Teaching

A career in business involves making numerous decisions such as whether to launch a new product, acquire a piece of property, enter new markets, expand production capacity, etc. Most of these decisions are made in an environment characterized by uncertainty and decision alternatives with complex tradeoffs. Often, information is available or can be obtained at a cost that can be used effectively to make better decisions. The main objective of this course is to teach you a set of foundational tools and illustrate their applications. These tools will be useful in general decision-making situations as well as other courses where you make financial, marketing and operational decisions.

Fall 2018 class materials can be accessed at: Click Here. This class will involve coding in the popular statistical “R”. Accompanying R-Labs for the statistical methods taught in class will provided. This year I plan to incorporate some Bayesian large scale modeling approaches.

Class notes and lecture slides can be accessed at blackboard – USC’s e-learning platform. Please look at the class syllabus and blackboard announcements for all other information. If you feel the need to email me regarding the class, please use the email address mentioned in the syllabus in blackboard. Please note that the email address for this class is different from my USC or Marshall email. This is a compulsory core class for all USC Marshall undergraduates. Class participation and attendance is mandatory.

Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.