For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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. | |||||||||
| ERC5001 | Global Collaboration Research | 3 | 6 | Major | Master/Doctor | Engineering | Korean | Yes | |
| This class aims to enhance global competence as a researcher who study innovative growth fields through overseas dispatch of graduate students. Student’s who are dispatched overseas and carrying out joint research in world university will learn - to establish global network for future research - to strive for the creation of new industries in the field of sustainable development and innovative growth of mankind - to grow into global innovative leader with the competence of ‘Value creation’, ‘Convergence’, ‘Innovation’, and ‘Collaboration’ through innovation in creative convergence experiences that which cross the intercultural, interdisciplinary and intergeneration. In this class, students are expected to focus on projects during the overseas dispatch period to improve the quality of their research. Each researcher will present final report after they complete dispatch study and will be given their credit based on the presentation. | |||||||||
| ERC7001 | Understanding and Utilizing the Metaverse Platform | 3 | 6 | Major | Bachelor/Master/Doctor | Engineering | Korean | Yes | |
| The main purpose of this course is training that equips students with metaverse-based business or service planning capabilities based on understanding of the technical elements consisting of the metaverse and hands-on experiences with major platforms and related devices. Opportunities to understand the characteristics and uses of each technical component, to study the cases of major services, and to identify strengths and weaknesses from the user's point of view through experience are given, and furthermore, the ability to derive creative ideas for the use and improvement of metaverse services is cultivated. do. | |||||||||
| ERC7002 | Understanding and Utilizing NFT | 3 | 6 | Major | Bachelor/Master/Doctor | Engineering | - | No | |
| The main purpose of this course is to educate students to have business or service planning skills using NFT based on understanding of the concept and underlying technology of NFT, related digital economic ecosystem, examples of NFT projects, and hands-on practice of NFT production and sales. It includes a basic understanding of blockchain and cryptocurrency, which are the base technologies of NFT, and digital art and digital assets, which are the major existing applications. Through learning about major project cases, legal considerations, market analysis tips, and technology trends, students will develop the ability to derive creative ideas for a wide range of future uses. | |||||||||
| ETM5009 | Technology Planning | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| Present concept and method about strategic technology plan and estimation to link strategy of R & D and formation effectively. Studying with extent of R & D strategy and establishment plan, know-how and market estimate plan, management by objectives about research and development, R & D's measurement and estimation plan in corporate strategy | |||||||||
| ETM5065 | Technology Commercialization | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| Korean industries have to be changed from manpower-based into technology-based. R&D investment (input) is increased in fast speed, and so business output must be increased effectively and efficiently. The subject of "Technology Commercialization" will contribute to the level-up of R&D productivity (output/input) by accomplishing knowledges of basic concept, methodologies and various case studies in the area of technology commercialization. | |||||||||
| ETM5097 | AI Data based Technology commercialization exercise | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | - | No |
| This course introduces the basic theory and algotirhm of AI/Data-based technology commercialization methodologies. The underlying theories of KISTI's practical commercoalization models will be introduced with some practical examples. | |||||||||
| ETM5104 | R&D and commercialization of energy technologies | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| In this course, the understanding of the overall energy industry is enhanced by understanding the market status of the energy industry and the main technologies of each energy source. It learns about future energy technology development trends through R&D status and technology roadmap in the energy field, also predicts environmental changes in future society using scenario planning techniques, and builds development scenarios for the future energy industry. We derive promising industrial fields according to future scenarios, build a business model for the target industrial field using the business model canvas, and design a business strategy. 1. Market status of the energy industry: Key issues in the energy industry 2. Introduce each energy source and understand key technologies : Existing energy, renewable energy, energy systems 3. R&D status and technology roadmap in the energy sector: R&D status of energy industry 4. Scenario Planning Techniques: Key issue finding, Procedure for scenario planning 5. Environmental changes in the future society and the discovery of promising industries : Future scenario design 6. Business Model Canvas: Definition and 9 blocks, Design process 7. Design commercialization plan in target industrial field: Review of acceptability, feasibility and viability | |||||||||
