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The calendar below provides information on the course's lecture (L), recitation (R), tutorial (T), and quiz (Q) sessions.

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)