Calendar | AMS131, Fall 15, Section 01

Key Dates:

A more detailed schedule is available below.

Note:

Quizzes and exams will be in the classroom.
The final is a 2 hours exam (not a 3 hours exam) and it will only include the material covered after the midterm.
There will be no make ups for quizzes (no exceptions). The lowest quiz score will be dropped from the grade calculation.

Week	Date	Topic
1	Th 09/24	Review of the course syllabus. Introduction and basic concepts. Sections 1.1-1.4.
	Tu 09/29	Definition of probability and finite sample spaces. Sections 1.5-1.6.
2	Th 10/01	Counting methods. Combinatorial methods. Multinomial coefficients. Sections 1.7-1.9.
	Tu 10/06	Union of events. Conditional probability and independent events. Sections 1.10 and 2.1-2.2.
3	Th 10/08	Bayes' Theorem. Section 2.3.
	Tu 10/13	Discrete random variables. Examples of discrete random variables. Sections 2.3, 3.1, 5.1-5.5. Quiz #1.
4	Th 10/15	Examples of discrete random variables. Continuous random variables. The CDF. Sections 5.1-5.5, and 3.2-3.3.
	Tu 10/20	Bivariate distributions and marginal distributions. Sections 3.4 and 3.5.
5	Th 10/22	Conditional distributions. Section 3.6
	Tu 10/27	Review
6	Th 10/29	Midterm
	Tu 11/3	Multivariate distributions. Section 3.7.
7	Th 11/5	Functions of random variables. Sections 3.8-3.9.
	Tu 11/10	Markov chains. Section 3.10
8	Th 11/12	Expectation and variances. Section 4.1-4.3 and 5.1-5.5.
	Tu 11/17	Covariance and conditional expectation. Sections 4.6-4.7. Quiz #2.
9	Th 11/19	The normal distribution. Markov and Chebyshev's inequalities. The law of large numbers. Sections 5.6, 6.1-6.2.
	Tu 11/24	The law of large numbers and the central limit theorem. Sections 6.2-6.3
	Th 11/26	THANKSGIVING
10	Tu 12/01	More CLT examples. Other distributions: the gamma and beta distributions. The Poisson process.
	Th 12/03	Review. Quiz #3 (optional).
	Mon 12/07	FINAL EXAM 9am-11am