Fall 2011
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 1:00-2:00 P.M., 法學院 410-1實驗室
Time:
Lectures: Tuesday 5-7
Location:
Lectures: 法學院 201
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 |
Discrete Random Variables |
|
|
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 |
Continuous Random Variables |
|
|
11 |
11/22 |
Pairs of Random Variables |
|
|
12 |
11/29 |
Pairs of Random Variables |
|
|
13 |
12/6 |
Pairs of Random Variables |
Quiz 3 |
|
14 |
12/13 |
Pairs of Random Variables |
|
|
15 |
12/20 |
Random Vectors |
|
|
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, Second Edition, by Roy D. Yates and David J. Goodman, John Wiley & Sons, Inc., 2005. , 滄海代理