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: Classroom Unit 1

### Instructor

Bruno Sansó, BE 361C

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

### Teaching Assistants

Sisi Song

OFFICE HOURS: Mon 11 - 1, BE 119; Wed 3 - 5, BE312 C/D

Xingchen Yu

OFFICE HOURS: Tue 4 - 6:30, BE 119; Fri 1:30 - 3:00, BE 119

### 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.
- Please fill out the survey so that Sushmita Sen, the assigned learning assistant for this class, can estimate when to hold tutoring.
- Sign up for tutoring will open Friday at 5pm. Times are:
- Tuesday 11:40 - 12:40PM at Science and Engineering Library room 138
- Wednesday 1:20 - 2:20PM at Science and Engineering Library room 332
- Thursday 12:00 - 1:00PM at Science and Engineering Library room 137

- The distribution of the grades for the first midterm can be seen in this figure