SEM 420 - Strategic Decision Making with Management Analytics

3 units (fi 6)(EITHER, 3-0-0)

This course examines how leaders can employ data analytics to inform strategic decision making in organizations. Students will develop skills in using data to frame strategic decisions, asking critical questions about relevant data, understanding and critiquing the methods by which data have been collected and organized, and using data in analytics to improve organizational outcomes. Through interactive lectures, case studies, and real-world projects, students will learn to use data to formulate strategies, facilitate change, and create competitive value. Prerequisite: SEM 201, 301, 210 or 310. Open to third-and fourth-year students.

SEM 706 - Seminar in Quantitative Research Methods

3 units (fi 6)(EITHER, 3-0-0)

Quantitative methods is an empirics-focused seminar that is intended to sharpen the student's ability to design and use quantitative and mixed methods in behavioral studies, as well as to broaden the student's knowledge of exemplary research in methods in this domain of research. The course complements standard regression or ANOVA course taken by students, and is particularly tailored for students of organization, strategy, and entrepreneurship. Prerequisite: Registration in Business PhD Program at the University of Alberta or written permission of instructor. Approval of the Associate Dean, PhD Program is also required for non-PhD students.

SEM 601 - Innovation and Sustainability: The Cleantech Revolution

3 units (fi 6)(EITHER, 3-0-0)

The clean technology and renewables course is a course designed to fit with three areas of graduate study: technology development and transfer, strategy, and sustainability. In this course, we will begin with an examination renewable energy industries (solar, water, wind, etc.) and clean technologies focused on waste and recycling. Clean and green strategies will be identified and discussed, using specific examples from our international clean technology research and database. At the end of the course, students will present either a project with a local clean technology company project or a case analysis of a key clean technology company of interest.