Bus 90 Business Statistics
In terms of theory and
application: collection and presentation of data;
measures of central values and spread; probability as a measure of
uncertainty;
sampling and sampling distribution of the sample average estimation
via
confidence intervals; hypothesis testing; regression and
correlation.
Prerequisite: Math 70
3 units (lower division pool requirement)
Bus 190 Quantitative Business Analysis
Quantitative models and
optimization systems used in problem-solving.
Studies of decision criteria, statistical decision making, linear
programming,
inventory control, Q-Theory, PERT, simulation and other techniques
used in
management science.
Prerequisite: Math 70; Bus 90 or Bus 91 (or equivalent);
3 units (upper division, required for business majors)
Bus 191 Decision Making Under Uncertainty
Decision analysis models and
methods for optimizing decision policies:
Bayes' Theorem, EVPI/EVSI measures of the value of information,
decision trees,
influence diagrams,utility functions and certainty equivalence
functions;
use of computer tools for monetary valuation of simulation-generated
probability distributions.
Prerequisite: Bus 90
3 units (upper division elective, approved elective for management
concentration)
Bus 201 Data Collection and Analysis
Provides the knowledge and ability to
gather and to analyze data for
applied uses, including sampling and collection of data,
presentation of data,
statistical inference and hypothesis testing, correlation and
regression, and
forecasting. An applied project is required; Excel is the
basic analystical tool.
3 units (MBA foundation course)
Bus 215 Management Science Models
Quantitative models and optimization
systems used in problem-solving.
Studies of forecasting, statistical decision making, linear
programming,
network models, PERT/CPM, simulation, and other techniques used in
management science applications.
3 units (MBA elective)
Bus 260 Managerial Decision Analysis
This course is designed to acquaint
participants with the current concepts
of decision analysis including decision trees, simulation, game
theory, forecasting,
the expected value of information, bayesian analysis, and optimal
sampling.
The goal of the course is to develop quantitative skills that can be
applied
to business functions such as marketing, finance, and accounting,
thereby providing
an analytical integration for the M.B.A. program.
3 units (MBA elective)