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 | |||||||||
| CHS7004 | Thesis writing in humanities and social sciences using Python | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing. | |||||||||
| 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. | |||||||||
| DBC5014 | Emulsion Science and Engineering | 3 | 6 | Major | Master/Doctor | Interdisciplinary Program in Biocosmetics | - | No | |
| Emulsions are mixture of two different liquids with surfactatnt as stabilizer. Experimental toos for generating emulsion and fundamental mechanism behind emulsion stabilization will be covered and then experimetnal methods for controlling emulsion size distriubtion and multiple emulsions will be discussed. | |||||||||
| DES4001 | Convergence Capstone Design | 3 | 6 | Major | Bachelor/Master | Design | Korean | Yes | |
| Various students from different majors, Design, Art, IT, Business, Engineering, and etc., are gathered to study the development of future new technology, services and creative design products. Also, they are processing the prototype of the study and supporting the application of effective ideas. The purposes of this study are to overcome the present level of studies' approaches and create new and innovative values and to acquire creativeness, Problem Based Learning skill, and ability to conduct Team Project. | |||||||||
| 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. | |||||||||
| 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 |
- | No | |
| 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. | |||||||||