Courses
- STRAMGMT 207 Strategic Leadership
This course examines fundamental issues of general management and leadership within an organization. You will learn about setting an organization's strategic direction, aligning structure to implement strategy, and leading individuals within the firm. You will master concepts, frameworks, and tools to assess an industry and a firm's competitive environment, and to craft alternatives. You will study the interplay among formal structure, informal networks, and culture in shaping organizational performance. By integrating leadership theory, the lessons of practical application, and your own experience, you will develop skills and capabilities essential to leading others. And you'll gain a better understanding of your own leadership preferences, strengths, and weaknesses.
- M240 Marketing Management
The objectives of this course are to introduce students to the substantive and procedural aspects of marketing management and to sharpen skills for critical analytical thinking and effective communication. Specifically, the goals are to:
- introduce students to marketing strategy and to the elements of marketing analysis: customer analysis, competitor analysis, and company analysis
- familiarize students with the elements of the marketing mix (product strategy, pricing, advertising and promotion, and distribution)
- enhance problem solving and decision-making abilities in these operational areas of marketing
- provide students with a forum (both written and verbal) for presenting and defending their own recommendations, and for critically examining and discussing the recommendations of others.
- GSBGEN641 Advanced Empirical Methods
This course covers various advanced quantitative methods with applications in marketing and economics. Topics include simulation-based estimation, Markov Chain Monte Carlo estimation of hierarchical Bayesian models, dynamic decision processes, and other advanced topics relating to empirical models of demand and supply. The course stresses the conceptual understanding and application of each technique. Students will learn to apply these techniques using Matlab or an equivalent language.
