Teaching

Instructor on data quality control and machine learning (Univ. of Michigan)

(1) UM School of Information Master of Applied Data Science Program (Fall 2022; online): Lecturer of Supervised Learning (MADS 542), Unsupervised Learning (MADS 543), and Social Media Analytics (MADS 682)

(2) Total Data Quality (A Coursera certification program of 3 courses over 12 weeks; launched in May 2022): Co-instructor; developed lectures, quizzes, and python packages to instruct data cleaning and machine-learning-based imputation

(3) Responsive Survey Design Program Summer Course (June 2020~2022): Co-instructor of the Total Data Quality course

(4) Fundamentals of Survey and Data Science (SURV600; Fall 2022): Co-instructor on data pre-processing and imputation

(5) Applications of Statistical Modeling (SURV615; Fall 2020): Guest instructor on machine learning application, and algorithmic biases

Graduate instructor (Univ. of Illinois)

Social Media Analytics (LIS590SML; real-time online course; 2017 Summer & 2016 Fall semesters) – newly developed by Jinseok Kim to instruct graduate students in the use of text and network mining techniques for testing social science theories on Facebook, Twitter, and Yelp data.

Teaching assistant (Univ. of Illinois)

Social Computing (LIS590SF; 2016 Spring)

Guest Instructor on collecting, analyzing, and visualizing network and text data:

(1) U. of Illinois courses: Digital Humanities (LIS590DH; 2013, 2014), Information Networks (LIS590IN; 2013), Social Computing (LIS590SF; 2012), and Network Analysis (LIS590NA; 2012~2015)

(2) Conference workshops: Daegu-Gyeongbuk Int’l Social Network Conference (Daegu, Korea; 2014) and Int’l Network for Social Network Analysis (Saint Pete, FL; 2014)