84 / FIELDS OF INSTRUCTION both the M.A. and the Ph.D. programs are decision sciences, information systems and production, and op- erations management. The Ph.D. curriculum includes course work in four areas: breadth, research foundations, the major field, and electives. The breadth requirement applies only to students enter- ing without prior course work in business administration. Students who do not meet the requirement by virtue of their undergraduate or graduate programs before begin- ning the Ph.D. program must take at least three graduate courses in functional areas in the College of Business Administration, outside their major area. These courses will be approved by the student's supervisory committee. The research foundations requirements for students in decision sciences are as follows: STA 4321 and 4322-Mathematical Statistics I and II or STA 6166 and 6167-Statistical Methods I and II; QMB 6827-Linear Programming for Management Scientists or ESI 6417-Linear Programming and Network Optimization; QMB 6607-Decision Processes Under Uncertainty; MAN 6511-Production Management Problems; ESI 6429-Nonlinear and Dynamic Programming. The research foundation requirements for students in information systems are as follows: STA 4321 and 4322 or STA 6166 and 6167; QMB 6827 or ESI 6417; CAP 6627-Expert Systems or CAP 6652-Artificial Intelligence Concepts; CIS 6120-Database Management Systems or ACG 5405; CAP 5021- Computer-Based Business Man- agement; ACG 6495- Management Information Systems Seminar. In some cases, students may substitute more advanced course for the courses listed under the research foundation requirements. The major field course work is made up of a set of at least four graduate courses and/or seminars plus other work specified by the student's supervisory committee. In addition, the student is required to attend the DIS Work- shop series, which features presentations by both Univer- sity of Florida faculty and students and researchers from other institutions. Electives are selected from advanced DIS seminars and other related disciplines. There is no minor requirement. The M.A. curriculum is designed primarily as a "feeder" to the Ph.D. program. Students take the same course work as Ph.D. students, wth the exception that they are required to take fewer electives and courses in the major field. Students may select a nonthesis option, substituting two advanced DIS seminars/courses for the thesis. The normal time for completion of the M.A. program is two years. For additional course descriptions, and information on the MBA program, please consult the Business Administration-General listing. ISM 5021-Information Systems In Organizations (3) Prereq: consent of instructor. Introduction for graduate students with minimal microcomputer operation skills. Topics include the range of computer information technology available, language types and procedural languages, applications in organizations, management of resources, and trends. Students use microcom- puters in the College's computing laboratories. MAN 5505-Operations Management (3) Prereq: GEB 5756. Designed for MBA candidates. Purpose of course is to introduce the student to the general class of problems associated with managing production facilities.' MAN 6511-Production Management Problems (3) Problems in the management of industrial enterprise; management principles and mathematical analysis applied to manufacturing; product development and production; materials and production control; employee relations. OPM 6505-Management of Service Operation (3) Designed for MBA candidates. Case studies and problems, including systems design, operation, and control; emphasis on waiting-line sys- tems. QMB 5200-Introduction to Managerial Statistics (3) Prereq: basic statistics, calculus. Designed for MBA candidates. Basic concepts and methods of probability and statistics, stressing applications in analyzing and solving business problems. QMB 5600-Decision Sciences (3) Prereq: CAP 5001, QMB 5200. Mathematical approaches and techniques applicable to the analysis and solution of managerial problems, with careful attention to problem formulation, mathematical analysis, and solution procedures. Substantial case work. QMB 6358-Statistical Analysis for Managerial Decisions (3) Prereq: CAP 5009, QMB 5200, MAN 5505. Designed for MBA candidates. Data application techniques with broad application to managerial problems. Emphasis on difficulties which can arise in the application of the techniques and in the interpretation of results. Experience in use of computerized procedures; may require substantial amount of case analysis. QMB 6607-Decision Processes Under Uncertainty (4) Prereq: STA 4322. Introduction to statistical decision theory, including the vonNeuman-Morgenstern behavioral axioms, forms, tech- niques for assessing probabilities, and penalty functions, with managerial and economic applications. QMB 6697-Optimization in Simulation Modeling (3) Prereq: COP3210. Use of simulation techniques in managerial decision problems, including random number generation and search procedures for determining optimal policies. QMB 6702-Managerial Quantitative Analysis (4) Prereq: QMB 5600. Survey of deterministic models for managerial decision making; emphasis on mathematical programming. QMB 6808-Markov Decision Processes (4) Prereq: STA 4321. Application of Markov processes for managerial decisions, in- cluding probability estimation problems and transition reward structures. QMB 6809-Decision Processes Under Conflict (3) Prereq: GEB 6757. Managerial and economic applications of game theory models, including conflict resolution, bargaining, risk sharing, and group decision processes in a managerial context. QMB 6827-Linear Programming for Management Scientists (4) Prereq: GEB 6757. Solving a linear programming model and evaluation of the solution; linear programming computer soft- ware and its use. QMB 6857-Optimization in Static Managerial Models (4) Pre- req: GEB 6757. Introduction to the theory and application of unconstrained and constrained optimization in static managerial decision models. QMB 6865-Optimization in Dynamic Managerial Decision Models (4) Prereq: QMB 6857. Introduction to the theory of dynamic optimization in discrete-time and continuous-time models, with managerial and economic applications. QMB 6877-Integer Programming and Network Flows (3) Pre- req: GEB 6757. Introduction to the theory of discrete optimiza- tion, graphs, and networks. Tools of exact solution methods and of successful heuristic discussed, with managerial and economic applications. QMB 6905-Individual Work in Decision and Information Sci- ences (1-5; max: 10) Prereq: consent of department. Reading and/or research. QMB 6910-Supervised Research (1-5; max: 5) S/U. QMB 6940-Supervised Teaching (1-5; max: 5) S/U. QMB 7931-Special Topics in Decision and Information Sci- ences (3; max: 9) Prereq: consent of department. Recent literature and state-of-the-art theory and methods in both the decision and the information sciences. QMB 7933-Seminar in Decision and Information Sciences (3; max: 9)Prereq: consentof instructor. Historical foundations and evolutionary development of concepts in decision and informa- tion sciences, emerging problems and future trends. QMB 7979-Advanced Research (1-9) Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not open to students who have been admitted to candidacy. S/U. QMB 7980-Research for Doctoral Dissertation (1-15) S/U. ECONOMICS College of Business Administration GRADUATE FACULTY 1989-90 Chairman: R. D. Blair. Graduate Coordinator: R. E. Romano. Graduate Research Professors: G. S. Maddala;