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 | |||||||||
| CHY4001 | Advanced Physical Chemistry Ⅰ | 3 | 6 | Major | Bachelor/Master | 1-4 | Chemistry | English | Yes |
| This course is intended for first-year graduate course in physical chemistry. The main contents of this course are concepts of operators, Schr dinger equation, quantum mechanical treatment of translational, vibrational and rotational motions of molecules which enable to understand of microscopic behaviors of molecular system. | |||||||||
| CHY4002 | Advanced Organic Chemistry Ⅰ | 3 | 6 | Major | Bachelor/Master | 1-4 | Chemistry | English | Yes |
| The goal of this lecture is to solidify the students understanding of basic concepts provided in an introduction to organic chemistry and to fill in much more information and detail than presented in college organic chemistry. The topic to be treated are following : bonding theory, stereochemistry and conformation of organic compounds. | |||||||||
| CHY4003 | Advanced Inorganic Chemistry | 3 | 6 | Major | Bachelor/Master | 1-4 | Chemistry | English | Yes |
| Symmetry of compounds and its applications will be discussed in this lecture. This lecture consists of (1) definition and theorems of group theory, (2) molecular symmetry and the symmetry groups, (3) representations of groups, (4) group theory and quantum mechanics, (5) symmetry-adapted linear combinations, (6) molecular orbital theory and its applications in organic chemistry, (7) molecular orbital theory and inorganic and organometallic compounds, (8) ligand field theory, and (9) molecular vibrations. The ultimate goal of this lecture is to provide the graduate students capabilities to apply the group theory in their own research. | |||||||||
| CHY4004 | Advanced Analytical Chemistry Ι | 3 | 6 | Major | Bachelor/Master | 1-4 | Chemistry | English | Yes |
| In the class of Instrumental Analysis in undergrauate course deals generals of chemical instruments in many aspects. Theses days, many of universities update their undergraduate curricular in different ways. So quite many students did not have chance to take Instrumental Analysis class during their undergraduate course. In this aspect, we offer this class as one of our graduate core courses to provide basic instrumental analysis as wel as application of instruments for chemical analysis. | |||||||||
| CHY5051 | Solid Chemistry Ⅰ | 3 | 6 | Major | Master/Doctor | 1-4 | Chemistry | - | No |
| Solid state chemistry is concerned with the synthesis, structure, properties, and applications of solid materials. The materials are usually inorganic, but not exclusively so. This lecture puts an emphasis on the electronic structure and crystal chemistry of solids. The topics to be treated are as following: introduction, spectroscopic methods, electronic energy levels and chemical bonding, band theory, effects of electronic repulsion, lattice distortions, defects and impurities. | |||||||||
| CHY5053 | Organometallic Chemistry Ⅰ | 3 | 6 | Major | Master/Doctor | 1-4 | Chemistry | - | No |
| This lecture is intended for graduate students who confront with the field of organometallic chemistry for the first time. Emphasis is laid on structures, bonding, methods of preparation, and general reactions of organometallic compounds. Basic concepts of thermodynamics and kinetics are also discussed. | |||||||||
| COV7002 | Academic Writing and Research Ethics 2 | 2 | 4 | Major | Master/Doctor | SKKU Institute for Convergence | Korean | Yes | |
| This course is designed to help nonnative graduate students improve their ability to write for academic purposes in English. It covers topics essential to improve academic writing, from finding a topic for a research paper and avoiding plagiarism to constructing a research proposal and a research paper, producing abstracts and steps for publishing in journals. Possible assignments include analyzing published research papers from their own chosen fields and constructing their own research proposal and research paper. | |||||||||
| COV7003 | Academic Writing and Research Ethics 3 | 3 | 6 | Major | Master/Doctor | SKKU Institute for Convergence | Korean,English | Yes | |
| This course trains graduate students to become more effective, efficient, and confident writers. This is a hands-on course that emphasizes interactive examples and practice. In the first four weeks, we will review principles of effective writing, examples of good and bad writing, and tips for making the writing process easier. In the second four weeks, we will examine issues specific to scientific writing, including: authorship, peer review, the format of an original manuscript, and research ethics. Students will complete editing exercises, write two short papers, and edit each others’ work. The primary audience is graduate majors, graduate students in any disciplines, and professional scientists. | |||||||||
| ECE4274 | Technological Innovation and Business Management | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | - | No |
| This course covers four essential stages of the necessary and sufficient conditions for technological innovation and commercialization that make today's dreams become tomorrow’s daily life for everyone. The first stage is the preparation stage for gaining insight by reading and systematically analyzing the changes in the future, the second stage is systematically understanding innovative values and strategically devising SMART, and the third stage is successfully creating, communicating, and managing teams to innovate. The final stage covers the business essentials and business know-how and conditions that management should know. | |||||||||
| ECE5928 | Seminconductor Device Characterization | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | Korean | Yes |
| The lecture is offered for the person who is reasonably familiar with the physics and operation of major semiconductor devices as in pn junction, bipolar transistors, MOS capacitors and transistors, solar cells, Schottky barrier diodes. By comparing most of the known characterization tools, a student get a firm grip on pros and cons of the various experimental methods. | |||||||||
| ECE5939 | Solar Cell Characterization | 3 | 6 | Major | Master/Doctor | 1-8 | Electrical and Computer Engineering | English | Yes |
| The lecture covers solar cell material characterization, optical, chemical, physical, and electrical property characterization in solar cell fabrication process. Various device characterization methods including destructive and non-destructive analysis methods will be discussed for the fabrication completed solar cells. Electrical property influencing factors will be treated to achieve the higher efficiency of solar cell. | |||||||||
| EME5912 | International Scholar Invited Lecture 1 | 3 | 6 | Major | Master/Doctor | 1-4 | Mechanical Engineering | - | No |
| International scholars in thermo-fluid, control/manufacturing, materials, micro/nano, energy, and bio-related areas will be invited to deliver this lecture. The topics of the lecture will be announced in advance. | |||||||||
| EPO5001 | Polymer Synthesis StudiesⅡ | 3 | 6 | Major | Master/Doctor | 1-4 | Polymer Science and Engineering | - | No |
| Study on the reaction mechanisms, kinetics, processes, and manufacting procedures of the selected polymeric materials.3 3 | |||||||||