수업(Class)
- 선택 / GS2472 / 기후변화 : 대응 및 적응 Climate change : action and adoption
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- Course Title
- Korean / 기후변화 : 대응 및 적응
- English / Climate Change : action and adaptation
- Course Outline
- Ever since the Paris agreement in 2015, every country around the world has started to deal with the current climate change vigorously in order to comply with the Paris agreement and to regulate environmental impacts that are about to return to themselves. However, most of Koreans still don't understand how the new climate regime can have impacts on them, or how to prepare for the climate change in the future. In this context, to stimulate students, this course is going to cover from the definition of climate change to promising 4th industrial revolution technologies which will be useful in the new climate regime. The current course is going to give us an opportunity to contemplate our future.
- Prerequisite
- Not required
- Textbook and References
- A book written by an instructor will be published in the end of June and the book will be designated as a textbook.
- A title of the book is 'Climate change - a new chance and challenge : the insight of a scientist who turns a risk into an opportunity'
Course Schedule(1~7th) |
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Order | Description | *Remarks |
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1st | Introduction and What is the Climate change? | - |
2nd | Actions on Climate change, Paris agreement | - |
3rd | Sustainable Development, Energy policy on Climate change | - |
4th | Policy for Carbon emission, Green Climate Fund, Public cognition about Climate change | - |
5th | Water technologies with Climate change | - |
6th | Water pollution, Conventional Energy: Nonrenewable Energy Sources | - |
7th | Atmospheric technologies and energy technologies with Climate change | - |
- Course Schedule (1~7th)
Course Schedule (8~16th) |
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Order | Description | *Remarks |
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8th | Midterm Exam | - |
9th | Coexistence with human and cyber, 4th industrial revolution, IoST and Hyper-connected society | - |
10th | Climate change and 4th industrial revolution : Robot industry and AI | - |
11th | Climate change and 4th industrial revolution : VR, Renewable Energy | - |
12th | Climate change and 4th industrial revolution : Health care, Drone | - |
13th | Smart cities : A resolution to climate change | - |
14th | Future technologies : Low carbon energy network | - |
15th | Future technologies : Monitiring and Estimation, Risk management | - |
16th | Final Exam | - |
- Course Schedule (8~16th)
- 선택 / GS2471 / 지구환경과학 Earth and Environmental Science
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- Course Outline
- This course aims for understanding the interactions among the living creatures on earth with their surroundings based on scientific issues and principles, developing capacity to conduct a project, and to write proposal. The approach of this course covers the basic concepts and possible solutions for sustainable living by providing a historical perspective and, information on economic and political realities. This class will draw the students' attention to the environmental impact on their daily lives as well as some of the fundamental background for other advanced courses. In this class, students can learn technical presentation and proposal writing through the project and proposal based learning.
- Prerequisite
- Not required
- Textbook and References
- The course instructor will inform you about class materials at the class
- Homework Policy
- There are reports for every class time during the first half semester (Until mid-term period). A report is composed of abstract, graphical abstract, summary, and questions or research points from each lecture note that will be distributed before a class time. Students have to study a lecture note with teammates and write report before come to class. After completing a report, one of team members presents the report at a classroom. Based on the report and presentation, an instructor and a teaching assistant assess whether students understood the key concepts of lecture notes or not. After mid-term period, students start conducting their own projects. Out of the questions (or research points) they had suggested during the first half semester, the most brilliant one gets chosen as a project topic by other teams and an instructor. Subsequently, the instructor and a teaching assistant help the students refine their own project topics and build their capacity to conduct them. The students continuously acquires feedbacks from the instructor and other students and end up with writing a proposal and give a final presentation in the final-term period.
- Teaching Philosophy
- The philosophy of this course is 5I-tive(Initiative, Innovative, Interactive, Integrative, Ignitive) learning for an educational evolution. 5I-tive learning is conducted by LBL(Lecture Based Learning), PBL(Problem Based Learning), PBL(Project Based Learning), and PBL(Proposal Based Learning). LBL(Lecture Based Learning) is self-directed learning of students by distributed the lecture notes before the class . PBL(Problem Based Learning) is a step to develop thinking and discussion ability through talking about recent social issues. PBL(Project and Proposal Based Learning) provides students chances that can write proposal and presentation. So students can learn a technical writing and ways to persuade stake-holder and customer logically. In this course, active team works and activeness in discussion sessions will be needed to enhance the efficiency of class between professor and students.
