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Rose Sebastianelli, Ph.D.
Course Information
- STAT 251 — Statistics for Business I — 3 credits
- (Prerequisite MATH 107, MATH 114 or OIM 210)
Detailed coverage of descriptive statistics. An introduction to the elements of
probability theory (including Bayes’ theorem) and decision theory, and
index numbers. The major discrete and continuous probability distributions are
covered with an emphasis on business applications. Data analysis will be done
using appropriate software.
- STAT 252 — Statistics for Business II — 3 credits
- (Prerequisite: STAT 251; corequisite: C/IL 104)
A survey of inferential statistical methods covering
sampling distributions, interval estimation,
hypothesis testing, goodness-of-fit tests, analysis
of variance, regression and correlation analysis,
and non-parametric statistics. Data analysis will
be done using appropriate software.
- OIM 363 — Quality Management — 3 credits
- (Prerequisite: STAT 252) The philosophy of Total
Quality Management (TQM) and issues concerning its implementation are studied,
covering the approaches of well-known leaders in the field, e.g., Deming.
Topics include employee empowerment, quality-improvement tools,
cross-functional teams, leadership for quality, statistical process control,
process capability, Taguchi methods, ISO 9000 standards, and the role of
inspection in TQM.
- OM 544 — Business Forecasting Models — 3 credits
- (Formerly OIM 544; prerequisite OM 503 or consent of
instructor) This course deals with the study of quantitative forecasting
techniques which include exponential smoothing, classical decomposition,
regression analysis and Box-Jenkins (ARIMA) methodology, as well as qualitative
(judgmental) methods. The emphasis is on their practical application in various
business forecasting situations. Issues important in the selection of
appropriate forecasting methodology such as data requirements, forecast
accuracy, time horizon and cost are discussed.
- OM 545 — Total Quality Management — 3 credits
- (Formerly OIM 545; prerequisite OM 503 or consent of
instructor) Total Quality Management (TQM) provides the means for the
organization to define its culture and to support the constant attainment of
customer satisfaction through an integrated system of tools, techniques, and
training. Topic coverage focuses on applying various continuous improvement
techniques such as statistical process charts and assessment frameworks (e.g.,
Deming’s philosophy, Baldrige Criteria, ISO 9000) in order to achieve world
class quality.
- MBA 501 A — Decision-Making Concepts and Tools (Web-Based) — 1 credit
- An introduction to statistical thinking and data analysis techniques useful in business decision making. Topics covered include descriptive statistics, basic probability concepts, sampling, estimation, hypothesis testing, regression and correlation. Emphasis on computer solution and interpretation.
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