2003 Course - K. K. Wagh Education Society
2003 Course - K. K. Wagh Education Society 2003 Course - K. K. Wagh Education Society
Information retrieval – overview , Relevance ranking using terms and hyperlinks, synonyms, homonyms, ontologies, Indexing of documents, measuring retrieval effectiveness , web search engines, Information retrieval and structured data . List of assignments 1. ORDBMS – Implement system using composite, multivalued attributes, inheritance 2. Directory systems – address book using LDAP 3. Web based system using ASP / JSP 4. Building cubes and OLAP analysis 5. Data mining algorithms 6. Case Study a) any one from open source ( eg : Postgres SQL , MySQL ) b) Any one from Oracle, SQL Server, DB2 Text Books : 1. Abraham Silberschatz, Henry Korth, S. Sudarshan, “Database system concepts”, 5 th Edition , McGraw Hill International Edition 2. Jiawei han, Micheline Kamber, “Data Mining : Concepts and systems” , Morgan Kaufmann publishers Reference Books 1. Rob Coronel, Database systems : “Design implementation and management”, 4 th Edition, Thomson Learning Press 2. Raghu Ramkrishnan, Johannes Gehrke, “Database Management Systems”, Second Edition, McGraw Hill International Edition 410445 Multimedia Systems Teaching Scheme Examination Scheme Lectures : 4 Hrs/Week Theory :100 marks Practical. : 2 Hrs/Week Term Work : 25 Marks Oral Duration : 50 Marks : 3 Hrs. Learning Objectives:
• Learn key concepts of Multimedia Systems. • Learn to design multimedia projects independently. UNIT I : Introduction: What is multimedia, Goals and objectives, characteristics of multimedia presentation, multimedia applications, Multimedia building blocks, multimedia and internet, Multimedia architecture: User interfaces: GTK+, Qt, Windows multimedia support, hardware support, distributed multimedia applications, streaming technologies, multimedia database systems, Multimedia authoring tools, overview of multimedia software tools, multimedia Document Architecture (MHEG, SGML, ODA,OMF etc.) 06 hours UNIT II : Digital Image Processing: Basic Image fundamentals, Image data types, image file formats (GIF, BMP, TIFF, JPEG, PCX etc), Image acquisition, storage processing, Communication, and display, Image enhancement: Enhancement by point processing, Spatial filtering, Color image processing. Image compression : Types of compression: lossy & lossless, symmetrical & asymmetrical, intraframe & interframe Hybrid, Lossless: RLE, Shannon- Fano algorithm, Arithmetic coding. Lossy : Vector quantization, fractal compression technique, transform coding, psycho-analysis, interframe correlation. Hybrid: JPEG-DCT 10 Hours UNIT III : Multimedia Audio:
- Page 1 and 2: Structure of B.E (2003 Course):- De
- Page 3 and 4: UNIT II: Divide And Conquer And Gre
- Page 5 and 6: Background, Critical section proble
- Page 7 and 8: Teaching Scheme Lectures: 3 Hours /
- Page 9 and 10: • To learn issues in modeling lar
- Page 11 and 12: Error detection and recovery, Autom
- Page 13 and 14: • To Learn and Understand the kno
- Page 15 and 16: Utilization and functionality, arch
- Page 17 and 18: UNIT IV : Segmentation : Region Ext
- Page 19: Introduction, Parallel database arc
- Page 23 and 24: screening, color cycling, morphing
- Page 25 and 26: PART II: Assignments related to Ope
- Page 27 and 28: The project will be undertaken pref
- Page 29 and 30: Principles, RSA, ECC, DSA, key mana
- Page 31 and 32: UNIT III: Vector and Array Processo
- Page 33 and 34: . http://www.ibm.com/servers/eserve
- Page 35 and 36: Fix Distribution: Overview of Fix D
- Page 37 and 38: Text Books: 1. Andrew S. Tanenbaum
- Page 39 and 40: Text Books 1. Rajkamal, “Embedded
- Page 41 and 42: Conceptual view of ISDN and ISDN st
- Page 43 and 44: Understanding quality attributes, a
- Page 45 and 46: 2. Submit a IDL definition for a fe
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Information retrieval – overview , Relevance ranking using terms and hyperlinks,<br />
synonyms, homonyms, ontologies, Indexing of documents, measuring retrieval<br />
effectiveness , web search engines, Information retrieval and structured data .<br />
List of assignments<br />
1. ORDBMS – Implement system using composite, multivalued attributes,<br />
inheritance<br />
2. Directory systems – address book using LDAP<br />
3. Web based system using ASP / JSP<br />
4. Building cubes and OLAP analysis<br />
5. Data mining algorithms<br />
6. Case Study a) any one from open source ( eg : Postgres SQL , MySQL )<br />
b) Any one from Oracle, SQL Server, DB2<br />
Text Books :<br />
1. Abraham Silberschatz, Henry Korth, S. Sudarshan, “Database system concepts”,<br />
5 th Edition , McGraw Hill International Edition<br />
2. Jiawei han, Micheline Kamber, “Data Mining : Concepts and systems” , Morgan<br />
Kaufmann publishers<br />
Reference Books<br />
1. Rob Coronel, Database systems : “Design implementation and management”, 4 th<br />
Edition, Thomson Learning Press<br />
2. Raghu Ramkrishnan, Johannes Gehrke, “Database Management Systems”, Second<br />
Edition, McGraw Hill International Edition<br />
410445 Multimedia Systems<br />
Teaching Scheme<br />
Examination Scheme<br />
Lectures : 4 Hrs/Week Theory :100 marks<br />
Practical. : 2 Hrs/Week<br />
Term Work : 25 Marks<br />
Oral<br />
Duration<br />
: 50 Marks<br />
: 3 Hrs.<br />
Learning Objectives:
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