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 | |||||||||
| CHY5090 | Organic Electronic Materials Chemistry | 3 | 6 | Major | Master/Doctor | Chemistry | - | No | |
| Student will learn the basic physical and chemical properties of organic electronic materials in AMOLED, LCD and semiconductors. In addition, the structure-property relationship of organic electronic materials will be studied in the molecular level. To develop the efficient organic electronic materials, the basic organic reaction mechanism and the organic synthetic methods for the synthesis of new materials will be studied. | |||||||||
| COV7001 | Academic Writing and Research Ethics 1 | 1 | 2 | Major | Master/Doctor | SKKU Institute for Convergence | Korean | Yes | |
| 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. | |||||||||
| EAM4014 | Global Techno Management | 2 | 4 | Major | Bachelor/Master | 1-4 | Advanced Materials Science and Engineering | - | No |
| The requirement and problem of the real technology in the industrial field are analyzed by inviting specialists and CEOs to learn the ability of solving the industrial problem. Also, management and commencement of an enterprise are studied. | |||||||||
| EAM4021 | Backplane device process | 3 | 6 | Major | Bachelor/Master | Advanced Materials Science and Engineering | - | No | |
| The basic unit element in the display and semiconductor memory fields is the transistor, which is used under the names of thin film transistor (TFT) and metal-oxide-semiconductor field effect transistor (MOSFET), respectively. This course Understand the basic structure and operating principles of transistors, which are basic unit devices in the high-tech industry, learn about materials/processes/devices for TFTs applied in the display industry, and learn the process of directly producing actual TFT unit devices. Also, we will Learn the process of operation and evaluation. | |||||||||
| EAM5209 | Advanced Materials Convergence and Applications | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | Korean | Yes |
| Recently, in the fields of natural sciences and engineering, convergence technology with an aim of developing new functionality and applicability over the existing technologies is becoming increasingly important along with traditional academic research areas of metals, ceramics, polymers, textiles, and electrical engineering. The main purposes of the convergence technology are to create new materials and technologies from systematic convergence between existing and newly developed materials and technologies, and also to gain insights into the new convergent materials and applications. In order to achieve these objectives, one must have deep understandings on the basis materials such as metals, ceramics, as well as polymers, fibers, and even hybrid-type composite materials. Therefore, in this graduate course, as to cultivate or train the future core researchers in the field of convergence materials researches, topics from the recent convergence researches will be studied as well as fundamental studies on the basis materials such as metals, ceramics, and polymers. The main three topics in the course will be, i) the definition of convergence technology, ii) fundamentals of basis materials and technologies for convergence, and iii) applications of the convergence technology. | |||||||||
| EAM5604 | Plasma Processing | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | Korean | Yes |
| Basic theories and applications of plasmas which are widely used for thin film fabrication and etching will be discussed. Major topics are gases, cross-section, DC plasma, RF plasma, physical vapor deposition, and plasma etching. | |||||||||
| EAM5607 | Materials for Display | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | - | No |
| Unerstand the characteristics of materials need for various display applications. Study their function in the display systems. | |||||||||
| EAM7001 | Plasma Processes and Equipment | 3 | 6 | Major | Bachelor/Master/Doctor | 3-4 | Advanced Materials Science and Engineering | Korean | Yes |
| This class will discuss theoretical and experimental backgrounds on processing, diagnostic, and equipment technologies related to plasma deposition and etching applied to semiconductor, displays, and various nanodevice processing. The contents are as follows; 1) Gas Collision Processes, 2) Vacuum and Parts, 3) Plasma Technology, 4) DC, RF, High Density Plasmas, 5) Plasma Dignostics, 6) Plasma Deposition, 7) Plasma Etching, 8) Seminar on Recent Plasma Application Technologies | |||||||||
| ECE4269 | Advanced Display Engineering | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | - | No |
| This lecture deals with a various applications of display technology based on device physic and process. Thin film transistor device and process will be covered in detail to provide advanced knowledge in display technology. | |||||||||
| ECH4003 | Advanced Chemical Reaction Engineering | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
English | Yes | |
| Characteristics of real commercial reactors are examined. Analysis and design of homogeneous nonisothermal reactors, reactors with nonideal flow, noncatalytic heterogeneous reactors are dealt with. Effects of mass and heat transfer, solution of simultaneous material and energy balance equations, the concept of residence time distribution are introduced. This subject focuses on formulation and solution of equations for each type of reactors and discussion of the results, thereby enhancing the capability dealing with reactor analysis and design. | |||||||||
| ECH4004 | Interface Engineering | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
English | Yes | |
| A course dealing with the principles and applications of colloidal and interfacial phenomena, examing topics such as capillarity of fluid-fluid interfaces, fluid-solid interfaces, electronic double layer theory, surfactants and dynamic phenomena at interfaces. | |||||||||
| ECH4009 | Introduction to Quantum Chemistry | 3 | 6 | Major | Bachelor/Master | - | No | ||
| The goal of the course is to provide students with a fundamental understanding of the quantum chemical description of atoms and molecules. Particular emphasis is placed on the understanding of chemical bonding and reactivity, together with the theoretical basis for optical spetroscopy. The course also provides the fundamental quantum chemical background required for further courses in molecular modeling, NMR spectrocopy, inorganic chemistry and physical organic chemistry. | |||||||||
| ECH4010 | Special Topics in Chemical Industry | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This lecture will be given both by professors and by engineers from chemical industry. Main topics include chemical industry of Korea, polymer products and technology, biochemical products, water treatment technology, and energy storage devices. Students will be graded based on team projects and exams. | |||||||||