Introduction to fundamental tools of stochastic analysis. Probability, conditional probability; Bayes Theorem; random variables and transforms; independence; Bernnoulli trials. Statistics, inference from limited data; outcomes of repeated experiments; applications to design; assessment of relative frequency and probability; law of large numbers; precision of measurements. Elements of stochastic processes, Poisson processes; Markov chains. Students cannot receive credit for this course and STAT 131. (Formerly CMPE 107.)
16 terms
Other grades
University of California, Santa Cruz
CSE 107 at UCSC: average GPA 3.07 across 2,900 students. Grade distribution by term. Introduction to fundamental tools of stochastic analysis. Probability…
Average GPA: 3.07
Grade distribution records: 2,900 students across 16 terms.
Prerequisite(s): CSE 16; and AM 30 or MATH 22 or MATH 23A.
2026–2027 · UCSC catalog
| Grade | Students | Percent |
|---|---|---|
| A+ | 379 | 13.1% |
| A | 446 | 15.4% |
| A- | 342 | 11.8% |
| B+ | 291 | 10.0% |
| B | 377 | 13.0% |
| B- | 222 | 7.7% |
| C+ | 124 | 4.3% |
| C | 292 | 10.1% |
| C- | 33 | 1.1% |
| D+ | 27 | 0.9% |
| D | 41 | 1.4% |
| D- | 15 | 0.5% |
| F | 101 | 3.5% |
| P | 56 | 1.9% |
| NP | 76 | 2.6% |
| W | 77 | 2.7% |
Based on 2,900 student grade records across 16 terms and 5 professors.
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