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Fashion Design

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

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CHS2002 Data Science and Social Analytics 1 2 Major Bachelor 1-4 Challenge Semester - No
This course is intended to examine human behaviors and social phenomena through the lens of data science. Students also may learn online data collection and analysis in social media spaces. It deals with both theory and practice, but relative portion may change in each semester without prior notice.
CHS2003 Robust System Design with Big Data Analytics and Artificial Intelligence 2 4 Major Bachelor 1-4 Challenge Semester Korean Yes
In this course, the fundamental theories and methodologies on big-data analytics and artificial intelligence (AI) algorithms for prognostics and health management (PHM) of engineering systems are mainly covered. More specifically, the reliability analysis, sensor-based big-data collection, signal processing, statistical feature extraction and selection, and AI-based modeling are studied, and the hands-on practices are also carried out. In addition, various case examples are introduced to study the robust engineering system design using the big-data analytics and AI algorithms.
CHS2004 Humanities and creative thinking 1 2 Major Bachelor 1-4 Challenge Semester - No
The fourth industrial revolution is expected to accelerate the development of a hyper-connected society. IT technologies will enable various applications in our society with intelligent network connecting human, data, and objects. In such environment, companies will continue to strive to discover value-adding services for customers. This course is intended to help students enhance the understanding of human(customer) instinct as well as business and creativity through the lens of humanities.
CHS2005 Global Economic History 1 2 Major Bachelor 1-4 Challenge Semester - No
This course aims to enhance the knowledge on the modern global economic order by studying the evolutionary process of the global world economy. Main concepts include modernization, entrepreneurship, industrial revolution, technological progress, economic development, globalization, and world economic order. Details of th course are as follows. It begins with the broad explanation of the global economic history, and moves on to ancient time, middle age, great voyage, mercantilism, industrial revolution, first wave of globalization, retreat of globalization, second wave of globalization, and contemporary globaization.
CHS2007 Debate of Korean Neo-Confucianism 1 2 Major Bachelor 1-4 Challenge Semester - No
The purpose of this course is to understand the Neo-Confucianism of the Joseon Dynasty, which formed the main foundation of Korean culture and thought, through the key issue of the changing times. In the 14th century, we look at the reasons of intellectuals who emphasized ethics in the process of accepting and settling down the subject. In the 16th century, we look at the Four-Seven Debate of Yi-Hwang and the Human-Moral mind Debate of Yi-yi. In the 18th century, we take a look at the Korean ethic that was formed through the Ho-rak debate. In the 19th century, look at the Dongdo-Seoki Debate caused by the inflow of Seo-hak. In the 20th century, look at the meaning of the Sim-seol debate developed by the modern Confucian reform theory in Korea. Through this lecture, First of all, we can understand the representative arguments of each era. Secondly, explains the identity of Koreans. Finally, seek forward-looking universal value.
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.
CHS2011 Engineering Ethics and Post-Confucianism in the AI era 2 4 Major Bachelor 1-4 Challenge Semester - No
In this class, we will ponder over various ethical problems that currently arise in the process of developing artificial intelligence, and consider what kind of ethics is required in the future society in which much more advanced forms of artificial intelligence will emerge. In addition, we will examine whether and how East Asian traditions, especially the Confucian tradition, can still provide ethical insights to our society in the AI era.
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.
CHS2013 The Convergence of Cognitive Neuroscience and Neurotechnology with Humanities and Social Sciences 3 6 Major Bachelor 1-4 Challenge Semester - No
This course will introduce fundamentals of how human brain works and the state-of-the-art of neuroscience research. This course will cover the convergence of cognitive neuroscience and neurotechnology with humanities and social sciences (e.g., brain-computer interface, neuroscience-based cognitive computing, neuroergonomics, etc.), their applications and future directions through class discussions. This course aims for students to 1) understand the literature in the fields of cognitive neuroscience and neurotechnology based on the understanding of humanities and social sciences; 2) articulate the domains and contexts in which cognitive neuroscience and neurotechnology may be effective; 3) develop an ability to lay out the open questions and address challenges in cognitive neuroscience and neurotechnology research today; and 4) prepare them to be more knowledgeable and proficient professionals.
CHS2014 Developing 21C Skills through Team Entrepreneurship 1 2 Major Bachelor 1-4 Challenge Semester - No
The 21st Century is the era of transformation, where the scope, depth, and speed of the change we face is beyond our understanding. Faced with the fundamental shift, the young generation must develop the 21C skills (communication, creativity, collaboration, and critical thinking & problem solving) as defined by OECD. This course emphasizes that individuals can acquire the 4C skills during the process of solving social problems in trust-based teams. This course provides both the tools to use in daily life and the background theories so that students can develop the 4C skills and create their own lives by challenging social problems.
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.
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
CON3015 Analysis of Consumption Trend 3 6 Major Bachelor 3-4 Consumer Science Korean Yes
Identify new directions in consumer trend, develop techniques for gathering and analyzing the raw data that procduce our insights into consumer trends, and identify strategies for getting "on-trend" and extrapolating a trend's future direction.