The calendar below provides information on the course's lecture (L), recitation (R), tutorial (T), and quiz (Q) sessions.
Course calendar.
| Ses # |
Topics |
Key dates |
| L1 |
Probability Models and Axioms |
Problem set 1 out |
| T1 |
Tutorial 1 |
|
| L2 |
Conditioning and Bayes' Rule |
|
| R1 |
Recitation 1 |
|
| L3 |
Independence |
Problem set 2 out
Problem set 1 due |
| R2 |
Recitation 2 |
|
| T2 |
Tutorial 2 |
|
| L4 |
Counting |
|
| R3 |
Recitation 3 |
|
| L5 |
Discrete Random Variables; Probability Mass Functions; Expectations |
Problem set 3 out
Problem set 2 due |
| R4 |
Recitation 4 |
|
| T3 |
Tutorial 3 |
|
| L6 |
Conditional Expectation; Examples |
|
| L7 |
Multiple Discrete Random Variables |
Problem set 4 out
Problem set 3 due |
| R5 |
Recitation 5 |
|
| T4 |
Tutorial 4 |
|
| L8 |
Continuous Random Variables - I |
|
| R6 |
Recitation 6 |
|
| L9 |
Continuous Random Variables - II |
Problem set 5 out
Problem set 4 due |
| R7 |
Recitation 7 |
|
| T5 |
Tutorial 5 |
|
| Q1 |
Quiz 1 (Covers up to L7) |
|
| R8 |
Recitation 8 |
|
| L10 |
Continuous Random Variables and Derived Distributions |
|
| R9 |
Recitation 9 |
|
| T6 |
Tutorial 6 |
|
| L11 |
More on Continuous Random Variables, Derived Distributions, Convolution |
|
| R10 |
Recitation 10 |
|
| L12 |
Transforms |
Problem set 6 out
Problem set 5 due |
| R11 |
Recitation 11 |
|
| T7 |
Tutorial 7 |
|
| L13 |
Iterated Expectations, Sum of a Random Number of Random Variables |
Problem set 7 out
Problem set 6 due |
| R12 |
Recitation 12 |
|
| L14 |
Prediction; Covariance and Correlation |
|
| R13 |
Recitation 13 |
|
| T8 |
Tutorial 8 |
|
| L15 |
Bernoulli Process |
|
| R14 |
Recitation 14 |
|
| L16 |
Poisson Process |
Problem set 8 out
Problem set 7 due |
| R15 |
Recitation 15 |
|
| T9 |
Tutorial 9 |
|
| Q2 |
Quiz 2 (Covers up to L14) |
|
| R16 |
Recitation 16 |
|
| L17 |
Poisson Process Examples |
|
| R17 |
Recitation 17 |
|
| T10 |
Tutorial 10 |
|
| L18 |
Markov Chains - I |
Problem set 9 out
Problem set 8 due |
| R18 |
Recitation 18 |
|
| T11 |
Tutorial 11 |
|
| L19 |
Markov Chains - II |
|
| R19 |
Recitation 19 |
|
| L20 |
Markov Chains - III |
Problem set 10 out
Problem set 9 due |
| R20 |
Recitation 20 |
|
| T12 |
Tutorial 12 |
|
| L21 |
Weak Law of Large Numbers |
|
| R21 |
Recitation 21 |
|
| L22 |
Central Limit Theorem |
Problem set 10 due |
| R22 |
Recitation 22 |
|
| L23 |
Strong Law of Large Numbers |
|
| R23 |
Recitation 23 |
|
| L24 |
Interactive Exploration |
|
| R24 |
Recitation 24 |
|
|
Final Exam (During Finals Week) |
|