Sunday, 28 April 2013

M.Tech VTU CS old syllabus 2010

01:12 - By rajshekar targar 0

Advances in Database Management Systems

 Subject Code : 10SCS13                                                                                                                    IA Marks : 50
 No of Lecture Hrs/Week : 4                                                                                                             Exam hours : 3
 Total No of Lecture Hours : 52                                                                                                      Exam Marks : 100

1. Review of Relational Data Model and Relational Database Constraints: Relational model concepts; Relational model constraints and relational database schemas; Update operations, transactions and dealing with constraint violations.
2. Object and Object-Relational Databases: Overview of Object-Oriented Concepts Objects, Encapsulation, Type and class hierarchies, complex objects; Object model of ODMG, Object definition Language ODL; Object Query Language OQL; Overview of C++ language binding; Conceptual design of Object database. Overview of object relational features of SQL; Object-relational features of Oracle; Implementation andrelated issues for extended type systems; The nested relational model.
3. Enhanced Data Modelsfor Some Advanced Applications: Active database concepts and triggers; Temporal, Spatial, and Deductive Databases Basic concepts.
4. Parallel and Distributed Databases: Architectures for parallel databases; Parallel query evaluation; Parallelizing 
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individual operations; Parallel query optimizations; Introduction to distributed databases; Distributed DBMS architectures; Storing data in a Distributed DBMS; Distributed catalog management; Distributed Query processing; Updating distributed data; Distributed transactions; Distributed Concurrency control and Recovery.
5.  Data  Warehousing,  Decision  Support  and  Data  Mining:  Introduction  to  decision  support;  OLAP,
multidimensional model; Window queries in SQL; Finding answers quickly; Implementation techniques for OLAP; Data Warehousing; Views and Decision support; View materialization; Maintaining materialized views. Introduction to Data Mining; Counting co-occurrences; Mining for rules; Tree-structured rules; Clustering; Similarity search over sequences; Incremental mining and data streams; Additional data mining tasks.
6. More Recent Applications: Mobile databases; Multimedia databases; Geographical Information Systems; Genome data management.

Laboratory Work:
(The following tasks can be implemented on Oracle or any other suitable RDBMS with support for Object
        1.    Develop a database application to demonstrate storing and retrieving of BLOB and CLOB objects.
2.     Develop a database application to demonstrate the representation of multivalued attributes, and the use ofnested tables to represent complex objects. Write suitable queries to demonstratetheir use.
3.     Design and develop a suitable Student Database application. One of the attributes to me maintained is theattendance of a student in each subject for which he/she has enrolled. Using TRIGGERS, write active rules to do the following:
a.    Whenever the attendance is updated, check if the attendance is less than 85%; if so, notify the
Head of the Department concerned.
b.     Whenever, the marks in an Internal Assessment Test are entered, check if the marks are less than 40%; if so, notify the Head of the Department concerned.

4.    Design, develop, and execute a program in a language of your choice to implement any one algorithm for mining association rules. Run the program against any large database available in the public domain and discuss the results.

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About the Author

Rajshekar Targar is a tech passionate guy who loves to code,blog,surf tech news, reading motivational articles, and tries out something new and interesting on technology every now and then. Follow me Rajshekar

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