For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| BPC5006 | Biochip Design and Fabrication | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | English | Yes |
| The main objective of this course is to introduce the theoretical background and the relevant fabrication methods required to design and fabricate biochips to graduate students having backgrounds in either medicine or engineering. The course will familiarize the students with the biochip design process and fabrication techniques. The principles and applications of biochips will be reviewed. Students will perform laboratory exercises in (1) designing biochips for specified applications and (2) fabrication of the designed biochips. | |||||||||
| BPC5011 | Printed Bioelectronics and Biosensors | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | English | Yes |
| This course aims to introduce the basic principles and theories of fluidal and colloidal phenomena for applications in printed bioelectronics and biosensors. The course highlights various fabrication processes apart from conventional Si electronic device fabrication in which vacuum deposition and photolithography dominate. Upon taking this course, the student will garner fundamentals in the mechanism and function of printed biochips and sensors, and will ultimately be able to design novel biochips and biosensors. | |||||||||
| BPC5012 | Large-scale Additive Manufacturing Process in Biochip Production | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| This course aims to introduce the basic principles of large-scale additive manufacturing process as an environmentally benign and inexpensive approach towards biochip production. Upon taking this course, students will be knowledgeable of the production limits delineated by advanced additive manufacturing and apply these parameters toward designing a mass-producible biochip. | |||||||||
| BPC5013 | 3D printed chip design and fabrication | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| The main objective of the course is to introduce 3D bioprinting used in lab-on-chips to graduate students having a background in engineering. The course should familiarize the students with the techniques used in 3D bioprinting and show them how 3D printing technology pervades throughout various regenerative medicine. | |||||||||
| BPC5014 | IQB Colloquim1 | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | English | Yes |
| The main objective of the course is for IQB students to learn research topics in multiple areas, widen their insights, and consequently elevate their research. This course is composed of weekly seminars provided by speakers from SKKU and others with introductory to and recent publications in their multidisciplinary areas. | |||||||||
| BPC5015 | IQB Colloquim2 | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | English | Yes |
| The main objective of the course is for IQB students to learn research topics in multiple areas, widen their insights, and consequently elevate their research. This course is composed of weekly seminars provided by speakers from SKKU and others with introductory to and recent publications in their multidisciplinary areas. | |||||||||
| BPC5016 | Molecular Biophysical Methods | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| This course provides students with majors in physics, chemistry, engineering, and medicine, and graduate school students to understand biophysical knowledge of biomolecules and cells in order to learn relevant experimental methods in terms of handling biological samples. Students will learn how to classify and quantitatively analyze biomolecules and cells through specific, precise, and effective labeling, extraction, seperation, and detection techniques for biomolecules and cells in vitro. | |||||||||
| BPC5018 | Advanced Research for Quantum Biophysics1 | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| this class has been designed to enhance the knowledge and research power in the field of quantum biophysics so that students can provide competitiveness in their research for their thesis and lead the research in the undeveloped fields. | |||||||||
| BPC5019 | Advanced Research for Quantum Biophysics 2 | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| This class has been designed to enhance the knowledge and research power in the field of quantum biophysics so that students can provide competitiveness in their research for their thesis and lead the research in the undeveloped fields. | |||||||||
| BPC5021 | Quantum Biophysics and Application | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| This course aims to understand living cellular system by analyzing various phenomena of complex living things using quantum physics theory and methods. To understand and comprehend the quantum mechanical phenomena for the electron transport in proteins and nucleic acids in the nanoscale biological world, and how quantum mechanical phenomena affect the intracellular energy metabolism and signal transduction pathways in the cells. In addition, students will learn about quantum biological research methods by review the results of research papers in the field of integration of quantum physics and biology. | |||||||||
| BPC5023 | Quantum Life Science and Its Biomedical Applications | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | English | Yes |
| This course aims to learn the basic principles of quantum biophysics, which are essential for understanding quantum life science phenomena. This course is mainly composed of 3 parts, and aims to learn in detail 1) the basics of quantum physics, 2) the basics of quantum optics, and 3) the application of quantum biophysics. After this course, students will be able to understand and explain underlying quantum mechanical principles in photosynthesis, enzyme, magnetoreceptor, DNA mutation and human sensory system. | |||||||||
| BPC5024 | Quantum computing and brain | 3 | 6 | Major | Master/Doctor | 1-8 | Biophysics | - | No |
| Free discussion based Lecture - Research papers based lecture - Case research proposal - Practice of mock -up proposal presentation of own toptics | |||||||||
| CHS5005 | AI Startup and Entrepreneurship | 3 | 6 | Major | Master/Doctor | 1-4 | Challenge Semester | - | No |
| Recent years have witnessed a rapid increase in the number of so-called AI startups with AI as their core value, as the scope of AI's application across all industries has expanded significantly. This is gaining popularity not only in Korea, but globally as well. However, there are no theoretical or empirical guidelines regarding the entrepreneurial skills and business models that AI startups in a hypercompetitive market should possess. It is extremely harsh for those AI startups that are actually traditional businesses dressed up to look like they use AI to to succeed in a very competitive market. For AI startups with inadequate business acumen, gaining a foothold on the market is also a daunting task. By focusing on the following three goals, henceforth, this course aims to assist the growing number of AI startups with their challenges. Firstly, it categorizes the various possible business models for AI startup companies. Secondly, it then examines some of the most prominent domestic and international cases to illustrate the various types of entrepreneurship that AI startups require to thrive. Thirdly, a hypothetical AI startup is created, on a team basis, using real-world software such as Landbot, Stable Diffusion, and a number of no-code ML/DL (machhine learning/deep learning). Then its business model and entrepreneurship are established; and its efficacy is evaluated. | |||||||||
| CHS5006 | Optimization and performance evaluation of 3D printing | 3 | 6 | Major | Master/Doctor | 1-4 | Challenge Semester | - | No |
| Evolution of 3D printing application area is slow due to difficulty in developing contents, optimization and evaluation deposit process. We will discuss optimization techniques and evaluation of deposit process for DED based powder metal 3D printing. A real data set will be used for application of theory learned from the class. Furthermore, deep learning and machine learning techniques will be also covered. | |||||||||
| 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. | |||||||||