Full-Time / Part-Time MBA
Decision Making Under Uncertainty (DECS-433-0) This course counts toward the following majors: Decision Sciences.
Provides frameworks for reasoning about decisions in uncertain environments. Case studies and experiments are used to motivate the importance of probabilistic reasoning to avoid the systematic biases that cloud managers' decision making. Formal probabilistic tools are introduced and their relevance to modern business issues is conveyed via cases, exercises, and class experiments. Some of the applications include: inventory management with uncertain demand, principal-agent models, herd behavior, selection bias, rare events, real options and risk. The course is self-contained, and should be of value to all students, including those with prior exposure to formal probability models.
Managerial Decision Analysis (DECS-438-A)
This course presents the standard approach taken in all Kellogg courses in dealing with risk and uncertainty. The principal focus is on the language of probability, random variables, decision trees and commonly encountered probability distributions. A number of applications are explored, with most analysis performed using spreadsheets.
Statistical Decision Analysis (DECS-439-B)
The study of statistics at Kellogg has two complementary goals: The first is to master the two languages of statistics: How to measure how much an estimate can be trusted and how to measure the weight of evidence with respect to a claim that has been made. The objective is to become knowledgeable consumers of statistical reports, effective managers of those doing the statistical "dirty work" and confident critics of statistics done badly. The other goal is to become facile at performing regression analysis, a tool for understanding the types of relationships all managers must deal with. A spreadsheet-based statistical analysis package is provided to all students.
Game Theory and Strategic Decision (formerly Strategic Decision Making) (DECS-452-0)
This course counts toward the following majors: Decision Sciences, Managerial Analytics.
Decision makers face two types of uncertainty: uncertainty about the state of nature (how much oil is on a tract of land) and uncertainty about the strategic behavior of other decision makers (what pricing strategy a competitor will follow). This course focuses on strategic uncertainty and the uses decision makers can make of the concepts of game theory to guide their decisions. Topics include bargaining and arbitration, collusion and competition, joint cost allocation, market entry and product differentiation, and competitive bidding. Role-playing exercises and case analysis are used.
Executive MBA
Statistical Decision Analysis (DECSX-434-0) Statistical Decision Analysis explores the use of sample data for estimating,predicting, forecasting and making business decisions.
Game Theory (MECSX-460-0) Game Theory studies strategic interaction and conflict resolution in competitive and cooperative environments. Principles of strategic reasoning and related mathematical formulas are taught through real-life examples and in-class games, giving students an edge in external business competition and in internal organization management.