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DECISION SCIENCES
(DSC-Business Administration; Department of Decision Sciences and Management Information Systems)
- MPT 205 Business Statistics (4)
- Basic probability. Discrete and continuous distributions. Sampling theory, confidence intervals, and hypothesis testing. Analysis of process data. Simple and multiple regression analysis. Emphasis on computer implementation. Prerequisite: MTH 151 and a high school course in computers or equivalent. Credit not given for both DSC 205 and any other introductory statistics course (for example, STA 261, STA 368, or PSY 293, 294).
- MPT 305 Applied Regression Analysis in Business (3)
- Multiple regression as related to analysis of business problems. Includes useful regression models, statistical inference (intervals and hypothesis tests) in regression, model building, regression assuMPTions, remedies for violations of assuMPTions, applications in experimental design, and time series analysis. Prerequisite: DSC 205 or equivalent.
- MPT 321 Quantitative Analysis of Business Problems (3)
- Examination of business problems from a quantitative model building point of view. Selected models from management science, including linear and nonlinear programming and simulation. Methodologies combined with those from prerequisite courses. Prerequisite: DSC 205.
- 330 Professional Practice (0)
- Students participating in an internship program register for this course during the semester they are on work assignment. Prerequisite: permission of departmental internship coordinator.
- 331 Quantitative Methods of Decision Making (3)
- Models for managerial decision making under conditions of risk or uncertainty with single or multiple goals. Prerequisite: ACC 222, DSC 205, ECO 201 or 202. Offered infrequently.
- MPT 333 Nonparametric Statistics (3)
- Applied statistical techniques useful in estimating parameters of a business population whose underlying distribution is unknown. Chi-square, sign, rank, and runs tests included. Cross-listed with STA 333. Prerequisite: DSC 205 or equivalent.
- MPT 365 Statistical Quality Control (3)
- Statistical procedures used in quality control. Control charts for measurement and attribute data. Process capability studies. Acceptance sampling and other industrial applications. Cross-listed with STA 365. Prerequisite: DSC 205 or STA 368.
- 421/521 Computer Modeling in Business (3)
- A course in computer modeling of business and economic processes. Deterministic and stochastic models of the firm and its components, statistical aspects of business models, Monte Carlo studies, computer languages. Prerequisite: (421)DSC 321; (521)DSC 616 or 618 or permission of instructor.
- MPT 432/532 Survey Sampling in Business (3)
- Survey sampling with application to problems of business research. Simple random sampling, systematic sampling, stratified random sampling, ratio estimation, and cluster sampling. Cross-listed with STA 432/532. Prerequisite: DSC 205 or equivalent.
- MPT 442/542 Design of Experiments in Business (3)
- Completely randomized design, randomized block design, factorial arrangement of treatments, analysis of covariance. Regression approach included. Prerequisite: DSC 305 or equivalent.
- MPT 444/544 Business Forecasting (3)
- Applied techniques useful in analyzing and forecasting business time series. Emphasis on Box/Jenkins methodology. Time series regression with autocorrelated errors, exponential smoothing, and classical decomposition are also discussed. Prerequisite: DSC 305 or equivalent.
- 447/547 Analysis of Multivariate Business Data (3)
- Introduction to multivariate data analysis as applied to business problems in which many variables play an important role. Exploratory data analysis, discriminant analysis, classification analysis, factor analysis, multi-dimensional scaling, cluster analysis, and other related techniques. Prerequisite: DSC 305 or equivalent. Offered infrequently.
- MPC 461/561 Integration of Business Fundamentals Through Small Business Counseling (3)
- Students apply problem-solving methodology by consulting selected local small businesses that have requested management assistance. Each selected company demonstrates a wide range of problems crossing the fields of finance, marketing, accounting, production, human resources, information systems, computer systems, strategic and tactical planning, growth and downsizing, procurement, control of inventory, quality control, and forecasting. Students learn to integrate and apply their business knowledge in "real world" settings and test their analytical skills by confronting and solving complex business problems. Prerequisite: students must have completed junior level courses required for their major and should be taking two or more senior level courses concurrently with the course.
- MPC 467/567 Entrepreneurship: New Ventures (3)
- Case approach to problems involved in the search for, evaluation of, and initial operation of high potential business ventures. Prerequisite: senior or graduate standing in business or permission of instructor. Cross-listed with FIN/MGT/MKT 467/567.
- 480/580 Topics in Decision Sciences (1-3)
- Issues oriented seminar focused upon significant emerging topics in the decision sciences field. Prerequisite: determined by professor.
- MPC 494 Sustainability Perspectives in Resources and Business (3)
- Addresses the need for interdisciplinary understanding of the pattern of declining quantities of critical resources and growing public awareness of environmental degradation, an understanding of relevant ecosystems, social and economic institutions and policy, and the prospects for the business community to facilitate resolution of these concerns. Cross-listed with ACC/BOT/ECO/FIN/GEO/GLG/MGT/MKT/ZOO 494. Three alternative prerequisites: (A) senior standing as a business major and one of these--BOT 131 or GLG 121 or ZOO 121; or (B) senior standing as a science major and both of these--ECO 201 and 202; or (C) senior standing and completion of Thematic Sequence ECO 5 Sustainable Systems.
- 601 Quantitative Business Analysis (2-3)
- Basic mathematics for analysis of business problems. Especially for M.B.A. candidates who have not included calculus in their undergraduate curricula. Credit not applicable to minimum hours required for M.B.A. Prerequisite: graduate standing. Summer only.
- 602 Graduate Survey in Statistics (2-3)
- Survey of basic statistics for analysis of business problems. Especially for M.B.A. candidates who have not included business statistics in their undergraduate curricula. Credit not applicable to minimum hours required for M.B.A. Prerequisite: graduate standing. Summer only.
- 615 Statistical Methods for Managerial Decision Making (3)
- Discussion of statistical reasoning for managers and statistical methodology most useful for solving business problems. Process control and capability. Simple and multiple regression analysis. Residual analysis and model building. Time series forecasting. Experimental design. For full-time M.B.A. students only.
- 616 Quantitative Models for Business Decision Making (3)
- Presents process of modeling and using quantitative models as an aid for solving business problems. Provides the foundation for employment of modeling and models in all functional areas of business. The pedagogy encourages integration of quantitative methods with content of functional areas of business. For full-time M.B.A. students only.
- 618 Business Operations Research (3)
- Study and critical evaluation of operations research techniques from a business administrative viewpoint. Prerequisite: DSC 601, 602, or equivalent.
- 619 Statistical Modeling for Business Decision Making (3)
- Applied presentation of statistical techniques employed in business decision making. Analysis and problem solving using computer based statistical programs. Prerequisite: DSC 601, 602, or equivalent.
- 671 Statistical Process Analysis and Improvement for Managers (3)
- Statistical methods for analyzing and improving business processes. Advanced control chart methods for eliminating assignable cause variation. Cusum and EWMA charts. Control procedures for autocorrelated process data. Experimental design methods for reducing common cause variation. One-way and two-way ANOVA. Fractional factorial designs. Prerequisite: DSC 615.
- 681 Special Studies in Decision Sciences (1-3)
- Intensive reading or research in a selected field of advanced decision sciences. Prerequisite: graduate standing and permission of instructor.
- 700 Thesis (3-6; minimum 3, maximum 6)
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