지구환경도시건설공학과

The goal of this course is to gain a fundamental understanding of microorganisms and their roles in wastewater environments.

Basic concepts and chemical principles of water chemistry will be introduced, emphasizing the application of these principles to solve specific chemical problems in aqueous environments, pollution control, and purification technology.

This course covers two major areas: (1) various surface chemistry topics including hydrous oxide-water interfaces, electric double layer theory, adsorption mechanisms, and particle-particle interactions, and (2) colloid hydrodynamics including basic equations of motion and the motion of single and two interacting colloids in water.

This course aims to provide students with fundamental knowledge of bioprocess operation and control, with particular emphasis on environmental treatment systems. Different biokinetic models and their applications in process control are discussed.

This course introduces advanced technologies for water quality modeling in two different ways: statistical and deterministic. In the statistical approach, we will explore many different modeling tools for analyzing and predicting water quality data. In the deterministic approach, we will study sensitivity analysis (GSA) to better understand the relationship between parameters and model behavior.

This course provides basic concepts and principles of advanced oxidation technologies for environmental remediation, including ozonation, Fenton systems, and photocatalytic processes.

This course covers the fundamental principles of membrane technology with a focus on microfiltration, ultrafiltration, nanofiltration, and reverse osmosis. Emphasis is placed on polymer chemistry, synthesis, modification, characterization, and degradation of membranes, as well as their application to solving problems in aquatic systems.

This course introduces applications of biotechnology and molecular techniques in environmental engineering, with particular emphasis on biological pollutant removal processes.

In this class, we will examine the causes of environmental pollution in the areas of water, atmosphere, waste, noise, and vibration, focusing on impacts, prevention measures, and comprehensive management plans for the prevention of environmental pollution.

In this class, we will examine the causes of environmental pollution in the areas of water, atmosphere, waste, noise, and vibration, focusing on impacts, prevention measures, and comprehensive management plans for the prevention of environmental pollution.

In this class, we will examine the causes of environmental pollution in the areas of water, atmosphere, waste, noise, and vibration, focusing on impacts, prevention measures, and comprehensive management plans for the prevention of environmental pollution.

We study current topics in Earth and Environmental Sciences and Engineering.

The purpose of this course is to extend knowledge of state-of-the-art R&D in real scientific fields and to provide indirect experience through contact with experts in various fields. Students and professors can exchange ideas and information to achieve creative and refined outcomes through seminars.

This course introduces sampling, pretreatment, and instrumental analysis for organic pollutants and heavy metals. The main contents include pollutant transport, water analysis (major and trace constituents), analysis of solids and waste, atmospheric analysis (gases and particulates), and ultra-trace analysis.

The course covers the fundamentals of geophysical fluid dynamics and consists of five topics. We first provide a brief introduction to fluid dynamics and the basic equations of motion. Then, the effects of stratification and rotation are introduced to discuss fundamental topics such as the primitive equations and the Boussinesq equations. We also introduce the shallow water equations, which form the simplest expression of many principles of geophysical fluid dynamics. We then discuss vorticity and potential vorticity. Finally, we derive simplified equation sets for large-scale flows, such as the quasi-geostrophic equations.

This course introduces the principles and types of mass spectrometry, which has been widely used for trace-level analysis of organic pollutants. Interpretation of mass spectra and applications to dioxin analysis will also be introduced.

Atmospheric motion in the tropics is distinguished from that in the extratropics in both physical and dynamical aspects. The course includes the observed characteristics of the tropical atmosphere, characteristics of tropical dynamics, tropical waves, and thermodynamic aspects of the tropical atmosphere. The lecture is followed by tropical phenomena such as El Nino-Southern Oscillation, Intraseasonal Oscillation, monsoon, and tropical cyclones. This course is intended for early graduate or undergraduate students.

This course presents the basic understanding and concepts of gas hydrates and their impacts on climate change. It also covers the exploration and production of natural gas hydrates, gas hydrate-based carbon dioxide capture and storage methods, and other novel technologies related to gas hydrates.

The course is composed of two main topics: (i) instabilities and wave-mean flow interaction, and (ii) large-scale atmospheric circulation. In the first half, we cover barotropic and baroclinic instability and how waves and instabilities affect the mean flow in which they propagate. In the second half, we are mostly concerned with the dynamics of the Hadley and Ferrel cells and mid-latitude circulation.

This course focuses on multimedia sampling, extraction, cleanup, and instrumental analysis for environmental monitoring of organic pollutants.

This course presents general information about air pollution and its control, and also covers the design procedures for various air pollution control systems.

Global climate models have been extensively used for medium-range weather forecasts, seasonal prediction, global atmospheric and oceanic reanalyses, and climate change prediction due to increased greenhouse gases. This course introduces state-of-the-art modeling technologies used to construct such models, including numerical approximations for the dynamical part and representations of physical processes related to sub-grid scale radiation, condensation, boundary-layer turbulence, and land-surface treatment. Students will experiment with and produce actual simulation outputs by testing a publicly available community model.