- Examinations
- No exam, All reports and presentations.
- Grading
- There are mid-term & final grade evaluations. The mid-term & final grade evaluations are conducted by team members, professor and teaching assistant. Team members evaluate other teammates and an instructor evaluates whole teams’ performances. And a teaching assistant evaluates student’s activeness in discussion. Using these scores, a total score of individual student is decided.
Weekly Course Schedule (1~7 weeks) |
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Week | Description | *Remarks |
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1st | Introduction : What is "Earth and Environmental Science"? | Pre-class : submission of summary report After-class : Distribution of prior learning materials for writing summary report and preparing next lecture |
2nd | Ecology, Population Sustainable development, Energy | - |
3rd | The Earth and its mineral resources: Soil and Land use, Hazardous and Solid Wastes management and disposal | - |
4th | Air pollution, Climate change | - |
5th | Toxicology and risk assessment, Technological development and Human | - |
6th | Water pollution, Conventional Energy: Nonrenewable Energy Sources | - |
7th | Sustainable development, Environmental Policy and Decision Making: Law, Government and Society | - |
- Weekly Course Schedules
Weekly Course Schedule (8~16 weeks) |
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Week | Description | *Remarks |
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8th | Midterm Team project : Concept design - Suggestion of best idea based on the reports which are written in lecture based learning - Whole class discussion for selection of the best idea - selection of the project subject |
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9th | Team project : Stake-holder role play 1 - Calculation of benefit cost ratio based on the pre research - Learning logical speaking skills - Persuading stake-holders and customers logically |
presentation and whole class discussion for feedback |
10th | Team project : Stake-holder role play 2 - Learning logical speaking skills - Persuading stake-holders and customers logically |
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11th | Team project : Building the analysis capacity - Project viability check and presentation - Product reasonability check |
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12th | Team project : Interim presentation - Interim presentation - Project originality and objective check |
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13th | Team project : Proposal writing - Proposal writing skill learning - Writing proposal based on the project |
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14th | Team project : Capacity building 1 - Technical presentation learning |
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15th | Team project : Capacity building 2 - preliminary presentation for final presentation |
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16th | Final presentation | - |
- 선택 / EV4215 / 지구과학 통계 Earth Science Statistics
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- Course Outline
- This course provide fundamental statistical theories and data mining techniques to analyze environmental data using statistical methods. Based on statistic analysis, we figure out correlations between environmental factors and phenomena. Through this course, students can learn basic knowledge to deal with environmental data and analyze complex environmental system using statistical tools.
- Prerequisite
- Engineering Mathematics, Statistics
- Textbook and References
- The course instructor will tell about the materials at the classroom.
Weekly Course Schedule (1~7 weeks) |
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Week | Description | *Remarks |
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1st | Characteristics of Environmental Data | - |
2nd | What is "modeling"? | - |
3rd | SPSS & Matlab | - |
4th | Hypothesis Tesing | - |
5th | t-test | - |
6th | Analysis Of Variance (ANOVA) | - |
7th | Analysis Of Variance (ANOVA) | - |
- Weekly Course Schedules
Weekly Course Schedule (8~16 weeks) |
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Week | Description | *Remarks |
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8th | Mid-term Exam | - |
9th | Multivariate ANOVA (MANOVA) | - |
10th | Multivariate ANOVA (MANOVA) | - |
11th | Non-Parametric test | - |
12th | Non-Parametric test | - |
13th | Problem Based Learning | - |
14th | Problem Based Learning | - |
15th | Problem Based Learning | - |
16th | Final Exam | - |
- 필수 / EV4106 | EN5102 / 지구환경이동현상 Earth and Environmental Transport Phenomena
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- Course Outline
- This course will cover the momentum, heat and mass transfer phenomena generated on the Earth. Through the studies on basic and overall transport phenomena, students are able to improve the ability to apply transport concepts to several environmental systems.
- Prerequisite
- not required
- Textbook
- Transport Phenomena (2nd edit.), R.B. Bird, W.E. Stewart, and E.N. Lightfoot, Hohn Wiley & Sons, Inc.
- Useful Books in LG Library
- J. P. Holman, Heat Transfer, 9th Ed., New York : McGraw-Hill, c2002, M0027738.
- M. N. Ozisik, Heat Transfer: A Basic Approach, New York :McGraw-Hill, c1985, M0027739.
- R. B. Bird, et al., Transport Phenomena, New York :John Wiley & Sons, Inc., 1960, M0002605.
