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COLLEGE OF ENGINEEERING

General Information

Bachelors of Science Offered:

  • Civil Engineering
  • Computer Science
  • Electrical Engineering
  • Industrial Engineering
  • Mechanical
    Engineering
  • Metallurgical and
    Materials Engineering

    Departments:

  • Civil Engineering
  • Computer Science
  • Electrical and
    Computer Engineering
  • Mechanical and
    Industrial Engineering
  • Metallurgical and Materials Engineering

    Dr. Andrew Swift, Dean
    Dr. Stephen Stafford, Associate Dean
    Dr. Pablo Arenaz, Associate Dean for Entering Students
    Dr. Vijay Singh, Associate Dean for Research
    Dr. Darrell Schroder, Assistant Dean

    Engineering/Science Complex
    Engineering Building, Room E230
    Phone: (915) 747-5460
    Fax: (915) 747-5616
    E-mail: engineer@utep.edu


  • Computer Science

    234 Computer Science Building
    Phone: (915) 747-5480
    Fax: (915) 747-5030
    Website: http://cs.utep.edu

    CHAIRPERSON: David Novick
    PROFESSORS: Bernat, Gelfond, Kreinovich
    ASSOCIATE PROFESSORS: Ewton, Longpré
    ASSISTANT PROFESSORS: Gates, Teller
    LECTURER: Bell

    Computer Science (CS)

    1310 Introduction to Computer Programming (3-0)(Common Course Number COSC 1301 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.

    1401 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 1410 or MATH 1508, with a grade of "C" or better.

    1420 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 1410 or MATH 1508, with a grade of "C" or better.

    2302 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 2401 and MATH 2300.

    2401 Programming and Algorithms (3-3) (Common Course Number COSC 1418)
    Continuation of CS 1401 1401, including the remainder of the PASCAL language. Introduction to algorithmic analysis including searching, sorting, string processing, and recursion. Prerequisite: CS 1401.

    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 3432 3432.

    3320 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 2302 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 1420 or CS 1401.

    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 2302 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 2302 or CS 3333.

    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 2302 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 2302 or (2) CS 3333 and MATH 3323.

    3432 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 2302 or CS 3333.

    4195 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.

    4310 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.

    4311 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 4310.

    4320 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.

    4342 Database 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 2302 or CS 3333 .

    4352 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.

    4365 Topics in Soft Computing (3-0)
    Introduction to basic concepts and techniques of soft computing, including neural, fuzzy, evolutionary, and interval computations, and their applications. This course may be repeated for credit when topic varies. Prerequisites: EE 3384 or STAT 3320 and MATH 3429.

    4371 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.

    4375 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 3320.

    4390 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.

    See the Graduate Studies Catalog for graduate programs and courses.

     

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