Probability


Fall 2016

Instructor:

殷堂凱, Department of Computer Science and Information Engineering
Office hours: Tuesday 9:00-12:00 A.M.
Office:
管院 623
Phone: 07-5919515
Email: tkyin@nuk.edu.tw

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

 

TA Office Hours: (時間地點,開學後與助教約定)

Time:

Lectures: Tuesday 5-7

Location:

Lectures: 第一綜合教室地下 B106

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

9/13

Experiments, Models, and Probabilities

 

2

9/20

Experiments, Models, and Probabilities

 

3

9/27

Sequential Experiments

 

4

10/4

Discrete Random Variables

 Quiz 1

5

10/11

Discrete Random Variables

 

6

10/18

Continuous Random Variables

 

7

10/25

Continuous Random Variables

Quiz 2

8

11/1

Continuous Random Variables

 

9

11/8

Midterm exam

 

10

11/15

Multiple Random Variables

 

11

11/22

Multiple Random Variables

 

12

11/29

Probability Models of Derived Random Variables

 

13

12/6

Probability Models of Derived Random Variables

 Quiz 3

14

12/13

Conditional Probability Models

 

15

12/20

Conditional Probability Models

 

16

12/27

Random Vectors

 Quiz 4

17

1/3

Random Vectors

 

18

1/10

Final exam 

 

Grade:

Textbook:

Probability and Stochastic Processes, a Friendly Introduction for Electrical and Computer Engineers, Third Edition, by Roy D. Yates and David J. Goodman, John Wiley & Sons, Inc., 2015. , 滄海代理