For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| AIM5064 | Special topics in visual computing | 3 | 6 | Major | Master/Doctor | 1-4 | Artificial Intelligence | - | No |
| This is a graduate seminar course in visual computing. We will survey and discuss the recent research papers in computer vision area, such as image recogniaion, reconstruction, 3D vision, simulation, generative models, etc. Throughout this course, students get familiar with the recent innovations in computer vision area and identify open questions and new research directions in this field. | |||||||||
| COV7001 | Academic Writing and Research Ethics 1 | 1 | 2 | Major | Master/Doctor | SKKU Institute for Convergence | - | No | |
| 1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers. | |||||||||
| ECE4249 | Computer Vision | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | Korean | Yes |
| This course focuses in the study of theories for image analysis. The first part consists of Image formulation model, early processing, boundary detection, region growing and segmentation, motion detection, merging and introduction of morphology. The second part, we cover basic concepts of statistical model, dis- criminant function, decision boundary and rules and neural network for visual pattern recognition. | |||||||||
| ECE5302 | Pattern Recognition | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| This lessen discusses basic technologies on processing and recognition of digital image patterns. Main subjects are statistical pattern recognition, supervised learning, linear discrimination functions, unsupervised learning, syntactic pattern recognition, parsing and grammers, graphical syntactic pattern recognition, grammatical inference, neural pattern recognition, and so on | |||||||||
| 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. | |||||||||
| ECE5976 | Measurement Science | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| The course is designed to introduce students about measurement and instrumentation used in all fields of engineering. The course introduces the process of associating numbers with physical quantities and phenomenon. A measurement system can be interpreted as a channel for transporting information from a measurement object to a target object. In a measurement-and-control system (part of) the target object is identical to the measurement object. Three main functions can be distinguished—data acquisition, data processing, and data distribution. Data acquisition is used to obtain information about the measurement object and convert it into an electrical signal. Data processing includes processing, selecting, or otherwise manipulating measurement data in a prescribed manner. Data distribution is used to supply processed data to the target object. Multiple outputs indicate the possible presence of several target instruments such as a series of control valves in a process installation. Rapid growth in computers and computer science has contributed to an expansion of software tools for the processing of measurement signals and the computer is gradually taking over more and more instrumental functions. The case studies are drawn from the fields of electrical and mechanical engineering, control systems, and, satellite and car navigation technologies, and offer a broad variety of applications for all users. | |||||||||
| ECE5984 | Foundations of Machine Learning | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| Machine Learning is the study of how to build computer systems that learn from experience. This course will give an overview of many models and algorithms used in modern machine learning, including generalized linear models, multi-layer neural networks, support vector machines, Bayesian belief networks, clustering, and reinforcement learning. | |||||||||
| EME5172 | Advanced Dynamics | 3 | 6 | Major | Master/Doctor | 1-4 | Mechanical Engineering | - | No |
| The purpose and aim of this advanced dynamics course is to present fundamental theories to post graduate level students so that they attain a real comprehensive understandings about motions in 3D. An attempt will be made during the entire course to present real problem oriented material that emphasizes the ability to combine fundamental mathematics and theory of dynamics. Contents of the course may include rotational coordinates, system of particles, planar rigid body motions, and 3D rigid body dynamics. Introduction to Lagrangian and Hamiltonian mechanics will be also covered. | |||||||||
| EME5902 | Entrepreneurship Project | 1 | 2 | Major | Master/Doctor | 1-4 | Mechanical Engineering | Korean | Yes |
| This course is designed to provide how the entrepreneurship can be internalized and activated effectively. The basic concept of entrepreneurship, previous example, and business plan are studied. | |||||||||
| EME5903 | Seminar for High Technology | 1 | 6 | Major | Master/Doctor | 1-4 | Mechanical Engineering | Korean | Yes |
| Developing high technology for industrial and research fields are studied and discussed. The experts about environment technology, intelligent system, medical engineering, life science, etc. are invited to give lectures about required technology in the future. | |||||||||
| EME5904 | Special lecture by invited speaker | 1 | 6 | Major | Master/Doctor | 1-4 | Mechanical Engineering | Korean | Yes |
| The requirement and problem of the real technology in the industrial field are analyzed by inviting specialists in the field to learn the ability of solving the industrial problem. Also, management and commencement of an enterprise are studied. | |||||||||
| EME5929 | Intelligent Robotics | 3 | 6 | Major | Master/Doctor | Mechanical Engineering | English | Yes | |
| Robotics deals with mathematical modeling, mechanics, control about the manipulation with a robot manipulator. We treat the description of orientation, coordinate transformation, forward kinematics, inverse kinematics, the relation between joint velocities and Cartesian velocities, dynamics, trajectory generation, position control, force control, and the issues of a manipulator design. | |||||||||
| EME5932 | Frontiers in Robotics | 3 | 6 | Major | Master/Doctor | Mechanical Engineering | Korean | Yes | |
| The field of robotics is becoming a diverse field of research combining traditional and cutting-edge engineering knowledge. This course intends to introduce students with the basics of soft actuators, soft sensing, soft robotics, biologically-inspired robotics, biological robots, swarm robotics and other novel areas of robotics. The class will have a high focus on teamwork and the students will have to build a robot based on their interdisciplinary areas of research. | |||||||||
| EME5938 | Mechanics of Elastoplasticity | 3 | 6 | Major | Master/Doctor | Mechanical Engineering | - | No | |
| This course covers the theory of elastoplasticity based on the continuum mechanics, and provides application examples for several materials. General stress and strain definitions are introduced for elastoplatsic range over onset of yield stress, in large deformation conditions. Students will study yield function, plastic potential, and hardening laws in order to analyze anisotropy and nonlinearity of material behaviors. Material dissipation caused by the plastic deformation is discussed with the entropy law and free energy theory. | |||||||||
| EME5940 | Introduction to Human-Robot Collaboration for AI Robot Applications | 3 | 6 | Major | Master/Doctor | Mechanical Engineering | Korean | Yes | |
| In this class, we discuss technologies that are required for and related to human-machine, especially robot collaboration in industry and find collaboration service problems and examples. Theoretical backgrounds for human-robot collaboration, industrial process, backgrounds for artificial intelligence, and industrial safety management are discussed. Through these work, students understand the effect of human-machine(robot) collaboration in industry. | |||||||||