For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| FIT5016 | FinTech Business Model Development | 3 | 6 | Major | Master/Doctor | FinTech | - | No | |
| This is a course in FinTech Business Model Development for FinTech Master or Ph.D. program.This is a course in FinTech Business Model Development for FinTech Master or Ph.D. program.This is a course in FinTech Business Model Development for FinTech Master or Ph.D. program.This is a course in FinTech Business Model Development for FinTech Master or Ph.D. program.This is a course in FinTech Business Model Development for FinTech Master or Ph.D. program. | |||||||||
| FIT5017 | AI & Insurance Plan | 3 | 6 | Major | Master/Doctor | FinTech | - | No | |
| This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program.This is a course in AI & Insurance Plan for FinTech Master or Ph.D. program. | |||||||||
| SFC5020 | Special Theory of Smart Factory Engineering | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course covers the overall content of smart factories, separated by major disciplines. To secure sustainable competitiveness in future industries, manufacturing processes must be clearly and uniquely recognized as digital networking, and each process must communicate on its own and be interconnected. To this end, the relevant knowledge shall be acquired and applied to the site to discuss ways to create new values. In addition, research trends and industrial trends are investigated and learned in major fields such as AI, big data, cloud computing, industrial Internet of Things, manufacturing data platform, and manufacturing technology. | |||||||||
| SUP5001 | Deep Neural Networks: Theory and Applications | 3 | 6 | Major | Master/Doctor | 1-4 | Superintelligence Engineering | - | No |
| This course covers deep learning based on artificial neural network which is advanced on various industrial. This course, especially, give students basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Students learn about Convuloutional networks, RNNs, LSTM, Dropout and more. This course introduceds the major technology trens driving Deep Learning. | |||||||||
| WIS5059 | Wired-and-Wireless Communications and Computer | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | No |
| The goal of this course is to provide IS(Interaction Science) graduate students with the knowledge about wired-and-wireless communications that are used by computers and mobile computing devices (e.g., Smartphones, Tablets, and Laptops) for various services through cloud. This course decomposes the Internet technology (as the core of computer networks) into multiple layers and explains protocols required for those layers. That is, based on the OSI (Open Systems Interconnection) model, this course divides the Internet architecture into Physical layer, Data link layer, Network layer, Transport layer, and Application layer and then articulates the protocols necessary for running services in each layer. This course is designed to deliver lectures with 9 topics as follows. 1. Computer Networks and the Internet 2. Application Layer 3. Transport Layer 4. The Network Layer 5. The Link Layer and Local Area Networks 6. Wireless and Mobile Networks 7. Multimedia Networking 8. Security in Computer Networks 9. Network Management | |||||||||