I won the teaching award in 2023.
Please check the students' detailed comments on my course here.
@ Yonsei Univ.
Instructor, Department of Applied Statistics
Information Theory for Data Science (STA4122)
Undergraduate course on the intersection of information theory, machine learning, and data science
Evaluation: 4.77 (Spring 2023)Recent Advances in Large-scale Machine Learning (STA9078)
Graduate course introducing academic papers published in recent 5 years, which handles the theory and practice of large-scale machine learning
Evaluation: 4.87 (Spring 2023), 4.6 (Spring 2024)Introduction to Optimization for Data Science (STA4123)
Undergraduate course on the intersection of optimization and data science
Evaluation: 4.47 (Fall 2023)Recent Advances in Theoretical Machine Learning (STA9081)
Graduate course introducing academic papers published in recent years, which handles the topics in theoretical machine learning
Evaluation: 4.62 (Fall 2023)Statistical Methods (STA2105)
Undergraduate course on basic concepts and methods for statistics
Evaluation: 4.41 (Spring 2024)
@ KAIST
Teaching Assistant (TA), School of Electrical Engineering (EE)
Introduction to AI in Seongnam-KAIST next-generation ICT research center (Fall 2020)
EE485 My Life and Career in EE (abbrv. MyEE) - Head TA (Spring/Fall 2017)
Served as head TA for a course of 180 students.
I organized a new undergraduate course which provides useful information on the career (academy, industry, start-up, and etc.) for students in school of electrical engineering.
The program of the course includes field-trips to SW/HW industries, tea-time with professors and the lectures of senior researchers.
EE321 Communications Engineering (Fall 2015, Spring 2016)
Served as head TA for a course of 50 students. Led a weekly discussion session, and managed homeworks and quizzes.
Tutor for undergraduate/graduate students
EE528 Random Processes (Spring 2019)
EE202 Signals and Systems (Spring 2015, Spring 2016)
EE102 Calculus II (Fall 2014)