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Syllabus

Infomation of Course

Program Master/Doctorate [석/박사과정] Course Type Elective(Graduate) [ 선택(석/박사) ]
Course Code 43.634 Course No GCT634
Section English English
L:L:C(AU) 3:0:3.0(0) Exam time
(classroom)
- Wed: 13:00~15:45
()
Course Title Musical Applications of Machine Learning [ 머신러닝의 음악적 응용 ]
Class time
(classroom)
Mon: 14:30~16:00 / (N25)Dept. of Industrial Design Bldg. [ (N25)산업디자인학과동 ] (3229호)
Wed: 14:30~16:00 / (N25)Dept. of Industrial Design Bldg. [ (N25)산업디자인학과동 ] (3229호)
Notice 하이브리드, 실시간 온라인 중 상황에 따라 변동

Information of Professor

Name 남주한(Nam, Juhan)
Department 문화기술대학원(Graduate School of Culture Technology)
Phone 042-350-2926
E-Mail juhan.nam@kaist.ac.kr

Education4.0 Q

Teaching Style Lecture 100%
Education4.0 Q N

Plan of Lecture

Syllabus File gct634 syllabus 2022 fall.pdf
Syllabus URL
Summary of Lecture
Material for Teaching
Evaluation Criteria * The followings evaluation criteria may change:
A. Attendance: % B. Midterm exam: % C. Final exam: % D.Quiz: %
E. Report: % F. Assignments: 50 % G. Project: 50 % H.Presentation: %
* Limitations on course retaking, if any:
Lecture Schedule
Memo