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
    M Chapters in parenthesis indicate use M as a reference -the lectures will be closely tied to GS.
  • GS : Charles M. Grinstead and J. Laurie Snell, Introduction to Probability, second revised edition
    From week 3 the lectures will follow GS more closely
Tues
March 27
M: 1.1 -1.5, 2.6 Factorial, Sterlings Formula, Permutations, Ordered and Unordered sets
Wed
March 28
Introduction to Mathematical Arguments How to do proofs. Warm Up
Thur
March 29
M: 1.6 -1.8 Binomial Coefficients, Probability Basics
Tues
April 3
GS: 1.2
M: 2.1, 2.2
Discrete Probability Distributions, Formal definitions, Conditional probability, Examples
Wed
April 4
More Combinatorics, Independent events, dependent events, Review
Thur
April 5
M 2.3
GS 3.1, 3.2
Probability basics, More Permutations Combinations, Examples
Tues
April 10
Exam 1; in class On material covered till Apr 5
Wed
April 11
Binomial Distribution and Fixed points
Thur
April 12
GS 4.1 (M: 2.4, 2.5) Independence, Bayes Rule
Tue
April 17
GS:6.1, 6.2
( M:3.1,3.2)
Joint Distributions, Expected Value, Variance (Discrete)
Wed
April 18
Set Theory
Worksheet 2
Set theory is for practise and review
Worksheet 2, Try atleast the marked problems in class
Thur
April 19
GS:6.1, 6.2
(M:3.1,3.2)
Expected Value, Variance (Discrete)
Tues
April 24
GS 5.1
(M: 4.1 4.3, 4.4, 4.6)
Discrete Distributions , Bernoulli, Binomial, Exponential
Wed
April 25
Review
Thur
April 26
Exam 2, in class
Tues
May 1
M: 4.2, 4.6, 4.7
GS 5.2
Continuous Distribution and densities, Uniform, Exponential, Poisson
Wed
May 2
Worksheet3 Cumulative distribution, density function, covariance
Thur
May 3
GS: 8.1
M: 4.7, 4.8
Normal Distribution,Markov inequality
Tues
May 8
GS: 8.1 Chebyshev inequality, Weak Law of Large Numbers (Discrete case),
Wed
May 9
Worksheet4 Chebyshev/markov inequality
Thur
May 10
GS: 9.1 Bernoulli Trials, Central Limit Theorem
Tues
May 15
GS:9.2 Central Limit Theorem, Independent Trial (Discrete case)
Wed
May 16
Exam 3, in class
Thur
May 17
11.1 Linear Algebra basics, Markov Chains
Tue
May 22
GS: 11.1, 11.2 Markov Chains
Wed
May 23
GS: 11.3 Ergodic Markov Chains
Thur
May 24
GS: 11.3 Ergodic Markov Chains
Tuesday
May 29
Course Wrap up
Wednesday
May 30
Review
Saturday
June 2
Final Exam
3 to 6 pm
Kemeny 007