Mississippi College

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, word processing, spreadsheet and database software, the Internet and a graphical user environment.  

 

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.

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.  

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.

CSC 220: C/C++ Language Programming

Credit, 3 sem. hrs. 
Prerequisites: CSC 116, or instructor's consent 
A study of the syntax and features of the C and C++ programming languages.

CSC 231, 232, 233: Selected Language Programming

Credit, 1, 2, or 3 sem. hrs, respectively 
Prerequisites: CSC 220 or instructor's consent 
A study 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.

CSC 300: Fundamentals of Computer Science for Educators

Credit, 3 sem. hrs. 
Prerequisite: CSC 216 
A study 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.

CSC 302: Internet 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.

CSC 309: Discrete 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. 

CSC 310: File and Systems Software

Credit, 3 sem. hrs. 
Prerequisite: CSC 216 
A study 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.

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. 

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.

CSC 330: Social & Ethical Issues in Computing

Credit, 1 sem. hr. 
Prerequisite: Junior standing 
A study 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. 

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. 

CSC 387, 388 , 389, and 380: Internship

Credit, 1, 2, 3, or 6 sem. hrs. 
See Internships section of the Undergraduate Catalog. 

CSC 402: Advanced Data Structures

Credit, 3 sem. hrs. 
Prerequisite: CSC 216 
A study 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. 

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. 

CSC 405: Introduction to Operations Research

Credit, 3 sem. hrs. 
This course is the cross-listed as MAT 405. 

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. 

CSC 416: Software Engineering

Credit, 3 sem. hrs. 
Prerequisites: CSC 216 and CSC 220 
A study 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. 

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. 

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.

CSC 425: Relational Database

Credit, 3 sem. hrs. 
Prerequisite: CSC 21
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. 

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 440: Introduction to Artificial Intelligence

Credit, 3 sem. hrs. 
Prerequisite: CSC 402 
A study 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.

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. 

CSC 455: Graph Theory

Credit, 3 sem. hrs. 
This course is the cross-listed as MAT 455. 

CSC 460: Automata Theory and Formal Languages

Credit, 3 sem. hrs. 
Prerequisite: CSC 309 
A study 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. 

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.

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