Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2021 287282 Random Signals and Systems 1 3.0 3 ★ WEI-CHANG, CHEN ECE 42 3 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2021	287282	Random Signals and Systems	1	3.0	3	★	WEI-CHANG, CHEN	ECE	42	3

Course Plan：

Instructor WEI-CHANG, CHEN

Email wcchen@ntut.edu.tw

Last Updated 2020-12-11 18:50:11

Course Objective This course aims at providing graduate students with the essential mathematical background for digital communications and communication networks. The course contains the following topics: Part 1. Review of Probability And Random Variables Part 2. Basic Concepts of Random Processes (Random Signals) a. Introduction to Random Processes b. Real-Valued Gaussian Random Vectors And Processes c. Karhunen–Loeve Representation Part 3. Applications of Random Processes a. Detection Theory b. Estimation Theory c. Poisson Processes, Markov Processes, And Queuing Theory

Course Schedule Week Topic Week 1 Review of Probability And Random Variables Week 2 Review of Probability And Random Variables Week 3 Introduction to Random Processes Week 4 Introduction to Random Processes Week 5 Introduction to Random Processes Week 6 Real-Valued Gaussian Random Vectors And Processes Week 7 Adjusted Holiday Week 8 Real-Valued Gaussian Random Vectors and Processes Week 9 Midterm Exam Week 10 Karhunen-Loeve Representation Week 11 Karhunen-Loeve Representation Week 12 Detection Theory Week 13 Detection Theory Week 14 Estimation Theory Week 15 Estimation Theory Week 16 Poisson Processes, Markov Processes, And Queuing Theory Week 17 Poisson Processes, Markov Processes, And Queuing Theory Week 18 Final Exam The schedule will be adjusted if necessary.

Evaluation and grading policy Midterm Exam 50% Final Exam 50%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Reference: [1] A. Papoulis and S.U. Pillai, Probability, Random Variables, and Stochastic Processes, fourth edition, McGraw-Hill, 2002. [2] A. Leon-Garcia, Probability, Statistics, and Random Processes for Electrical Engineering, third edition, Pearson, 2008.

The access to curricular consultation

Note
　

Instructor	WEI-CHANG, CHEN
Email	wcchen@ntut.edu.tw
Last Updated	2020-12-11 18:50:11
Course Objective	This course aims at providing graduate students with the essential mathematical background for digital communications and communication networks. The course contains the following topics: Part 1. Review of Probability And Random Variables Part 2. Basic Concepts of Random Processes (Random Signals) a. Introduction to Random Processes b. Real-Valued Gaussian Random Vectors And Processes c. Karhunen–Loeve Representation Part 3. Applications of Random Processes a. Detection Theory b. Estimation Theory c. Poisson Processes, Markov Processes, And Queuing Theory
Course Schedule	Week Topic Week 1 Review of Probability And Random Variables Week 2 Review of Probability And Random Variables Week 3 Introduction to Random Processes Week 4 Introduction to Random Processes Week 5 Introduction to Random Processes Week 6 Real-Valued Gaussian Random Vectors And Processes Week 7 Adjusted Holiday Week 8 Real-Valued Gaussian Random Vectors and Processes Week 9 Midterm Exam Week 10 Karhunen-Loeve Representation Week 11 Karhunen-Loeve Representation Week 12 Detection Theory Week 13 Detection Theory Week 14 Estimation Theory Week 15 Estimation Theory Week 16 Poisson Processes, Markov Processes, And Queuing Theory Week 17 Poisson Processes, Markov Processes, And Queuing Theory Week 18 Final Exam The schedule will be adjusted if necessary.
Evaluation and grading policy	Midterm Exam 50% Final Exam 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Reference: [1] A. Papoulis and S.U. Pillai, Probability, Random Variables, and Stochastic Processes, fourth edition, McGraw-Hill, 2002. [2] A. Leon-Garcia, Probability, Statistics, and Random Processes for Electrical Engineering, third edition, Pearson, 2008.
The access to curricular consultation
Note