Introduction to Probability

Fall 2011
2:10 - 4:00 PM, Tuesdays
   9:10 - 10:00 PM, Fridays
Instructor:
Dr. Berlin Chen (陳柏琳)
 

Tentative Topic List:

09/13 (Tue)

 

Course Overview & Introduction

 
09/16 (Fri)   Chapter 1: Sets and Probabilistic Models  
09/20 (Tue)   Chapter 1: Sets and Probabilistic Models  
09/23 (Fri)   Chapter 1: Conditional Probability, Total Probability Theorem and Bayes' Rule  
09/27 (Tue)   Chapter 1: Conditional Probability, Total Probability Theorem and Bayes' Rule
Chapter 1: Independence & Counting
 
09/30 (Fri)   Chapter 1: Independence & Counting  
10/04 (Tue)   Chapter 2: Discrete Random Variables: Basics  
10/07 (Fri)   Chapter 2: Discrete Random Variables: Basics  
10/11 (Tue)   Chapter 2: Discrete Random Variables: Expectation, Mean, Variance  
10/14 (Fri)   Chapter 2: Discrete Random Variables: Expectation, Mean, Variance  
10/18 (Tue)   Quiz 1 Scope: Chapter 1
10/21 (Fri)   Discussion on Homework 1 and Quiz 1  
10/25 (Tue)   Chapter 2: Discrete Random Variables: Expectation, Mean, Variance  
10/28 (Fri)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence  
11/01 (Tue)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence  
11/04 (Fri)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence  
11/08 (Tue)   Quiz 2 Scope: Chapter 2
11/11 (Fri)   Discussion on Homework 2 and Quiz 2  
11/15 (Tue)   Chapter 3: Continuous Random Variables: Basics  
11/18 (Fri)   Chapter 3: Continuous Random Variables: Basics  
11/22 (Tue)   Midterm Scope: Chapters 1 - 2
11/25 (Fri)   Break (School Sports Day)  
11/29 (Tue)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence  
12/01 (Fri)   Discussion on Midterm  
120/6 (Tue)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence HW-3: Supplementary problems (Due 12/13)
Problems (Chapter 3) 2, 4, 5, 7, 11
12/09 (Fri)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence  
12/13 (Tue)   Quiz 3 Scope: Chapter 3
12/16 (Fri)   Discussion on Homework 3 and Quiz 3  
12/20 (Tue)   Chapter 4: Further Topics on Random Variables: Derived Functions  
12/23 (Fri)   Chapter 4: Further Topics on Random Variables: Covariance and Correlation  
12/27 (Tue)   Chapter 4: Further Topics on Random Variables: Conditional Expectation and Variance Revisited  
12/30 (Fri)   Chapter 4: Further Topics on Random Variables: Conditional Expectation and Variance Revisited  
01/03 (Tue)   Chapter 4: Further Topics on Random Variables: Transforms (Moment Generating Functions) & Sum of a Random Number of Random Variables  
01/06 (Fri)   Chapter 4: Further Topics on Random Variables: Transforms (Moment Generating Functions) & Sum of a Random Number of Random Variables  
01/10 (Tue)   Final Scope: Chapters 3 - 4
       

Textbook:
     1.   D. P. Bertsekas, J. N. Tsitsiklis, “Introduction to Probability,” Athena Scientific, 2008.

References:
   
1.   William C. Navidi, “Statistics for Engineers and Scientists,” McGraw-Hill, 2007.
     2.   Prem S. Mann, “Introductory Statistics,” Wiley, 2006.