# Lecture Plan

The following is a tentative schedule for the course. Please check back regularly for updates as the term progresses.

Legend:
• M : David Morin, Probability: For the Enthusiastic Beginner
• GS : Charles M. Grinstead and J. Laurie Snell, Introduction to Probability, second revised edition
Lectures Sections in Text Description
Monday
September 11
M: 1.1, 1.2 Logic, Factorial and Permutations
Tuesday
September 12
Worksheet 1 Proof techniques
Wednesday
September 13
M: 1.3, 1.4, 1.5, 1.6 Ordered and unordered sets
Friday
September 15
M: 2.1, 2.2 Basic probability
Monday
September 18
M: 2.1, 2.2 Basic Probability
Tuesday
September 19
Worksheet 2 Probability and Combinatorics
Wednesday
September 20
M: 2.4, 2.5 Examples and Conditional Probability
Friday
September 22
M: 2.4, 2.5 Examples and Conditional Probability
Monday
September 25
GS: 1.2 Formalizing probability
Tuesday
September 26
Worksheet 3 Putting it all together
Wednesday
September 27
M: 2.4
GS: 4.3
More examples
Friday
September 29
M: 3.1
GS: 6.1
Expected Value and Variance
Monday
October 2
1st Midterm
Exam
Solutions
Some old exams from other instructors
Tuesday
October 2
Worksheet 4 TBA
Wednesday
October 4
M: 3.1, 3.2
GS: 6.1, 6.2
Expected Value and Variance
Friday
October 6
M: 3.2, 3.3
GS: 6.2, 6.3
Expected Value and Variance
Monday
October 9
M: Chapter 4
GS: Chapter 5
Important Distributions and Densities
Tuesday
October 10
Worksheet 5 TBA
Wednesday
October 11
M: Chapter 4
GS: Chapter 5
Important Distributions and Densities
Friday
October 13
M: Chapter 4
GS: Chapter 5
Important Distributions and Densities
Monday
October 16
2nd Midterm
Exam
Solutions
Some old exams from other instructors
Tuesday
October 17
GS: 8.1 Law of Large Numbers for Discrete Random Variables
Wednesday
October 18
GS: 8.1, 8.2 Law of Large Numbers for Discrete and Continuous Random Variables
Friday
October 20
GS: 8.2 Law of Large Numbers for Continuous Random Variables
Monday
October 23
GS: 9.1 Central Limit Theorem for Bernoulli Trials
Tuesday
October 24
Worksheet 6 Law of Large Numbers and Central Limit Theorem
Wednesday
October 25
GS: 9.1, 9.2 Central Limit Theorem for Discrete Independent Trials
Friday
October 27
GS: 9.2, 9.3 Central Limit Theorem for Continuous Independent Trials
Monday
October 30
3rd Midterm
Exam
Solutions
Some old exams from other instructors
Tuesday
October 31
Worksheet 7 Linear Algebra
Wednesday
November 1
GS: 11.1, 11.2 Markov Chains
Friday
November 3
GS: 11.2 Absorbing Markov Chains
Monday
November 6
GS: 11.2, 11.3 Absorbing and Ergodic Markov Chains
Tuesday
November 7
Worksheet 8 Markov chains
Wednesday
November 8
GS: 11.3 Ergodic Markov Chains
Friday
November 10
GS: 11.3 Ergodic Markov Chains
Monday
November 13
Review
Monday
November 20
Moore B03
3:00 pm
Final
Some old exams from other instructors