| SFC5007 | Smart Factory Cloud Platform | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course provides an overview of many commercial cloud platforms, its high-level architecture and technology stack and guide students through these cloud platform concepts, its features and how cloud platform can be used to deploy, configure and manage cloud environments, software defined networks, and software defined storage solutions. Also, this course provide hands-on experience with cloud platform components for bare-metal provisioning, deployment and configuration management, networking, and monitoring. | |||||||||
| SFC5010 | Smart Factory Augmented Reality and Virtual Reality Applications | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course deals with Virtual Reality (VR) and Augmented Reality (AR) in manufacturing. The use of VR and AR in manufacturing is not fiction. Working and collaborating in virtual and augmented realities can boost productivity in every phase of the industrial development process - from initial design to assembly optimisation. Despite the set-up cost, more and more manufacturers are realising that these mind-altering environments provide a huge opportunity to save time and money. | |||||||||
| SFC5011 | Intelligent Robot and Artificial Intelligence Applications | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course provides students with a working knowledge of methods for design and analysis of robotic and intelligent systems. And Artificial Intelligence (AI) focuses on the development and analysis of algorithms that learn and/or perform intelligent behavior with minimal human intervention. Particular attention is given to modeling dynamic systems, measuring and controlling their behavior, and making decisions about future courses of action. The content is necessarily broad, and the course level is introductory. | |||||||||
| SFC5015 | Industrial Artificial Intelligence | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | - | No | |
| Artificial Intelligence (AI) is a research field that studies how to realize intelligent human behavior on a computer. The ultimate goal of AI in the industry is to create computers that can learn, plan and solve problems autonomously. AI has been studied for more than half a century, but it is not possible to make computers as intelligent as humans in every way. But there are many successful applications. In some cases, computers with AI technology can be much smarter than we are. AI's main research topics in industry include problem solving, reasoning, planning, understanding natural language, computer vision, automatic programming, and machine learning. Of course, these themes are closely related to each other. For example, knowledge gained from learning can be used for both problem solving and reasoning. Indeed, problem-solving skills must be acquired through learning. Problem solving is also useful for reasoning and planning. In addition, methods developed in the field of pattern recognition can be used to solve both natural language understanding and computer vision. This course studies the most basic knowledge of AI understanding in industry. Students will learn some basic search algorithms such as knowledge representation and reasoning, pattern recognition, fuzzy logic, and neural networks for problem solving. | |||||||||
| SFC5018 | Smart Factory ConvergenceTechnologySeminar | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| In this course, you will learn the latest issues in the field of smart factory convergence technology and expertise related to the application of intelligent information technology through seminars of external experts. Futuristic manufacturing system that combines smart factory convergence technologies such as cloud/edge computing, IoT sensor data, digital twin, AI-based vision, and RPA to the existing manufacturing environment to maximize data value, optimize operations, and integrate quality management It is important. This course highlights understanding and prospects for smart factories, analyzes major convergence technologies, and learns strategies and methodologies for developing various digital manufacturing systems and solutions. | |||||||||
| SFC5019 | Manufacturing Big-data Analytics | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | - | No | |
| This course deals with a broad outline of big data technologies. In order to understand the basic fundamentals of big data technologies, this course firstly introduces the state-of-the-art big data technologies which are currently being developed. In addition, the principles of HDFS, Map Reduce, and NoSQL are introduced. This course also presents the recent development trend of real-time big data processing such as Storm, Kafka, and Spark Streaming. The course has an additional focus on Machine Leaning & Data Science developed to advance data science skills that are often required to implement big data projects in manufacturing. Finally, each student designs and implement a big data system in order to resolve a given problem in manufacturing. | |||||||||
| SFC5022 | Internet Technology for Industrial Things | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | - | No | |
| Theory of general terms in this subject is being put to use the Internet of Things in industry technology and introduces the application. Internet of Things, in particular, structures, various objects for Internet services, Internet of Things, service development through the Internet of Things and simple Internet of Things to introduce application development.Learn how. In addition, network, devices, the network, application technology platforms and services in order to learn and understand the project different devices and platforms.Learn the skills needed to deploy the platform by industry. | |||||||||