Probability and Causality in Human Cognition OpenCourseWare: A Free Bachelor Level Human Cognition Course by MIT
'Probability and Causality in Human Cognition' introduces probability theory as a model for explaining aspects of the human thought process. This upper-level undergraduate OpenCourseWare is offered free from the Massachusetts Institute of Technology's brain and cognitive science department.
Probability and Causality in Human Cognition: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| No | Yes | No |
Probability and Causality in Human Cognition: Course Description
'Probability and Causality in Human Cognition' starts with an investigation of the history of probability theory and types of probability theory, including Bayesian theory. Lectures then move to applying theory to aspects of human cognition, such as reasoning and behavioral economics. Readings cover causal models and how Bayes nets can illuminate human perception of causality. Further readings explore how advances in computational modeling and theory are increasing understanding of human thought processes. Taught by Massachusetts Institute of Technology professor Joshua Tenenbaum, the OpenCourseWare is primarily reading, with some written assignments to encourage study. Prior study in cognitive science and statistics is recommended. Application of the concepts to the field of artificial intelligence makes this course particularly suited to students interested in AI development
The OpenCourseWare includes, assignment guidelines, reading lists and links to related resources. To download this course, visit the probability and cognition course page.
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