This simulation case is meant to be used as a learning object for students to understand the various facets of the Resources, Events, Agents (REA) data model in designing accounting information systems. The case allows students to analyse the various entities in an REA data model, and identify associations between these entities and their cardinalities. There are two scenario examples provided in the simulation - 1) YY Frozen Yoghurt and 2) SMU Mart. The first simulation helps students understand the concepts of the REA data model, and the second simulation assesses students' understanding of the REA concepts and framework.

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

This is a game simulation case on yield management for the hotel industry. Students play the role of the reservation manager and are allowed to make hotel bookings for consumers who want to book hotel rooms at the Inn or Out hotel. Students are encouraged to accept the bookings based on the principles of yield management. At the end of the game, students can see the amount of revenue that they have generated for the hotel based on the bookings that they have accepted and rejected. The game allows students to apply different strategies for high season and low season bookings. Penalties are applied to the revenue scores based on whether the rooms were overbooked or under booked. The case accompanying the game allows students to understand the concepts of yield management that they need to apply to play the game well and achieve higher scores. A separate set of settings in the game allows the instructor to adjust the various parameters of the game, and present consumers with different profiles, so as to assess the student's understanding of yield management strategies. The Teaching Note serves as a guide for the instructor to execute the game in the classroom for students, and to cover the basic concepts in yield management through the game.