Core Courses | Option in Software Engineering | Option in Business Computing | Option in Industrial Computing | Electives
Total Credits | Suggested Curriculum Guide | Major Professors | Course Description
TOTAL PROGRAM HOURS 30-34 hours
Core Courses for Master of Science in Applied Computing 12 hours
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Option in Software Engineering 12 hours
|
Course Code and Name |
Credit Hours |
|
CSC 825 Network Applications and Security |
3 |
|
CSC 835 CSC 835Software Engineering and Project Management II |
3 |
|
Two from:
CSC 720 Multimedia System Design
CSC 745 Theory of Database Systems
CSC 746 Artificial Intelligence
CSC 750 Graphics Programming
|
6 |
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Option in Business Computing 12 hours
|
Course Code |
Course Name |
Credit Hours |
|
CIS 850 |
Information Systems |
3 |
|
Three from:
ACC 820,
ACC 850,
CIS 860,
FIN 824,
FIN 850,
CCT 850,
and QMB 850. |
|
9 |
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Option in Industrial Computing 12 hours
|
Course Code |
Course Name |
Credit Hours |
|
INT 730 |
Manufacturing Experiment Design |
3 |
|
INT 801 |
Manufacturing Value Analysis |
3 |
|
INT 804 |
Managing Project Operations |
3 |
|
INT 805 |
Industrial Operations Research |
3 |
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Option in Bioinformatics 22 hours
|
Course Code |
Course Name |
Credit Hours |
|
BIO 710 or
STA 700 |
Biostatistics
Applied Statistical Inferences
|
3 |
|
BIO 711 |
Experimental Approaches in Molecular Biology |
4 |
|
BIO 801 |
Scientific Literature and Writing in Biology |
2 |
|
BIO 890 |
Graduate Seminar |
1 |
CECS 660 |
(Introduction to Bioinformatics at U of L) |
3 |
|
9 credit hours at 800 level for research at U of L. |
9 |
*Courses equivalent to BIO 121, 315, 348, CSC 190, 191, 195 may be required as prerequisites
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Option in Statistical Computing 12 hours
|
Course Code |
Course Name |
Credit Hours |
|
STA 700 |
Applied Statistical Inferences |
3 |
|
STA 701 or
STA 785
|
|
3 |
|
STA 775 |
STA 775 Statistical Methods Using SAS |
3 |
|
STA 880 |
|
3 |
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ELECTIVES (6 hours, no elective for Bioinformatics)
Select 6 hours of electives from the following:
|
Course Code |
Course Name |
Credit Hours |
|
ACC 820 |
|
3 |
|
ACC 850 |
|
3 |
|
BIO 710 |
|
3 |
|
BIO 711 |
|
3 |
|
BIO 801 |
|
3 |
|
BIO 890 |
|
3 |
|
CCT 850 |
|
3 |
|
CIS 850 |
Information Systems |
3 |
|
CIS 860 |
Contemporary Topics in Information Technology |
3 |
|
CIS 870 |
Strategic Information Systems |
3 |
|
CSC 730 |
Concepts of Programming Systems
|
3 |
|
CSC 735 |
Discrete Structures
|
3 |
|
CSC 740 |
Integrated DB Applications
|
3 |
|
CSC 745 |
Theory of Database Systems
|
3 |
|
CSC 746 |
Artificial Intelligence
|
3 |
|
CSC 750 |
Graphics Programming
|
3 |
|
CSC 812 |
Microcomputer Architecture and Software |
3 |
|
CSC 825 |
Network Applications and Security |
3 |
|
CSC 833 |
Data Structures and Algorithms II |
3 |
|
CSC 835 |
Software Engineering and Project Management II |
3 |
|
CSC 842 |
Parallel Algorithms |
3 |
|
CSC 890 |
Independent Study in _____ |
3 |
|
CSC 895 |
Applied Computing Project in: _____ |
3 |
|
ECO 854 |
Advanced Statistical Applications |
3 |
|
INT 706 |
Total Quality Control |
3 |
|
INT 730 |
Manufacturing Experiment Design |
3 |
|
INT 801 |
Manufacturing Value Analysis |
3 |
|
INT 804 |
Managing Project Operations |
3 |
|
INT 805 |
Industrial Operations Research |
3 |
|
MAT 755 |
Graph Theory
|
3 |
|
MAT 871 |
Numerical Analysis
|
3 |
|
MAT 872 |
Advanced Numerical Analysis
|
3 |
|
STA 700 |
Applied Statistical Inferences |
3 |
|
STA 720 |
Mathematical Statistics
|
3 |
STA 721
or STA 775 |
Mathematical Statistics II or Statistical Methods Using SAS
|
3 |
|
STA 785 |
Experimental Design |
3 |
|
TEC 830 |
Creative Problem Solving |
3 |
|
TEC 867 |
Research in Manufacturing Technology |
3 |
Credit in a student's declared option does not apply toward the elective requirements. The total number of hours of option and elective course work in the College of Business and Technology cannot exceed 15. At least half of the total hours must be from 800 level courses and at least half of the total hours must be CSC courses.
