85-426: Learning in Humans and Machines
| Units | 9 |
|---|---|
| Department | Psychology |
| Prerequisites | 15-111 |
| Cross Listed | 85-726 |
| Related URLs | http://www.psy.cmu.edu/ |
| Notes | You should have taken 15-111 or higher programming class, if not, please , email the professor, Charles Kemp at for instructors permission. , , , , , |
This course provides an introduction to probabilistic models of cognition. The focus is on principles that can help to explain human learning and to develop intelligent machines. Topics discussed will include categorization, causal learning, language acquisition, and inductive reasoning. Basic programming skills will be required for the problem sets.
Sections
| Section | Time | Day | Instructor(s) | Location | |
|---|---|---|---|---|---|
| A | 03:00 pm – 04:20 pm | TR | Kemp | PH A20 |  |
No sections available for Fall 2008
Textbooks
We don’t have textbooks yet. Check back closer to the beginning of Spring 2009.