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Computer Science Web site at:http://cs.utep.edu/
234 Computer Science Building
(915) 747-5480
CHAIRPERSON: Daniel E. Cooke
PROFESSORS: Bernat, Cooke, Gelfond, Kreinovich
ASSOCIATE PROFESSORS: Baral, Ewton, Longpre
ASSISTANT PROFESSOR: Gates, Teller
LECTURER: Bell
Computer Science (CS) Courses
3110 Introduction to Computer Programming (3-0)
(Common Course Number COSC 1301)
Fundamentals of computers including software, hardware, impact on society, and beginning programming in a high-level language, such as PASCAL.
Designed for students not engaged in mathematically oriented studies.
4101 Introduction to Computer Science (3-3)
(Common Course Number COSC 1430)
An introduction to computers, impact of computing, problem solving, programming
environments including editors, compilers, and loaders, and to elementary PASCAL
through arrays. Prerequisite to all other courses for the major in Computer Science.
Prerequisite: MATH
4110.
4120 Computer Programming for Scientists and Engineers (3-3)
(Common Course Number COSC 1405)
Introduction to computers and problem solving with digital computers. A procedural programming language will be utilized to solve scientific and
engineering oriented problems. Visualization methods will also be used to provide an experimental approach to problem solving. Prerequisite: MATH
4110.
3202 Data Structures (3-0)
(Common Course Number COSC 2318)
Abstract data types, representation of data using sets, lists, trees, and graphs. Storage allocation and collection techniques. Prerequisites: CS 4201
and MATH
3200.
4201 Programming and Algorithms (3-3)
(Common Course Number COSC 1418)
Continuation of CS 4101, including the remainder of the PASCAL language. Introduction to algorithmic analysis including searching, sorting, string
processing, and recursion. Prerequisite: CS 4101.
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3320 Introduction to Computer Architecture (3-0)
The organization and structuring of the major hardware components of computers; the mechanics of information transfer and control within a digital
computer system; the fundamentals of logic design; machine instructions; addressing techniques. Prerequisite: CS 4332.
3330 Problem Oriented Programming Languages (3-0)
A detailed study of one or more modern programming languages (C, Ada, Module-2, LISP, PROLOG, etc.), which is of particular value in a student's
area of interest. Languages will be taught in rotation. May be repeated once for credit as a technical elective when the application area of the
programming language differs. Prerequisite: CS 3202 or CS 3333.
3333 Basic Concepts in Computer Science (3-0)
Introduction to the fundamentals of data types (lists, trees, sets, graphs, etc.), searching and sorting, context-free languages, finite automata, and Turing
Machines. May not be counted toward the major in Computer Science. Prerequisite: CS 4120 or CS 4101.
3335 Systems Programming (3-0)
The design and implementation of the programming environment including editors, compilers, loaders and linkers, debuggers and operating systems.
Prerequisite: CS 3202 or CS 3333.
3350 Automata, Computability, and Formal Languages (3-0)
Languages and their grammars. Chomski's classification of abstract languages. The connections between languages, machines, and neural networks.
Finite and infinite automata; their structure, capabilities, and limitation. Prerequisite: CS 3202 or CS 3333.
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3360 Design and Implementation of Programming Languages (3-0)
Design features of modern programming languages including flow control mechanism and data structures; techniques for implementation of these
features. Prerequisite: CS 3202 or CS 3333.
3370 Computer Graphics (3-0)
An introduction to representation and display of graphical information including line, character, and curve generation. Emphasis on two-dimensional
techniques. Prerequisite: (1) CS 3202 or (2) CS 3333 and MATH
3323.
4332 Assembler Language Programming (3-3)
Symbolic coding of instructions and data, macro definition and use, subroutines and linkage, input/output handling at the assembly level, and the
structure of assemblers. Prerequisite: CS 3202 or CS 3333.
1471 Computer Science Problems (0-0-1)
Original investigation of special problems in the student's area of interest, the problem being selected by the student in consultation with the instructor
and with the permission of the Chairperson of the Computer Science Department. May be repeated for credit. Prerequisites: Senior standing in
Computer Science and department approval.
1495 Senior Professional Orientation (1-0)
Introduction to the Computer Science profession with emphasis on job placement and professional ethics. Senior standing in Computer Science.
Required of all students prior to graduation. Offered in the Fall semester only.
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3410 Software Engineering I (3-0)
Design techniques including top-down design and development, information security, and stepwise refinement. Organizing and managing software
system development including milestones, estimating, teams, walk-throughs, and documentation. Prerequisite: Senior standing.
3411 Software Engineering II (3-0)
Implementation of the project designed in CS 3410 providing practical experience in the design and implementation of large programming projects.
Prerequisite: CS 3410.
3420 Artificial Intelligence (3-0)
Introduction to basic concepts and techniques of artificial intelligence including knowledge representation, search strategies, symbolic logic, expert
systems, and applications. Prerequisite: CS 3350 or CS 3333.
3442 Data Base Management (3-0)
Introduction to data base concepts, hierarchical, network and relational data models, data description and query languages, file and index organization,
and file security and integrity. Both mainframe and small computer approaches will be covered. Prerequisite: CS 3202 or CS 3333.
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3452 Translation of Programming Languages (3-0)
The structure of compilers and interpreters. Lexical analysis, syntax analysis, and formal description of programming languages. Semantic analysis,
intermediate languages, and optimization. Compiler writing languages and bootstrapping. Prerequisite: CS 3333 or CS 3350.
3465 Neural Networks (3-0)
Introduction to basic concepts and techniques of neural networks, including their relation to biological neurons, their computational and learning abilities,
and applications of neural networks.
3471 Computer Science Problems (0-0-3)
Original investigation of special problems in the student's area of interest, the problem being selected by the student in consultation with the instructor
and with the permission of the Chairperson of the Computer Science Department. May be repeated for credit. Prerequisites: Senior standing in
Computer Science and department approval.
3475 Theory of Operating Systems (3-0)
Topics include multiprocessing, time sharing and real time systems, scheduling and resource allocation, virtual memory, paging and segmentation, and
file management. Prerequisite: CS 3335 or CS 3330.
3490 Special Topics in Computer Science (3-0)
Selected topics of current interest in Computer Science. May be repeated for credit when topic varies. Prerequisites: Senior standing in Computer
Science and department approval.
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