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

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CCS2001 A View of Culture 3 6 Major Bachelor 2-3 Cross-cultural Studies Korean Yes
It aims to provide the fundamental cultural concepts for comparative culture. Through various ways of analyzing and understanding culture, students are encouraged to understand culture from various viewpoints and to establish a basic view of culture.
CCS3011 Techno-Cultural Studies 3 6 Major Bachelor 3-4 Cross-cultural Studies Korean Yes
This course focuses on learning the viewpoint of Techno-Cultural studiest through various theories and modern phenomenon. After exploring how technology has influenced on the change of society from the basis, we expect students will expand the range of thought to individual subject and object. We will go through philosophy of technology and handle 'artificial intelligence', 'post-human', 'techno feminism', from the perspective of 'science and technology studies' and 'cultural studies'.
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.
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
CHS7004 Thesis writing in humanities and social sciences using Python 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages ​​and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing.
CLA2003 Reading the Literary Classics 3 6 Major Bachelor 2-4 Liberal Arts Korean Yes
This course is devoted to understanding the literary classics by reading and discussing a variety of representative works from Eastern and Western traditional and modern cultures. It requires a substantial amount of reading, writing, participation in discussions, and (possibly) individual presentations to the class. Timely reading is essential for class discussions, and students are expected to read at least one book every two weeks. The students are encouraged to articulate the ways literary work reflects the historical period and the culture that produced it; and more importantly, why this work is still relevant.
CLA2006 Humanities and entrepreneurship 1 2 Major Bachelor Liberal Arts - No
The role of humanities in starting and managing a company is very important. This class explores cases in which humanities are applied in corporate start-ups and management, and learns that humanities thinking can be applied to corporate management. In addition, through historical examples, we explore the rise and fall of a company, learn how humanities helped lead a company, and how it played a role in escaping a company's crisis through various cases. It also has an opportunity to broaden its perspective on corporate management while exploring cases of not only domestic companies but also global companies.
CLA3001 Liberal arts Co-op 1 2 4 Major Bachelor 3-4 Liberal Arts Korean Yes
Field practice to utilize knowledge accumulated from classroom studies for real world problems(for 2 weeks)
CLA3002 Liberal arts Co-op2 3 6 Major Bachelor 3-4 Liberal Arts Korean Yes
Field practice to utilize knowledge accumulated from classroom studies for real world problems(for 4 weeks)
CLA3003 Liberal arts Co-op3 4 8 Major Bachelor 3-4 Liberal Arts Korean Yes
Field practice to utilize knowledge accumulated from classroom studies for real world problems(for 6 weeks)
CLA3004 Liberal arts Co-op4 5 10 Major Bachelor 3-4 Liberal Arts - No
Field practice to utilize knowledge accumulated from classroom studies for real world problems(for 8 weeks)
CLA3005 Liberal arts Co-op5 9 18 Major Bachelor 3-4 Liberal Arts Korean Yes
Field practice to utilize knowledge accumulated from classroom studies for real world problems(for 24 weeks)