Courses:

Probability and Random Variables >> Content Detail



Study Materials



Readings

Amazon logo When you click the Amazon logo to the left of any citation and purchase the book (or other media) from Amazon.com, MIT OpenCourseWare will receive up to 10% of this purchase and any other purchases you make during that visit. This will not increase the cost of your purchase. Links provided are to the US Amazon site, but you can also support OCW through Amazon sites in other regions. Learn more.

Readings are assigned in the required textbook: Amazon logo Ross, Sheldon. A First Course in Probability. 7th ed. Upper Saddle River, NJ: Prentice Hall, 2005. ISBN: 0131856626. Some supplemental readings are also provided.


Lec #TopicsReadings
1-3Combinatorial AnalysisRead Chapter 1
4-6Axioms of Probability, Conditional Probability and IndependenceRead Chapters 2 and 3

Sec. 3.1-3.2: Introduction, Conditional Probabilities
7-9Conditional Probability and Independence (cont.), Random VariablesRead Chapters 3 and 4

Sec. 3.3-3.5: Bayes' Formula, Independent Events, P(•|F) is a Probability

Sec. 4.1-4.3: Random Variables, Discrete Random Variables, Expected Value
10-12Random Variables (cont.)Read Chapter 4

Sec. 4.4-4.7: Expectation of a Function of a Random Variable, Variance, The Bernoulli and Binomial Random Variables, The Poisson Random Variable

Sec. 4.8.1, 4.8.3: The Geometric Random Variable, The Hypergeometric Random Variable

Stirling's Formula Notes (PDF)
13-15Continuous Random VariablesRead Chapter 5

Sec. 5.1-5.4: Introduction, Expectation and Variance of Continuous Random Variables, The Uniform Random Variable, Normal Random Variables
16-18Continuous Random Variables (cont.)Read Chapter 5

Sec. 5.5-5.7: Exponential Random Variables, Other Continuous Distributions, The Distribution of a Function of a Random Variable

Beta Distribution Notes (PDF) (Courtesy of Robert J. Holt, Richard M. Dudley, and Lewis Pakula. Used with permission.)
19-21Jointly Distributed Random VariablesRead Chapter 6

Sec. 6.1-6.5: Joint Distribution Functions, Independent Random Variables, Sums of Independent Random Variables, Conditional Distributions: Discrete Case, Conditional Distributions: Continuous Case

Sec. 6.7: Joint Probability Distribution of Functions of Random Variables

Problem Set 7 Material (PDF)
22-24Properties of ExpectationRead Chapter 7

Sec. 7.1-7.4: Introduction, Expectation of Sums of Random Variables, Covariance, Variance of Sums, and Correlations, Conditional Expectation
25-28Limit TheoremsRead Chapter 8

Sec. 8.1-8.5: Introduction, Chebyshev's Inequality and the Weak Law of Large Numbers, The Central Limit Theorem, The Strong Law of Large Numbers, Other Inequalities
29-32Additional Topics in Probability, SimulationRead Chapters 9 and 10

Sec. 9.1: The Poisson Process

Sec. 10.1-10.2: Introduction, General Techniques for Simulating Continuous Random Variables

 








© 2017 Coursepedia.com, by Higher Ed Media LLC. All Rights Reserved.