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Department of Computer Science and Mathematics
include operating system components; process
scheduling; interprocess communication;
process synchronization (semaphores and
monitors); mutual exclusion problem; deadlock
handling mechanisms; concurrent execution;
multithreading; interrupt handling in a
concurrent environment; mutual exclusion;
virtual memory; page placement and
replacement policies; caching; fundamental
concepts of file systems.
Prerequisite: CSC 245: Objects and Data Abstraction
and CSC 320: Computer Organization.
CSC331 Business Data Communication
[3-0, 3 cr.]
This course presents the fundamental
concepts of data communications, networking,
distributed applications, and network
management and security, related specifically
to the business environment and business
management. The course provides an up-todate
coverage of key issues for the business
student such as the high-speed networks,
asynchronous transfer mode (ATM) and TCP/
IP, and the use of the Internet, intranets, and
extranets to support business objectives.
Prerequisite: CSC242 Introduction to Computer
Programming.
CSC332 Web Design and Development
[3-0, 3 cr.]
This course introduces students to the World
Wide Web. Topics include the Internet, an
overview of network standards and protocols,
circuit switching vs. packet switching, web
technologies and support tools for web-site
creation, multimedia data technologies,
scripting languages, simple Java applets, humancomputer
interaction aspects of web-page
design, graphical user interface design, security
issues and firewalls, and issues regarding
the use of intellectual property on the web.
Prerequisite: CSC242 Introduction to Computer
Programming.
CSC372 Database Analysis, Design, and
Management [3-0, 3 cr.]
This course covers the theory of a Database
Management System, within the context
of its utilization in an information system
application. The primary focus will be on
relational databases. Concepts will include
design, optimization, and implementation.
Security and data integrity in centralized and
distributed systems are issues that will be
addressed. SQL will be employed as a vehicle
during the development of applications.
Prerequisite: CSC242 Introduction to Computer
Programming.
CSC 375 Database Management Systems
[3-0, 3 cr.]
This course is an introduction to the
fundamental concepts and techniques of
database systems. Topics include database
architecture, data independence, data
modeling, physical and relational database
design, functional dependency, normal forms,
query languages, query optimization, database
security, and transactions at the SQL level.
Prerequisite: CSC 245: Objects and Data
Abstraction and MTH 201: Calculus III.
CSC392 Information Systems Analysis and
Design [3-0, 3 cr.]
This course discusses the System Development
Life Cycle (SDLC) from problem detection to a
post-implementation evaluation of the chosen
solution. Students analyze case studies, and
design an actual business system, in response
to a problem in the local business community.
A Computer Aided System Engineering (CASE)
toolkit is used in class, and for assignments,
giving students practical experience using a
structure design technology to solve business
data processing problems.
Prerequisite: CSC242 Introduction to Computer
Programming.
CSC398 Selected Topics in Computer Science
[3-0, 3 cr.]
This course may be repeated for credits.
CSC415 Introduction to Bioinformatics
[3-0, 3 cr.]
This course provides an introduction to modern
computational practices in bioinformatics.
Topics include computational methods for:
fragment assembly; sequence alignment;
modeling evolution; gene finding; gene
expression; protein structure and function.
Prerequisite: CSC310: Data Structures &
Algorithms.
CSC420 Computer Architecture [3-0, 3 cr.]
This course deals with the architecture
of computers, with an emphasis on the
architecture of the general purpose computers,
using modern concepts such as pipeline
design, memory hierarchies, IO systems,
and parallel processing. The course tackles
advanced computer architecture concepts
which include pipelining and pipelined
processors, instruction level parallelism,
VLSI architectures, superscalar architectures,
code scheduling for ILP processors, storage
systems and RAID, memory systems, and
multiprocessing and cache coherency problem,
as well, the course tackles parallel processing.
Prerequisite: CSC323 Digital Systems Design.
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