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Course Descriptions
Each course is designated to introduce new knowledge and skills as well as to reinforce existing knowledge. Collectively, the
courses will prepare the graduate level student to employ the aforementioned responsibilities and competencies.
ACS 850 Business Research and Communication. (3) A. Business research design and methodology, report writing, oral reports, leading conferences and meetings, management if information in organizations.
CIS 850 Information Systems. (3) II. Prerequisite: CIS 826 or equivalent. Information technology (IT) and information resource management and trends from user-manager perspective; impact of IT on managers, organizations, competition, and society; manager's role in developing, acquiring and managing information resources.
CIS 860 Contemporary Topics in Information Technology. (3) A. Prerequisite: CIS 850. Topics include some of the following: office automation, telecommunications, decision support systems, knowledge-based systems, executive information systems and executive support systems. May be retaken to a maximum of six hours if topics are different.
CIS 870 Strategic Information Systems. (3) A. Prerequisite: CIS 850. Strategic information systems(SIS) and technology methods, applications, issues and trends to gain competitive advantage; multinational, social, legal and governmental implication of SIS. Case and project orientation..
CSC 735 Discrete Structures. (3) A. Prerequisite: MAT 107 or equivalent, co-requisite: CSC 730. Logic, sets, functions, Boolean algebra, probability and their applications, number theory, recursion, math induction proofs with application of these topics to computer science. Credit does not apply to the M.S. degree in Mathematical Sciences.
CSC 745 Theory of Database Systems. (3) A. Prerequisite: CSC 730; CSC 735 or departmental approval. Models and principles of information systems. Database languages. The logical and physical design, and implementation and use, of database management systems.
CSC 746 Artificial Intelligence. (3) A. Prerequisite: CSC 310 with a minimum grade of “C” or CSC 730. The use of programming language to model concepts selected from artificial intelligence. The application of heuristics to problem solving. Perception and pattern recognition.
CSC 750 Graphics Programming. (3) A. Prerequisite: CSC 730; CSC 735 or departmental approval. Graphic standard, programming for storage, modification and display of graphic data structure/bases. Realistic representation and transformation of geometric objects emphasizing interactive color raster displays.
CSC 812 Microcomputer Architecture and Software. (3) A. Prerequisite: CSC 730 or departmental approval. Topics suitable for a microcomputer laboratory systems manager including IBM PC architecture and assembly language, local area networks, MS DOS, copyright law, viruses.
CSC 815 Computer Administration and Security. (3) A. Prerequisite: admission to the master's degree program in computer science, the master's degree program in math (computer science option) or departmental approval. Operating system concepts, installation and setup. System administration, managing system services, program security, viruses and worms encryption, information securtiy, security policies, legal and ethical issues.
CSC 825 Network Applications and Security. (3) A. Prerequisite: CSC 730 and CSC 815. Local Area Networks, TCP/IP, Internet Protocols, Client/ Server applications, Dynamic web pages, Internet security, firewalls, virtual private networks, network attacks, Web and E-commerce security, wireless networking and security.
CSC 831 Data Structures and Algorithms I. (3) A. Prerequisites: CSC 730; CSC 735 or departmental approval. Analysis of algorithms, data structures, files, searching, and sorting.
CSC 833 Data Structures and Algorithm II. (3) A. Prerequisite: CSC 831. Pattern matching, graph theory algorithms, computational complexity, and cryptography.
CSC 834 Software Engineering and Project Management I. (3) A. Prerequisite: CSC 730 or departmental approval. Planning, organizing, monitoring, and controlling the implementation of a software project.
CSC 835 Software Engineering and Project Management II. (3) A. Prerequisite: CSC 834. A survey of current issues in Software Engineering, software testing, metrics, quality assurance, software reuse, and reengineering.
CSC 842 - Parallel Algorithms. (3) A. Prerequisite: CSC 831. The design and analysis of parallel algorithms. Application to merging, searching, sorting, combinatorics and numerical algorithms.
CSC 860 System Programming and Administration. (3) A. Prerequisite: CSC 812. Operating system concepts, concurrent programming, scheduling, security, recovery, methods and languages for operating system management. Layering of protocols for computer networks, inter-process communications, TCP/IP, Internet protocols, Web programming, and Web server management. Credit does not apply toward the M.S. degree in Mathematical Sciences requirements.
CSC 880 Seminar in _________. (1-3) A. Prerequisite: Departmental Approval. Advanced topics in Computer Science. May be retaken to a maximum of six hours provided the topics are different..
