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Energy Science

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
ESC5168 Renewable energy project I 3 6 Major Master/Doctor 1-8 - No
This course will be in the form of invited lectures by distinguished scholars of international reputation including Nobel Laureates. Distinguished domestic or foreign scholars in the fields of energy science and engineering will be invited. Students will discuss with the scholars after the lecture and submit reports.
ESC5169 Renewable energy project II 3 6 Major Master/Doctor 1-8 English Yes
This course will be in the form of invited lectures by distinguished scholars of international reputation including Nobel Laureates. Distinguished domestic or foreign scholars in the fields of energy science and engineering will be invited. Students will discuss with the scholars after the lecture and submit reports.
ESC5170 Quantum Computing and Neuromorphic Devices 3 6 Major Master/Doctor 1-8 - No
Quantum computing device and neuromorphic computing device are attracting much attention in these days as an alternative of the current state-of-the-art von Neumann architecture based computer technology. In this subject, we will review the fundamental theory of physics for the operation of this new computing devices from the viewpoint of quantum mechanics and solid-state physics. In addition, the real devices will also be reviewed in terms of the device physics. This subject is designed for the students who did not major physics in the undergraduate course. The topics will cover from the introduction of the logic and memory devices in the current computer technology to the recent research results about the quantum computing devices and various neuromorphic devices, in order for the students to have the overview of these new technology.
ESC5171 Energy device and distributed system 3 6 Major Master/Doctor 1-8 English Yes
Energy devices are devices that can produce and store energy, and efficient energy distributor is required for effective energy use. In this lecture, basic principles and materials necessary for the development of energy devices such as solar cells and batteries will be introduced. It also covers designing efficient energy distributed systems.
ESC5172 Energy Environment Society Project I 3 6 Major Master/Doctor 1-8 - No
This course is a self-motivated project-based class. The objective of this course is to enhance the personal initiative in research activity of students. Each student will select a project based on one’s own research topic (energy, environment, and society issues), and present the background, motivation, and strategy for the project. After the presentation, all students in the class will discuss the progress and plan for the project. All student should submit the final report for their project at the end of the course.
ESC5173 Energy Environment Society Project II 3 6 Major Master/Doctor 1-8 Korean Yes
This course is a self-motivated project-based class to enhance the personal initiative in research activity of students. Each student will select a project based on one’s own research topic (energy, environment, and society issues), and present the background, motivation, and strategy for the project. After the presentation, all students in the class will discuss the progress and plan for the project. All students should submit the final report for their project at the end of the course.
ESC5174 Renewable Energy and Materials Industry 3 6 Major Master/Doctor 1-8 - No
This lecture is about the materials industry for the renewable energy. Especially, I will explain the international and domestic industries for single-and-poly crystal silicon and perovskite materials for solar cell application. We will discuss about the past, present, and future of the materials industry in terms of technology and competition.
ESC5175 Renewable Energy and System Industry 3 6 Major Master/Doctor 1-8 Korean Yes
This lecture is about the system industry for electrical power generation and consumption. Especially, we will learn about the facilities for electric power generation and consumption at industry and house. We will discuss about various technologies in terms of stability, environment issue, and efficiency.
ESC5176 Energy Mobility Industry 3 6 Major Master/Doctor 1-8 - No
This lecture is about the electric vehicle, the future mobility industry. Especially, we will learn about the intimate cooperation between the battery industry and automobile industry. We will also discuss about the international value chain and and competition.
ESC5177 Thermodynamics and Electrochemistry 3 6 Major Master/Doctor 1-8 English Yes
Thermodynamics is a basic discipline and branch of physics that deals with heat, work, and temperature, and their relation to energy, entropy, and the physical properties of matter and radiation. Electrochemistry is the branch of physical chemistry concerned with the relationship between electrical potential difference and chemical change accompanied by the electron transfer. Although there seems to be no significant relationship between two disciplines, there is a very close relationship between the two basic disciplines, therefore, in this course, we will learn how close the two basic disciplines are.
ESC5178 Energy Distinguished Lecture Series Ⅰ 1 2 Major Master/Doctor 1-8 English Yes
This course will be in the form of invited lectures by distinguished scholars of international reputation including Nobel Laureates. Distinguished domestic or foreign scholars in the fields of energy science and engineering will be invited. Students will discuss with the scholars after the lecture and submit reports.
ESC5179 Energy Distinguished Lecture Series Ⅱ 2 4 Major Master/Doctor 1-8 Korean Yes
This course will be in the form of invited lectures by distinguished scholars of international reputation including Nobel Laureates. Distinguished domestic or foreign scholars in the fields of energy science and engineering will be invited. Students will discuss with the scholars after the lecture and submit reports.
ESC5180 Big Data for Energy Science 3 6 Major Master/Doctor 1-8 English Yes
This course is designed to bridge the gap between advanced data science and the dynamic field of energy science. This course overs the world of big data management, emphasizing the pivotal role of machine learning techniques in analyzing and interpreting large datasets pertinent to energy studies. The curriculum is structured to provide a comprehensive understanding of various machine learning models, their implementation, and practical applications in energy-related scenarios. A unique feature of this course is its forward-looking approach towards quantum machine learning, a nascent field poised to revolutionize data processing and analytics. This segment introduces students to the fundamental concepts of quantum computing and its potential impact on machine learning, specifically in the context of energy sciences. Throughout the course, students engage in hands-on projects and case studies, gaining valuable experience in managing big data and applying machine learning algorithms. Theoretical knowledge is complemented by insights into real-world challenges and future prospects in the energy sector, preparing students for cutting-edge research and professional pursuits in this rapidly evolving field.
ESC5181 Industries for Hydrogen Production and Utilization 3 6 Major Master/Doctor 1-8 English Yes
The course aims to study current progress of industries for the low- and high-temperature electrolyzers and fuel cells. Also, core concepts of oxidation/reduction reaction at the electrodes will be discussed.
ETM5008 Technological Forecasting 3 6 Major Master/Doctor 1-4 Management of Technology Korean Yes
"This lecture mainly deals with technology forecasting; how to do technology forecasting; how to apply it in specific decision situation; how to avoid some of the more common error; and difficulties in the preparation of individual forecast. Exploratory forecasting techniques such as growth curve, trend extrapolation, correlation methods, causal models are introduced. Scenarios, cross-impact models, relevance trees, application of technology forecasting in planning are also dealt with. "