Page 209 - Bowie State University Graduate Catalog 2018-2020.

algebra, spatial filters, image enhancement, edge detection, segmentation,
feature extraction etc. Additional topics include discrete transforms and image
compression techniques.

COSC 623 LOGIC, COMPUTABILITY AND AUTOMA II
Prerequisites: COSC 523
Credits: 3
Continuation of COSC 523. The theory of abstract mathematical machines.
Structural and behavioral classification of automata; finite state automata;
theory of regular sets. Pushdown automata, linear bounded automata. Finite
transducers. Universal Turing machines.

COSC 629 VIRTUAL REALITY AND ITS APPLICATIONS
Prerequisites: COSC 504 or permission of
instructor
Credits: 3
The goal of this course is to introduce students to Virtual Reality (VR) hardware,
software, and provide an opportunity for them to apply this knowledge to
applications for education and games. This course applies cutting-edge virtual
reality technology currently available in academia and industry. Students will
design, model, and script the VR environment by developing a complete VR
application as a group project.

COSC 631 DATABASE AND INFORMATION SYSTEMS II
Prerequisites: COSC 531
Credits: 3
Continuation of COSC 531. Advanced topics in data base design and
information management systems. Topics include normalization and semantic
modeling, view integration, recovery and concurrency, security and integrity,
data base machines, distributed and heterogeneous data base management,
intelligent data bases, and object-oriented systems.

COSC 632 PRINCIPLES OF DATA MINING
Prerequisites: COSC 528
Credits: 3
The goal of this course is to present fundamental concepts and algorithms for
those learning data mining for the first time. The course introduces and studies
the concepts, issues, tasks and techniques of data mining. We will review and
examine the present techniques and the theories behind them and explore
new and improved techniques for real world data mining applications. Topics

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