For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CHS7001 | Introduction to Blockchain | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| This course deals with the basic concept for the overall understanding of the technology called 'blockchain'. We will discuss the purpose of technology and background where blockchain techology has emerged. This course aims to give you the opportunity to think about the limitations and applicability of the technology yourself. You will understand the pros and cons of the two major cryptocurrencies: Bitcoin and Ethereum. In addition, we will discuss the concepts and limitations about consensus algorithm (POW, POS), the scalability of the blockchain, and cryptoeconomics. You will advance your understanding of blockchain technogy through discussions among students about the direction and applicability of the technology. | |||||||||
| 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 | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| EAM5201 | Crystal Chemistry | 3 | 6 | Major | Master/Doctor |
1-4
1-4 |
Advanced Materials Science and Engineering | Korean | Yes |
| Crystals are classified into ionic, covalent and metallic crystals in terms of the nature of bond. Corresponding physical properties of the crystals are introduced. The nature of the bond in crystals is explained by lattice energy theory, molecular orbital theory or band theory. | |||||||||
| EAM5202 | Semiconductor Analysis | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | English | Yes |
| Basic physics related to electrical and optical properties of semiconductor. Principle and characteristics of various analytical techniques including DLTS, Hall, Electrochemical C-V, PITCS, PL, AES, and EPMA | |||||||||
| EAM5203 | Thermodynamics of Solid | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | English | Yes |
| The more detailed thermodynamic relations in solid solution and reaction will be discussed, which are based on the basic thermodynamic concepts. | |||||||||
| EAM5208 | Conductive Ceramic Materials | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | - | No |
| Up to now, the studies on the ceramic materials have focused on insulating and high heat-resisting properties based on classical physics. Recently, it is reported that some ceramics have semiconducting and conducing characteristics, which include oxides, nitrides, sulfides, and selenides. Thus, the fundamental physical properties and conducing mechanisms must be understood. In particular, these materials have wide application fields such as displays, sensors, energy storages, photonic devices, etc. In this course, the fundamentals principle on conducting ceramic materials will be introduced, and also novel devices, fabrication process, and device performance will be provided. | |||||||||
| 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. | |||||||||
| EAM5510 | Semiconductor Device Engineering | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | Korean | Yes |
| General discussion of the elctronic devices based on semiconductors is provided. Structure and operation principles of p-n junction, FET (field-effect transistor) and BJT (bipolar junction transistor) are discussed. Furthermore, principles of electronic devices utilizing heterojunction structures of semiconductor materials are introduced. | |||||||||
| EAM5514 | Nano-Device Engineering | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | - | No |
| New physical phenomena from the various nano-structured materials can be obtained. Device engineering concepts of electronic, optical, and bio-chemical utilizing various phenomena from nano-scale structures are introduced. | |||||||||
| EAM5607 | Materials for Display | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | Korean | Yes |
| Unerstand the characteristics of materials need for various display applications. Study their function in the display systems. | |||||||||
| EAM5702 | Advanced Independent Study on Materials EngineeringⅡ | 3 | 6 | Major | Master/Doctor | 1-4 | Advanced Materials Science and Engineering | - | No |
| Individual study on electronic and ceramic materials for student pursuing a Ph.D. degree on materials engineering | |||||||||
| EAM5743 | Semiconductor Pakage Engineering | 3 | 6 | Major | Master/Doctor | Advanced Materials Science and Engineering | - | No | |
| Packaging is an essential part of advanced semiconductor manufacturing and design. It affects power, performance, and cost on a macro level, and the basic functionality of all chips on a micro level. In this course, we will study the basic of advanced packaging materials and fabrication process to understand advanced semiconductors packaging technologies. | |||||||||