Week 1 (09/08, 09/10):
Sample Space, Probability Theory
Materials will mainly be drawn from:
Week 2 (09/15, 09/17): Measurability, Random variables
Materials will mainly be drawn from:
Week 3 (09/22, 09/24): Expectation, Distribution Function
Materials will mainly be drawn from:
-
Lecture 3,4 from Last
Year Course Website
- A scanned copy of the materials covered on 09/22 can be found here
- A scanned copy of the materials covered on 09/24 can be found here
Week 4 and Week 5 (09/29, 10/01, 10/06, 10/08): Conditional
Distribution,
Conditional Expectation
Materials will mainly be drawn from:
Week 6 (10/13, 10/15): Markov chain
- A scanned copy of the materials covered on 10/13 can be
found here
- A scanned copy of the materials covered on 10/15 can be found here
Week 7 (10/20, 10/22): Markov chain
Continued discussion on the previous notes.
Week 8 (10/27, 10/29): Markov chain
Midterm and Practice problems.
Week 9 (11/3, 11/5): Markov chain
- A scanned copy of the materials covered on 11/3 can be
found here
- A scanned copy of the materials covered on 11/5 can be found here
Week 10 (11/10, 11/12): Markov chain
- A scanned copy of the materials covered on 11/10 can be
found here
- A scanned copy of the materials covered on 11/12 can be found here
Week 11(11/17, 11/19): Markov chain
- A scanned copy of the materials covered on this week can be
found here
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