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  • Department of Photovoltaic System Engineering
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Department of Photovoltaic System Engineering

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
AIM4001 Advanced Big Data Analytics 3 6 Major Bachelor/Master Artificial Intelligence - No
This course introduces fundamental data mining and machine learning techniques for big data analytics. The emphasis in the course will be learning key techniques that are required to extract meaningful information from big data, and developing scalable data mining algorithms for big data analytics. The first half of the course will cover various supervised and unsupervised machine learning methods (theoretical analysis of the methods and their practical applications), and the last half of the course will focus on scalable graph mining techniques with special emphasis on analyzing large-scale social networks. There will be one midterm, three assignments, and the final project where students will be expected to develop scalable algorithms for collecting and analyzing big data.
AIM5001 Theories of Artificial Intelligence 3 6 Major Master/Doctor Artificial Intelligence Korean Yes
In this course students will learn the fundamental algorithms of Aritificial Intelligence including the problem solving techniques, search algorithms, logical agents, knowledge representation, inference, and planning. After taking the course, students are expected to implement the algorithms using computer programming languages.
AIM5004 Deep Neural Networks 3 6 Major Master/Doctor Artificial Intelligence Korean Yes
In this class, we will cover the following state-of-the-art deep learning techniques such as linear classification, feedforward deep neural networks (DNNs), various regularization and optimization for DNNs, convolutional neural networks (CNNs), recurrent neural networks (RNN), attention mechanism, generative deep models (VAE, GAN), visualization and explanation.
AIM5025 Intelligent Robot and System 3 6 Major Master/Doctor 1-4 Artificial Intelligence English Yes
Inordertouserobotsveryefficiently,robotsarerequestedtobeabletoperformalltasksashumanscan.Thiscoursediscussesthetechniqueofsensoranditsapplicationinordertomakerobotsperformtasksintelligently.
AIM5026 Introduction to Robotic Intelligence 3 6 Major Master/Doctor Artificial Intelligence - No
Robot is defined as an intelligent system connecting sensors and actuators. As an intelligent system, robot is to play a key role for providing necessary services to human by automatically carrying out tasks requiring navigation and manipulation. To this end, robot needs to recognize objects and understand surroundings while reasoning and planning the behaviors necessary for carrying out tasks. Especially, it is essential for robot to be able to obtain its capabilities of recognition and understanding of environments as well as of reasoning and planning of behaviors by learning. This course deals with the fundamentals of robot intelligence on how robot learns for the recognition and understanding of environments as well as for the reasoning and planning of behaviors associated with manipulation and navigation.
CHS7001 Introduction to Blockchain 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
This course deals with the basic concept for the overall understanding of the technology called 'blockchain'. We will discuss the purpose of technology and background where blockchain techology has emerged. This course aims to give you the opportunity to think about the limitations and applicability of the technology yourself. You will understand the pros and cons of the two major cryptocurrencies: Bitcoin and Ethereum. In addition, we will discuss the concepts and limitations about consensus algorithm (POW, POS), the scalability of the blockchain, and cryptoeconomics. You will advance your understanding of blockchain technogy through discussions among students about the direction and applicability of the technology.
COV7001 Academic Writing and Research Ethics 1 1 2 Major Master/Doctor SKKU Institute for Convergence Korean Yes
1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers.
COV7001 Academic Writing and Research Ethics 1 1 2 Major Master/Doctor SKKU Institute for Convergence Korean Yes
1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers.
EAM5201 Crystal Chemistry 3 6 Major Master/Doctor 1-4
1-4
Advanced Materials Science and Engineering Korean Yes
Crystals are classified into ionic, covalent and metallic crystals in terms of the nature of bond. Corresponding physical properties of the crystals are introduced. The nature of the bond in crystals is explained by lattice energy theory, molecular orbital theory or band theory.
EAM5202 Semiconductor Analysis 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering English Yes
Basic physics related to electrical and optical properties of semiconductor. Principle and characteristics of various analytical techniques including DLTS, Hall, Electrochemical C-V, PITCS, PL, AES, and EPMA
EAM5203 Thermodynamics of Solid 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering Korean Yes
The more detailed thermodynamic relations in solid solution and reaction will be discussed, which are based on the basic thermodynamic concepts.
EAM5204 Phase Transformations 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering English Yes
Various phase transformations of materials such as homogeneous, heterogeneous, diffusional, and nondiffusional transformations during processes are introduced. In addition, phase transformation phenomena will be correlated to characteristics of crystal, thermodynamics and resultant mechanical properties of materials
EAM5205 Advanced Structure Control Engineering 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering - No
Structure control engineering is one of the key technologies for R&D as well as manufacturing. This lecture reviews fundamental structure control devices of mechanical, electrical, electrical operation, Using diverse approaches, the application of this control devices is also covered.
EAM5206 Advanced Mechanical Metallurgy 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering English Yes
Mechanical properties of materials and their relating variables will be studied. First, relationship between stress and strain, fundamental theory of elastic and plastic behavior, and plastic deformation of single and polychromate will be understood. Second, relationship between mechanical properties of materials and their microstructure and defects such as dislocation, vacancy, and grain boundary will be characterized. Finally, measurements of mechanical properties such as hardness, strength, elastic modules, and fracture toughness, fatigue and creep phenomena, and creep resistant materials will be studied.
EAM5207 Electronic Properties of Advanced Material 3 6 Major Master/Doctor 1-4 Advanced Materials Science and Engineering - No
Structure and behavior of atoms and electrons in solids ; bonding, energy band, Brillouin zone construction, free electron theory, etc.. Theory and properties of electrical, thermal, magnetic, and optical materials.