For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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 | |||||||||
| COE2001 | Intelligent Information Society and AI Ethics | 3 | 6 | Major | Bachelor | 1-2 | Education | Korean | Yes |
| With the development of artificial intelligence, the information society is entering the intelligent information society. The social benefits brought by artificial intelligence are expected to be substantial. However, recently, ethical issues have arisen in various systems with artificial intelligence installed. In particular, unfairness or reliability issues that overwhelm profits are a threat to the intelligent information society itself. The positive and negative aspects of artificial intelligence are considered and problems are identified. In addition, we will examine the ethical principles and guidelines for artificial intelligence, and consider practical countermeasures through the evaluation of artificial intelligence systems. | |||||||||
| COE3001 | School Based Experience ＆ Learning I | 2 | 4 | Major | Bachelor | 3-4 | Education | - | No |
| The students of the college of education visit secondary schools and tutor slow learners or help teachers' school works to develop their dispositions for good teachers. | |||||||||
| COE3002 | School Based Experience ＆ Learning II | 3 | 6 | Major | Bachelor | 3-4 | Education | - | No |
| The students of the college of education visit secondary schools and tutor slow learners or help teachers' school works to develop their dispositions for good teachers. | |||||||||
| COE3003 | School Based Experience ＆ Learning III | 4 | 8 | Major | Bachelor | 3-4 | Education | - | No |
| The students of the college of education visit secondary schools and tutor slow learners or help teachers' school works to develop their dispositions for good teachers. | |||||||||
| COE3004 | School Based Experience ＆ Learning IV | 5 | 10 | Major | Bachelor | 3-4 | Education | Korean | Yes |
| The students of the college of education visit secondary schools and tutor slow learners or help teachers' school works to develop their dispositions for good teachers. | |||||||||
| COE3005 | Improvement of Teacher’s Spirit and Professionalism | 1 | 2 | Major | Bachelor | 3 | Education | - | No |
| This course is designed for the student teachers who will be the leaders in the future Korean educational system to develop the spirit and the professionalism of teachers. This course is the common major for the undergraduate in education department and cosists of lectures and practicum in educational setting which include guiding students, teaching in real educational setting. | |||||||||
| COE3006 | Education of Teaching How-to-write | 2 | 4 | Major | Bachelor | 3 | Education | - | No |
| Currently, writing skills are becoming more and more important because Korean middle and high school system started to require their students to improve writing skills and therefore the entrance exams for becoming teachers will include the related area as one of the topics. This course designed for undergraduate students to develop the ability to teach middle and high students how to write and the knowledge of Writing Education system. | |||||||||
| COE3008 | School Based Experience ＆ Learning V | 9 | 18 | Major | Bachelor | Education | - | No | |
| The students of the college of education visit secondary schools and tutor slow learners or help teachers' school works to develop their dispositions for good teachers. | |||||||||
| COE3010 | Education Individual ResearchⅠ | 2 | 4 | Major | Bachelor | 3-4 | Education | 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. | |||||||||
| COE3011 | Education Individual ResearchⅡ | 2 | 4 | Major | Bachelor | 3-4 | Education | 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. | |||||||||
| COE3012 | Education Individual ResearchⅢ | 2 | 4 | Major | Bachelor | 3-4 | Education | - | 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. | |||||||||
| COM2002 | Basic Programming | 3 | 6 | Major | Bachelor | 1 | Korean,Korean | Yes | |
| This course would be helpful when you deal with some program components, including flow chart, equation expression, I/O control, interaction, parameter passing, type declaration and subprogram. And they are applied to put into practice. | |||||||||
| COM2003 | Computer Education | 3 | 6 | Major | Bachelor | 1-2 | Korean | Yes | |
| We learn the relationship of education and computer, and study the necessity of education with a computer. Through the use of a computer, we learn educational method. | |||||||||