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Department of Energy 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.
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.
ECE4223 Semiconductor Process Technology 3 6 Major Bachelor/Master 1-4 English Yes
This course helps to understand the overall semiconductor processes by introducing the theory and the application of unit processes; photolithography, photo-mask, dry-etch, cleaning, chemical-mechanical polishing(CMP), diffusion and thin film, and module processes; transistor, isolation, capacitor, interconnection. This also suggests the direction of process technologies for the future generations.
ECE4223 Semiconductor Process Technology 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering English Yes
This course helps to understand the overall semiconductor processes by introducing the theory and the application of unit processes; photolithography, photo-mask, dry-etch, cleaning, chemical-mechanical polishing(CMP), diffusion and thin film, and module processes; transistor, isolation, capacitor, interconnection. This also suggests the direction of process technologies for the future generations.
ECE4233 Simulation Engineering of Electric Power Systems 3 6 Major Bachelor/Master 1-4 - No
The objective of this lecture is to present methods of power system simulation, particularly with the aid of a personal computer, in sufficient depth to give the student the basic technique at the graduate level. Main subjects are steady-state & transient power system simulation, fault modeling technique, FACT(flexible alternating current transmission) simulation and the usage of EMTP, ATP, PSCAD/EMTDC.
ECE4233 Simulation Engineering of Electric Power Systems 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering - No
The objective of this lecture is to present methods of power system simulation, particularly with the aid of a personal computer, in sufficient depth to give the student the basic technique at the graduate level. Main subjects are steady-state & transient power system simulation, fault modeling technique, FACT(flexible alternating current transmission) simulation and the usage of EMTP, ATP, PSCAD/EMTDC.
ECE4237 Robotics 3 6 Major Bachelor/Master 1-4 Korean Yes
This course discusses the kinematics and the dynamics of manipulators. The path planning of each joint and some control algorithms of manipulators are also discussed.
ECE4237 Robotics 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering Korean Yes
This course discusses the kinematics and the dynamics of manipulators. The path planning of each joint and some control algorithms of manipulators are also discussed.
ECE4238 Linear Systems 3 6 Major Bachelor/Master 1-4 English Yes
Methods of analysis for continuous and discrete-time linear systems. Convolution, classical solution of dynamic equations, transforms and matrices are reviewed. Emphasis is on the concept of state space. Linear spaces, concept of state, modes, controllability, observability, state transition matrix, state variable feedback, compensation, decoupling are treated.
ECE4238 Linear Systems 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering English Yes
Methods of analysis for continuous and discrete-time linear systems. Convolution, classical solution of dynamic equations, transforms and matrices are reviewed. Emphasis is on the concept of state space. Linear spaces, concept of state, modes, controllability, observability, state transition matrix, state variable feedback, compensation, decoupling are treated.