SDS 4010
Probability
Mathematical theory and application of probability at the advanced undergraduate level; a calculus based introduction to probability theory. Topics include the computational basics of probability theory, combinatorial methods, conditional probability including Bayes' theorem, random variables and distributions, expectations and moments, the classical distributions, and the central limit theorem. permission of the instructor.
Instructors
Bill Katsianos, Bowen Xie, Chetkar Jha, Debashis Mondal, Debjoy Thakur, Mondal, Vasileios Katsianos, Xie
Reviews
2 or less hrs/week
extremely generous grader, the final exam median was around 90 something bc of potential for 20 extra credit pts. also he’s fine af
12/18/2024
4-6 hrs/week
good professor when explaining things, can sometimes go over content too fast. exams are hit or miss. interesting and challenging content
6/11/2024
He is a very knowledgable professor and always ready to help. But as a human being he needs help too. So, as long as a student is ready to help, he will go above and beyond to help him back.
6/12/2022
I think he made this class a lot harder and more confusing than it had to be. Lectures were kind of all over the place, and tests were extremely difficult. Really bad with technology too, to the point where it became a distraction (how did this man survive online teaching in 2020??). Very nice man, but I wouldn't take him again.
12/26/2021