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Direct linkJohnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
Boncek, John; Harden, Sig – Australian Senior Mathematics Journal, 2009
As teachers of first-year college mathematics and science students, the authors are constantly on the lookout for simple classroom exercises that improve their students' analytical and computational skills. In this article, the authors outline a project entitled "Predicting Precipitation in Darwin." In this project, students: (1) analyze…
Descriptors: College Mathematics, Markov Processes, Prediction, Foreign Countries
Peer reviewedJohnson, Roger W. – Teaching Mathematics and Its Applications, 1996
Presents the dice game "Drop Dead" as an example of an absorbing Markov chain. Determines the expected length and expected score of a turn of the game. (ASK)
Descriptors: Estimation (Mathematics), Markov Processes, Mathematical Concepts, Mathematics Instruction
