Introduction to Probability

Fall 2012
2:10 - 4:00 PM, Tuesdays
   9:10 - 10:00 PM, Fridays
Instructor:
Dr. Berlin Chen (陳柏琳)
 

Tentative Topic List:

09/11 (Tue)

 

Course Overview & Introduction

 
09/14 (Fri)   Chapter 1: Sets and Probabilistic Models  
09/18 (Tue)   Chapter 1: Sets and Probabilistic Models  
09/21 (Fri)   Recitation  
09/25 (Tue)   Chapter 1: Conditional Probability, Total Probability Theorem and Bayes' Rule  
09/28 (Fri)   Chapter 1: Conditional Probability, Total Probability Theorem and Bayes' Rule  
10/02 (Tue)   Chapter 1: Independence & Counting  
10/05 (Fri)   Quiz 1  
10/09 (Tue)   Chapter 2: Discrete Random Variables: Basics Scope: Chapter 1
10/12 (Fri)   Chapter 2: Discrete Random Variables: Expectation, Mean, Variance  
10/16 (Tue)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence  
10/19 (Fri)   Quiz 2  
10/23 (Tue)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence HW-1: Supplementary problems (Due 11/2)
Problems: (Chapter 1) 7, 18, 24
                (Chapter 2) 7, 18
10/26 (Fri)   Discussion on Quiz 2  
10/30 (Tue)   Chapter 2: Discrete Random Variables: Joint PMFs, Conditioning and Independence  
11/02 (Fri)   Chapter 3: Continuous Random Variables: Basics  
11/06 (Tue)   Quiz 3 Scope: Chapter 2
11/09 (Fri)   Discussion on Quiz 2  
11/13 (Tue)   Midterm Scope: Chapters 1-2
11/16 (Fri)   Chapter 3: Continuous Random Variables: Basics  
11/20 (Tue)   Chapter 3: Continuous Random Variables: Basics
 
HW-2: Supplementary problems (Due 11/30)
Problems: (Chapter 3) 2, 4, 5, 7, 8
11/23 (Fri)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence  
11/27 (Tue)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence  
11/30 (Fri)   Discussion on Midterm  
12/04 (Tue)   Chapter 3: Continuous Random Variables: Conditioning, Expectation and Independence  
12/07 (Fri)   Chapter 4: Further Topics on Random Variables: Derived Functions  
12/11 (Tue)   Quiz 4 Scope: Chapter 3
12/14 (Fri)   Chapter 4: Further Topics on Random Variables: Derived Functions  
12/18 (Tue)   Chapter 4: Further Topics on Random Variables: Conditional Expectation and Variance Revisited  
12/21 (Fri)   Chapter 4: Further Topics on Random Variables: Conditional Expectation and Variance Revisited  
12/25 (Tue)   Chapter 4: Further Topics on Random Variables: Transforms (Moment Generating Functions) & Sum of a Random Number of Random Variables  
12/28 (Fri)   Chapter 4: Further Topics on Random Variables: Transforms (Moment Generating Functions) & Sum of a Random Number of Random Variables  
1/01 (Tue)   New Year's Holidays  
1/04 (Fri)   Chapter 4: Further Topics on Random Variables: Transforms (Moment Generating Functions) & Sum of a Random Number of Random Variables  
1/08 (Tue)   Final  

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.