Microsoft Word remote sensing-booklet doc



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Remote Sensing 2005

 
2:    Database Systems 
Course Structure: Lectures: 2 / 
Labs: 1 
Credit Hours: 3 
Prerequisites: Data Structures 
Objectives:  The course aims to introduce basic database concepts, 
different data models, data storage and retrieval techniques and database 
design techniques. The course primarily focuses on relational data model 
and DBMS concepts. 
 
Course Outline: Basic database concepts; Entity Relationship modeling, 
Relational data model and algebra, Structured Query language; RDBMS; 
Database design, functional dependencies and normal forms; Transaction 
processing and optimization concepts; concurrency control and recovery 
techniques; Database recovery techniques; Database security and 
authorization.  Small Group Project implementing a database. 
Lab outline:  Structured Query language commands, PL/SQL Commands, 
Creating & populating tables, Design of simple database: Conceptual, 
logical and physical level, Database normalization process techniques, 
Query optimization (Relational Algebra), Indexing concepts, Performance 
of concurrency protocols, Partial & full recovery techniques, Concepts of 
database securities, Development of a GUI interface (optional). Design 
and implementation of a simple MIS system

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