18.200 Principles of Discrete Applied Mathematics
18.200 Principles of Discrete Applied Mathematics (Spring 2024, MIT OCW). Instructors: Prof. Ankur Moitra, Prof. Peter Shor, and Susan Ruff. This course will teach you illustrative topics in discrete applied mathematics, including counting, generating functions, probability, linear optimization, algebraic structures, basic number theory, information theory, and coding theory. It is a CI-M (Communication Intensive in the Major) course and thus includes a writing component. (from ocw.mit.edu)
| Lecture 02 - Independence and Conditioning |
We explain what it means for two events to be independent, and what it means to condition one event on another. We cover the law of Total Probability and Bayes' rule. We then define random variables and expectations, and explain linearity of expectation.
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