Probability


Fall 2015

Instructor:

殷堂凱, Department of Computer Science and Information Engineering
Office hours: Thursday 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 B01-204

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

9/15

Experiments, Models, and Probabilities

 

2

9/22

Experiments, Models, and Probabilities

 

3

9/29

Sequential Experiments

 

4

10/6

Discrete Random Variables

 Quiz 1

5

10/13

Discrete Random Variables

 

6

10/20

Continuous Random Variables

 

7

10/27

Continuous Random Variables

Quiz 2

8

11/3

Continuous Random Variables

 

9

11/10

Midterm exam

 

10

11/17

Multiple Random Variables

 

11

11/24

Multiple Random Variables

 

12

12/1

Probability Models of Derived Random Variables

 

13

12/8

Probability Models of Derived Random Variables

 Quiz 3

14

12/15

Conditional Probability Models

 

15

12/22

Conditional Probability Models

 

16

12/29

Random Vectors

 Quiz 4

17

1/5

Random Vectors

 

18

1/12

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