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CS8092 Syllabus Computer Graphics and Multimedia

CS8092 Syllabus Computer Graphics and Multimedia Regulation 2017 Anna University free download. Computer Graphics and Multimedia Syllabus CS8092 pdf free download.

UNIT I ILLUMINATION AND COLOR MODELS CS8092 Syllabus Computer Graphics and Multimedia

Light sources – basic illumination models – halftone patterns and dithering techniques; Properties of light – Standard primaries and chromaticity diagram; Intuitive colour concepts – RGB colour model – YIQ colour model – CMY colour model – HSV colour model – HLS colour model; Colour selection. Output primitives – points and lines, line drawing algorithms, loading the frame buffer, line function; circle and ellipse generating algorithms; Pixel addressing and object geometry, filled area primitives.

UNIT II TWO-DIMENSIONAL GRAPHICS CS8092 Syllabus Computer Graphics and Multimedia

Two dimensional geometric transformations – Matrix representations and homogeneous coordinates, composite transformations; Two dimensional viewing – viewing pipeline, viewing coordinate reference frame; window-to-viewport coordinate transformation, Two dimensional viewing functions; clipping operations – point, line, and polygon clipping algorithms.

UNIT III THREE-DIMENSIONAL GRAPHICS CS8092 Syllabus Computer Graphics and Multimedia

Three dimensional concepts; Three dimensional object representations – Polygon surfaces- Polygon tables- Plane equations – Polygon meshes; Curved Lines and surfaces, Quadratic surfaces; Blobby objects; Spline representations – Bezier curves and surfaces -B-Spline curves and surfaces. TRANSFORMATION AND VIEWING: Three dimensional geometric and modeling transformations – Translation, Rotation, Scaling, composite transformations; Three dimensional viewing – viewing pipeline, viewing coordinates, Projections, Clipping; Visible surface detection methods.

UNIT IV MULTIMEDIA SYSTEM DESIGN & MULTIMEDIA FILE HANDLING CS8092 Syllabus Computer Graphics and Multimedia

Multimedia basics − Multimedia applications − Multimedia system architecture − Evolving technologies for multimedia − Defining objects for multimedia systems − Multimedia data interface standards − Multimedia databases. Compression and decompression − Data and file format standards − Multimedia I/O technologies − Digital voice and audio − Video image and animation − Full motion video − Storage and retrieval technologies.

UNIT V HYPERMEDIA CS8092 Syllabus Computer Graphics and Multimedia

Multimedia authoring and user interface – Hypermedia messaging -Mobile messaging − Hypermedia message component − Creating hypermedia message − Integrated multimedia message standards − Integrated document management − Distributed multimedia systems. CASE STUDY: BLENDER GRAPHICS Blender Fundamentals – Drawing Basic Shapes – Modelling – Shading & Textures

Subject name	Computer Graphics and Multimedia
Short Name	CGM
Semester	6
Subject Code	CS8692
Regulation	2017 regulation

CS8092 Syllabus Computer Graphics and Multimedia Click Here To Download

CS8092 Computer Graphics and Multimedia Notes

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CS8092 Computer Graphics and Multimedia Question Bank

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CS8091 Syllabus Big Data Analytics

CS8091 Syllabus Big Data Analytics Regulation 2017 Anna University free download. Big Data Analytics Syllabus CS8091 pdf free download.

UNIT I INTRODUCTION TO BIG DATA CS8091 Syllabus Big Data Analytics

Evolution of Big data – Best Practices for Big data Analytics – Big data characteristics – Validating – The Promotion of the Value of Big Data – Big Data Use Cases- Characteristics of Big Data Applications – Perception and Quantification of Value -Understanding Big Data Storage – A General Overview of High-Performance Architecture – HDFS – MapReduce and YARN – Map Reduce Programming Model

UNIT II CLUSTERING AND CLASSIFICATION CS8091 Syllabus Big Data Analytics

Advanced Analytical Theory and Methods: Overview of Clustering – K-means – Use Cases – Overview of the Method – Determining the Number of Clusters – Diagnostics – Reasons to Choose and Cautions .- Classification: Decision Trees – Overview of a Decision Tree – The General Algorithm – Decision Tree Algorithms – Evaluating a Decision Tree – Decision Trees in R – Naïve Bayes – Bayes‘ Theorem – Naïve Bayes Classifier.