- H.S. Carslaw and J. C. Jaeger, Conduction of Heat in Solids, 2nd Ed, New York :Oxford University Press, 1986, c1959, M0005602.
- E. Kreyszig, Advanced Engineering Mathematics, 7th Ed, New York :John Wiley & Sons, 1993, M0000390
- Homework Policy
- There would be homework for nearly every week during the semester. And not only enrolled students but also irregular students have to submit their homework and be punctual to its due date. The part of homework will be set to students from examples or practice problems of textbook and solution of that homework will be distributed by teaching assistant as a PDF file. So, evaluation for homework will be concentrated that how the student can understand the key principles of classes and problems. Then several quizzes during the semester will be composed of problems from homework.
- Teaching Philosophy
- There are important concepts and techniques in this course and this class will provide chances that they are applied to students' research. So, study of the text prior to lecture and review of last lecture will be needed to enhance the efficiency of class between professor and students. Further, it is recommended that students should rearrange his/her note from lecture. Because, it is strongly thought that your note will be used for your research activity even after graduation.
- Lecture Attendance
- It is important and expected that students will attend all lectures, because there is a strong correlation between lecture attendances and understanding in the course, therefore, it is strongly advised that student have to attend all lectures. And presence or absence of each student will be made sure at the beginning of each lecture.
- Examinations
- Several quizzes and final exam will be very challenging and student will need to study extensively to perform well. Additionally, for Problem Based Learning (PBL), several teams will be organized with students who have similar research area and assigned to discuss and follow up equations in research paper distributed by teaching assistant. And the teams will be evaluated through presentation showing how the members understand the equation and connect with technical and engineering recognition acquired from Transport Phenomena lectures.
- Grading
- The homework, quizzes, examination and PBL presentation would be fairly evaluated under the objective standard.
Weekly Course Schedule (1~7 weeks) |
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Week | Description | *Remarks |
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1st | Newton's Law, Fourier's Law and Fick's Law | - |
2nd | Dimensionless analysis | - |
3rd | Vector operation | - |
4th | Tensor operation | - |
5th | Differential operation & Integral theorem for Vector & Tensor | - |
6th | Middle term examination | - |
7th | Generalization of basic laws for the diffusion | - |
- Weekly Course Schedules
Weekly Course Schedule (8~16 weeks) |
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Week | Description | *Remarks |
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8th | Equation of Continuity | - |
9th | Equations of Motion, Energy, and Continuity in multicomponent system | - |
10th | Substantial derivatives on Equation of Motion, Energy, and Continuity | - |
11th | Special forms of Equation of Motion | - |
12th | Special forms of Equation of Energy | - |
13th | Special forms of Equation of Continuity | - |
14th | Problem Based Learning (PBL) | - |
15th | Problem Based Learning (PBL) and Team Presentation | - |
16th | Final term examination | - |
- 선택 / EN7362 / 고급공업수학 Advanced Engineering Mathematics
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- Course Description
- This course offers students a systematic learning for how to transfer their thinking to mathematical tools. The course covers basic calculus, dimensionless analysis, matrices, ordinary differential equations, partial differential equations to help students understand the environmental transport phenomena.
- Prerequisite
- Calculus and Algebra
- Course Material
- Class material will be delivered by Dr. Kim's note.
- Midterm will be replaced by students' homework performance, which should be submitted on due date.
- Final exam will be taken around the end of this class.
- Grading Policy
- Midterm Exam (Homework) 30%
- Final Exam 50%
- Participation with activeness 20%
- Course Outline
- Basic Calculus
- Matrices
· Matrix algebra
· Eigenvalues and eigenvectors - Ordinary Differential Equations
· Linear & nonlinear equations
· Transform methods - Partial Differential Equations
· Formulation and solutions for boundary value problems
· Method of characteristic line
· Unsteady state equations
- 선택 / EN4XXX / 지구환경시스템 모델링 Earth and Environmental System Modeling
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- Course Outline
- The object of this course is modeling the environmental system using the latest available computational approaches. This course is consist of a mathematical theories for environmental system modeling, fundamental concepts of optimization theories, and modeling practice of environmental related problems. Through this class, students will have opportunity to analyze environmental system mathematically, build environmental system model, and optimize the system.
- Prerequisite
- Engineering Mathematics, Environmental Data Analysis & Modeling, Environmental Transport Phenomena, Bioprocess Engineering
- Textbook and References
- The course instructor will tell about the materials at the classroom.
