08-09 Graduate Catalog/w pics - University of Louisiana at Monroe

GRADUATE COURSES 109
CINS 510 and CINS 505 (or CINS 220, CINS 306, CINS 340 or proficiency in programming,
networking, and database.) or the permission of the graduate coordinator.
535. ELECTRONIC COMMERCE APPLICATIONS DEVELOPMENT. 3 cr. Development and
implementation of electronic commerce applications; strategies and techniques for designing
and implementing multi-tier distributed applications for use on the Internet. Prerequisites: CINS
530.
591. DIRECTED STUDY. 3 cr. Individual study of topics in advanced computer information systems
under the direction of a senior faculty member. Prerequisites: Twelve semester hours of BMBA
courses and a minimum graduate GPA of 3.5.
COMPUTER SCIENCE
(CSCI)
For Graduates Only
503. COMPUTER SCIENCE FOR PROFESSIONALS. 3 cr. Presentation of computer science
fundamentals from the perspective of professional usage.
504-506. ADVANCED COMPUTER SCIENCE FOR PROFESSIONALS. 3 cr. each. Continuation of
Computer Science 503, including advanced programming, data structures, and applications.
Prerequisite: 503.
505. COMPUTER APPLICATIONS FOR PROFESSIONALS. 3 cr. Extensive work with software
utilization and applications. Prerequisite: 503.
507-508. COMPUTER SCIENCE FOR THE SECONDARY COMPUTER SCIENCE TEACHER. 3 cr.
each. Current topics for the high school classroom are presented at an elementary level and
reinforced with advanced material. Prerequisite: Advanced programming skills and Approval of
the Department Head.
509. PROGRAMMING IN LOGOWRITER. 3 cr. Standard programming topics such as sequence,
iteration, selection, procedures, text processing, graphics, and recursion will be implemented in
the LogoWriter language. Prerequisite: 503.
510. FUNDAMENTALS OF SOFTWARE DEVELOPMENT. 3 cr. An introduction to the process of
algorithmic development using modern programming languages, machine organization as it
relates to data representation and portability, validation and verification, and the social and
ethical problems related to software. Prerequisite: 504 or Consent of Department Head.
511. SOFTWARE METHODOLOGY. 3 cr. An introduction to the principles and methods used in the
development of large software systems. The concept of abstract data types as it relates to
internal and external data is introduced and reinforced through the characterization of
fundamental data and file structures. Computational complexity and object-oriented
programming concepts are also introduced. Prerequisite: 510.
514. INTEGRATING INTERNET WITH INSTRUCTION. 3 cr. Introduction to the use of Internet,
technological information, national, and state standards for mathematics and science, reform
methodologies, classroom techniques. Prerequisite: 503 or Consent of Department Head. Not
open to students with prior credit in 516.
516. RESEARCH WITH THE INTERNET. 3 cr. Internet and common tools of access such as telnet,
FTP, e-mail, gopher, WWW, and Mosaic. Discussion of Internet in the classroom, workplace, and
research. Emphasis on research use. Prerequisite: 503 or consent of department head. Not
open to students with prior credit in 514.
520-521. STATISTICAL METHODS FOR THE EXPERIMENTER. 3 cr. each. Data description,
probability and probability distributions, estimation and tests of hypothesis, linear regression and
correlation, multiple comparisons, multiple regression; analysis of variance for completely
randomized, randomized block. Latin square, factorial and k-way classification, and unbalanced
designs; expected mean squares, analysis of covariance. The use of SAS and SPSS statistical
computer packages. Emphasis is on methodology and only a high school background in
mathematics and no prior knowledge of statistics is assumed. Credit cannot be earned in both
437-438 and 520-521. (Same as Mathematics 520-521.)
522. MULTIVARIATE STATISTICAL METHODS FOR RESEARCHERS. 3 cr. An introductory course
in applied multivariate statistical methods for the researcher. Emphasis is on concepts and the
application of procedure. Topics to be covered include multivariate normal distribution theory,
statistical distance, hypothesis testing, multivariate structure, graphics, and exploratory
techniques. Same as Mathematics 522.
536. MATHEMATICAL CONCEPTS OF OPERATIONS RESEARCH. 3 cr. Game Theory, convexity,
nonlinear programming, classical optimization, theory of queues, simulation techniques.
Prerequisite: 435.