UNIT III ASSOCIATION AND RECOMMENDATION SYSTEM CS8091 Syllabus Big Data Analytics

Advanced Analytical Theory and Methods: Association Rules – Overview – Apriori Algorithm – Evaluation of Candidate Rules – Applications of Association Rules – Finding Association& finding similarity – Recommendation System: Collaborative Recommendation- Content Based Recommendation – Knowledge Based Recommendation- Hybrid Recommendation Approaches.

UNIT IV STREAM MEMORY 9 CS8091 Syllabus Big Data Analytics

Introduction to Streams Concepts – Stream Data Model and Architecture – Stream Computing,
Sampling Data in a Stream – Filtering Streams – Counting Distinct Elements in a Stream – Estimating
moments – Counting oneness in a Window – Decaying Window – Real time Analytics Platform(RTAP) applications – Case Studies – Real Time Sentiment Analysis, Stock Market Predictions. Using Graph Analytics for Big Data: Graph Analytics

UNIT V NOSQL DATA MANAGEMENT FOR BIG DATA AND VISUALIZATION CS8091 Syllabus Big Data Analytics

NoSQL Databases : Schema-less Models‖: Increasing Flexibility for Data Manipulation-Key Value Stores- Document Stores – Tabular Stores – Object Data Stores – Graph Databases Hive – Sharding –-
Hbase – Analyzing big data with twitter – Big data for E-Commerce Big data for blogs – Review of Basic Data Analytic Methods using R.

Subject name	Big Data Analytics
Short Name	BDS
Semester	6
Subject Code	CS8091
Regulation	2017 regulation

CS8091 Syllabus Big Data Analytics Click Here To Download

CS8091 Big Data Analytics Notes

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CS8691 Syllabus Artificial Intelligence

CS8691 Syllabus Artificial Intelligence Regulation 2017 Anna University free download. Artificial Intelligence Syllabus CS8691 pdf free download.

UNIT I INTRODUCTION CS8691 Syllabus Artificial Intelligence Regulation

Introduction–Definition – Future of Artificial Intelligence – Characteristics of Intelligent Agents–Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.

UNIT II PROBLEM SOLVING METHODS CS8691 Syllabus Artificial Intelligence Regulation

Problem solving Methods – Search Strategies- Uninformed – Informed – Heuristics – Local Search Algorithms and Optimization Problems – Searching with Partial Observations – Constraint Satisfaction Problems – Constraint Propagation – Backtracking Search – Game Playing – Optimal Decisions in Games – Alpha – Beta Pruning – Stochastic Games

UNIT III KNOWLEDGE REPRESENTATION CS8691 Syllabus Artificial Intelligence Regulation

First Order Predicate Logic – Prolog Programming – Unification – Forward Chaining-Backward Chaining – Resolution – Knowledge Representation – Ontological Engineering-Categories and Objects – Events – Mental Events and Mental Objects – Reasoning Systems for Categories –
Reasoning with Default Information

UNIT IV SOFTWARE AGENTS CS8691 Artificial Intelligence

Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining –
Argumentation among Agents – Trust and Reputation in Multi-agent systems.

UNIT V APPLICATIONS CS8691 Artificial Intelligence

AI applications – Language Models – Information Retrieval- Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot – Hardware –
Perception – Planning – Moving

OBJECTIVES:

 To understand the various characteristics of Intelligent agents
 To learn the different search strategies in AI
 To learn to represent knowledge in solving AI problems
 To understand the different ways of designing software agents
 To know about the various applications of AI.

Subject name	Artificial Intelligence
Short Name	AI
Semester	6
Subject Code	CS8691
Regulation	2017 regulation

CS8691 Syllabus Artificial Intelligence Click Here To Download

CS8691 Artificial Intelligence Notes

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CS8651 Syllabus Internet Programming

CS8651 Syllabus Internet Programming Regulation 2017 Anna University free download. Internet Programming Syllabus CS8651 pdf free download.

UNIT I WEBSITE BASICS, HTML 5, CSS 3, WEB 2.0 CS8651 Syllabus Internet Programming

Web Essentials: Clients, Servers and Communication – The Internet – Basic Internet protocols – World wide web – HTTP Request Message – HTTP Response Message – Web Clients – Web Servers – HTML5 – Tables – Lists – Image – HTML5 control elements – Semantic elements – Drag and Drop – Audio – Video controls – CSS3 – Inline, embedded and external style sheets – Rule cascading – Inheritance – Backgrounds – Border Images – Colors – Shadows – Text – Transformations – Transitions – Animations.

