This course will focus on modern predictive analytic techniques. Each module is designed to introduce a set of statistical techniques and their application to real data from various business fields. The course will focus on 4 broad topics 1) Finding the most appropriate model for the data, 2) selecting optimal set of predictors, 3) reducing dimensionality of the data, 4)improving prediction performance. Programming using R, open source software, is fundamental to the course. Prereq: ADMN 950 or permission.

This course deals with central concepts and applications at the intersection of technological innovation, organizational growth, and corporate entrepreneurship or intrapreneurship. Building an organization to achieve high growth and successfully and repeatedly bring innovations to market is a daunting managerial challenge. The first part of the course examines why it is so challenging to maintain sustained growth in disruptive environments. In the second part, the course takes a look at technological innovation as a lever that can help firms achieve sustained growth, by providing a number of applied tools, frameworks, and practices mangers can use to manage growth and innovation in their organizational contexts.

One of the learning objectives in the MBA Program is that all students will graduate with an understanding of these core knowledge assembled from various disciplines that contribute courses to the program. We assess the learning as part of our Assurance of Learning Program. This zero credit course provides an administrative mechanism for accomplishing this goal.

Uses the evidence from behavioral science to develop an understanding of individual and work group dynamics in relation to personal and group effectiveness in diverse organizations. Case studies, group projects and personal application will provide students with the opportunity to put theory into practice as they learn to understand individual differences, lead teams, enhance their personal influence, and plan to lead employees, teams and organizations during times of rapid change.