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Physics

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
CHS2008 The Fourth Industrial Revolution and Start-up Business 1 2 Major Bachelor 1-4 Challenge Semester Korean Yes
The fourth industrial Revolution is regarded as a key driving force to lead the new national growth method and changes the industrial structure. Therefore, major advanced economies are already proactively focusing on creating new business models in the fourth industrial revolution. On the other hand, the korea response system to the fourth industry and human resource development performance are considered insufficient. This subject is to aware of the necessity of Startiup a business in the era of the Fourth Industrial Revolution for lower-grade students at universities and to explain the fourth industrial revolution technology. Based on this background knowledge, students will learn business model development theory, startup team building, and how to draw up a business plan. In particular, this subject will secure successful start-up cases or related videos to encourage students fun and eventually cultivate basic skills to start Business.
CHS2009 Creative Ideation 2 4 Major Bachelor 1-4 Challenge Semester - No
Most people think that creativity is closely related to something new, unique and original. But we have no idea how to do if we actually think up creative ideas, which has never been existed, on our own. Let's take note of the well-known old saying, there is nothing new under the sun. We should change our perspective on creativity. There is common and distinct patterns in those things considered to be creative. This course introduce the common patterns of creative ideation with a lot of examples. Major topics include systematic inventive thinking, creative ideation codes, biomimicry, creativity in culture and arts.
CHS2012 IoT Project 2 4 Major Bachelor 1-4 Challenge Semester - No
It is a course for students who are not familiar with software and hardware, but who are interested in Internet of Things area. It aims to provide easy and convenient steps of the area, including education of C language basics and various digital/analog sensor control conducted with a toolkit such as Arduino. Communication skills and cooperative spirit can be obtained by carrying out IoT projects through group activities.
CHS7002 Machine Learning and Deep Learning 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
This course covers the basic machine learning algorithms and practices. The algorithms in the lectures include linear classification, linear regression, decision trees, support vector machines, multilayer perceptrons, and convolutional neural networks, and related python pratices are also provided. It is expected for students to have basic knowledge on calculus, linear algebra, probability and statistics, and python literacy.
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
EEE2011 Circuit Theory I 3 3 Major Bachelor 2-3 Electronic and Electrical Engineering Korean,English,Korean Yes
Circuit element, Kirchhoff's law, Ohm's laws. Sine wave altenating current, Instantaneous value, average value, effective value. R-L-C series circuit and parallel circuit. Phasor representation of sine wave AC, impedance and admittance circuit. Two port network, bridge circuit, coupled circuit. Active power, complex power. Constant voltage and current source. Thevenin's and norton's theorem. Polyphase AC curcuit, balanced and unbalanced 3-phase curcuit, method of symmetrical coordinates.
EEE2012 Circuit Theory II 3 3 Major Bachelor 2-3 Electronic and Electrical Engineering Korean,English,Korean Yes
Nonsinusoidal wave, transient phenomena, laplace transform. Fourier analysis techniques. Admittance parameters, Impedance parameters, Hybrid Admittance parameters. Parameter Conversions. T-π equivalent networks. Two-port networks Sinusoidal frequency analysis, Resonant circiutis. Distributed parameter circuit.
MTH2007 Differential Equations 3 6 Major Bachelor 2-3 Mathematics Korean Yes
Basic theory of elementary differential equation and its application are dealt with : first order ordinary differential equation, constant coefficient linear ordinary differential, high order ordinary differential equation, solution by series(Legendre differential equation, Bessel differential equation), etc.
MTH2016 Matrix Theory 3 6 Major Bachelor 2-3 Mathematics Korean Yes
Main course in Linear Algebra. This course will cover some theoretical aspects of the following topics ; systems of linear equations and matrices, LU-factorization, rank-nullity theorem, matrix representation of linear transformations, change of basis and similarity, inner product spaces, orthogonal matrices and Gram-Schmidt process, least square solution, eigenvectorand matrix diagonalization, Complex vector spaces, Schur's theorem, Jordan canonical forms, Cayley-Hamilton theorem etc.(prerequisite:2005082 Linear Algebra, or permission of Instructor etc.)
NAT2001 NaturalScienceIndependentStudy1 2 4 Major Bachelor 1 Science Korean Yes
This is an independent study course for students who have finished an excellent accomplishment of the course requirements and designed for giving credits which make an excellent record to the students for their research works. Most subjects assigned to students are related to the thesis topic for each student, which include literature survey, directed experiments, and data analysis. The aim of the class is to provide various conceptual backgrounds for the research, current problems and research needs, experimental design, and analysis for the results, which may not be offered by regular classes in the undergraduate program.
NAT2002 NaturalScienceIndependentStudy2 2 4 Major Bachelor 1 Science Korean Yes
This is an independent study course for students who have finished an excellent accomplishment of the course requirements and designed for giving credits which make an excellent record to the students for their research works. Most subjects assigned to students are related to the thesis topic for each student, which include literature survey, directed experiments, and data analysis. The aim of the class is to provide various conceptual backgrounds for the research, current problems and research needs, experimental design, and analysis for the results, which may not be offered by regular classes in the undergraduate program.
NAT2003 NaturalScienceIndependentStudy3 2 4 Major Bachelor 1 Science Korean Yes
This is an independent study course for students who have finished an excellent accomplishment of the course requirements and designed for giving credits which make an excellent record to the students for their research works. Most subjects assigned to students are related to the thesis topic for each student, which include literature survey, directed experiments, and data analysis. The aim of the class is to provide various conceptual backgrounds for the research, current problems and research needs, experimental design, and analysis for the results, which may not be offered by regular classes in the undergraduate program.
NAT2004 NaturalScienceIndependentStudy4 2 4 Major Bachelor 1 Science Korean Yes
This is an independent study course for students who have finished an excellent accomplishment of the course requirements and designed for giving credits which make an excellent record to the students for their research works. Most subjects assigned to students are related to the thesis topic for each student, which include literature survey, directed experiments, and data analysis The aim of the class is to provide various conceptual backgrounds for the research, current problems and research needs, experimental design, and analysis for the results, which may not be offered by regular classes in the undergraduate program.
NAT2005 NaturalScienceIndependentStudy5 2 4 Major Bachelor 1 Science - No
This is an independent study course for students who have finished an excellent accomplishment of the course requirements and designed for giving credits which make an excellent record to the students for their research works. Most subjects assigned to students are related to the thesis topic for each student, which include literature survey, directed experiments, and data analysis. The aim of the class is to provide various conceptual backgrounds for the research, current problems and research needs, experimental design, and analysis for the results, which may not be offered by regular classes in the undergraduate program.
NAT2006 Natural Sciences and the Humanities 3 6 Major Bachelor 2 Science Korean Yes
Natural sciences and the humanities can interact with each other in various ways. For example, although both have different point of view for the Nature, they interact complementarily. The development of the humanities leads the development in natural sciences, and the development in natural sciences leads the development of the humanities and various areas of arts. In this course, students of natural sciences can understand the interaction between natural sciences and the humanities and communicate with each other. Eventually, abilities in the humanities will be enhanced.