Machine learning concepts: An educational game simulation
Publication Type
Case
Publication Date
5-2022
Abstract
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.
Keyword(s)
Machine Learning, Artificial Intelligence, game simulation, machine learning modes, machine learning concepts
Discipline
Artificial Intelligence and Robotics | Instructional Media Design
Research Areas
Data Science and Engineering
Data Source
Published Sources
Industry
Information Technology and telecom sector
Geographic Coverage
Singapore
Temporal Coverage
2022
Education Level
Executive Education; Postgraduate; Undergraduate
Publisher
Singapore Management University
Case ID
SMU-22-0010
Additional URL
https://cmp.smu.edu.sg/case/5436
Comments
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