This course investigates diverse applications of remote sensing as well as advanced digital image processing techniques for each application. It covers various remote sensing systems (e.g. hyperspectral and LiDAR), their applications (e.g. vegetation and water), and advanced digital image processing techniques (e.g. object-based, texture-based, and machine learning methods). Several interactive digital image processing systems (e.g. ENVI, ERDAS IMAGINE, ArcGIS, and/or MATLAB) are used by students to analyze satellite and airborne remotely sensed image data.

This is an introductory-to-intermediate-level course on artificial intelligence focusing on machine learning, targeted toward graduate students with a background in remote sensing. The goal of this course is highly practical, providing hands-on knowledge of both basic and recent artificial intelligence models so that students can use them to solve real-world problems, especially in remote sensing. The course consists of a series of lectures and labs. Students may also conduct individual or group projects depending on class size and background.

This course introduces the overall theory of radiative transfer in the Earth's surface and atmosphere. It also aims to help students understand remote sensing techniques with respect to observed wavelengths by understanding the principles of radiative transfer models. After learning the radiative theory, students practice radiative transfer model simulations for their own research purposes.

We study current topics in Earth and Environmental Sciences.

We study current topics in Earth and Environmental Sciences.

We study current topics in Earth and Environmental Sciences.

This course is intended to introduce recent technologies for carbon dioxide capture and storage that have been developed, and are being developed, to mitigate global warming.

The purpose of this course is to extend knowledge of state-of-the-art R&D in real scientific fields and to provide indirect experience through contact with experts in various fields. Students and professors can exchange their own ideas and information to achieve creative and refined outcomes through seminars.

This course is concerned with the idealization of continuous materials, which may be solids or fluids. In lectures, we deal with tensor expressions, the definitions of stress and strain in three-dimensional space, and the development of constitutive equations.

The dynamic response of structures and structural components to transient loads and ground excitations is discussed for single- and multi-degree-of-freedom systems, including response spectrum concepts, simple inelastic structural systems, systems with distributed mass and flexibility, and the fundamentals of experimental structural dynamics.

The course topics include the behavior, design, and assessment of indeterminate reinforced concrete and steel structures subjected to gravity, wind, seismic, and blast loads. Primary emphasis is given to the introduction of available design methods for two-way slab systems and the earthquake-resistant design of beam-column frames, slab-column frames, and shear walls.

Portland cement concrete is a highly economical and versatile construction material; however, the manufacture of Portland cement is responsible for at least 5-8% of total worldwide man-made CO2 emissions because one ton of Portland cement production generates 0.9 tons of CO2. The development of new alternative binders with extremely low carbon emissions to replace Portland cement in concrete production has become an urgent goal in academia and industry to build a sustainable future urban society. This course presents state-of-the-art technology and research methodologies in low-carbon concrete.

This course covers quantitative analysis of data used in urban planning research, with particular emphasis on inferential statistics through multinomial regression, forecasting, categorical data analysis, and spatial data analysis.

The topics of this course include the theory and application of finite element methods, stiffness matrices for triangular, quadrilateral, and isoparametric elements, two- and three-dimensional elements, algorithms necessary for assembly and solution, direct stress and plate bending problems under static, nonlinear buckling, and dynamic load conditions, as well as displacement, hybrid, and mixed formulations.

This course examines urban design theory and principles and evaluates the built environment in a studio-based setting. Working in teams, students become immersed in real-world examples and propose design interventions for specific places, including socially diverse neighborhoods in small cities and major metropolitan urban centers.

This course covers the basics of graduate-level applied mathematics for students majoring in engineering. Topics include complex variables, integral transformations, and partial differential equations.

This course is devoted to the mechanics of anisotropic solids with applications to composite materials in civil engineering. One half of the course focuses on the study of composite material structures based on three-dimensional elasticity analysis. The other part is concerned with the mechanics of fiber-reinforced brittle matrices and the implications for cement-based systems.

Concrete structures are full of cracks. Their failure involves stable growth of large cracking zones and the formation of large fractures before the maximum load is reached. This course reviews the mechanisms and analytical techniques of cracking, including fracture mechanics of concrete and nonlinear mechanics of reinforced concrete.

Creep refers to long-term deformation, usually over several years in the case of concrete, when a material is under constant load. Even within a short time, a large amount of creep is observed at the early age of concrete, which sometimes causes problems in the construction of high-rise buildings and piers. During this period, shrinkage accompanies creep and affects the dimensional stability of early-age concrete. Thermal deformation due to heat of hydration and heat transfer is also an important time-dependent property to be considered for the safety and serviceability of concrete structures.

This course examines the role of housing in urban planning, the supply and demand of the housing market, and the analysis of public policies for housing as they affect specific consumer groups such as the poor, the elderly, and minorities.

This course introduces new research topics in urban infrastructure engineering.

This course introduces new research topics in urban infrastructure engineering.

This course introduces new research topics in urban infrastructure engineering.

This course covers two promising structural concretes: fiber-reinforced concrete (FRC) and geopolymer concrete. It discusses various topics related to these two materials, ranging from practical aspects for commercial use to in-depth research topics. All students are required to perform experimental research on these materials using characterization techniques such as X-ray diffraction and scanning electron microscopy (SEM), and to submit research term papers at the end of the quarter.

