Teaching

My goals in teaching are to actively engage students in solving real-world problems using actual data within the classroom and to help them interact with real-world stakeholders and experts outside the classroom. Throughout my academic teaching career as a lecturer, co-instructor, and teaching assistant (TA), my primary focus has been to establish a connection between in-class lecture materials and real-world applications. 

   To this end, I aimed to balance classroom lectures, hands-on exercises with actual hydrologic data and coding, student-led projects, and field trips. To set up the field trips, I reached out to federal and city authorities responsible for reservoirs and flood control, including the Boryeong multi-purpose reservoir and conduit and the Han River Flood Control Office in Korea. During the field trips, students could participate in onsite lectures and Q&A sessions with experts and decision-makers. The main objective of these trips was to demonstrate how water resources are managed in practice, based on theoretical concepts learned in lectures. I believe the balanced course design, which included in-class lectures, hands-on exercises with actual hydrologic data, and field trips provided the students with a valuable opportunity for engagement.

• Fall 2022: Lecturer, 457.568 Statistical Hydrology, Seoul National University (syllabus)

  • Given the stress from various factors affecting human-Earth systems (e.g., climate, technological, socioeconomics, etc.), young STEM professionals should be equipped to innovate in systems planning and management approaches. Building on the legacy of systems research in water resources, this course introduces engineering economics, deterministic and stochastic simulation and optimization, evolutionary optimization, sensitivity and uncertainty analysis, and decision-making under deep uncertainty. Student projects challenge them to tackle real-world issues using the problem-solving skills learned in class.

• Spring 2022: Co-Instructor, 457.557 Water Resources Systems Engineering, Seoul National University (syllabus)

  • Hydrologic processes are subject to uncertainties from either natural or anthropogenic causes. This course enables students to deal with random hydrological variables with proper methods such as probabilistic modeling, extreme event analysis, regression models, and time series models. Both the assignments and the final project at the end of the semester challenge the students to tackle uncertainty in real-world hydrological data with statistical tools learned from class.

• Fall 2018 - Fall 2021: Teaching Assistant, Seoul National University
  Hydrology, Water Resources Systems Engineering, Statistical Hydrology, Disaster and Risk Management, Water Resources Engineering