SCHOOL OF ENGINEERING & TECHNOLOGY

Size: px

Start display at page:

Download "SCHOOL OF ENGINEERING & TECHNOLOGY"

Albert Jacobs
5 years ago
Views:

1 CURRICULA / SYLLABUS FOR B.Tech (Computer Science & Engineering) SCHOOL OF ENGINEERING & TECHNOLOGY

2 First Semester 1. Mathematics-I 2. Engineering Graphics Computer Programming Electrical and Electronics Science Discrete Mathematical Structures 6. Communication Skills Total Second Semester 1 Mathematics-II 2 Manufacturing Process Chemistry Physics-I Semiconductor Devices Environmental Studies Total Third Semester 1. Measurement Science and Technique 2. Total Quality Management 3. Data Structures Object Oriented Programming Operating Systems Digital Electronic Circuits Human Values, Ethics and IPR Total

3 Fourth Semester 1. Optimization Techniques 2. Numerical and Statistical Methods Computer System Architecture 4. Computer Networks 5. Analysis and Design of Information Systems 6. Principles of Programming Languages Organizational Behavior Total Fifth Semester S. No Course No. Course Name L T P Cr 1. Microprocessors Algorithm Analysis & Design Data Base Management Systems Computer Graphics Web Technologies Elective-I Summer Training ( 6 weeks during summer vacations after 2 nd year) 4.0 Total Sixth Semester 1. Theory of Computation 2. Software Engineering Engineering Economics 4. Elective II Elective-III 3/2 1 0/ Elective-IV (To be offered by other departments) Total 18/17 4 4/6 22.0

4 Seventh Semester S. No. Course Course Name L T P Cr No. 1. Software Project Management 2. Compiler Construction Artificial Intelligence Elective-V 3/2 1 0/ Elective-VI 6. Elective-VII Total 18/17 3 6/ Eighth Semester S. No. Course Course Name L T P Cr No. 1. Project Semester* 16.0 Total 16.0 * to be carried out in Industry / Research Institutions OR S. No Course Course Name L T P Cr No. 1. Project Work Elective-I Ethical Hacking Business Intelligence Total

5 Elective- I 1. Advanced Java Net Technologies LAMP Technologies Embedded Systems Mobile Application Programming Elective- II 1. Database Administration with Oracle Database Administration with IBM DB Database Administration with MySQL Database Administration with SQL Server Data warehouse and Data Mining Elective- III 1. Network Programming Advanced Data Structures 3. Advanced Database Management System Linux Administration and Shell Programming Wireless Networks 6. Cloud Computing

6 Elective- V 1. Software Reuse 2. Software Verification and Validation 3. Software Design and Construction Software Quality Management 5. Aspect Oriented Programming Elective- VI 1. Soft Computing 2. Mobile Computing 3. Parallel and Distributed Computing 4. Grid Computing 5. Ubiquitous and Pervasive Computing Elective- VII 1. Natural Language Processing 2. Network Security and Cryptography 3. Image Processing 4. Multimedia Technologies 5. System Programming 6. Heterogeneous Computing with OpenCL Total Number of Credits: 187.5

7 DATA WAREHOUSING AND DATA MINING L T P Cr Data warehousing: introduction, operational data stores, ETL, Data warehouses design guideleines for data warehouse implementation,data warehouse metadata; OLAP introduction,characteristics, multidimensional view and data cube, data cube operations. Data mining, introduction, association rules mining, basics, naïve algorithm, apriori algorithm, direct hashing and pruning(dhp), Dynamic Itemset counting(dic), Mining frequent pattern without candidate generation(fp,growth), performance evaluation of algorithms, software for association rule mining; case study; Classification introduction, decision tree, tree induction algorithm split algorithm based on information theory, split algorithm based on Gini index; naïve bayes method; estimating predictive accuracy of classification method; classification software;case study; Cluster analysis, introduction, partitional methods, hierrarchical methods, density,based methods, dealing with large databases,cluster software; case study; Introduction to Web data mining and search engines. Laboratory work: Implementation of association rule mining algorithm naïve, apriori, direct hashing and pruning, dynamic itemset counting, mining without candidate generation(fp,growth), performance evaluation of algorithms ; classification algorithm tree induction algorithm based on information theory and Ginni index, bayesian method, estimating predictive accuracy of classification methods; cluster analysis method K,means method, hierarchical method; Usage of any data mining software; Text Books: 1. G.K.Gupta, Introduction to Data Mining with case studies, PHI publication. 2. Vikram Pudi, P.Radha krishana, Data Mining, Oxford University press Reference Books: 1. Pieter adriaans, dolf zantinge, Data mining, Pearson education press. 2. Paulraj pooniah, Data Warehousing Fundamentals, A,willey interscience Publication.

