611 Introduction to Business Statistics (3) - This course is also
being taught as
BA612 (Analytical Foundations - First Year MBA Core)
Accelerated study of
business statistics; probability, estimation, hypothesis testing, simple
and multiple regression analysis; nonparametrics. Prereq: calculus.
Graduate students only.
612 Analytical Techniques in Management (3) Linear programming;
problem formulation and interpretation. Business applications of
forecasting methods (regression and time series). Computer management of
data structures; integrated approach for decision-making. Prereq:
calculus.
613 Production Management (3) Use of model-based systems for
managers to plan, control, and improve efficiency of production systems.
Topics include facility-capacity planning, inventory systems, and
scheduling.
620 Applied Sampling Techniques (3) Application of probability
sampling techniques to business problems. Simple random, stratified,
cluster, systematic, multistage, and double sampling; nonresponse
problems; ratio and regression estimators. Prereq: DSC 611 or
equivalent.
625 Quality Management (3) Case-discussion format includes
statistical process control, organizational and management processes for
directing organizational cultures and processes to achieve superior
product and service quality. Company-quality audit expected. Prereq: DSC
611 or equivalent.
626 Decision Analysis for Negotiation Problems (3) Decision
analysis basics. Use of decision trees, probabilities, methods for making
decisions under uncertainty. Analysis of negotiation problems.
Distributive and integrative bargaining. Ethical issues. Prereq: MATH 242,
DSC 611 or equivalent.
630 Applied Analysis of Variance (3) Design of experiments in
business administration: models and methods for analysis of variation in
measurement data including single and multifactor treatments in completely
randomized and blocked designs. Prereq: DSC 611 or equivalent.
633 Applied Nonparametric Statistics (3) Statistical analysis when
data do not conform to parametric assumptions. Tests using nominal or
ordinal data; one, two, or more samples; goodness-of-fit tests. Prereq:
DSC 611 or equivalent.
635 Applied Regression Analysis (3) Theory and application of
least-squares regression including model selection and diagnostics.
Emphasis on managerial applications and decision-making. Prereq: DSC 611
or equivalent.
640 Applied Time Series Analysis for Forecasting (3) Elements of
spectral analysis. Autoregressive, moving average, and seasonal models.
Principles of iterative model building: identification, fitting, and
diagnostic checking of models. Prereq: MATH 242, DSC 611.
643 Applied Multivariate Analysis (3) Statistical reasoning that
underlies the techniques of multivariate analysis. Multivariate analysis
of variance, discriminant analysis, principal components, factor analysis,
and canonical correlation. Prereq: MATH 242, DSC 635.