AM/0169 (sec 001) Computational Problems and Statistics
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| Professor: Geman
Course format: Lecture |
Number of respondents: 20
Total Enrollment: 24 |
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"Computational Probability and Statistics" focuses on the calculation of statistical problems using computer programs. The prerequisites for this course are some prior knowledge of statistics along with some programming experience. In particular, students heavily recommended that one be familiar with MatLab before attempting this course. Also, some found that linear algebra was helpful as well.
One thing reviewers mentioned again and again about Professor Geman's teaching style is his enthusiasm for the subject. This proved to be infectious as he motivated the class into actually *wanting* to learn the material. During lectures, they wrote that he was clear in explaining concepts, relying heavily on the use of concrete examples. Some people felt that they could have used more attention on a personal basis, although they noted that the large size of the class was more at fault for this than the instructor. In general, everyone was satisfied with having Professor Geman as a teacher.
There were no exams at all in this course. There was no assigned text either. Instead, all of the information was given in the form of class notes. Students who referenced found them to be useful in general. Student evaluation consisted of ten programming projects.
Respondents spent anywhere from four to ten hours per week on the work. This was more time than most students had expected to devote at the beginning. Everyone who took this course was happy that they had decided to enroll. It is strongly suggested that anyone considering "Computational Probability and Statistics" have prior experience with MatLab. However, if you do have the necessary background and an interest in the subject material, then there is no reason not to choose this course. Professor Geman will certainly keep you awake and eager to learn more.
View AM/0169 in the Brown Online Course Announcement.
