2023-Fall Advanced Probability Theory for CSE (CSED530-01) The course syllabus

1.Course Information

Course No. CSED530 Section 01 Credit 3.00
Category Major elective Course Type Classroom Course prerequisites
Postechian Core Competence
Hours TUE, THU / 11:00 ~ 12:15 / Hogil Kim Bldg[307]Lecture Room Grading Scale G

2. Instructor Information

Song Hwangjun Name Song Hwangjun Department Dept. of Computer Science & Eng.
Email address hwangjun@postech.ac.kr Homepage http://mcnl.postech.ac.kr/
Office Office Phone 279-2246
Office Hours

3. Course Objectives

This course provides an broad overview of probability theory, and random variable, and random process for the graduate students of Computer Science Engineering.

4. Prerequisites & require

5. Grading

- Midterm Exam - 30% - Final Exam - 40% - Research Project - 30%

6. Course Materials

Title Author Publisher Publication
Year/Edition
ISBN

7. Course References

“Probability, Random variables, and Stochastic Process“ by A. Popoulis
“Probability and Random Processes” by H. Stark and J. W. Woods

8. Course Plan

1주 : The meaning of probability
2주 : Axioms of Probability
3주 : Concept of a random variable
4주 : Functions of random variables
5주 : Functions of random variables
6주 : Moments
7주 : Random sequences
8주 : 중간고사9
주 : Concept of a random process
10주 : Properties of random process
11주 : Properties of random process
12주 : Basic applications
13주 : Spectral representation
14주 : Basic estimation theory
15주 : Entropy16주 : 기말고사, 프로젝트 발표

9. Course Operation

10. How to Teach & Remark

11. Supports for Students with a Disability

- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.

- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.

- Please contact Center for Students with Disabilities (279-2434) for additional assistance