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
-
Form design for mobile applications.
-
Applications using controls.
-
Graphical and Multimedia applications.
-
Data retrieval applications.
-
Networking applications.
-
Gaming applications
-
Micro browser based applications using WAP, WML and WML scripts
-
Checking the phone number validation using Text box
-
SlideShow example
-
TextBox Capturing Program
-
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:
-
Jiawei Han and Micheline Kamber “Data Mining Concepts and Techniques” Second Edition, Elsevier, Reprinted 2011.
-
John Hennessy and David Patterson, Computer Architecture: A Quantitative Approach, Morgan Kauffman Publisher.
-
Richard C.Leinecker and Tom Archer, “Visual C++ 6 Programming Bible”, Wiley DreamTech Press, 2006.
-
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
|
Dostları ilə paylaş: |