8 HETEROGENEOUS COMPUTING WITH OpenCL L T P Cr Fundamentals, Super Scalar Processor Design, Introduction to Multicore Architecture Chip Multiprocessing, homogeneous Vs heterogeneous design, SMP Multicore Vs Multithreading Shared memory architectures, Cache Memory Cache Coherency Protocols, Design of Levels of Caches Programming for Multilcore architecture, Multicore programming model message passing model OpenMP and MPI programming C Programming for Linux, Graphic Processing Units GPU Vs CPU Accelerated Processing Unit, opencl overview parallel programming code template interoperability parallel algorithms task and data decomposition CPU to GPU communication OpenCL architecture platform model execution model memory model programming model Dual core processors Fermi and Fusion broadband engine GPU Memory Coalescing, conflicts, Event timing and profiling, threading and scheduling, programming multi devices, applications Text Books: 1. Hennessey & Pateterson, Computer Architecture A Quantitative Approach, Harcourt Asia, Morgan Kaufmann, David B. Kirk, Wen,mei W. Hwu, Programming Massively Parallel Processors: A ands,on Approach, Morgan Kaufmann, Reference Books: 1. Kai Hwang, Advanced Computer Architecture: Parallelism, Scalability and Programmability, McGraw,Hill, Richard Y. Kain, Advanced Computer Architecture: A System Design Approach, PHI, Rohit Chandra, Ramesh Menon, Leo Dagum, and David Kohr, Parallel Programming in OpenMP,Morgan Kaufmann, 2000.

9 CLOUD COMPUTING L T P Cr Evolution of Computing Paradigms - Overview of Existing Hosting Platforms, Grid Computing, Utility Computing, Autonomic Computing, Dynamic Datacenter Alliance, Hosting / Outsourcing, Introduction to Cloud Computing, Workload Patterns for the Cloud, Big Data, IT as a Service, Technology Behind Cloud Computing, A Classification of Cloud Implementations- Amazon Web Services - IaaS, The Elastic Compute Cloud (EC2), The Simple Storage Service (S3), The Simple Queuing Services (SQS), VMware vcloud - IaaS, vcloud Express, Google AppEngine - PaaS, The Java Runtime Environment, The Python Runtime Environment- The Datastore, Development Workflow, Windows Azure Platform - PaaS, Windows Azure, SQL Azure, Windows Azure AppFabric, Salesforce.com - SaaS / PaaS, Force.com, Force Database - the persistency layer, Data Security, Microsoft Office Live - SaaS, LiveMesh.com, Google Apps - SaaS, A Comparison of Cloud Computing Platforms, Common Building Blocks. Case studies on latest paradigms Text Books: 1. Raj Kumar Buyya, James Broberg, Andrezei M.Goscinski, Cloud Computing: Principles and paradigms, Michael Miller, Cloud Computing, Reference Books: 1. Judith Hurwitz, Robin Bllor, Marcia Kaufman, Fern Halper, Cloud Computing for dummies, 2009.

10 MOBILE APPLICATION PROGRAMMING L T P Cr Android Development- Android Operation System, Important Android components, Security and permissions, Android SDK, Eclipse, Create an Android Emulator Device, Design, Develop and Deploy application on a real device. Introduction to Windows Phone 7- Type of applications that can be built- using Silverlight and XNA, Developer tools to be used for building apps, Introduction to AppMakr, Creating a Developer account on AppHub: using a DreamSpark account, App certification guidelines for the Windows Phone Marketplace ios overview- ios application life cycle, Design, Develop and Deploy Applications for iphone, ipad and ipod touch, Human interface and use of sensors for app development. Laboratory work: At least one major project (as a team) using Andriod development SDK or ios delevopment SDK or Windows Phone developmet SDK Resources: Andriod Development Text Books: 1. Wrox Pr Inc, Beginning Android Tablet Application Development, Barry Burd, Android Application Development All-in-one for Dummies, Reference Books: 1. Charles Petzold, Programming Windows Phone 7, 2010.

Master of Computer Applications

Master of Computer Applications FIRST SEMESTER EXAMINATION ID 044101 MCA 101 Fundamentals of IT 3 1 4 044103 MCA 103 Programming in C 3 1 4 044105 MCA 105 Discrete Mathematics 3 1 4 044107 MCA 107 Computer Organization 3 1 4 044109 MCA