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OBJECTIVES

  • Building mobile applications.

  • Availing variety of mobile brands and models for testing objectives in same location.

  • Pushing the innovation in mobile applications.


Perform the experiments in J2ME / Android SDK framework

  1. Form design for mobile applications.

  2. Applications using controls.

  3. Graphical and Multimedia applications.

  4. Data retrieval applications.

  5. Networking applications.

  6. Gaming applications

  7. Micro browser based applications using WAP, WML and WML scripts

  8. Checking the phone number validation using Text box

  9. SlideShow example

  10. TextBox Capturing Program

  11. Ticket List Program

Program for question & answer with commands Program


Semester

Subject code

Title of the course

Hours of Teaching/Week

No. of Credits

II

14P2CSEL2A


Elective – II

SELECTED TOPICS IN COMPUTER SCIENCE

6

4


OBJECTIVES:

  • To understand the fundamentals of special topics in Computer science.

  • To understand the fundamentals of data warehousing, data mining, parallel computing, windows programming and data communication.

Unit I DATA WAREHOUSE Hrs 18

Data Warehousing-Operational Database Systems vs Data Warehouses- Multidimensional Data Model-Schemas for Multidimensional Databases–OLAP operations–Data Warehouse Architecture–Indexing–OLAP queries & Tools.


Unit II DATA MINING & DATA PREPROCESSING Hrs 18

Introduction to KDD process – Knowledge Discovery from Databases - Need for Data Preprocessing – Data Cleaning – Data Integration and Transformation – Data Reduction – Data Discretization and Concept Hierarchy Generation.


Unit III Parallel Computing Hrs 18

Flynn’s classification, SIMD and MIMD operations, Shared Memory vs. message passing multiprocessors, Distributed shared memory, Hybrid multiprocessors Message Passing Architectures: Message passing paradigms, Grid architecture, Workstation clusters, User level software


Unit IV Windows Programming Hrs 18

Windows Programming Fundamentals – MFC – Windows – Graphics – Menus – Mouse


and keyboard – Bitmaps – Palettes – Device-Independent Bitmaps - Controls – Modal and Modeless Dialog – Property – Data I/O – Sound – Timer - Memory management – SDI – MDI – MFC for Advanced windows user Interface – status
bar and Toolbars – Tree view – List view – Threads
Unit V Data Communication Hrs 18

Discrete messages and information content – Concept of amount of information – Average information – Entropy – Information rate – Source coding to increase average information per bit – Shannon-fano coding – Huffman coding – Lempel-Ziv (LZ) coding – Shannon’s theorem – Channel capacity – Bandwidth – S/N trade-off – Mutual information and channel capacity – Rate distortion theory – Lossy source coding.


Text Books:

  1. Jiawei Han and Micheline Kamber “Data Mining Concepts and Techniques” Second Edition, Elsevier, Reprinted 2011.

  2. John Hennessy and David Patterson, Computer Architecture: A Quantitative Approach, Morgan Kauffman Publisher.

  3. Richard C.Leinecker and Tom Archer, “Visual C++ 6 Programming Bible”, Wiley DreamTech Press, 2006.

  4. Herbert Taub and Donald L Schilling., “Principles of Communication Systems”,

3rd Edition, TMH, 2008.


Semester

Subject code

Title of the course

Hours of Teaching/ Week

No. of Credits


II

14P2CSEL2B



Elective – II

UBIQUITOUS COMPUTING


6

4



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