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Syllabus

orange-ball.gif Course Title:

EECE (589) 695H Introduction to Optimization (Spring 2017)

offered by Dept. of Electronic and Electrical Eng, Pohang University of Science and Technology.

orange-ball.gif Class Meetings:

MW 2:00pm - 3:15 pm at LG 104

orange-ball.gif Instructor: Professor Joon Ho Cho

Office) LG 409

Phone) +82-54-279-2377

E-mail) jcho at postech dot ac dot kr

Office Hours: by appointment 

orange-ball.gif TAs:

J. H. Choi

Office) LG 418

Phone) +82-54-279-8017

E-mail)  cjh0110 (at) postech.ac.kr

 

orange-ball.gif Homepage: https://cisl.postech.ac.kr/class/eece589/index.htm

  1.  It is your responsibility to check every new announcement posted in the homepage. 
  2. For your convenience, every class meeting will be recorded and uploaded on the course web page. In addition, a review video clip will be provided for every class.
  3. It is strongly recommended to watch the reviews before your attending the class meetings.

orange-ball.gif 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

 

orange-ball.gif References:

Stephen Boyd and Lieven Vandenberghe, Convex Optimization. Cambridge University Press

orange-ball.gif Course Objectives:  

  1. To learn basic concepts in Optimization Theory
  2. To learn how to formulate and
  3. tackle optimization problems in communications and control.

orange-ball.gif Course Outline

1.      Mathematical Review

2.      Unconstrained Optimization

3.      Linear Programming

4.      Nonlinear Constrained Optimization

orange-ball.gif Prerequisites:

  1. Calculus
  2. Linear Algebra

orange-ball.gif Course Requirements:

1. 1st Midterm exam (TBD, 7:30-12pm, LG 104, Lec. 1-14

15 %

2. 2nd Midterm exam (TBD, 7:30-12pm, LG 104, Lec. 1-25

20 %

3. Final exam (TBD, 7:30-12pm, LG 104, Lec. 1-30

35 %

4. Homework 

25 %

5. Participation

5 %

100 %

In each exam, a student is allowed to bring an A4-size crib sheet written on both sides.  

Course participation is graded subjectively by the instructor based on the class absences, active participation in discussions, office hour visiting, voluntary projects, etc.

orange-ball.gif Grading Policies for Homework 

1.      Scores will be normalized to assure proper weighting for each assignment. 

2.      Re-grade requests must be filed in writing within one week after the graded homework has been returned to students.

3.      Only 30% of assigned problems per each assignment will be graded. 

4.      Each sub-problem will be graded according to the following scale: 100%, 60%, 20%, and 0%. So, you had better have a complete solution than an incomplete solution.

orange-ball.gif Grading Policies for Exam 

1.      Students may take exams earlier than the original schedule if he/she requests at least one week earlier. 

2.      Excused class absence on an exam day may lead to a make-up exam for the absentee.

3.      Re-grade requests must be filed in writing within one week after the graded exam has been returned to students.

4.      Each sub-problem will be graded according to the following scale: 100%, 60%, 20%, and 0%. So, you had better have a complete solution than an incomplete solution.

orange-ball.gif Policy on Academic Dishonesty

If the instructor suspects academic dishonesty, the instructor will notify the student(s) and follow the procedure to report to the Graduate School without any exception. Students have the responsibility to be knowledgeable about the consequences of dishonesty. 

03/13/17