MATH 170B
Probability Theory II
Description: Lecture, three hours; discussion, one hour. Enforced requisites: courses 131A, 170A. Continuation of rigorous presentation of probability theory based on real analysis. Moments and generating functions; laws of large numbers, central limit theorem, and convergence in distribution; branching processes; random walks; Poisson and other random processes in continuous time. Advance topics in probability theory. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Winter 2021 - Unlike other students who leave comments, I find this class with Professor Iseli easy. Weekly homework is the major component of the workload, but I only spent ~2-3 hours on average each week on homework. The two quizzes require a decent amount of time to review. I spent like two hours on reviewing the notes for each of quizzes. Since the final was 24 hours open book, I didn’t even review before the exam. This course is chill in online format. Professor Iseli is clear, caring, and supportive, although it could be a bit hard to recognize her handwriting occasionally. I would recommend anyone interested in 170B to take it with her. You should be familiar with analysis before taking this class, otherwise you can lose points anywhere because you made minute mistakes in real analysis. This course requires more rigor than usual undergrad classes.
Winter 2021 - Unlike other students who leave comments, I find this class with Professor Iseli easy. Weekly homework is the major component of the workload, but I only spent ~2-3 hours on average each week on homework. The two quizzes require a decent amount of time to review. I spent like two hours on reviewing the notes for each of quizzes. Since the final was 24 hours open book, I didn’t even review before the exam. This course is chill in online format. Professor Iseli is clear, caring, and supportive, although it could be a bit hard to recognize her handwriting occasionally. I would recommend anyone interested in 170B to take it with her. You should be familiar with analysis before taking this class, otherwise you can lose points anywhere because you made minute mistakes in real analysis. This course requires more rigor than usual undergrad classes.
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