Teaching

2020

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

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

    • Face-to-Face Section: Enrollment 40; Evaluation 4.44/5.0
    • Online Section: Enrollment 58; Evaluation 3.60/5.0

2019

  • [Graduate] ISM 645: Principles of Predictive Analytics (Fall, UNCG, USA)
    • Focusing on Data Analytics with R
    • Face-to-Face Section: Enrollment 53; Evaluation 4.42/5.0
    • Online Section: Enrollment 54; Evaluation 3.97/5.0
  • [Undergraduate] MGT0044: Decision Support Systems (Spring, Hansung University, Korea)
    • Focusing on Data Analytics with R
    • Enrollment 28; Evaluation 4.76/5.0

Special Sessions on Research Methodology

  • Social Science of COVID-19: From the Perspective of Causal Inference (2020 Summer, Korea)
    • Open online session to review empirical studies on COVID-19 with a particular focus on causal inference
      • Delivered in Korean
    • Session website
  • MIS Summer Session 2019 - Experimental Empirical Methods (2019 Summer, KAIST, Korea)
  • MIS Summer Session 2018 - Research Design for Data Analytics (2018 Summer, KAIST, Korea)
    • Non-credit session for PhD/MS students (Enrollment 57)
    • Module 1: (lecture) Research Design for Data Analytics (8 classes, 4 weeks)
    • Module 2: (hands-on) Causal Inference with STATA (4 classes, 2 weeks)
    • Module 3: (hands-on) Deep Learning with PyTorch (8 classes, 4 weeks)
    • Session website / GitHub for hands-on codes
  • MIS Summer Session 2017 - Introduction to Economics of IS and Research Methodology (2017 Summer, KAIST, Korea)