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. | |||||||||
| ETM5008 | Technological Forecasting | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| "This lecture mainly deals with technology forecasting; how to do technology forecasting; how to apply it in specific decision situation; how to avoid some of the more common error; and difficulties in the preparation of individual forecast. Exploratory forecasting techniques such as growth curve, trend extrapolation, correlation methods, causal models are introduced. Scenarios, cross-impact models, relevance trees, application of technology forecasting in planning are also dealt with. " | |||||||||
| ETM5010 | Project Control | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | - | No |
| Learn about the cost, schedule, quality level of customer satisfaction and risk management and efficient operations for successful project management Learn how to analyze the uncertain factors surrounding a company or project environment, anticipate the impact on a company or project, and proactively prepare to maximize profit and value from each other | |||||||||
| ETM5011 | Technology valuation | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| Studying to evaluate value of a technology. Learn Technology Evaluation, technology valuation etc. | |||||||||
| ETM5013 | Organization Personnel Management | 3 | 6 | Major | Master/Doctor | 1-4 | Management of Technology | Korean | Yes |
| Research and development more effective?formation culture studying that serve that propel efficiently. This study deal with how investigator motivation is higher, leadership, achievement management and evaluation. | |||||||||
| GSGE001 | Startup and Engineering | 2 | 4 | Major | Bachelor/Master | 1-5 | Korean | Yes | |
| The purpose of this course is to provide overall engineering background to non-engineering major graduates for technology based startup and/or start-up consulting such as engineering principals, applications, trends and updates in information communication, mechanical, electrical, electronic, industrial, environmental, bio-technology & etc. | |||||||||
| GSGE002 | Advanced Management of Startup | 2 | 4 | Major | Bachelor/Master | 1-5 | Korean | Yes | |
| This course is to study the systematical meaning of the corporate management to become a successful entrepreneur, focusing on understanding and applying it. Graduates will review processes to maximize the corporate value from allocating human resources and materials to providing finished products or services to markets in macro and micro-management perspectives. | |||||||||
| GSGE005 | Method of Startup Consulting | 2 | 4 | Major | Bachelor/Master | 1-5 | Korean | Yes | |
| This course is to study a variety of consulting methodologies for startup consultants to give an effective consulting to startup companies. Startup consultants are person who plays the 2nd most important role for startups, next to the founders. Especially in the early days of the startup, the founder has tons of works to be done by himself without sufficient assistance from internal staffs. Therefore it is essential for the startup to get helps from external experts. | |||||||||
| GSGE006 | Business Model Development | 2 | 4 | Major | Bachelor/Master | 1-5 | - | No | |
| Students will learn to assess business concept and the hypothesis. Contemporary startup environment is very complex. Life cycle of the technology is very short. In such a rapidly changing environment, students will learn how to capture the benefits of business items and opportunity. Students can learn how to write a business plan and theories through this process. | |||||||||
| GSGE008 | Startup‘s New Product Development | 2 | 4 | Major | Bachelor/Master | 1-5 | Korean | Yes | |
| This course is aimed at the mapping of customer's need and technical specifications. In this methodology, students will learn how to provide customers satisfaction. Furthermore, students can learn the methodology to derive the key features from the customer's requirements. | |||||||||
| GSGE009 | Patent Law & Strategy | 2 | 4 | Major | Bachelor/Master | 1-5 | Korean | Yes | |
| The importance of intellectual property has become more emphasized. In this course, students are to understand the patent system, building a patent portfolio and learn strategies to resolve patent infringement. | |||||||||
| GSGE011 | Venture Growth Strategies | 2 | 4 | Major | Bachelor/Master | 1-5 | - | No | |
| Venture company is based on technology start-ups. Students will learn about the company's growth and growth management and related elements for the top venture firms. In growth stage, students will learn about financing and investment growth, and marketing strategy. | |||||||||