Subject: BUAI
Term: Spring 2025
BUAI 407A: Managerial Marketing I (100/2847)
M 09:00-11:45 AM Jan 13-Mar 03
Brock, J
This course is part one of the Core Marketing Management class, as taught in typical MBA programs, including our own. Marketing management is defined as the 'art and science of choosing target markets and getting, keeping, and growing customers through creating, delivering, and communicating superior customer value' (Kotler and Keller 2012, p. 3). This course addresses the management challenges of developing products and services that profitably deliver value including selecting target markets and designing the best combination of marketing variables to carry out a firm's strategy.
BUAI 407B: Managerial Marketing II (100/2848)
M 09:00-11:45 AM Mar 17-Apr 28
Brock, J
This course is part one of the Core Marketing Management class, as taught in typical MBA programs, including our own. Marketing management is defined as the 'art and science of choosing target markets and getting, keeping, and growing customers through creating, delivering, and communicating superior customer value' (Kotler and Keller 2012, p. 3). This course addresses the management challenges of developing products and services that profitably deliver value including selecting target markets and designing the best combination of marketing variables to carry out a firm's strategy.
BUAI 432: Operations Analytics: Stochastic (100/2814)
T 08:30-11:15 AM Jan 13-Apr 28
Kazemian, P
This course covers modeling and analysis of discrete-event dynamical systems using computer simulations. Topics include an introduction to simulation as a modeling tool, with emphasis on understanding the structure of a simulation model and how to build such models, model validation, random number generation, simulation languages, statistical simulation output analysis, design of simulation experiments and selected current research topics.
BUAI 445: Advanced Marketing Analytics (100/2815)
W 03:00-05:45 PM Jan 13-Apr 28
Niraj, R
In order to improve decision making in various decision areas of marketing like segmentation, positioning, advertising, promotions, new product development and pricing, use of quantitative data and analysis has become very popular. It is increasingly common for marketing managers to be challenged by top managers, to show the value of marketing expenditures to an organization's financial well-being. This course will introduce a variety of data based decision-aids in the marketing area that will often focus on those metrics. In addition, the course will also introduce SAS to you. SAS is a very popular tool that analysts in business and economics field have been using for decades now, and has the potential to open some doors for you when it comes to internships and jobs. In order to improve decision making in various decision areas of marketing like segmentation, positioning, advertising, promotions, new product development and pricing, use of quantitative data and analysis has become very popular. It is increasingly common for marketing managers to be challenged by top managers, to show the value of marketing expenditures to an organization's financial well-being. This course will introduce a variety of data based decision-aids in the marketing area that will often focus on those metrics. In addition, the course will also introduce SAS to you. SAS is a very popular tool that analysts in business and economics field have been using for decades now, and has the potential to open some doors for you when it comes to internships and jobs. The course will also use Python in parallel to re-emphasize what you have already learnt in previous classes.
BUAI 460: Experiential Learning in Business Analytics (100/10237)
M 03:00-05:45 PM Jan 13-Apr 28
Niraj, R
This course provides an opportunity for students to apply business analytics techniques to realworld data sets, usually sourced from public platforms like Kaggle, but real industry projects are also permissible. About three datasets will be identified by the instructor before the class starts and potentially two teams will go after each dataset/problem of practice. The focus is on solving
complex business problems in marketing, operations and other business areas through substantial group projects. Students will work in teams of 3-4 to develop, implement, and present data-driven solutions. The course will emphasize collaboration, practical application of analytical tools, and the communication of results to a non-technical audience.
BUAI 485B: Team Development (100/2816)
R 03:00-05:45 PM Jan 13-Mar 03
Messer, T
This course is unique in the sense that its primary focus is on the student working in teams. In this course the student will assess their team interaction based on team assignments simulated and action learning type projects, presenting to the class as a team, engaging in various experiential activities, participating one team coaching session, working with a team, and expanding their knowledge of team leadership and membership skills and abilities. They are also expected to engage with projects external to the university (similar to an action learning project).