Probability . MATH CS 121
This is a course on probability. It covers discrete and continuous distributions, combinatorial methods, generating functions, conditioning, the law of large numbers, the central limit theorem, stochastic processes, random walks, Brownian motion, and applications in biology, economics, engineering, and physics.
Prerequisites: None.
1 - 5
UnitsPass no pass
Grading1, 2, 3
PasstimeNone
Level LimitCreative studies
CollegeThese majors only matcs
Lecture
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Past Enrollment Trends (2)
Grading Trends (10)
Rate My Professors
21
3.0
223C with Ludkovski was a great class. It balanced computational methods and the underlying theory extremely well. While the homeworks were very difficult and strictly graded, I learned immensely from his criticisms. They were great practice at testing both my understanding of the theory and my skill with implementing the methods.
The grading criteria was confusing to me personally.
rubric on the final was super punishing and unfair
Worst prof in this department. DO NOT TAKE ANY COURSES FROM HIM!!!!! Hadn't seen such a tough grading criteria in my life.
honestly the worst teacher I've had in my whole life. grades super hard, his answer keys are wrong half the time and he doesn't respond to emails. genuinely do not take this professor. i hate this guy with a passion
One of the best professors in the stats department. His understanding to financial math materials are unparalleled. Hard exmas and hard homeworks, but office hours are extremely helpful. You are actually going to learn practical stuff from Professor Ludkovski. Strongly recommended.
Hung Chiang
2.7
Paul Atzberger
2.7
Karel Casteels
4.2