SCHOOL OF BUSINESS
COMPUTER SCIENCE COURSES (CS)
150 Microcomputers and Software Applications I (3) F, S, SU.
Introduction to microcomputer hardware and software. Topics include
computer fundamentals, word processing, electronic spreadsheets,
data bases, and other microcomputer application areas. Solutions
for several problems using microcomputers and commercial software
will be required.
160 Microcomputers and Software Applications II (3) (Prerequisite: 150 or permission of the program) F, S, SU.
A continuation of 150; students will study additional concepts
of microcomputers and microcomputer applications software including
word processing, spreadsheets, databases, and presentation software,
emphasizing more advanced applications and integration of the
packages in dealing with typical professional usage.
175 Introduction to Network Use (3) F, S, SU. Introduction to the use of networks. Topics include
an overview of network types and terminology: file transfer; use
of on-line services, bulletin boards; LANs and the Internet; e-mail;
information resources; remote access to host computers; connection
via telephone lines; social and ethical issues of networks; and
a survey of trends in network development.
190 Programming Fundamentals (3) F, S, SU. Introduction to problem-solving and algorithm development
techniques based on the program development process. Study of
basic computer concepts and computer systems; elementary data
types and date structures; input and output processing; control
structures; modular program design; elementary file processing;
algorithm design and evaluation. Students will apply these ideas
by analyzing specifications, designing solutions, and implementing
programs based on this analysis and design.
212 Introduction to FORTRAN (3) (Prerequisite: Eligibility to take Math 111 [or higher] or
permission of the program) (Same as Math 212) F, S, SU. A study
of programming to include input and output procedures, arithmetic
and logical operations, DO loops, branching procedures, arrays,
declaration statements, and subroutines. Application of these
ideas by writing, running, and correcting programs.
225 Modern Programming (3) (Prerequisite: A grade of C or better in CS 190 or permission
of the program) F, S, SU. A continuing study of the concepts presented
in CS 190. Topics include problem solving, algorithm and program
development, data types and operations, objects and classes, arrays,
and event-driven programming.
226 Programming and Algorithmic Design I (3) (Prerequisite: C or better in 190 or permission of the program)
F, S, SU. Introduction to problem-solving with algorithm and program
development. Includes: problem analysis, algorithm representation
and verification, scalar and structured data types, file input
and output, techniques for program design, coding, testing, and
documentation and basic sorting, and searching algorithms.
227 Programming and Algorithmic Design II (3) (Prerequisite: C or better in 226) F, S, SU. Continuing study
of algorithmic design, implementation, and analysis including
object oriented design and implementation, abstract data types,
stacks, queues, and linked structures.
280 Digital Systems Design (3) (Prerequisites: A grade of C or better in 212, or 227, and
a grade of C or better in Math 230) F. Starting from a description
of digital circuits regarding as functional blocks, the course
leads to a consideration of the logical design of combinational
and sequential digital systems. Topics include binary representation
of information, gate types, combinational circuit design, counters,
registers, arithmetic circuits, sequential circuit design, and
programmed logic. Students will gain practical experience by applying
lecture material in a hands-on laboratory setting.
310 Computer Architecture and Organization (3) (Prerequisite: A grade of C or better in 280) S. A study
of hardware organization, memory addressing and structure, CPU-memory
I/O relationships, organization of computer processors, memories,
and interconnections. Students will look at processor control,
data units, memory structure, microprogramming, the role of assembly
language, timing, I/O design, current architectures, and alternate
hardware designs. Must have a 2.25 GPA or higher in all courses
which are required in the computer science major or minor.
313 Systems Design and Development (3) (Prerequisite: A grade of C or better in CS 226. Pre/Corequisite:
CS 227 ) F, S, SU. Development of computerized systems focusing
on structured systems analysis and its application to information
system software development. Emphasis will be on problem analysis,
correctness, reliability, and maintainability. Must have a 2.25
GPA or higher in all courses which are required in the computer
science major and minor.
318 Data Structures and Algorithm Analysis (3) (Prerequisite: A grade of C or better in 313) F, S. An overview
of the structure and implementation of data structures, including
lists, trees, heaps, and tables, and an examination of searching,
sorting and other algorithms, including implementation and analysis
of their efficiency. Must have a 2.25 GPA or higher in all courses
which are required in the computer science major or minor.
330 Special Topics in Computer Science (3) (Prerequisite: Permission of the program) As Needed. In-depth
study of an area of interest in computer science. Different areas
of study will be offered. Must have a 2.25 GPA or higher in all
courses which are required in the computer science major or minor.
Must have a 2.25 GPA or higher in all courses which are required
in the computer science major or minor. May be taken twice for
academic credit with departmental approval.
