Fall 2009
Instructor:
殷堂凱, Department
of Computer Science and Information Engineering
Office hours: Monday 1:00-4:00 P.M.
Office: 管院 623
Phone: 07-5919515
Email: tkyin@nuk.edu.tw
http://www.csie.nuk.edu.tw/~tkyin/
TA Office Hours: Monday 4:00-5:00 P.M., 法學院 410-1實驗室
Time:
Lectures: Tuesday 2-4
Location:
Lectures: 法學院 106
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
Lecture syllabus:
|
Lecture |
Date |
Subject |
Note |
|
1 |
9/15 |
Experiments, Models, and Probabilities |
|
|
2 |
9/22 |
Experiments, Models, and Probabilities |
|
|
3 |
9/29 |
Discrete Random Variables |
|
|
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 |
Pairs of Random Variables |
|
|
11 |
11/24 |
Pairs of Random Variables |
|
|
12 |
12/1 |
Pairs of Random Variables |
|
|
13 |
12/8 |
Random Vectors |
Quiz 3 |
|
14 |
12/15 |
Random Vectors |
|
|
15 |
12/22 |
Sums of Random Variables |
|
|
16 |
12/29 |
Sums of Random Variables |
Quiz 4 |
|
17 |
1/5 |
Sums of Random Variables |
|
|
18 |
1/12 |
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