Announcements Syllabus Schedule/Downloads
Syllabus for Fall 2021
Course Title:
EECE 695H Introduction to Optimization (3-0-3)
Instructor:
Professor Joon Ho Cho Office) LG 409
Phone) 054-279-2377
E-mail) jcho at postech dot ac dot kr
TAs:
|
J. H. Chae |
|
Office)
LG 418 |
|
Phone)
+82-54-279-8017 |
|
E-mail) wngml1308 at postech dot ac
dot kr |
Class
Meetings:
- This is a flipped-learning course. It is your responsibility to study the pre-recorded lectures before you come to the help session.
- (Pre-recorded) lectures are in English, but (post-recorded) help sessions are in Korean.
- WebEx-Live help sessions on TTh 11:00am - 12:15 pm.
- Open-everything quizzes and exams will also be in the form of WebEx-Live.
Internet resources:
- To
download course materials, go to
http://cisl.postech.ac.kr/class/eece695h/schedule.htm.
- Passwords are one, two, etc.
- To see
announcements and upload homework, go to
EECE695H on
PLMS.
- It is your responsibility to check every new announcement posted in the homepage.
- To watch
pre-recorded classes meetings, go to the playlist of the
CISL channel on YouTube and select
EECE695H.
- It is required to watch the lecture videos before you attend the class meetings.
- To watch
post-recorded help sessions, go to the playlist of the
CISL channel on YouTube and select
EECE695H
(21-2).
- It is required to attend the help sessions.
Text:
Edwin K. P. Chong and Stanislaw H. Żak, An Introduction to Optimization, Fourth Edition. Wiley-Interscience Series in Discrete Mathematics and Optimization, John Wiley & Sons, Inc. New York, ISBN: 978-1-1182-7901-4
References:
Stephen Boyd and Lieven Vandenberghe, Convex Optimization. Cambridge University Press
C. C. Aggarwal, Linear Algebra and Optimization for Machine Learning, https://link.springer.com/content/pdf/10.1007%2F978-3-030-40344-7.pdf
A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth, Mathematics for Machine Learning, https://mml-book.github.io/book/mml-book.pdf
Course
Objectives: