For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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. | |||||||||
| 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 | - | No | |
| 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. | |||||||||
| CON3032 | Consumer Big Data Analysis | 3 | 6 | Major | Bachelor | 2-4 | Consumer Science | English | Yes |
| Introduction to machine learning for consumer science. This course covers foundational concepts in machine learning such as overfitting, cross validation, and bias-variance tradeoff, and application of machine learning algorithms to consumer big data analysis. | |||||||||
| ECO2003 | Microeconomics | 3 | 6 | Major | Bachelor | 2-3 | Economics | Korean,English,Korean | Yes |
| A detailed examination of micro aspects of economic theory at the intermediate level. Topics discussed are theories of consumer behavior and demand, productionand cost, organization of the firm and the market, distribution of factor income, general equilibrium, economic welfare and other current microeconomic issues. | |||||||||
| EPN3001 | Community Problems and Start-up | 3 | 6 | Major | Bachelor | 2-3 | Entrepreneurship & Innovation | Korean | Yes |
| This class aims to facilitate students’ capacity to analyze community problems and develop start-up topics and model based on community. In particular, this class consists of definition of community problems, analysis of community capacity, development of start-up for solving community problems, and implement of start-up based on community. This class has expectations as follows: 1. Students learn how to analyze community problems. 2. Students learn how to develop community-based start-up. 3. Students learn how to combine community capacity and start-up. 4. Students leanr how to realize ideas of community start-up into community. | |||||||||
| ERP4001 | Creative Group Study | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students. | |||||||||
| ISS3234 | Introduction to Social Problems | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| This course discusses various social problems in society, examines factors associated with these problems, and explores possible solutions. The course are organized into three main parts: 1) understand social problems from multiple perspectives, 2) brainstorm possible solutions to address social problems, 3) explore possible ways to conduct a research project. In order to achieve these leaning objectives, the course will meet daily as a seminar, along with class activities in which each member will have opportunities for contributing to the purpose of each session through prepared, active participation. | |||||||||
| ISS3286 | The Foundations of Entrepreneurship | 3 | 6 | Major | Bachelor | English | Yes | ||
| This class is an introductory course intended to provide students with a solid foundation in terms of the vital role played by entrepreneurs and entrepreneurship in the 21st century global economy. Entrepreneurship is approached as a way of thinking and acting, as an attitude and a behavior. Our emphasis is on entrepreneurship as a manageable process that can be applied in virtually any organizational setting. Our principal focus will be on the creation of new ventures, the ways that they come into being, and factors associated with their success. | |||||||||
| PSY2004 | Modern Social Psychology | 3 | 6 | Major | Bachelor | 2-3 | Psychology | English | Yes |
| Social psychology studies how people think about, relate, and influence one another. The major topics of the course include social cognition, social relations, and social influence. This course aims to enhance students’ understanding of basic concepts and theories in social psychology. To this end, the course will introduce representative studies directly relevant to important real-world issues, such as self, social judgment, person perception, attitudes, interpersonal relations, and stereotypes. | |||||||||
| SOC2002 | Social Stratification | 3 | 6 | Major | Bachelor | 2-3 | Sociology | Korean | Yes |
| The aim of this course is to help the students to obtain a systematic and comprehensive understanding of the structural inequality in a society. The course covers a variety of theoretical perspectives related to social stratification and class, methodological approaches frequently used for stratification research including mobility table analysis and structural equation models, various forms of stratification system, process and consequences of stratification, and social mobility. Needless to say, those phenomena related to social stratification in Korean society is one of the main concerns of this course. | |||||||||
| SWF2001 | Introduction to Social Welfare | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This course provides students with a basic framework for understanding the field of social welfare. This course surveys the philosophy, history & services of social welfare as well as its values, methords & practice settings of the social work profession. | |||||||||
| SWF2002 | Human Behavior and Social Environment | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| The main focus of this course is on assessment, i. e., understanding the underlying reasons why people act the way they do and evaluating the strengths and deficits in the development of people. One of the primary steps in the helping process is assessment. Assessment involves evaluating some human condition or situation and making decisions about what aspects of the behavior or situation need to be changed. | |||||||||
| SWF2003 | Social Welfare Policy | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| This course focuses on major social policy contents regarding definition, history, socioeconomic conditions for the development of policy formulations, relationship between social policy and the market economy, conflicts among various sections of the society with relation to social policy, social policy programs in the developed countries such as U.S.A., Germany, Japan and Sweden. This course further explores the critical evaluations and alternatives of social welfare policy in Korea. | |||||||||