Computer Science

Database Modeling Concepts

Database Modeling Concepts
Database models: relational, deductive, object-oriented. Integrity constraints, query languages, database design.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesC S 240
 NoteStudents are allowed 1 repeat of each C S undergraduate course (all 100-, 200-, 300- or 400-level courses). This includes all students who received any grade including those who withdraw (receive a "W" grade) from a C S course. Students must wait 1 semester/term before being allowed to take a course they have failed twice. Petitions for exceptions to the policy can be completed at
 ProgramsContaining C S 452
Course Outcomes: 

Query Languages

Be able to use a variety of commercial query languages (SQL, XQuery, SPARQL), both stand-alone and embeded in high-level programming languages. Know how relational algebra and relational calculus provide a basis for commercial query languages.

Query Optimization

Understand performance issues and optimization strategies. This includes query rewriting, secondary storage characteristics, and access strategies.

Database Design

Be able to design and develop relational database applications. This includes conceptual modeling and normalization theory.

Current Challenges

Be familiar with some of the current challenges facing database professionals.