Environmental Systems Engineering Syllabus for 2014 Spring Semester / Instructor: Prof. Joon Ha Kim Weekly Course Schedule (1~7 weeks) |
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Week | Description | *Remarks |
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1st | Mathematical Review (Differential) | - |
2nd | Mathematical Review (Integral Calculus) | - |
3rd | Mathematical Review (Linear Algebra) | - |
4th | Mathematical Review (Laplace Transform) | - |
5th | Mathematical Review (Alegbaric Equations) | - |
6th | Mathematical Review (Initial Calue Problems) | - |
7th | Mathematical Review (Boundary Value Problems) | - |
- Course Schedules
Weekly Course Schedule (8~16 weeks) |
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Week | Description | *Remarks |
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8th | Mid-term Exam | - |
9th | What is "System"? | - |
10th | Batch Reactors | - |
11th | Continuous Flow Reactors | - |
12th | Fed-Batch Reactors | - |
13th | Change Your Insight to Environmental Aspect | - |
14th | Problem Based Learning | - |
15th | Problem Based Learning | - |
16th | Final Exam | - |
- 선택 / EN6341 / 수질 관리 및 모델링 Water Quality Modeling and management
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- Course Outline
- The objective of this course is to give graduate level students an overview of the analytical methods used in the development of water quality models, and the application of these models to stream and river systems, lake and reservoir systems, and estuaries and ocean outfall systems. Mathematical conceptualization and formulation of physical, chemical, biological, and hydrological water quality constituent transport and fate mechanisms will be discussed in depth.
- Prerequisite
- Engineering Mathematics, Fluid Mechnics, Environmental Data Analysis & Practicum
- Textbook and References
- Surface Water Qaulity Modeling (writen by Steven C. Chapra)
Environmental Systems Engineering Syllabus for 2014 Spring Semester / Instructor: Prof. Joon Ha Kim Weekly Course Schedule (1~7 weeks) |
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Calendar | Description | |
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1st week | Completely mixed Systems I | |
2nd week | Completely mixed Systems II | |
3rd week | Incompletely mixed Systems I | |
4th week | Incompletely mixed Systems II | |
5th week | Water Quality Environments: Rivers, lakes, estuaries | |
6th week | Dissolved Oxygen and Pathogens I | |
7th week | Dissolved Oxygen and Pathogens II | |
8th week | Mid-Trem | |
9th week | Eutrophication and Temperature I | |
10th week | Eutrophication and Temperature II | |
11th week | Computer Mechanistic Models I | |
12th week | Computer Mechanistic Models I | |
13th week | Stochastic Models I | |
14th week | Stochastic Models II | |
15th week | Special Topic | |
16th week | Final Exam | |
17th week | or Final Exam |
- Weekly Course Schedules
- 선택 / EN6141 / 환경공정제어 및 최적화 Environmental Process Control and Optimization
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- Course Outline
- This course offers students a practical learning for how to transfer their thinking to a concrete & visualized output through process control and optimization. For the optimization and better control of water-related processes and plants, the engineering optimization techniques students need will be covered in this course. The course pays attention to the use of modeling for the control of a wide range of processes in water and chemical processes and plants. Coverage includes: 1) introductory concepts of process control, 2) dynamic behavior of processes 3) Feed-back/feed-forward control 4) practice with process simulation tools, etc.
- Prerequisite
- Engineering Mathematics, Statistics
- Weekly Course Schedules
Weekly Course Schedule (1~7 weeks) |
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Calendar | Description | |
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1st week | Introduction to Process Control | |
2nd week | Transient Behavior of Processes I | |
3rd week | Transient Behavior of Processes II | |
4th week | Feedback control | |
5th week | Closed-Loop Control Systems | |
6th week | Frequency Response Methods | |
7th week | Advanced Control Technique | |
8th week | Mid-term | |
9th week | Digital Control Technique | |
10th week | Kalman's Filter Technique | |
11th week | Sensitivity & Uncertainty Analysis | |
12th week | Practice with Simulation Tools I | |
13th week | Practice with Simulation Tools II | |
14th week | Practice with Simulation Tools III | |
15th week | Practice with Simulation Tools IV | |
16th week | Final Exam | |
17th week | or Final Exam |
- Weekly Course Schedules
- 선택 / EN4XXX / 환경전문가 역량 함양 교육 Environmental Professionals Capacity Building
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