name": "CRYPTOGRAPHY AND NETWORK SECURITY ", "preReq": " CE3005 or CZ3006 \n", "AU": 3, "description": "\nSecurity Threats and Security Goals; Mathematical Background; Secret-Key Cryptography; Public-Key \nCryptography;  Hash  Functions  and  MACs;  Key  Management;  Authentication  Protocols;  Key \nEstablishment Protocols \n\n", "code": "CE/CZ4024"}, {"name": "DATABASE SYSTEM PRINCIPLES ", "preReq": "CE/CZ2001, CZ2007 \n", "AU": 3, "description": "\nOverview  of  Database  Management  Systems  (DBMS);  Storage  of  Relational  Data;  Indexing \nTechniques;  Query  Processing;  Query  Optimization;  Failure  Recovery;  Transaction;  Management \nand Concurrency Control; Advanced topics \n\n", "code": "CE/CZ4031"}, {"name": "DATA ANALYTICS AND MINING ", "preReq": "CE/CZ2001 \n", "AU": 3, "description": "\nIntroduction of Data Analytics & Mining; Data Pre-processing; Data Analytics & Visualization; Cluster \nPattern Analysis; Predictive Pattern Mining; Association Rule Mining; Anomaly Detection \n\n", "code": "CE/CZ4032"}, {"name": "ADVANCED DATA MANAGEMENT ", "preReq": "CE/CZ4031 \n", "AU": 3, "description": "\nOverview Of  Data  Management In The 21st  Century;  Data Warehousing; Column-Oriented  DBMS; \nGraph Data Management; Spatial Data Management; In-Memory Data Management; Managing Time \nSeries Data \n\n", "code": "CE/CZ4033"}, {"name": "INFORMATION RETRIEVAL ", "preReq": "CE/CZ2001 \n", "AU": 3, "description": "\nIntroduction; Boolean  Retrieval;  Term  Vocabulary and  Posting;  Dictionaries  and  Tolerant  Retrieval; \nIndex  Construction  and  Compression;  Scoring,  Term  Weighting,  and  Vector  Space  Model;  IR \nEvaluation; Relevance Feedback and Query Expansion; Probabilistic IR and Language Model \nWeb Search; Link Analysis and Crawling \n\n", "code": "CE/CZ4034"}, {"name": "MACHINE LEARNING ", "preReq": "CE/CZ1007, CE/CZ1011 \n", "AU": 3, "description": "\nOverview  of  machine  learning  and  its  applications;  Decision  Theory  and  Bayes  Models;  Classifier \nEvaluation; Classification: Decision trees, artificial neural networks, linear and kernelized support vector \nmachines, K-nearest neighbour classifiers, linear regression and its kernelized extension; Ensemble \nLearning; Clustering;  Dimension Reduction; Density Estimation; Graphical Models; Applications \n\n9 \n\nJuly 2017 \n\n\f \n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CE/CZ4041"}, {"name": "NEURAL NETWORKS ", "preReq": "CE/CZ1007, CE/CZ1011 \n", "AU": 3, "description": "\nIntroduction  To  Neural  Network;  Basic  Perceptron;  Multi-Layer  Perceptron  Network;  Performance \nEstimation  And  Model  Selection;  Kernel-Based  Network;  Convolution  Neural  Networks  And  Deep \nLearning; Self-Organizing Neural Network; Component Neural Networks; Associative Learning \n\n", "code": "CE/CZ4042"}, {"name": "NATURAL LANGUAGE PROCESSING ", "preReq": "CE/CZ2001 \n", "AU": 3, "description": "\nIntroduction  To  Natural  Language  Processing;  Spelling  Checking; Word  Prediction; Word  Classes; \nIntroduction To Classification Methods; Information Extraction; Formal Grammars; Syntactic Parsing; \nComputational Semantics \n\n", "code": "CE/CZ4045"}, {"name": "INTELLIGENT AGENTS ", "preReq": "CE/CZ1007, CE/CZ1011 \n", "AU": 3, "description": "\nIntroduction to Intelligent Agents; Deductive Reasoning