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DEPARTMENT OF COMPUTER SCIENCE
Courses in Computer Science
Computer Science Courses Catalog Descriptions
Undergraduate Courses

CSC 114 Introduction to Computer Science Credit, 3 sem. hrs.
An introduction to information processing. Topics to be covered include
computer history, input/output, processing, data storage, application and
system software, and the impact of computers on society. Hands-on
experience with DOS, wordprocessing, spreadsheet and database software, the
Internet and a graphical user environment.
Course Website

CSC 115 Foundations of Computer Science Credit, 3 sem. hr.                                                                                Three hours of  lecture per week. The class will meet some of these times in the computer laboratory. This
course is designed to introduce the student with no prior programming experience to the fundamentals necessary to study the science ot computing. Topics include history of computing, computing as a tool and discipline, machine level data representation, algorithms and problem solving, fundamental programming constructs and software design  methodology, fundamental  data structures, operating systems, net-centric computing, human-computer interaction, artificial intelligence, simulation, and social issues in computing.

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CSC 116 Intro. to Programming and Problem Solving Credit, 4 sem. hrs.
Three hours of lecture and three hours of laboratory per week. This course is
designed as an introduction to programming and problem solving. Topics to
be included are the abstractions necessary for the program development
process, design methodology, control structures, looping, procedures, interface
design, functions, simple data types, aggregate data structures and objects.
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CSC 216 Data Structures Credit, 4 sem. hrs.
Prerequisite: CSC 116
Three hours of lecture and three hours of laboratory per week. An
introduction to the basic concepts of data structures from a practical
standpoint with an emphasis on the use of some of the abstractions necessary
for structured program development. Topics include software development
tools, top-down design, algorithm analysis, encapsulation, and methods of
implementation as well as the common data structures stacks, queues, lists,
and trees. Sorting and searching techniques employing these data structures
will also be examined.
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CSC 220 C/C++ Language Programming Credit, 3 sem. hrs.
Prerequisites: CSC 116, or instructor's consent
      Astudy of the syntax and features of the C and C++ programming languages.
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CSC 231, 232, 233 Selected Language Programming Credit, 1, 2, or 3 sem. hrs.
Respectively
Prerequisites: CSC 220 or instructor's consent
Astudy of the syntax and features of a selected special purpose language such
as LISP, Prolog, Ada, Pascal, Fortran, Assembly, BASIC or COBOL. Other
languages may be included as needed. May be repeated for credit if a
different language is offered.
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CSC 300 Fundamentals of Computer Science for Educators Credit, 3 sem. hrs.
Prerequisite: CSC 216
Astudy of the methodology and concepts involved in computer education in
the secondary schools. Topics included will be computer curriculum and
computer laboratory techniques, course authoring, language survey,
multimedia, and classroom networking.
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CSC 302Internet and WWW Basics Credit, 3 sem. hrs.
Prerequisite: CSC 114
This course is intended for the general university audience and will cover
basic Internet concepts such as telnet, ftp, and newgroups as well as World
Wide Web concepts such as searching and authoring. The social and ethical
impact of the Internet will also be examined. This course cannot be applied to
the requirements for the major in Computer Science or Computing and
Information Systems, but may be taken as part of the minor in Computer
Science or as general elective credit.
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CSC 309Discrete Structures Credit, 3 sem. hrs.
Prerequisite: CSC 216, MAT 122
Concepts of algorithms, induction, recursion, proofs, topics from logic, set
theory, combinatorics, graph theory, and automata theory fundamental to the
study of computer science.
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CSC 310 File and Systems Software Credit, 3 sem. hrs.
Prerequisite: CSC 216
Astudy of file and data storage techniques and the operating systems
software necessary to support such file systems. Topics include operating
systems, I/O, memory management, indexing, hashing, buffering, and
specialized file management techniques for database systems.
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CSC 314 Computer Organization Credit, 4 sem. hrs.
Prerequisites: CSC 216 and CSC 220
Three hours of lecture and three hours of laboratory per week. Computer
system organization; internal organization and operation of digital computers;
some systems software. Aworking knowledge of the C programming
language is assumed.
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CSC 320 Systems Analysis and Design Credit, 3 sem. hrs.
Prerequisite: instructor's consent
Physical and logical design of an operational computer system. The processes
of planning for control, implementation, change, analysis, and review of
existing systems from a technological as well as managerial standpoint will be
covered.
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CSC 330 Social & Ethical Issues in Computing Credit, 1 sem. hr.
Prerequisite: Junior standing
Astudy of the major social and ethical issues in computer science, a brief
history of computer science, the impact of computers on society, and
professional computer ethics.
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CSC 387, 388 , 389, and 380 Internship Credit, 1, 2, 3, or 6 sem. hrs.
See Internships section of the Undergraduate Catalog.
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CSC 381 Introduction to Numerical Methods Credit, 3 sem. hrs.
Prerequisites: MAT 122 and CSC 116
This course looks into the modeling of mathematical concepts on a computer.
Algorithms will be discussed and implemented which find roots of equations,
give polynomial approximations to discrete data, approximate integrals and
derivatives, solve ordinary differential equations and solve linear systems of
equations. Cross-listed as MAT 381.
Course Website

