UCLA Teaching (Winter 2019)
MATH 170B-1: Probability Theory
Course Website: https://ccle.ucla.edu/course/view/19W-MATH170B-1
Syllabus: syllabus_170B-1.pdf
Lectures: MWF 8:00am–8:50am, MS 6229
Teaching Assistant: Alexander Kastner
Discussion Sessions: T 8:00am–8:50am, MS 6229
Course prerequisites: Math 170A.
Course textbook: Introduction to Probability, Second Edition, by Dimitri P. Bertsekas and John N. Tsitsiklis (it is freely available online).
Course description: This course covers some more advanced topics in the fundamentals of probability theory. In particular, during our lectures we will have a closer look at transforms, conditioning, sums of random variables, and limit theorems. The second half of the course provides a fairly detailed introduction to Bernoulli, Poisson, and Markov random processes. The exact selection of topics is to be determined based on your initial knowledge of probability and the speed your progress through the new material.
MATH 170B-2: Probability Theory
Course Website: https://ccle.ucla.edu/course/view/19W-MATH170B-2
Syllabus: syllabus_170B-2.pdf
Lectures: MWF 9:00am–9:50am, MS 6229
Teaching Assistant: Daniel Raban
Discussion Sessions: R 9:00am–9:50pm, MS 6229
Course prerequisites: Math 170A.
Course textbook: Introduction to Probability, Second Edition, by Dimitri P. Bertsekas and John N. Tsitsiklis (it is freely available online).
Course description: This course covers some more advanced topics in the fundamentals of probability theory. In particular, during our lectures we will have a closer look at transforms, conditioning, sums of random variables, and limit theorems. The second half of the course provides a fairly detailed introduction to Bernoulli, Poisson, and Markov random processes. The exact selection of topics is to be determined based on your initial knowledge of probability and the speed your progress through the new material.