Agents; Practical Reasoning Agents; Reactive \nand Hybrid Architectures; Introduction  to  Multi-Agent  Systems and  Applications; Working  Together; \nMulti-Agent Interaction; Allocating Scarce Resources \u2013 Auctions; Making Group Decisions; Forming \nCoalitions \n\n", "code": "CE/CZ4046"}, {"name": "CYBER PHYSICAL SYSTEM SECURITY ", "preReq": "CE1006 or CZ1006 \n", "AU": 3, "description": "\nBasics  of  Cyber  Physical  System  (CPS);  Basics  of  Security:  Confidentiality,  Integrity,  Availability, \nAuthenticity;  Basics of Cryptography;  Attack  Surfaces of  Cyber  Physical  Systems;  Device-level \nSecurity;  Key  Management  in  Cyber  Physical  Systems;  Secure  Communication  in  Cyber  Physical \nSystems; Cyber Physical System Security: Smart Cards, Smart Grid; Smart Vehicle \n\n", "code": "CE/CZ4055"}, {"name": "COMPUTER SECURITY (SYSTEM SECURITY) ", "preReq": "CE/CZ2005 \n", "AU": 3, "description": "\nIntroduction,  Concepts,  and  Terminology;  Identification  and  Entity  Authentication;  Access-Control; \nSecurity Models; Reference Monitors; Operating System Security; Software Security; Case Studies \n\n", "code": "CE/CZ4062"}, {"name": "SECURITY MANAGEMENT ", "preReq": "CE/CZ2006 \n", "AU": 3, "description": "\nIntroduction;  Information  Security,  Governance,  and  the  Law;  Model,  Framework,  and  Approach; \nOrganization and People; Risk Analysis and Assessments; Security Operations; Internal Control, Audit, \nand Security; Contingency Planning and Management \n\n10 \n\nJuly 2017 \n\n\f \n \n \n\n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\n \n\nSchool of Computer Science and Engineering \n\n", "code": "CE/CZ4064"}, {"name": "DIGITAL FORENSICS ", "preReq": "CE/CZ1011 or MH1812 \n", "AU": 3, "description": "\nOverview  of  forensic  science;  Anti-Forensics;  Host  Forensics;  Information  Hiding;  Non-Standard \nStorage Mechanisms and Devices; Network Forensics \n \n \n", "code": "CE/CZ4065"}, {"name": "APPLICATION SECUIRTY  ", "preReq": "CE/CZ2005, CZ3006  \n", "AU": 3, "description": " \nApplication  Vulnerabilities,  Application  Security  Framework  and  Architecture,  Web  architecture  and  its  security \nchallenges, Roots of Trust, Security of mobile and cloud as application platforms, Security of payment card system \n\n \n\n \n\n", "code": "CE/CZ4068"}, {"name": "NETWORK SCIENCE ", "preReq": [], "AU": 3, "description": "", "code": "CE/CZ4071"}, {"name": "BIG DATA MANAGEMENT ", "preReq": [], "AU": 3, "description": "", "code": "CE/CZ4072"}, {"name": "SPECIAL TOPIC: DATA SCIENCE FOR BUSINESS  ", "preReq": [], "AU": 3, "description": "", "code": "CE/CZ4073"}, {"name": "INTRODUCTION TO DATA ANALYSIS ", "preReq": "CE/CZ1003 and CE/CZ1011 (or the equivalent is Basics in Statistics) \n", "AU": 3, "description": "NB: CE9010 is mutually exclusive with CE/CZ4032. SCSE students who take CE9010 as a UE cannot \ncount this towards the Elective Focus in Data Science. \n\nIntroduction:  Data  Science  and  Statistical  Inference;  Exploratory  Data  Analysis  (EDA)  and  Basic \nMachine Learning Algorithms; Predictive Modelling; Model Performance Analytics; Feature Generation \nand  Feature  Selection;  Recommendation  Systems;  Neural  Networks  and  Deep  Learning;  Data \nVisualization; Data Science and Ethical Issues; \n\n11 \n\nJuly 2017 \n\n\f", "code": "CE9010"}]