2019
- [Graduate] ISM 645: Principles of Predictive Analytics (Fall, UNCG, USA)
- Focusing on Data Analytics with R
- Required for BA concentration of MS in Information Technology and Management
- [Non-Credit] MIS Summer Session 2019 - Experimental Empirical Methods (Summer, KAIST, Korea)
- Non-credit session for PhD/MS students (Enrollment 29)
- Organized, developed, and instructed
- Session website
- [Undergraduate] MGT0044: Decision Support Systems (Spring, Hansung University, Korea)
- Focusing on Data Analytics with R
- Elective for MIS concentration (Enrollment 28; Evaluation 4.76/5.0)
2018
- [Non-Credit] MIS Summer Session 2018 - Research Design for Data Analytics (Summer, KAIST, Korea)
- Non-credit session for PhD/MS students (Enrollment 57)
- Organized, developed, and instructed the technical session covering from econometrics to machine learning
- 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
2017
- [Non-Credit] MIS Summer Session 2017 - Introduction to Economics of IS and Research Methodology (Summer, KAIST, Korea)
- Non-credit session for PhD/MS students (Enrollment 32)
- Organized, developed, and instructed
- Session website
