For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| SNT4018 | Nano convergence industrial technologies | 3 | 6 | Major | Bachelor/Master | 1-4 | Nano Science and Technology | Korean | Yes |
| Since the birth of nano science and technology, nanotechnology has been intensively investigated over the world. It has shown tremendous progress. Nowadays naontechnology focuses development for industrial application. Industralization of nanotechnology becomes main issues in various industries such as secondary battery, semiconductor, flat panel display, quantum electronics, and bio related industry. Recent activities in research and development in global enterprises and research institute will be provided by experts. Nanotechnology provides the platform for technology convergence. Emerging industries based on nano convergence will be introduced and discussed. | |||||||||
| SWE3009 | Internet Service and Information Security | 3 | 6 | Major | Bachelor | 4 | Computer Science and Engineering | Korean | Yes |
| This course introduces classical ciphers, symmetric & asymmetric ciphers, public key cryptosystems and zero-knowledge interactive proof systems based on the elementary number theory, information theory and complexity theory. Utilizing these systems gives a clear view to our lectures about identification, authentication, digital signature, key management services, domestic-abroad standard cryptography and their applications such as communication and network security. | |||||||||
| SWE3011 | Introduction to Artificial Intelligence | 3 | 6 | Major | Bachelor | 4 | Computer Science and Engineering | English,Korean | Yes |
| This course focuses on foundation of theory and introduction of advanced topics. Detailed subjects for theory are problem representation in state space, search strategy including breadth first search, depth first search and heuristic searchand knowledge representation methods such as using predicate logic, resolution and using rules. Advanced topics planning system (STRIPS), neural network and fuzzy techniques such as perceptron and hopfield network with learning methods, computer vision techniques such as image representation, edge detection, line and curve detection are also introduced. Finally, we introduce symbolic programming language, LISP with examples. | |||||||||