Probability

Instructor:

殷堂凱, Department of Computer Science and Information Engineering
Office hours: Thursday 7-8
Office: 理工二 305
Phone: 07-5919515
Email: tkyin@nuk.edu.tw

TA:

Time:

Lectures: Tuesday 5-7

Location:

Lectures: 理工第二實驗大樓 103

Objectives:

Introduce the topics and applications of discrete and continuous random variables

Lecture content:

1. Discrete and continuous random variables

2. Random vectors

3. Sum of random variables

4. Parameter estimation

5. Hypothesis testing

Lecture syllabus:  

　

Lecture	Date	Subject	Note
1	9/20	Experiments, Models, and Probabilities
2	9/27	Experiments, Models, and Probabilities
3	10/4	Discrete Random Variables	Quiz 1
4	10/11	Discrete Random Variables
5	10/18	Continuous Random Variables
6	10/25	Continuous Random Variables	Quiz 2
7	11/1	Pairs of Random Variables
8	11/8	Pairs of Random Variables
9	11/15	Midterm exam
10	11/22	Random Vectors
11	11/29	Sums of Random Variables
12	12/6	Sums of Random Variables	Quiz 3
13	12/13	Parameter Estimation Using the Sample Mean
14	12/20	Hypothesis Testing
15	12/27	Hypothesis Testing	Quiz 4
16	1/3	Estimation of a Random Variable
17	1/10	Estimation of a Random Variable
18	1/17	Final exam

Grade:

• Midterm (30%)
• Final (30%)
• 4 Quizzes (40%)
• Class attendance (-5% ~ +5%)

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