Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains.

HOURS: 8:00- 9:35; Tu. and Th.
ROOM: J Bask Aud 101

Instructor 

Bruno Sansó, E2 525

OFFICE HOURS: 10:30 - 11:30 Tu and Th

Teaching Assistants

Peter Trubey

SECTIONS: Tu 12:10PM-01:15PM in  Soc Sci 2 141; Tu 01:30PM-02:35PM in  Soc Sci 2 141

OFFICE HOURS:  Thursday, 1-2 PM (BE 153A), and Friday, 2-3 PM (BE 151)

Xiaotian Zheng

SECTIONS: Th 03:20PM-04:25PM in Soc Sci 2 141; Th 04:40PM-05:45PM in Soc Sci 2 141

OFFICE HOURS: Tu 5:00-6:00 pm in BE-312C/D and Th 12:00-1:00 pm in BE-312C/D

Annoucements

  • This is a calculus based probability class. The more up to date and deeper your knowledge of calculus, the better. Spend some time reviewing your calculus, especially if you took your last calculus class a while ago.
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