Syllabus
Course Requirements:
Projects
Projects worth 10% of your grade are due before
the last class. You MAY work with 1 or 2 friends on
these, assuming you do work commensurate with the
number of participants.
The exam is scheduled for Tuesday night,
October 29th. This is worth 20 percent of your final
grade.
Homework
Homework will be due before each class in the labelled box
under the mailboxes outside of Filene. We will now be using the
hw boxes which are outside Filene, closest to 102 Bradley. The columns
are alphabetically indexed. The first column is for the
INCOMING hw, the second where CORRECTED hws will be,
and the third will contain SOLUTIONS.
Your graders are
- Priyavrat Bhartia (A-O) and
- Padraic Malinowski (P-Z)
All hw grading questions should be taken up with them.
We will end up dropping your lowest 3 or 4 hw grades.
Note: Exam dates are still tentative.
Changes will be posted here.
Chapter 1
Chapter 3
- Lecture 2, Section 3.1
Homework 2 due 10/2: click here
- Lecture 3, Section 3.2
Homework 3 due 10/4: click here
- x-hour on 10/3
- Lecture 4, Section 3.2 (up to hypothesis testing)
Homework 4 due 10/7: click here
- Lecture 5, Section 3.2 (rest)
Homework 5 due 10/9: click here
- QUIZ during x-hour on 10/10 - covers Ch. 1, Ch. 3
Chapter 4
Chapter 5
- Lecture 9, Section 5.1 Important distributions (uniform, binomial, geoemtric, negative binomial, Poisson)
Homework 9 due 10/18: click here
Chapter 6
- Lecture 10, Section 5.1: Poisson dist, hypergeometric dist.; Section 6.1: Expectation
Homework 10 due 10/21: click here
- Lecture 11, Section 6.1: Expectation
Homework 11 due 10/23: click here
- Lecture 12, Section 6.1,6.2: Conditional expectation, variance, standard deviation
Homework 12 due 10/25: click here
Chapter 8
- Lecture 13, Section 8.1 Law of Large Numbers
Chebyshev's Inequality Example click here
Chapter 9
- Lecture 14, Section 9.1 Normal approximation to the binomial distribution
Homework 13 due 11/04: click here
normal distribution discussion: click here
- Lecture 15, Sections 9.1, 9.2 Confidence Intervals, Margin of Error
Homework 14 due 11/06: click here
- Lecture 16, Sections 9.2, 11.1 More Central Limit Theorem, Markov Chains
Homework 15 due 11/08: click here
Chapter 11
- Lecture 17, Section 11.1 Basics of Markov chains. State diagrams, transition matrices, matrix arithmetic
Homework 16 due 11/11: click here
- Lecture 18, Section 11.2 Absorbing chains, the fundamental matrix
Homework 17 due 11/13: click here
- Lecture 19, Section 11.3 Ergodic chain, regular chains
Homework 18 due 11/15: click here
- Lecture 20, Section 11.3, 11.4: Ergodic chain, regular chains, equib. dists.
Homework 19 due 11/18: click here
- Lecture 21, Section 11.5: Mean first passage, mean recurrence time
Homework 20 due 11/20: click here
- Lecture 22, Section 11.5: Fundamental matrix for ergodic chains
Homework 21 due 11/22: click here
- Lecture 23, Section 11.5: Reversibility
Homework 22 due 11/22: click here
There will be NO CLASS Wednesday, November 27
Syllabus beyond this point may be changed as class progresses.
Changes will be announced in class and posted here.
- Lecture 13
Homework 12 due 10/25: click here
- Hour Exam: 10/29 at 7:30
- Final Exam: TBA