관련수업 9
프로필 이미지
관리자1
2021-10-30
조회 13
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)

OrderDescription*Remarks
1stIntroduction and What is the Climate change?-
2ndActions on Climate change, Paris agreement-
3rdSustainable Development, Energy policy on Climate change-
4thPolicy for Carbon emission, Green Climate Fund, Public cognition about Climate change-
5thWater technologies with Climate change-
6thWater pollution, Conventional Energy: Nonrenewable Energy Sources-
7thAtmospheric technologies and energy technologies with Climate change-

Weekly Course Schedules  

Course Schedule (8~16th)

OrderDescription*Remarks
8thMidterm Exam-
9thCoexistence with human and cyber, 4th industrial revolution, IoST and Hyper-connected society
10thClimate change and 4th industrial revolution : Robot industry and AI-
11thClimate 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-
14thFuture technologies : Low carbon energy network-
15th Future technologies : Monitiring and Estimation, Risk management-
16thFinal Exam-


Course Schedule (8~16th)  
프로필 이미지
관리자1
2021-10-30
조회 4
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)

WeekDescription*Remarks
1stIntroduction : 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 
2ndEcology, Population Sustainable development, Energy
-
3rdThe Earth and its mineral resources: Soil and Land use, Hazardous and Solid Wastes management and disposal
-
4thAir pollution, Climate change
-
5thToxicology and risk assessment, Technological development and Human
-
6thWater pollution, Conventional Energy: Nonrenewable Energy Sources
-
7thSustainable development, Environmental Policy and Decision Making: Law, Government and Society -

Weekly Course Schedules  

Weekly Course Schedule (8~16 weeks)

WeekDescription*Remarks
8thMidterm
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
-
9thTeam 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 
10thTeam project : Stake-holder role play 2
- Learning logical speaking skills
- Persuading stake-holders and customers logically
-
11thTeam project : Building the analysis capacity
- Project viability check and presentation
- Product reasonability check
-
12th Team project : Interim presentation
- Interim presentation
- Project originality and objective check
-
13th Team project : Proposal writing
- Proposal writing skill learning
- Writing proposal based on the project
-
14thTeam project : Capacity building 1
- Technical presentation learning
-
15th Team project : Capacity building 2
- preliminary presentation for final presentation
-
16thFinal presentation -
프로필 이미지
관리자1
2021-10-30
조회 4
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)

WeekDescription*Remarks
1stCharacteristics of Environmental Data
-
2ndWhat is "modeling"?
-
3rdSPSS & Matlab
-
4thHypothesis Tesing
-
5tht-test
-
6thAnalysis Of Variance (ANOVA)
-
7thAnalysis Of Variance (ANOVA)
-

Weekly Course Schedules  

Weekly Course Schedule (8~16 weeks)

WeekDescription*Remarks
8thMid-term Exam -
9thMultivariate ANOVA (MANOVA)
-
10thMultivariate ANOVA (MANOVA)
-
11thNon-Parametric test
-
12th Non-Parametric test
-
13th Problem Based Learning
-
14thProblem Based Learning
-
15th Problem Based Learning
-
16thFinal Exam
-
프로필 이미지
관리자1
2021-10-30
조회 14
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
  • 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.


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)

Week
Description
*Remarks
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
-
7thGeneralization of basic laws for the diffusion -


Weekly Course Schedules 

Weekly Course Schedule (1~7 weeks)

Week
Description
*Remarks
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
-
프로필 이미지
관리자1
2021-10-30
조회 4
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%


Grading Policy
  • 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
프로필 이미지
관리자1
2021-10-30
조회 4
Course Outline

Course OutlineThe 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)

Week
Description
*Remarks
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)
-
7thMathematical Review (Boundary Value Problems)
-

Course Schedules 

Weekly Course Schedule (8~16 weeks)

Week
Description
*Remarks
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
-
프로필 이미지
관리자1
2021-10-30
조회 10
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)

Calendar
Description
1st week
Completely mixed Systems I
2nd week
Completely mixed Systems II
3rd week
Transient Behavior of Processes II
4th week
Incompletely mixed Systems I
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-term
9th week Eutrophication and Temperature I
10th week
Eutrophication and Temperature II
11th week
Computer Mechanistic Models I
12th week
Computer Mechanistic Models II
13th week
Stochastic Models I
14th week
Stochastic Models II
15th week
Special Topic
16th week
Final Exam
17th week
or Final Exam

프로필 이미지
관리자1
2021-09-01
조회 13
Course Outline

OutlineThis 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)
Calendar
Description
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

프로필 이미지
관리자1
2021-09-01
조회 9

EN4XXX / 환경전문가 역량 함양 교육 Environmental Professionals Capacity Building

광주광역시 북구 첨단과기로 123 광주과학기술원 지구·환경공학부 201호 환경시스템공학연구실(ESEL)
김준하 교수님 : joonkim@gist.ac.kr / 062)715-3277 

랩매니저 : jeongwoomoon@gist.ac.kr / 062)715-2461

Copyright ⓒ ESEL All rights reserved. 

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Tel 041-332-8787
이메일  hanjuweb@hanmail.net 

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