CSC 890 Independent Study in _____ . (1-3) A. Prerequisite: Departmental approval. Independent study on a problem chosen by the student and instructor. Student must have the independent study form and course syllabus approved by faculty supervisor and department chair prior to enrollment. May be retaken to a maximum of nine hours, provided that the topics are different.
CSC 895 Applied Computing Project in:_______. (3-6) A. Prerequisite: Departmental approval. An individually developed project related to the solution of a typical problem in an applied computing environment. The result is to be presented in open forum. Credit does not apply toward the M.S. degree in Mathematical Sciences requirements.
ECO 854 Advanced Statistical Applications. (3) I. Prerequisite: ECO 848 or equivalent. Develops business and economic applications emphasizing the general linear model. Includes statistical inference, regression models, non-parametrics, and analysis of variance. Emphasis upon description and prediction of business and economic phenomena. Credit will not be awarded to students who have credit for EPY 843 or QMB 300, or STA 700 or STA 500 or ECO 320 or PSY 301 or STA 271.
INT 706 Total Quality Control. (3). Formerly MFG 806. Prerequisite: MFG 202. A study of total quality control as it relates to the integration of all functions and processes within an organization in order to achieve continuous improvement of the quality of goods and services.
INT 730 Manufacturing Experiment Design. (3) A. Prerequisite: MFG 332 and MFG 334. Principles and practices of efficient experiment design for industry. Topics include the philosophy of experiment design, comparison of various designs, hypothesis testing, and the analysis of data.
INT 801 Manufacturing Value Analysis. (3) A. Formerly IET 801. Prerequisite: ECO 230. An introduction to topics necessary for taking effective manufacturing economic decisions. Quantitative methods and computer applications will be used to formulate decisions relating to manufacturing operations.
INT 804 Project Management. (3) A. Prerequisite: departmental approval. Elements of managing projects including the use of modern project management software. Primary emphasis will be organizing of the class as a project team to work on actual projects in local manufacturing plants.
INT 805 Industrial Operations Research. (3) A. Formerly IET 805. prerequisite: departmental approval. Concepts and applications of analytical models in industrial decision- making. Includes general concepts of models and simulation, mathematical programming, game theory, and sequential network logic in determining optional industrial strategies.
MAT 755 Graph Theory. (3) A. Introduction to the theory and applications of graph theory. Topics will include trees, planarity, connectivity, flows, mathching and coloring. It is strongly recommended that students have completed a course in abstract algebra or discrete structures.
MAT 871 Numerical Analysis. (3) A. Prerequisite: MAT 871 or equivalent. Continuation of MAT 871 with greater depth. Least square and minimax approximation, direct and iterative solutions of linear systems, zeros, extrema by iteration, eigenvalue problems.
MAT 872 Advanced Numerical Analysis. (3) A. Prerequisite: CIS 850. Topics include some of the following: office automation, telecommunications, decision support systems, knowledge-based systems, executive information systems and executive support systems. May be retaken to a maximum of six hours if topics are different.
STA 700 Applied Statistical Inferences. (3) A. Prerequisite: six hours of statistics or three hours of statistics and departmental approval. Simple, efficient nonparametric methods without normality assumptions. Tests, estimation of proportions, medians, two-sample location/dispersion, one and two-way layout, independence, regression.
STA 720 Mathematical Statistics. (3) A. Descriptive Statistics, continuous probability distributions for one and two variables, functions of random variables, sampling distributions. It is strongly recommended that students have completed eight hours of calculus and three hours of probability or statistics.
STA 721 Mathematical Statistics II. (3) A. Prerequisite: STA 520 or STA 720. A continuation of STA 720. Estimation theory, tests of hypothesis, linear regression and correlation, multiple linear regression, analysis of variance, allied topics. Credit wil not be awarded to students who have credit for STA 500/700. It is strongly recommended that students have completed an undergraduate course in linear algebra.
STA 775 Statistical Methods Using SAS. (3) A. Prerequisite: one of STA 270, 500/700, or 521/721; or a course in statistical inference. Statistical methods focusing on the use of the SAS computer package and interpretation of data. Assumptions of parametric and nonparametric tests.
STA 785 Experimental Design. (3) A. Prerequisite: one of STA 500/700, 501/701, or 521/721, 575/775; or a course in statistical inference. Analysis of variance and experimental design including completely randomized designs; randomized blocks; latin squares; factorial experiments; fixed, random and mixed models; and nested and nested-factorial experiments.
TEC 830 Creative Problem Solving. (3) A. Formerly IET 830. A review and analysis of basic and applied research in the development of creative behavior with emphasis on its application to industrial teaching and industrial problem solving. Students will be expected to complete a team project showing their creative abilities.
TEC 867 Research in Manufacturing Technology. (3) A. Formerly IET 867. Independent research in manufacturing technology supervised by the graduate advisor and other staff members. Topic must be approved before registration. May be retaken to a maximum of 6 hours.
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