Machine Learning Concepts: An Educational Game Simulation

This is a game simulation case on Machine Learning (ML) and can be used in the classroom to introduce to students the foundational concepts of ML. The case begins with a brief background on ML, its origins, the objectives of its usage across various industries, and ends with a future outlook on the relevance of ML. At the end of the case, a link to the game simulation is provided, which can be played by students in the classroom. The main topics covered in the game simulation include:

• An introduction to ML

• Different categories of ML algorithms including unsupervised, supervised and re-enforcement learning (based on the differences in the way they process the data for decision-making).

• Identifying applications and use cases of ML

The case is suitable for undergradute, graduate and executive education classes, and can be used as a learning tool for students with technology as well as non-technology backrground, as a primer to cover basic concepts on Machine Learning.

Inspection copies and teaching notes are available for university faculty. To receive an inspection copy and teaching note, please email cmpshop [at] smu.edu.sg with your registered faculty email ID and a link to your contact information on the faculty directory at your university as verification. An inspection copy and teaching note will then be sent to your faculty email account.

Download Information

SMU Faculty/Staff can download the case & teaching note on iNet with your SMU login ID & Password via the following links:

· The Case (SMU-22-0010)

· Teaching Note (SMU-22-0010)

For purchase of the case and supplementary materials via The Case Centre, please access the following links:

· The Case (SMU-22-0010)

· Teaching Note (SMU-22-0009)

For purchase of the case and supplementary materials via Harvard Business Publishing, please access the following links:

· The Case (SMU-22-0010)

· Teaching Note (SMU-22-0010)