Teaching
Teaching Assistant at Seoul National University
- Basic Concepts and Applications of Probability (Spring 2018)
- Course for statistics majors focusing on probability theory and various probability models, random variables, sequences, Markov chains, and Poisson processes.
- Wrote homework problems, held office hours, and graded homework and exams.
- Mathematical Statistics 2 (Fall 2018)
- Major core course to provide a deeper understanding of limit distributions, statistical estimation, and statistical inferences.
- Held office hours and graded homework and exams.
- Mathematical Statistics 1 (Spring 2019)
- Major core course to focus on conditional probability, stochastic independence, and the distributions of random variables.
- Held office hours and graded homework and exams.
- The World of Uncertainty and Statistics (Fall 2019)
- Freshman course to introduce statistics for students with non-statistics major.
- Held office hours and graded homework and exams.
- Statistical Theory 1 (Spring 2020)
- Graduate-level course on statistical theory.
- Wrote homework problems, held office hours, and graded homework and exams.
- Concepts and Practices in Statistics (Fall 2020)
- Freshman course to introduce statistics.
- Wrote homework problems, held office hours, and graded homework and exams.
- Sequential Decision Making and its Applications (Spring 2021, Spring 2022, Fall 2022)
- Graduate-level course on statistical learning and multi-armed bandit algorithms.
- Wrote homework problems, held office hours, graded homework and exams, and conducted Python recitations for machine learning and multi-armed bandit in English.
- Deep Learning: A Statistical Perspective (Fall 2021)
- Graduate-level course on deep learning.
- Held office hours, graded homework and exams, and conducted Python recitations for deep learning in English.
