STAT 246: Probability Theory
University of California, Santa Cruz
Introduction to probability theory: probability spaces, expectation as Lebesgue integral, characteristic functions, modes of convergence, conditional probability and expectation, discrete-state Markov chains, stationary distributions, limit theorems, ergodic theorem, continuous-state Markov chains, applications to Markov chain Monte Carlo methods. (Formerly AMS 261.)
Average GPA: 3.83
Grade distribution records: 12 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 2 | 16.7% |
| A | 1 | 8.3% |
| B+ | 1 | 8.3% |
| S | 8 | 66.7% |
Based on 12 student grade records across 1 term and 1 professor.
Instructors
- Robert Lund 12 students, Average GPA 3.83