340 Software Design and Development (3) (Prerequisite: A grade of C or better in 318 or permission
of the program) S. Design techniques used in creating large program
packages, organization and management of projects, and application
of techniques in team projects. Must have a 2.25 GPA or higher
in all courses which are required in the computer science major
or minor.
350 Theory of Computation (3) (Prerequisite: A grade of C or better in 318 and Math 230)
F. Introduction to the abstract concepts encountered in machine
computation. Topics include finite automata, regular expressions,
and formal languages, with emphasis on regular and context-free
grammars. Questions related to decidability and undecidability
are looked at by considering various models of computation including
Turing machines, recursive functions, and universal machines.
Must have a 2.25 GPA or higher in all courses which are required
in the computer science major or minor.
360 Introduction to Computer Graphics (3) (Prerequisite: A grade of C or better in 318; Math 304 is
strongly recommended) F. Principal topics include graphics devices,
vector vs. raster graphics, lines and curves, animation, linear
transformations, three-dimensional graphics and wire-frame models,
and viewing objects with the synthetic camera. Must have a 2.25
GPA or higher in all courses which are required in the computer
science major or minor.
401 Programming Languages (3) (Prerequisite or Corequisite: 350) S. Formal language concepts,
language syntax and semantics, language design and implementation,
data types, data abstraction, control structures, procedure mechanisms,
lexical analysis, parsing, and run-time organization as exemplified
by a variety of programming languages and paradigms. Must have
a 2.25 GPA or higher in all courses which are required in the
computer science major or minor.
410 Operating Systems (3) (Prerequisite: A grade of C or better in 310 and 318) F.
Sequential processes and concurrent program concepts and their
application to operating system design; synchronization constructs:
monitors, conditional critical regions, and the use of semaphores;
resource concepts, resource allocation and management; dynamic
protection and the structure of operating systems. Must have a
2.25 GPA or higher in all courses which are required in the computer
science major or minor.
420 Compiler Construction (3) (Prerequisite: A grade of C or better in 318 and 350; prerequisite
or Corequisite: 401) AF. Syntax and semantic analysis of source
and target language; language translation and translators; a one-pass
compiler model; phases of a compiler; lexical and syntax analysis;
parsing; error recovery; intermediate code generation; code optimization;
final code generation. Must have a 2.25 GPA or higher in all courses
which are required in the computer science major or minor.
425 Numerical Analysis (3) (Prerequisite: Mathematics 203 and a grade of C or better
in one of 212 or 227) (Same as Math 425) F. Techniques and types
of errors involved in computer applications to mathematical problems.
Topics include techniques for solving equations, systems of equations,
and problems in integral calculus. Computer solutions for several
problems will be required. Must have a 2.25 GPA or higher in all
courses which are required in the computer science major or minor.
430 Data Base Management Systems Design (3) (Prerequisite: A grade of C or better in 313 or permission
of the program) AS. Close study of the goals of DBMS, various
data models and their implementations, normalization, file organization,
security, and integrity. Must have a 2.25 GPA or higher in all
courses which are required in the computer science major or minor.
437 Artificial Intelligence (3) (Prerequisite: A grade of C or better in 318 and Math 230;
350 is recommended.) AS. An introduction to the fundamental principles
of artificial intelligence: problem-solving methods, state-space
representation, heuristic search, problem-reduction techniques,
machine inference, game-playing, knowledge representation, and
cognitive processes. Applications of these concepts to practical
problems in society will be considered, looking at such areas
as neural networks, expert systems, robotics, natural language
processing, and computer vision. Must have a 2.25 GPA or higher
in all courses which are required in the computer science major
or minor.
440 Computer Networks (3) (Prerequisite: A grade of C or better in 310 and 318) AF.
A consideration of the technology and architecture of computer
networks, emphasizing principles and concepts of both logical
and physical connectivity and communication. Particular attention
will be placed on network topology, transmission media, medium
access, standards, internetworking, and network management and
security.
480 Senior Seminar (3) (Prerequisite: Senior Status or permission of the program)
F, S. Students will be expected to plan, carry out, and present
the results of research projects. Faculty and off-campus speakers
will be invited to make presentations on current trends in the
computer industry including social and ethical issues as well
as technical topics. Students will participate in various forms
of assessment of their academic preparation. Must have a 2.25
GPA or higher in all courses which are required in the computer
science major or minor.
497 Special Studies (3), (2), or (1) (Prerequisite: Permission of the program) As
Needed. Open only to juniors or seniors with a GPA of 3.0 or higher
in their major courses. A maximum of 3 semester hours may be earned.
Academic Committee approval required for each seminar and practicum.
All individual research projects are reviewed by three faculty
members from two different disciplines. Must have a 2.25 GPA or
higher in all courses which are required in the computer science
major or minor.
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