Education

Undergraduate Courses

This course will introduce the hydrologic circulation as a field in Earth Science and examine the engineering techniques to solve various hydrologic problems. It deals with the physical theories, measurement methods and data analysis techniques for precipitation, evapotranspiration, infiltration, groundwater, and runoff processes. It will also cover statistical techniques such as flood frequency analysis and hydrologic design methods.

The course provides an introduction to basic and applied theories in statistics and probability with examples drawn from civil and environmental engineering. Specific topics include preliminary data analysis, basic probability concepts, random variables, probability distributions, parameter estimation, regression analysis, frequency analysis, risk analysis.

The objective of this course is to cultivate the leadership, teamwork, and engineer’s ethics for the successful career as a leader after graduating the university. The first half of this course is concentrated on the engineer leadership program. This course will focus on the cultivation of capability for communication, technical writing and presentation, and complication management through discussion, presentation, field experiences. In the latter part of the course, engineer’s ethics is treated: ethical problems in engineering, case study, construction site visits are provided to cultivate the engineer’s ethics.

Civil & environmental engineering is one of the areas that are the most affected by climate change of the global warming. This course introduces the climate change preparation techniques such as projection, mitigation, and adaptation and then focuses on the impact assessments and the future adaptation techniques that are necessary to the civil & environmental industries such as water resources, coastal, ecology, transportation, disaster prevention, and urban planning.

Graduate Courses

교과목명
설명
Statistical Hydrology
The hydrologic cycle consisting of precipitation, evaporation, and runoff is a typical nature example of uncertainty, which made hydrology use various statistical and probabilistic theories several hundreds years ago. The course introduces basic and applied theories of statistics and probability with hydrologic data. Some advanced techniques employed in hydrology such as L-moment, extreme distributions, regional flood frequency analysis, time series forecasting and simulation are dealt in details.
Advanced Hydrology
This course examines advanced theories of hydrologic processes and analysis techniques, focusing on surface water. It covers various statistical and probabilistic methods in hydrology. The course also addresses some advanced topics such as the unit hydrograph theory and rainfall-runoff models. Students learn the recent hydrologic issues such as the climate change in the last part of this course.
Disaster & Risk Management
Course develops a working knowledge of disaster and risk terminologies and analytical tools used for quantifying environmental, technological, and social risk issues. Engineering technical methods include event trees, fault trees, network reliability, Poisson models for accident/failure arrivals, Gaussian Plume models of air pollutants, and non-parametric statistical analyses of accident data. Case studies cover various disasters such as flood, drought, environmental and health risk issues, earthquake, and traffic accidents. Discussions consider disasters and risk in modern life, model limitations, interpretation and presentation of statistical results, sensitivity analysis, and risk communication.
Physical Hydrology
The course handles each component of the hydrologic cycle such as precipitation, evapotranspiration, infiltration, runoff, groundwater using earth science theory and covers engineering techniques such as unit hydrograph, hydrologic design theory. Students learn some recent issues in hydrology including climate change, radar, GIS.
Water Resources Systems Engineering
This course introduces water resources engineering. Specific topics will include rainfall-runoff and stochastic models, optimization, planning and management of water resources systems.