CS 5332 - Data Base Theory and Design

Course Description:

Computer system organization for the management of data; data models, data model theory, optimization and normalization; integrity constraints; query languages; intelligent database systems.

Prerequisite:

Course Objectives:

1.

History of data processing and motivations.

2.

Overview of database systems.

3.

Basic data models.

4.

Entity/relationship model.

5.

Relational model.

6.

Network model.

7.

Integrity constraints.

8.

Relational database design.

9.

File structures.

10.

Intelligent database systems.

Course Notes:

None.

Section Info:

Lecture/Lab Hours: 3 hours lecture, 0 hours lab
Offered: Very frequently (typically Fall or Spring, and occasionally a summer session).