Probability


Fall 2012

Instructor:

殷堂凱, Department of Computer Science and Information Engineering
Office hours: Thursday 9:00-12:00 A.M. (before the midterm exam), Monday 1:00-4:00 P.M. (after the midterm exam)
Office:
管院 623
Phone: 07-5919515
Email: tkyin@nuk.edu.tw

http://www.csie.nuk.edu.tw/~tkyin/

 

TA Office Hours: Monday 1:00-2:00 P.M., 法學院 410-1實驗室

Time:

Lectures: Tuesday 5-7

Location:

Lectures: 管理學院 M01-206

Objectives:

Introduce the topics and applications of discrete and continuous random variables

Lecture content:

1. Discrete and continuous random variables

2. Random vectors

Lecture syllabus:    

 Lecture 

Date

Subject

Note

1

9/18

Experiments, Models, and Probabilities

 

2

9/25

Experiments, Models, and Probabilities

 

3

10/2

Discrete Random Variables

 

4

10/9

Discrete Random Variables

 Quiz 1

5

10/16

Discrete Random Variables

 

6

10/23

Continuous Random Variables

 

7

10/30

Continuous Random Variables

Quiz 2

8

11/6

Continuous Random Variables

 

9

11/13

Midterm exam

 

10

11/20

Pairs of Random Variables

 

11

11/27

Pairs of Random Variables

 

12

12/4

Pairs of Random Variables

 

13

12/11

Pairs of Random Variables

 Quiz 3

14

12/18

Random Vectors

 

15

12/25

Random Vectors

 

16

1/1

Vacation, no class.

 

17

1/8

Random Vectors

 Quiz 4

18

1/15

Final exam 

 

Grade:

Textbook:

Probability and Stochastic Processes, a Friendly Introduction for Electrical and Computer Engineers, Second Edition, by Roy D. Yates and David J. Goodman, John Wiley & Sons, Inc., 2005. , 滄海代理