I have taught a wide variety of courses, including the following:
DSC 3100. Introduction to Business Statistics.
DSc 3120. Generalized Modeling Techniques with Applications.
DSc 4120. Design of Analysis for Decision Making.
DSc 4130. Managerial Problem Solving.
DSc 4380. Directed Readings in Decision Sciences.
DSc 8020. Introduction to Decision Support Systems.
DSc 8090. Probability and Statistical Theory II.
DSc 8130. Problem Solving and Decision Making Processes.
DSc 8140. Management Science Model Building for Decision Making.
DSc 8350. Risk Benefit Analysis.
DSc 8380. Directed Readings in the Decision Sciences.
DSc 8500. Methods of Business Research.
DSc 8780. Knowledge-based Decision Support Systems.
DSc 9200.  Seminar in the Decision Sciences.
DSc 9250. Reading Seminar in the Decision Sciences.
MBA 7025. Statistical Business Analysis
MBA 8011. Statistical Analysis for Managers.
Phil 2410. Critical Thinking

I have also taught three courses overseas, one of them twice:
Problem Solving and Decision Making Processes, Caucasus School of Business, Tbilisi, Republic of Georgia, Spring 2000,
Business Applications of Soft Computing, Azerbaijan State Oil Academy, Baku, Azerbaijan, Sprng 2002.
Business Applications of Soft Computing, Azerbaijan State Oil Academy, Baku, Azerbaijan, Sprng 2003.
Decison Science, American University in Bulgaria Executive MBA program, Spring 2003.
 

DSC 3100. Introduction to Business Statistics. (3) Prerequisite: Math 1220. CSP: 1, 2.
    The emphasis in this course is on fundamentals of statistical data analysis and information processing for decision making, including escriptive statistics, variation, and inference . The use of computers for statistical data processing is practiced throughout the course.

 DSc 3120. Generalized Modeling Techniques with Applications. (3) Prerequisite: DSc 3100.
   CSP: 1, 2, 6. B.B.A. Students may not reg- ister for this course until EC 2010, EC 2020, and Ac 2020 are passed with degree credit.
    This course provides a frame of reference for using models in support of decision making in an  enterprise, then introduces some of the most commonly useful modeling approaches and  principles. Topics covered include model components, deterministic simulation, time series and causal forecasting, decision analysis, and Monte Carlo simulation . The course emphasizes hands on application of the techniques using commonly available software.

DSc 8020. Introduction to Decision Support Systems. (3) Prerequisite: none. CSP: 1, 2, 4,6.
This course focuses on the features, uses, and design strategies for alternative types of decision support systems. Students will design and validate model-based, data-based, and knowledge-based support systems to aid managerial problem solving. Implementation issues will also be addressed.

DSc 8090. Probability and Statistical Theory II. (3) Prerequisite: DSc 8080.
This course covers advanced topics in the theory of probability and statistics including Bayesian estimation, chi-square tests, quadratic forms, analysis of variance, nonparametric statistics, sufficiency, and the multivariate normal distribution.

DSc 8130. Problem Solving and Decision Making Processes. (3) Prerequisite: MBA 8011.
The course focuses on how managers, individually and in groups, make decisions. It covers the major descriptive and normative models of managerial problem diagnosis and alternative generation. By comprehending how managers solve problems, students will be prepared to build computer-based support tools. Cases and mini-examples are used to apply the concepts and methods to real-world problems


 
 

DSc 4120. Design of Analysis for Decision Making. (3) Prerequisite: DSc 3120. CSP:1,2,6.
    This course builds on DSc 3120 by extending those modeling skills within an application's framework. This course employs the Guided Design Methodology, a formal approach to the development of more productive models within unstructured problem situ- ations. Lectures are complemen- ted by small group exercises in the application of analytical techniques to increasingly complex problems.

DSc 4130. Managerial Problem Solving. (3) Prerequisite: DSc 3100.
    This course focuses on how managers, individual and in groups, solve problems. The course draws from the areas of logic, creativity, small group behavior, and the decision sciences. It covers the art and science of managerial problem diagnosis, alternative generation, and choice.
    Through cases and examples students apply the problem solving concepts and methods to real-world problems.

 DSc 4380. Directed Readings in Decision Sciences. (1-3) Prerequisite: consent of Instructor,  minimum GSU cumulative GPA of 2.00.
 

MBA 8011. Statistical Analysis for Managers. (3) Prerequisite: Math 1220. CSP: 1,2.
This course provides the basic background in statistical analysis necessary for an understanding of various aspects of organizational planning, problem solving and decision making. The course presents descriptive tools essential to running a business, and provides a foundation in statistical inference, model building for forecasting, and quality assurance. Computer exercises and cases reinforce the principles.

Phil 2410. Critical Thinking.(2)
Development of practical, logical, and problem- solving skills important to all disciplines, with emphasis on the composition of argumentative essays.
 Definitions, types of meanings, fallacious and deceptive arguments, deductive and inductive reasoning. This course may be used as one of
the courses required in Area B, Institutional Options.

DSc 8140. Management Science Model Building for Decision Making. (3) Prerequisite: MBA 8011. CSP: 1, 3
Various programming techniques are surveyed with an emphasis on the why and how of these types of models as opposed to a detailed theoretical approach. Students develop programming models which relate to their areas of interest. Stored computer programs are used extensively in order to accomplish the mathematical manipulations. Emphasis will be placed on input requirements and interpretation of results.

DSc 8350. Decision Theory and Application. (3) Prerequisite: MBA 8011. CSP: 1, 2, 3.
The course will develop the basic elements involved in decision making and integrate them in developing a systematic theory of decision making under uncertainty. It will examine the problems of measurements of uncertainty, utility, and payoffs in decision making, and explore the costs of various decision criteria.

DSc 8380. Directed Readings in the Decision Sciences. (1-3) Prerequisite: consent of instructor, good academic standing.

DSc 8500. Methods of Business Research. (3) Prerequisites: MBA 8011, DSc 8080. CSP: 1.
This is intended to be a course where students will get an opportunity to apply the analytical tools that they acquire in the MS-DSC sequence of courses. Methodology of research will be discussed with special reference to business problems. The student will carry out a research project as a part of this course. The design of these projects will receive the major emphasis.

DSc 8780. Knowledge-based Decision Support Systems. (3) Prerequisite: DSc 8020 or consent of instructor. CSP: 1, 2, 4.
This course deals with decision support systems which represent expert knowledge of problem-solving rules and heuristics directly in a knowledge base. Students' projects will use available expert system 'shell' programs as DSS generators to acquire, represent, refine, and use expert knowledge in specific application areas such as financial analysis, auditing, and market analysis.

DSc 900. A, B, C. Seminar in the Decision Sciences. (3) Prerequisite: consent of instructor.
These courses will concentrate on the elements of the decision process. The primary media used for instruction will be presentations of decision making applications in organizational environments.

DSc 9250. Reading Seminar in the Decision Sciences. (3) Prerequisite: consent of instructor.
The coverage of this course will be highly variable. The course will allow a student with special interest in an area to pursue his or her interest in whatever depth and direc0 tion is appropriate. Examples of such areas are topics not covered in other course offerings and special in depth coverage beyond normal course offerings. Instruction and guidance will normally be on a tutorial basis.