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Johns Hopkins University | EN.550.621

Probability Theory II

4.0

credits

Average Course Rating

(4.23)

Probability at the level of measure theory, focusing on limit theory. Modes of convergence, Poisson convergence, three-series theorem, strong law of large numbers, continuity theorem, central limit theory, Berry-Esseen theorem, infinitely divisible and stable laws.

Spring 2013

(4.13)

Spring 2014

(4.0)

Spring 2015

(4.56)

Spring 2013

Professor: James Fil

(4.13)

The best aspect of the course was the professor, because he was able to effectively and humorously convey very complicated subjects. The worst aspects of the course included the disorganized lecture notes and fast paced lectures. The professor would sometimes speed through lectures and miss things, making it hard for students to do the homework write-ups. The course would improve if the lecture notes were more organized. It would also improve if the professor taught at a slower pace and provided homework solutions regularly. Prospective students should have a strong background in analysis and probability theory.

Spring 2014

Professor: James Fil

(4.0)

The best features of the class were the material covered, the enthusiastic and knowledgeable instructor, and the intellectual rigor. The homework was graded closely forcing students to improve their proofs. The lectures and notes were confusing and faced paced at times. Additionally, there was a great deal of material to cover in a short time, so class often felt rushed. Better organization of notes and breaking the course into three, rather than two classes were suggestions for improvement. Prospective students should take this class right after taking Probability Theory I. The workload is low but students will need to stay on top of studying independently to do wel .

Spring 2015

Professor: James Fil

(4.56)

The best aspects of this course included the wel -prepared lectures, the good balance of theory and application, and the comprehensive lecture notes circulated prior to lecture meetings. Students found that the professor was highly knowledgeable and well organized, but that he occasionally moved too quickly through slides, particularly with more difficult material. A few suggested that he had the tendency to come off as condescending to students. Suggestions for improvement included more frequent and detailed feedback on assignments and tests. Prospective students should have good working knowledge of algebra and matrix, and a background with optimization will be beneficial.