CSC 402 Advanced Data Structures Credit, 3 sem. hrs.
Prerequisite: CSC 216
Astudy of data structures and algorithms designed for their implementation.
Lists, arrays, stacks, deques, queues, graphs, trees and tree structures, and
various search and sorting techniques will be covered.
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CSC 404 Programming Language Structures Credit, 3 sem. hrs.
Prerequisite: CSC 216
Introduction to the principles of programming language design and
implementation, syntax, data types, scope, data abstractions, concurrency and
Object-Oriented Programming.
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CSC 405 Introduction to Operations Research Credit, 3 sem. hrs.
This course is the cross-listed as MAT 405.
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CSC 415 Data Base Management Systems Credit, 3 sem. hrs.
Prerequisite: CSC 216
Design and implementation of a data base management system. Also to be
included is a study of hierarchical, network, inverted and relational structures,
and application of DBMS to file organization and informational retrieval.
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CSC 416 Software Engineering Credit, 3 sem. hrs.
Prerequisites: CSC 216 and CSC 220
Astudy of the analysis, design and implementation of major software
systems. Topics include software development life-cycles and software
development product management using the C/C++ language. An exercise in
developing a large software product is central to the course.
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CSC 422 Operating Systems Credit, 4 sem. hrs.
Prerequisites: CSC 220, CSC 314
Three hours of lecture and three hours of laboratory per week. An
introduction to the various data and control structures necessary for the design
and implementation of the modern computer operating systems. Process
creation and control, interprocess communications, synchronization and
concurrency, I/O memory management, and file systems concepts are
explored in the context of the Unix operating system. Aworking knowledge of
the C programming language is assumed.
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CSC 423 Computer Networking Credit, 3 sem. hrs.
Prerequisite: CSC 422
This course is a study of the physical and logical components used in modern
computer networks. Topics include: fundamentals of signaling and data
transmission using electromagnetic media, data encoding, multiplexing,
circuit switching, packet switching, LAN and WAN technologies, internet
working concepts, transport protocols, network security, and distributed
applications. May include programming or laboratory assignments to
demonstrate key concepts.
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CSC 425 Relational Database Credit, 3 sem. hrs.
Prerequisite: CSC 216
Concepts of relational database theory and design. Topics include: the
relational algebra, relational calculus, dependency theory, normalization,
multi-valued dependency, and concurrency. Database programming using
SQLwill be used to implement typical database applications.
Course Website

CSC 431, 432, 433 Selected Topics Credit, 1, 2, or 3 sem. hrs., Respectively
These courses are offered in response to identified needs and interests.

CSC 440Introduction to Artificial Intelligence Credit, 3 sem. hrs.
Prerequisite: CSC 402
Astudy of fundamental concepts in AI. The focus is upon knowledge
representation and searching, with emphasis on expert systems. Other topics
include machine learning, natural language understanding, perception,
specialized data structures such as semantic and neural networks, and open
problems in the field of AI. Exercises using the LISP and/or Prolog languages
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CSC 450 Computer Graphics Credit, 3 sem. hrs.
Prerequisite: CSC 220
An introduction to raster graphics technology. Astudy of the theory and
practice necessary for comprehending the techniques for scientific
visualization, interface design, and 2- and 3- dimensional data representation
and manipulation.
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CSC 455 Graph Theory Credit, 3 sem. hrs.
This course is the cross-listed as MAT 455.
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CSC 460 Automata Theory and Formal Languages Credit, 3 sem. hrs.
Prerequisite: CSC 309
Astudy of languages, grammars, and machines at a theoretical level. Regular,
context free, and context sensitive languages are covered, as well as finite state,
push down and Turing machines. The concept of decideability is also
discussed.
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CSC 481 Numerical Analysis Credit, 3 sem. hrs.
Prerequisite: MAT/CSC 381
This course is a mathematical analysis of scientific computing. Topics covered
include the stability and convergence of algorithms, interval arithmetic, fixed
point iteration, matrix factorizations, norms and eigenvalues; iterative
solutions to systems. Additional discussions will focus on the design of
efficient algorithms for use on parallel computers. Cross-listed as MAT 481.
Course Website
 
 
 
 
 
 

 

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