Course Resources (including syllabus)
YSCEC (yscec.yonsei.ac.kr)
Google Forum since 2021
Summary
This course is offered to graduate students in Department of Innovation. In this course, students will learn automation and optimization. The main goal of this course is for the students to understand the process and optimize the process using machine learning and evolutionary algorithms. In addition, students will learn inclusive AI involving ethical AI, moral AI, and safe AI.
Content
Robotic Process Automation
Process Engineering and Optimization
Machine Learning / Deep Learning
Evolutionary Algorithms
Advanced Topics
HOI
GNN
Helpful Book:
TBA
Helpful Courses in INV:
Quantitative Research Methodology
Business Intelligence
Deep Learning
Delivery
Online Classroom
Students will use a textbook and reference papers
Office hour
Location: Zoom meeting room
Time: TBA
Reservation is REQUIRED
A student who would like to participate in MUST fill out a form that TA provides, at least 24 hrs before the office hour.
* Form: TBA (Yonsei account only)
If a student who makes a reservation does no-show, the student will not have a chance to have another office hour during this semester.
When you contact me, use e-mail only please.
Grading Policy
The grade will be given by the following equation: (Class attendance ratio) × (7 Assignments+ Midterm exams + Final exam + Final paper)
7 assignments per every other week (70%; 10% per each)
NO LATE SUBMISSION
1 midterm exam (14%)
Short answers/essays
1 final exam (11%)
Short answers/essays
1 final report (5%)
Analyze an issue/argument
Reference papers will be given
*** NO LATE SUBMISSION ALLOWED
**** NO EXTRA CREDIT ALLOWED
Class Attendance (100% e-attendance-absence recording systems; attendance check in zoom meeting)
Any student who is absent greater than or equal to 1/3 class hours out of the REAL class hours will be given “F” grade. The class attendance ratio of a student is given by the student’s attending hours out of REAL class hours.
Only the following three conditions are considered for waiving each class attendance: 1) serious injury or disease with medical doctor’s official statement; 2) family mourning. Any misconduct will result in F.
Misconducts
(a) If you hire someone to do your homework or paper,
(b) If you share course materials including lecture notes, your grades, your homeworks and papers with others,
(c) If you are absent more than 1/3 of class hours,
you will get F and you will have to ask your academic adviser to write a letter that s/he knows your misconduct and give detailed advice to you.
Grade table: If your total score is in
[95, 100] A+
[90, 95) A0
[80, 90) A-
[75, 80) B+
[70, 75) B0
[60, 70) B-
[55, 60) C+
[50, 55) C0
[40, 50) C-
[0, 40) F
Lecturer(s)
Keeheon Lee (Assistant Professor of CTM, HASS, UIC)
Disclaimer