Math 477 (Probability), Section 1, Fall 2026 (Rutgers University)
http://sites.math.rutgers.edu/~zeilberg/math477_26.html
Last Update: Sept. 4, 2026
Textbook
A first course in Probability by Sheldon Ross
Instructor
Dr. Doron ZEILBERGER ("Dr. Z")
[Office: Hill 704; Email: DrZprob at gmail dot com [Note: This Email is ONLY for this class.] ]
Times and Place
Dr. Z.'s Office Hours
Hill 704. Tuesdays: 2:45-3:30 pm; Fridays: 2:45-4:00 pm.
CLASS POLICY (and grading method)
Answers to Homework Problems
Lecture Schedule
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Mandatory Preliminary Reading:
Professor James Norris's
Probability Distributions
[posted here by kind permison of the author].
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Tues. 9/1: Lecture 1
1.1-1.5 Combinatorial Analysis
homework 1 (due 9/18)
Added Sept. 1, 2026: Here is attendance quiz 1
and here are the solutions to the attendance quiz
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Fri. 9/4: Lecture 2
2.1-2.4; What is Probability? Counting vs. Probability
homework 2 (due 9/18)
Added Sept. 4, 2026: Here is attendance quiz 2
and here are the solutions to the attendance quiz
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Tue. 9/8: NO CLASS TODAY (RUTGERS HAS MONDAY SCHEDULE TODAY)
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Fri. 9/11
Lecture 3
2.5: Sample spaces having equally likely outcomes.
homework 3 (due 9/18)
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Tue. 9/15: Lecture 4
3.1-3.3: Conditional Probability and Independence; Bayes's Formula
homework 4 (due 9/25)
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Fri. 9/18: Lecture 5
3.4 : Independent events. Quiz 1 (On Lectures 1-3)
homework 5 (due 9/25)
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Tue. 9/22: Lecture 6
4.1-4.3: Random Variables
homework 6 (due 10/2)
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Fri. 9/25: Lecture 7
4.4-4.5: Expectation and Variance. Quiz 2 (On Lectures 4-5)
homework 7 (due 10/2)
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Tue. 9/29: Lecture 8
4.6: The Bernoulli and Binomial Random Variables
homework 8 (due 10/9)
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Fri. 10/2: Lecture 9
4.7: The Poisson Random Variable . Quiz 3 (On Lectures 6-7)
homework 9 (due 10/9)
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Tue. 10/6: Lecture 10
4.8: Other Discrete Probability Distributions; Linearity of Expectation
homework 10 (due 10/16)
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Fri. 10/9: Lecture 11
5.1-5.2: Continuous Random Variables; Their Expectation and Variance. Quiz 4 (On Lectures 8-9)
homework 11 (due 10/16)
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Tue.. 10/16: REVIEW.
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Fri. 10/16: EXAM 1 (On lectures 1-11)
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Tue. 10/20: Lecture 12
5.3-5.4: The Uniform Distribution and the Normal Distribution.
homework 12 (due 10/30)
Z table
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Fri. 10/23: Lecture 13
5.5: The Exponential Distribution . Quiz 5 (On Lectures 10-11)
homework 13 (due 10/30)
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Tue. 10/27: Lecture 14
6.1: Joint Distribution Functions
homework 14 (due 11/6)
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Fri. 10/30: Lecture 15
6.2-6.3: Independent Random Variables and their Sums. Quiz 6 (On Lectures 12-13)
homework 15 (due 11/6)
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Tue. 11/3: Lecture 16
6.4-6.5: Conditional Distributions
homework 16 (due 11/13)
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Fri. 11/6: Lecture 17
7.1-7.2: Expectation of Sums of Random Variables. Quiz 7 (On Lectures 14-15)
homework 17 (due 11/13)
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Tue. 11/10: Lecture 18
Probability Generating Functions; The Gambler's Ruin Problem.
homework 18 (due 11/25)
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Fri. 11/13: Lecture 19
7.4: Covariance, Variance of Sums, and Correlations . Quiz 8 (On Lectures 16-17)
homework 19 (due 11/25)
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Tue. 11/17: Lecture 20
7.5: Conditional Expectation.
homework 20 (due 12/8)
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Fri. 11/20: REVIEW . No quiz today.
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Wed. 11/25: EXAM 2 (On lectures 1-19, with some emphasis on lectures 12-19) .
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Tue. 12/1: Lecture 21
7.7: Moment Generating Functions.
Quiz 9 (On Lectures 18-19)
homework 21 (due 12/8)
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Fri. 12/4: Lecture 22
8.2: Chebyshev's Inequality and the Weak Law of Large Numbers.
homework 22 (due 12/15)
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Tue. 12/8: Lecture 23
8.3 and 8.4, The Central Limit Theorem and The Strong Law of Large Numbers.
Quiz 10 (On Lectures 20-21)
homework 23 (due 12/15)
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Fri. 12/11: 2:00pm-5:00pm (Optional, but strongly recommended) Marathon review, via WebEx
Final:
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Tue., Dec. 15, 2026, 4:00-7:00pm , in CLASSROOM (LSH-B117)
Dr. Z.'s teaching