Fall 2019
Instructor:
殷堂凱, Department
of Computer Science and Information Engineering
Office hours: Tuesday 9:00-12:00 A.M.
Office: 綜合大樓 200
Phone: 07-5919515
Email: tkyin@nuk.edu.tw
https://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: 工學院地下B103
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 |
9/10 |
Experiments, Models, and Probabilities |
|
|
2 |
9/17 |
Experiments, Models, and Probabilities |
|
|
3 |
9/24 |
Sequential Experiments |
|
|
4 |
10/1 |
Discrete Random Variables |
Quiz 1 |
|
5 |
10/8 |
Discrete Random Variables |
|
|
6 |
10/15 |
Discrete Random Variables |
|
|
7 |
10/22 |
Continuous Random Variables |
Quiz 2 |
|
8 |
10/29 |
Continuous Random Variables |
|
|
9 |
11/5 |
Midterm exam |
|
|
10 |
11/12 |
Multiple Random Variables |
|
|
11 |
11/19 |
Multiple Random Variables |
|
|
12 |
11/26 |
Probability Models of Derived Random Variables |
|
|
13 |
12/3 |
Probability Models of Derived Random Variables |
Quiz 3 |
|
14 |
12/10 |
Conditional Probability Models |
|
|
15 |
12/17 |
Conditional Probability Models |
Quiz 4 |
|
16 |
12/24 |
Random Vectors |
|
|
17 |
12/31 |
Random Vectors |
|
|
18 |
1/7 |
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