UNIT II CLIENT SIDE PROGRAMMING CS8651 Syllabus Internet Programming

Java Script: An introduction to JavaScript–JavaScript DOM Model-Date and Objects,-Regular Expressions- Exception Handling-Validation-Built-in objects-Event Handling- DHTML with JavaScript- JSON introduction – Syntax – Function Files – Http Request – SQL.

UNIT III SERVER SIDE PROGRAMMING CS8651 Syllabus Internet Programming

Servlets: Java Servlet Architecture- Servlet Life Cycle- Form GET and POST actions- Session Handling- Understanding Cookies- Installing and Configuring Apache Tomcat Web Server- DATABASE CONNECTIVITY: JDBC perspectives, JDBC program example – JSP: Understanding Java Server Pages-JSP Standard Tag Library (JSTL)-Creating HTML forms by embedding JSP code.

UNIT IV PHP and XML CS8651 Syllabus Internet Programming

An introduction to PHP: PHP- Using PHP- Variables- Program control- Built-in functions- Form Validation- Regular Expressions – File handling – Cookies – Connecting to Database. XML: Basic XML- Document Type Definition- XML Schema DOM and Presenting XML, XML Parsers and Validation, XSL and XSLT Transformation, News Feed (RSS and ATOM).

UNIT V INTRODUCTION TO AJAX and WEB SERVICES CS8651 Syllabus Internet Programming

AJAX: Ajax Client Server Architecture-XML Http Request Object-Call Back Methods; Web Services: Introduction- Java web services Basics – Creating, Publishing, Testing and Describing a Web services (WSDL)-Consuming a web service, Database Driven web service from an application –SOAP.

Subject name	Internet Programming
Short Name	IP
Semester	6
Subject Code	CS8651
Regulation	2017 regulation

CS8651 Syllabus Internet Programming Click Here To Download

CS8651 Internet Programming Notes

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CS8603 Syllabus Distributed Systems

CS8603 Syllabus Distributed Systems Regulation 2017 Anna University free download. Distributed Systems Syllabus CS8603 pdf free download.

UNIT I INTRODUCTION 9 CS8603 Syllabus Distributed Systems

Introduction: Definition –Relation to computer system components –Motivation –Relation to parallel systems – Message-passing systems versus shared memory systems –Primitives for distributed communication –Synchronous versus asynchronous executions –Design issues and challenges. A model of distributed computations: A distributed program –A model of distributed executions –Models of communication networks –Global state – Cuts –Past and future cones of an event –Models of process communications. Logical Time: A framework for a system of logical clocks –Scalar time –Vector time – Physical clock synchronization: NTP.

UNIT II MESSAGE ORDERING & SNAPSHOTS CS8603 Syllabus Distributed Systems

Message ordering and group communication: Message ordering paradigms –Asynchronous execution with synchronous communication –Synchronous program order on an asynchronous system –Group communication – Causal order (CO) – Total order. Global state and snapshot recording algorithms: Introduction –System model and definitions –Snapshot algorithms for FIFO channels

UNIT III DISTRIBUTED MUTEX & DEADLOCK CS8603 Syllabus Distributed Systems

Distributed mutual exclusion algorithms: Introduction – Preliminaries – Lamport‘s algorithm – Ricart-Agrawala algorithm – Maekawa‘s algorithm – Suzuki–Kasami‘s broadcast algorithm. Deadlock detection in distributed systems: Introduction – System model – Preliminaries – Models of deadlocks – Knapp‘s classification – Algorithms for the single resource model, the AND model and the OR model.

UNIT IV RECOVERY & CONSENSUS CS8603 Syllabus Distributed Systems

Checkpointing and rollback recovery: Introduction – Background and definitions – Issues in failure recovery – Checkpoint-based recovery – Log-based rollback recovery – Coordinated checkpointing algorithm – Algorithm for asynchronous checkpointing and recovery. Consensus and agreement algorithms: Problem definition – Overview of results – Agreement in a failure –
free system – Agreement in synchronous systems with failures.

UNIT V P2P & DISTRIBUTED SHARED MEMORY 9 CS8603 Syllabus Distributed Systems

Peer-to-peer computing and overlay graphs: Introduction – Data indexing and overlays – Chord – Content addressable networks – Tapestry. Distributed shared memory: Abstraction and advantages – Memory consistency models –Shared memory Mutual Exclusion.

Subject name	Distributed Systems
Short Name	DS
Semester	6
Subject Code	CS8603
Regulation	2017 regulation

CS8603 Syllabus Distributed Systems Click Here To Download

CS8603 Distributed Systems Notes

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CS8603 Distributed Systems Important Questions

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