PHILOS C133B

Probability and Inductive Logic

Description: Lecture, three hours; discussion, one hour (when scheduled). Requisite: course 31, or background in logic, computer science, statistics, or mathematics. Topics may include interpretations of probability, Bayesian and non-Bayesian confirmation theory, paradoxes of confirmation, coherence, and conditioning. May be concurrently scheduled with course C225. P/NP or letter grading.

Units: 4.0
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Michael Rescorla

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Fall 2023 - If you do not come into this class with a mastered understanding of probability and inductive logic, then you are the architect of your own demise. The professor will not spend time on you catching you up.
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