Mathematics 154
Probability Theory (113811)
Oliver Knill2025 Spring (4 Credits)
Schedule: TR 0130 PM - 0245 PM
Instructor Permissions: None
Enrollment Cap: n/a
An introduction to probability theory. Discrete and continuous random variables; distribution and density functions for one and two random variables; conditional probability. Generating functions, weak and strong laws of large numbers, and the central limit theorem. Geometrical probability, random walks, and Markov processes.
- Recommended Prep:
- A previous mathematics course at the level of Mathematics 19ab, 21ab, or a higher number. For students from 19ab or 21ab, previous or concurrent enrollment in Math 101 or 102 or 112 may be helpful. Freshmen who did well in Math 22a, 23a, 25a or 55a fall term are also welcome to take the course.
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