This course analyzes how the economic, social, and physical conditions of central cities can be improved through large-scale urban planning efforts. Students will understand the process of neighborhood revitalization and the main planning issues involved in that process.

This course examines the logic of planning as a professional activity and the construction of methodologies for evaluating various planning theories. It provides a critical overview of current process theories, leading students to develop a personal philosophy applicable to their work as planners.

This course examines the logic of planning as a professional activity and the construction of methodologies for evaluating various planning theories. It provides a critical overview of current process theories, leading students to develop a personal philosophy applicable to their work as planners.

The aim of this course is to offer a comprehensive review of reliability analysis methods and their applications to civil and structural engineering problems. In this course, students will learn several probabilistic approaches for structural reliability assessment, including first- and second-order reliability methods, system reliability methods, and sampling-based methods. As a final project, each student will be asked to model his or her own structural reliability problem and solve it using one of the reliability analysis methods covered in this course.

This course introduces the basic concepts of numerical modeling for weather prediction and provides students with the relevant numerical methods (e.g., grid and spectral methods). In addition, students study how to apply numerical methods to practical research such as weather forecasting.

This course focuses on the interaction between climate and air pollution. In particular, students will study the impact of air pollution on climate adaptation and mitigation through co-benefit and trade-off effects.

This course introduces fundamental concepts of earthquake engineering related to geotechnical problems, including the principles of earthquakes, wave propagation, dynamic soil properties, liquefaction, and the seismic design of various geotechnical structures. The course begins with an introduction to seismology and tectonics, and continues with discussion of deterministic and probabilistic seismic hazard analyses, as well as site response analysis. In addition, the responses of various geotechnical structures such as foundations, retaining structures, and slopes subjected to earthquake loading are discussed.

This course deals with the structure and evolution of Earth's continental crust. Topics include identifying and understanding geological structures, the basis and origins of plate tectonics theory, geological map interpretation, identifying various structures from maps, plotting structural data stereographically, stress and strain analysis, and deformation processes and rheology.

This course introduces geophysical techniques for investigating underground soil and rock conditions, such as multichannel analysis of surface waves (MASW), reflection and refraction tests, and electrical resistivity methods. In-situ tests including SPT, CPT, VST, and DMT are also discussed.

This course introduces the fundamental concepts of soil dynamics related to earthquakes, wave propagation, dynamic soil properties, ground motion prediction models, and ground response analyses. Upon successfully completing this course, students will be able to understand the principles of wave propagation and dynamic soil properties, generate target spectrum-compatible ground motions, perform site response analysis, and understand the role of soil deposits in modifying earthquake ground motion.

The first part of this course focuses on hazard analysis with emphasis on earthquakes. Students will learn the concepts necessary to understand, classify, and analyze earthquakes. The following concepts are presented: the nature, power, and source of an earthquake, wave propagation theory from the source to the site of interest, characterization of ground motion through different intensity measures, and Probabilistic Seismic Hazard Analysis (PSHA). The second part of this course involves earthquake design. The calculation of the demand and capacity of a structure subjected to earthquake loads is studied. The common foundations underlying each seismic design code are explained. Different analysis methods used to assess structural response are also covered, including the response spectrum method, pushover analysis, and nonlinear time-history analysis.

The goal of this course is to provide students with a basic understanding of business impact analysis within the framework of risk management theory. This general goal is pursued through the following themes.

This course presents the different methods used to estimate the vulnerability of individual components and the reliability of entire civil infrastructure systems, including distributed systems and complex systems. Examples of distributed systems are highway networks, power grids, and water distribution systems. Examples of complex systems are nuclear power plants, dams, and chemical plants. Special consideration is given to event tree analysis and fault tree analysis for complex systems, and Monte Carlo simulation for distributed systems.

This course provides students with Korean laws related to preventing, preparing for, responding to, and recovering from natural and social disasters. The course is designed to ensure that students gain a comprehensive understanding of the common features of, and differences among, the relevant laws in Korea. With this understanding, students will be able to critically analyze the laws and identify how current law and policy hinder or help people in Korea live with natural and social hazards.

This course reviews the theoretical assumptions and foundations of disaster management from the interpersonal, small-group, organizational, and societal levels.

This course covers the costs of natural and man-made disasters, the existing policy frameworks for mitigating these costs in the industrialized world, and the ways in which these policies might be adapted for the developing world.

The objective of this course is to understand the physical and dynamical characteristics of the atmospheric planetary boundary layer and the structure of local air circulation near the Earth's surface. Students will also learn how to apply micrometeorological knowledge to atmospheric environmental problems.

This course introduces new research topics in disaster management engineering.

This course introduces new research topics in disaster management engineering.

This course introduces new research topics in disaster management engineering.

This course provides students with advanced techniques in atmospheric numerical modeling such as objective analysis, data assimilation, physical parameterizations, and boundary condition improvement.

This course introduces probabilistic methods and applications for describing structural behavior under stochastic dynamic loads. Both time- and frequency-domain analyses for extracting meaningful information from random signals are discussed. Theoretical and computer-aided approaches for data processing and analysis are covered.