@ Yonsei Univ.

• Instructor, Department of Applied Statistics
  
  

  • Undergraduate-Level Courses

  • Information Theory for Data Science (STA4122)
    Intersection of information theory, machine learning, and data science

  • Introduction to Optimization for Data Science (STA4123)
    Intersection of optimization and data science

  • Statistical Methods (STA2105)
    Basic concepts and methods for statistics
    
    

  • Graduate-Level Courses

  • Recent Advances in Large-scale Machine Learning (STA9078)
    Introduce academic papers published in recent 5 years, which handles the theory and practice of large-scale machine learning

  • Recent Advances in Theoretical Machine Learning (STA9081)
    Introduce academic papers published in recent years, which handles the topics in theoretical machine learning

  • Advanced Deep Learning Theory (STA9200)
    Trilogy of Theoretical Understanding of Deep Learning: Approximation,  Optimization, and Generalization
    
    

@ 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)