BUDT 725 Models and Applications in Operations Research
Credit will be granted for only one of the following: BMGT 735 or BUDT
725. Formerly BMGT 735.
Introduction to commonly encountered models and
applications in Operations Research. Formulation and interpretation of
solutions of linear optimization and network models, special structures and
applications. First course in the OR MS and PhD concentration as well as an
introduction to non OR-majors of these important and practical topics. |
BUDT 732 Decision Modeling with Spreadsheets
Prerequisites: BUSI 620 and BUSI 671. Credit will be granted for only one
of the following: BMGT 732 or BUDT 732. Formerly BMGT 732.
The applicability
and use of decision and management science models have increased
dramatically in recent years due to the extraordinary improvements in
computer, information and communication technologies. These developments in
hardware and user interfaces such as spreadsheets have been complemented by
the availability of large volumes of data, such as the automatic capture of
point-of-sale information, and easy access to large databases. Personal
computers and friendly interfaces have become effective "delivery vehicles"
for powerful decision models that were once the exclusive province of
experts. In this course, we will examine ways in which complex managerial
problems can be tackled with decision models using spreadsheets. Includes
linear and nonlinear optimization models, decision making under uncertainty
and simulation models. |
BUDT 733 Data Mining for Business
Prerequisite: BUSI 630. Credit will be granted for only one of the
following: BMGT 733 or BUDT 733. Formerly BMGT 733.
A second level course
managerial decision-making using contemporary methods of data analysis.
Specific techniques covered in this course include [1] time series
forecasting (e.g., for forecasting sales; financial series), [2]
classification methods (e.g., for credit rating; in consumer behavior), [3]
clustering methods (e.g., for market segmenting; for industry analysis), and
[4] methods for visualization of multidimensional data sets (such as
financial or customer databases). Theoretical issues will be either avoided
or minimized. The emphasis is on understanding the applications of these
techniques to specific decision-making situations encountered in consulting,
marketing, finance, management and strategy. Upon successful completion of
the course, a student should possess practical analytical skills that will
provide him or her with a competitive edge in almost any contemporary
managerial workplace. |
BUDT 736 Data Mining
Prerequisite: BUSI 630.
Recommended: BUDT 704. Contemporary methods and
processes for extracting information from large databases in support of
tactical and strategic business decisions. Applications in areas such as
customer relationship management, direct marketing, e-commerce, financial
services and retailing. |
BUDT 758x Games of Strategy
Pre-requisites: BUSI 681, BUSI 690.
Course draws on insights from the
field of game theory to explore decision making in a competitive (or
interactive) environment. Topics and applications include: sequential and
simultaneous games; pricing and promotions in oligopolies; preemptive
capacity decisions; entry/exit decisions; signaling; contracts and alignment
of incentives in compensation design, corporate governance and in supply
chains; the role of credibility. |
BUDT 758x Pricing and Revenue Management
Revenue (or yield) management (RM) first emerged in the post-deregulation
US airline industry, and hit the jackpot in the mid 90's with American
Airlines RM scoring $1 billion annual incremental revenues (almost 100%
profit). The business strategy reformed the entire transportation and
tourism industry, as well as telecommunications, broadcasting, ticketing,
healthcare, fashion, manufacturing etc. Recently RM evolved to a new
dimension with internet companies practicing dynamic and targeted pricing or
auctions for products, services or advertisement slots. The WSJ identifies
RM as "The number one emerging business strategy, a practice poised to
explode"; the internet stands as a stimulating environment behind this
explosion. Any business that has a fixed capacity and a perishable product
or service is a candidate for revenue management, as long as customers vary
in their willingness to pay. A specialized course on dynamic pricing and
revenue management is meant to provide you with the right bundle of tools
and principles, drawn from several disciplines (Operations, Microeconomics,
Decision Modeling, Statistics, Marketing, IS) in order to maximize profits.
The RM solution integrates pricing with sales and inventory management
strategies. The first part of the course addresses pricing issues (pricing
under various constraints, non-linear pricing, markdown pricing), from a
combined economics and marketing perspective. The second part of the course
provides tools and methods for combined pricing and capacity management
decisions from an operational perspective. |
