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Office
Hours: R & F : 1-2 pm
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Lectures
Lecture 1 - Introduction
Lecture
Video
Class
Notes
Suggested Exercises: Video
Links Below
Lecture 2 - Basics of Counting
Lecture
Video
Class
Notes
Suggested Exercises:(Chapter 1:
pg 15) 1-5, 6, 7, 9, 10
(Chapter
1: pg 17) 2, 4, 6
Lecture 3 - Permutations and
Combinations
Lecture
Video
Class
Notes
Suggested Exercises:(Chapter 1:
pg 15) 11, 12, 14, 16, 18, 19, 23, 25
(Chapter
1: pg 17) 8, 9, 12, 13
Lecture 4 - Axioms of Probability
Lecture
Video
Class
Notes
Suggested Exercises:(Chapter 1:
pg 48) 1, 2, 3, 5, 8
(Chapter
1: pg 52) 1, 4, 10, 11
Lecture 5 - Applications of
Axioms of Probability
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
2: pg 49) 9,12,13,15
Lecture 6 - Conditional
Probability
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
2: pg 49) 21,23,24,25,27
(Chapter
2: pg 52) 12,13,19
Lecture 7 - Conditional
Probability & Independence
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
3: pg 97) 1, 5,6,7,9,1214,15
(Chapter
3: pg 52) 4,5,7
Lecture 8 - Bayes Theorem
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
3: pg. 97) 16,18,19,23,29,31
Lecture 9 - Independence
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
3: pg. 100) 32, 33,36, 40,51,53, 55, 58, 74
(Chapter
3: pg. 106) 5, 7, 9, 18, 22
Lecture 10 - Random Variables
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
4: pg. 163) 1,4,7,8,13,14,17,21
Lecture 11 - Expectation and
Variance
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
4: pg. 163) 25,27,28,30,32
Lecture 12 - Bernoulli and Binomial
Distributions
Lecture
Video
Class
Notes
Suggested Exercises: (Chapter
4: pg. 163) 33,35,39,40,44,46,48,49.50
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Lecture 13 - The Poisson
Distribution
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 4:
pg. 163) 51,52,54,55,56,57
Lecture 14 - Poisson
Distribution and the Poisson Approximation
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 4:
pg. 163) 58,59,61,63,64,65,68
Lecture 15- Geometric
Distribution
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 4:
pg. 163) 71,72,73,74,75
Lecture 16 - Negative Binomial
and Hypergeometric Distributions
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 4:
pg. 163) 78,79,80,82,83
Lecture 17 - Continuous Radom
Variables
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 5:
pg. 212) 1,3,4,5,8,9
Midterm Exam
Lecture 18 - Uniform Radom
Variable
Lecture
Video
Class
Notes
Suggested
Exercises: (Chapter 5:
pg. 212) 10,11,12,13,14
Lecture 19 - Normal/Gaussian
Radom Variables I
Lecture
Video
Suggested
Exercises: (Chapter 5:
pg. 212) 15,17,19,20,21
Lecture 20 - Normal/Gaussian
Radom Variables II
Lecture
Video
Suggested
Exercises: (Chapter 5:
pg. 212) 15,17,19,20,21
Lecture 21 - Normal
Approximation to the Binomial
Lecture
Video
Suggested
Exercises: (Chapter 5:
pg. 212) 22,23,24,25,27
Lecture 22 - Exponential Random
Variables
Lecture
Video
Suggested
Exercises: (Chapter 5:
pg. 212) 32,33,34,35
Lecture 23 - Interarrival Time
and Hazard Rate Function
Lecture
Video
Suggested
Exercises: (Chapter 5:
pg. 212) 36,37,38
Lecture 24 - Jointly
Distributed Random Variables
Lecture
Video
Suggested
Exercises: (Chapter 6:
pg. 271) 1,3,6,7,8,9,10
Lecture 25 - Joint Distribution
and Independence
Lecture
Video
Suggested
Exercise: (Chapter 6:
pg. 271) 12,13,15,17,19,21,23,24
Lecture 26 - Sums of i.i.d
Random Variables
Lecture
Video
Suggested
Exercise: (Chapter 6:
pg. 271) 27,29,32,33,34,35,40
Lecture 27 - Central Limit
Theorem and Simulation
Lecture
Video
Suggested
Exercise: (Chapter 8:
pg. 390) 1,2,3,4,5,6,7
(Chapter
10: pg. 430) 2,3,4,5
Useful Links
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