For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE5578 | Media Communication | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| This course introduces fundamental technologies for multimedia, especially image and video communications and networking. We will address following topics; how to efficiently represent and process video signals, image and video compression and communication standards(H.26x, MPEG-1/2/4), multimedia network protocols (RTP/RTCP, etc.), layered or scalable video coding and multicast video, streaming multimedia over the Internet and wireless networks, error control in video communications. | |||||||||
| ECE5580 | Mobile Communications | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course covers various topics on mobile communications, which include structures of mobile switching center, traffic analysis, personal communications network, propagation phenomenon (fading, shadowing) in mobile communications channels, error control coding (ARQ, error correction, RS codes, convolutional/trellis codes), channel estimation, multiple access techniques (FDMA/TDMA/CDMA), and diversity techniques (maximal ratio and equal gain combining). | |||||||||
| ECE5580 | Mobile Communications | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| This course covers various topics on mobile communications, which include structures of mobile switching center, traffic analysis, personal communications network, propagation phenomenon (fading, shadowing) in mobile communications channels, error control coding (ARQ, error correction, RS codes, convolutional/trellis codes), channel estimation, multiple access techniques (FDMA/TDMA/CDMA), and diversity techniques (maximal ratio and equal gain combining). | |||||||||
| ECE5605 | Advanced Database | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| In this course we introduce database design methodology fundamental for constructing information systems and investigate practical database design case study. The major contents that will be covered is the following: data modeling concepts, conceptual design methodologies, view design and integration, improving quality of database schema, high level design using ER model, logical design for relational model, reverse engineering, design theory for relational databases, physical database design, etc.. | |||||||||
| ECE5605 | Advanced Database | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| In this course we introduce database design methodology fundamental for constructing information systems and investigate practical database design case study. The major contents that will be covered is the following: data modeling concepts, conceptual design methodologies, view design and integration, improving quality of database schema, high level design using ER model, logical design for relational model, reverse engineering, design theory for relational databases, physical database design, etc.. | |||||||||
| ECE5609 | Simulation Methodology | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| Based on DEVS(Discrete EVent System) formalism, the following topics are covered. Basic model definition, definition of I/O port for the model interaction and high level model construction, verification of models, abstract simulator, and hierarchical modular model construction. | |||||||||
| ECE5609 | Simulation Methodology | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| Based on DEVS(Discrete EVent System) formalism, the following topics are covered. Basic model definition, definition of I/O port for the model interaction and high level model construction, verification of models, abstract simulator, and hierarchical modular model construction. | |||||||||
| ECE5610 | Artificial Intelligent Based Simulation | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| The representation and construction of model structures and the management of models in a model base through the knowledge representation scheme of artificial intelligence. Also the state transition of complex models are represented by expert system production rules and the systems that cannot be represented by the simulation model alone are done by embedding the expert system to the simulation models. | |||||||||
| ECE5610 | Artificial Intelligent Based Simulation | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| The representation and construction of model structures and the management of models in a model base through the knowledge representation scheme of artificial intelligence. Also the state transition of complex models are represented by expert system production rules and the systems that cannot be represented by the simulation model alone are done by embedding the expert system to the simulation models. | |||||||||
| ECE5611 | Advanced Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The course objectives are to learn techniques and theory developed in major areas of Artificial Intelligence. The topics are: problem solving and search, logic and knowledge representation, reasoning, machine learning, soft computing, data mining and miscellaneous topics in the current research. | |||||||||
| ECE5611 | Advanced Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| The course objectives are to learn techniques and theory developed in major areas of Artificial Intelligence. The topics are: problem solving and search, logic and knowledge representation, reasoning, machine learning, soft computing, data mining and miscellaneous topics in the current research. | |||||||||
| ECE5612 | Computer Network Security | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| There will be studied on the computer network security in order to prevent and detect the computer crime which includes firewall system to prevent the third party from invading an internal network system, the several cryptogaphic techniques for confidentiality, integrity, and authentication on communication channel. chronous parallel architectures, and implementation of multilayer neural networks. | |||||||||
| ECE5612 | Computer Network Security | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| There will be studied on the computer network security in order to prevent and detect the computer crime which includes firewall system to prevent the third party from invading an internal network system, the several cryptogaphic techniques for confidentiality, integrity, and authentication on communication channel. chronous parallel architectures, and implementation of multilayer neural networks. | |||||||||
| ECE5613 | Special Topics on Information Security Theory | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| There will be studied on the classical cryptosystem, symmetric cryptosystem, public key cryptosystem, and zero-knowledge interactive proof system which are based on number theory, information theory and complexity theory. By using above cryptographic techniques, also, identification, authentication, digital signature, key management, and the security of communication and computer network will be lectured. | |||||||||
| ECE5613 | Special Topics on Information Security Theory | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| There will be studied on the classical cryptosystem, symmetric cryptosystem, public key cryptosystem, and zero-knowledge interactive proof system which are based on number theory, information theory and complexity theory. By using above cryptographic techniques, also, identification, authentication, digital signature, key management, and the security of communication and computer network will be lectured. | |||||||||