Course Description
This course provides a broad introduction to key research areas and modern techniques in AI computing. It is organized into five two-week modules taught by five faculty members, with each module reflecting the instructor's area of expertise.
In each module, students complete a hands-on mini-project that applies concepts from the lectures. Through these topics and mini-projects, students will develop a broad perspective on modern AI and gain practical experience applying AI techniques.
Instructors
-
Uichin Lee
TA: Somin Park
somin@iclab.kaist.ac.kr -
Minhyuk Sung
TA: Yunjae Jeong
frogjj@kaist.ac.kr -
Sungjin Ahn
TA: Hosung Lee
hslee@kaist.ac.kr -
Seunghoon Hong
TA: Yeonwoo Cha
ckdusdn03@kaist.ac.kr -
Joyce Jiyoung Whang
TA: Chanyoung Chung
chanyoung.chung@kaist.ac.kr
Evaluation
Five Mini-Projects, 20% each
Attendance is required. Students with more than two unexcused absences will receive a failing grade (F).
Schedule
Subject to change
| Week | Date | Location | Session | Instructor | TA | Topics |
|---|---|---|---|---|---|---|
| 1 | E3-1 Room 1104 |
Lecture 1 | Minhyuk Sung | Yunjae Jeong | Introduction to Generative Modeling; Fundamentals of Generative Modeling | |
| 2 | E3-1 Room 1104 |
Lecture 2 | Minhyuk Sung | Yunjae Jeong | Challenges in Generative Modeling; Mini-Project Presentation | |
| 3 | No Class | Course Break | ||||
| 4 | No Class | Chuseok Holiday | ||||
| 5 | E3-1 Room 1104 |
Lecture 3 | Seunghoon Hong | Yeonwoo Cha | Introduction to Computer Vision; Learning to Understand Pixels I | |
| 6 | E3-1 Room 1104 |
Lecture 4 | Seunghoon Hong | Yeonwoo Cha | Learning to Understand Pixels II; Mini-Project Presentation | |
| 7 | No Class | Course Break | ||||
| 8 | No Class | Midterm Week | ||||
| 9 | N1 Room 201 |
Lecture 5 | Joyce Jiyoung Whang | Chanyoung Chung | Graph Machine Learning and Large Language Models; Knowledge Graph Question Answering | |
| 10 | N1 Room 201 |
Lecture 6 | Joyce Jiyoung Whang | Chanyoung Chung | Graph Neural Networks and Knowledge Graph Representation Learning; Mini-Project Presentation | |
| 11 | E3-1 Room 1104 |
Lecture 7 | Sungjin Ahn | Hosung Lee | Introduction to Reinforcement Learning; Learning from Rewards | |
| 12 | E3-1 Room 1104 |
Lecture 8 | Sungjin Ahn | Hosung Lee | Decision-Making in Reinforcement Learning; Mini-Project Presentation | |
| 13 | No Class | Undergraduate Admissions Interviews | ||||
| 14 | N1 Room 201 |
Lecture 9 | Uichin Lee | Somin Park | Human-Computer Interaction and Human-AI Interaction; Human-AI Interaction | |
| 15 | N1 Room 201 |
Lecture 10 | Uichin Lee | Somin Park | Responsible AI and Ethics; Mini-Project Presentation | |
| 16 | No Class | Final Exam Week |