Teaching

2024

  • [Undergraduate] MIST 4600: Computer Programming in Business (Spring, UGA)

2023

  • [Undergraduate] MIST 5730 Advanced Data Management and Analytics (Fall, UGA)

  • [Undergraduate] ISM 425: Business Analytics (Spring, UNCG)

2022

  • [Graduate] ISM 760: Contemporary Research Methods in Information Systems (Fall, UNCG)

  • [Undergraduate] ISM 218: Database Systems (Spring/Fall, UNCG, USA)

2021

  • [Graduate] ISM 645: Principles of Predictive Analytics (Fall, UNCG)

  • [Undergraduate] ISM 218: Database Systems (Spring, UNCG)

2020

  • [Graduate] ISM 645: Principles of Predictive Analytics (Fall, UNCG)

  • [Undergraduate] ISM 218: Database Systems (Spring, UNCG)

2019

  • [Graduate] ISM 645: Principles of Predictive Analytics (Fall, UNCG)

  • [Undergraduate] MGT0044: Decision Support Systems (Spring, Hansung University, Korea)

Causal Inference/Research Methodology Workshops

Initiated and organized the workshops

  • Korea Summer Workshop on Causal Inference 2023 (Summer 2023, Online)
    • Online lectures on causal inference methods
    • Website
  • Korea Summer Workshop on Causal Inference 2022 (Summer 2022, Online)
    • Online seminar series to present research and best practices for causal inference
    • Website
  • Korea Summer Session on Causal Inference 2021 (Summer 2021, Online)
    • Online seminar series to introduce research methodologies and data analytical approaches in pursuit of causal inference
    • Website
  • Social Science of COVID-19: From the Perspective of Causal Inference (Summer 2020, Online)
    • Online sessions to review empirical studies on COVID-19 with a particular focus on causal inference
    • Website
  • MIS Summer Session 2019 - Experimental Empirical Methods (Summer 2019, KAIST)
    • Non-credit session for PhD/MS students
    • Website
  • MIS Summer Session 2018 - Research Design for Data Analytics (Summer 2018, KAIST)
  • MIS Summer Session 2017 - Introduction to Economics of IS and Research Methodology (Summer 2017, KAIST)
    • Non-credit session for PhD/MS students
    • Website