For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CHS2003 | Robust System Design with Big Data Analytics and Artificial Intelligence | 2 | 4 | Major | Bachelor | 1-4 | Challenge Semester | - | No |
| In this course, the fundamental theories and methodologies on big-data analytics and artificial intelligence (AI) algorithms for prognostics and health management (PHM) of engineering systems are mainly covered. More specifically, the reliability analysis, sensor-based big-data collection, signal processing, statistical feature extraction and selection, and AI-based modeling are studied, and the hands-on practices are also carried out. In addition, various case examples are introduced to study the robust engineering system design using the big-data analytics and AI algorithms. | |||||||||
| COV4008 | Nonlinear dynamics and natural phenomena | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
SKKU Institute for Convergence | - | No |
| Although most of natural phenomena are nonlinear, standard curriculum usually teaches only linear differential equations due to simplicity in finding solution. This course teaches students analytic and numerical approaches of nonlinear dynamics which is essential knowledge in mathematics and physics. Students will be equipped with interdisciplinary knowledge which can be applied in a broad scope of natural phenomena. | |||||||||
| COV4008 | Nonlinear dynamics and natural phenomena | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
SKKU Institute for Convergence | - | No |
| Although most of natural phenomena are nonlinear, standard curriculum usually teaches only linear differential equations due to simplicity in finding solution. This course teaches students analytic and numerical approaches of nonlinear dynamics which is essential knowledge in mathematics and physics. Students will be equipped with interdisciplinary knowledge which can be applied in a broad scope of natural phenomena. | |||||||||
| 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. | |||||||||
| ECO3001 | Mathematical Economics | 3 | 6 | Major | Bachelor | 3-4 | Economics | English | Yes |
| This course deals with the analytical and the mathematical aspect of economic theory. It also deals with the game-theoretic analysis of various economic situations. Topics include general equilibrium theory, game theory and information economics. | |||||||||
| EEE3057 | Antenna Engineering | 3 | 6 | Major | Bachelor | 3-4 | Electronic and Electrical Engineering | Korean | Yes |
| The course begins with a brief introduction to antennas and propagation. Next, antenna concepts such as gain, directivity, and radiation patterns are introduced. The theory for impedance determination for dipole and loop antennas are presented. Then, the course treats the aperture-type antennas. The receiving properties of antennas are evaluated using the concepts of effective area, effective length, impedance match, and antenna noise temperature. Finally, a broad spectrum of topics related to radio-wave propagation is presented. | |||||||||
| ISS3151 | Corporate Finance | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| In an increasingly globalized world, firms increasingly deal with several stakeholders from all over the word. Combining local knowledge from different countries can create synergies that improve financial analysis and bring insights that make financial forecast less prone to errors. In this course we will look at companies from a financial perspective. The ultimate goal of corporations is to take on the best possible projects (e.g., a plant expansion) and finance them the best way possible (e.g., issuing debt or equity). The time and uncertainty of investment payoffs make these problems nontrivial and essential for long-term success. Corporate finance answers the following questions: (a) Valuation: How can we value and choose projects? What is the value of a company? (b) Capital Structure: Should corporations obtain financing? For which projects? How? The aim is to give you a framework to understand and answer these issues in theory and in practice. We will see how to apply discounted cash flows to value bonds, stocks and other risky projects; we will use estimate a firm's cost of capital and different corporate valuation methods. | |||||||||
| ISS3159 | Understanding International Finance, the Global Economy, and Exchange Rates | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| Exchange rates, foreign currency and international finance are essence in the global economy. Government repays overseas debt, companies make contracts on exporting/importing goods with foreign ones and fund managers invest clients’ money in overseas assets. All these economic activities are ultimately related to foreign exchange risk. Therefore, we will face serious economic losses without understanding international finance. This motivates us to study international finance. This course assumes that attended students have no background in finance and starts by introducing students to the foundations of financial theory. Students then learn the foundations of international finance focusing on foreign exchange rates. This course further introduces more advanced topics such as international asset pricing and currency risk management which are being actively used in the real world. In addition, students acquire skills in data analysis using Excel with Visual Basic for Applications. This exercise is very useful for students not only to prepare for their group works in this class, but also to do empirical analysis in both academics and industry. | |||||||||
| ISS3173 | Heat Transfer | 3 | 6 | Major | Bachelor | - | No | ||
| Basic principles of heat transfer will be discussed in this lecture. Main topics includes the followings. - Conductive heat transfer, - Convective heat transfer, - Radiation and applications of heat transfer | |||||||||
| ISS3198 | Artificial Intelligence | 3 | 6 | Major | Bachelor | - | No | ||
| This course aims to teach the fundamentals of artificial intelligence starting with the concepts of intelligence, rationality and intelligent agents. Next, it will probe into problem solving, introducing the notion of search by drawing examples from puzzles and games amongst others. Then, the basics of knowledge representation and reasoning, such as logic and planning will be explored. Machine learning, a fast growing subfield of A.I. will also be covered focusing on technologies and real-world applications such as games, biomedical applications, social networks and smart technologies. Further topics (time-permitting) include the impact of major A.I. areas such as robotics and computer vision, natural language and speech processing in our society today. This is an introductory course and would be suitable for anyone interested to delve deeper into A.I. in the near future. Students will be given assignments that do not require any programming. | |||||||||
| ISS3216 | Principles of Finance | 3 | 6 | Major | Bachelor | - | No | ||
| This course provides an introduction to the fundamental concepts and techniques of finance and might be subtitled “what every business major needs to know about finance.” It is designed to provide students a foundation with regard to the key concepts from each of three major areas of finance — investments, financial markets and corporate or managerial finance. In the class, we will discuss issues relating to the financial markets, the time value of money, financing, valuation, investments and other topics. | |||||||||
| ISS3222 | Introduction to Machine Learning | 3 | 6 | Major | Bachelor | - | No | ||
| Covers fundamental concepts for intelligent systems that autonomously learn to perform a task and improve with experience, including problem formulations (e.g., selecting input features and outputs) and learning frameworks (e.g., supervised vs. unsupervised), standard models, methods, computational tools, algorithms and modern techniques, as well as methodologies to evaluate learning ability and to automatically select optimal models. Applications to areas such as computer vision (e.g., characte r and digit recognition), natural language processing (e.g., spam filtering) and robotics (e.g., navigating complex environments) will motivate the coursework and material. | |||||||||
| ISS3224 | Data Visualization | 3 | 6 | Major | Bachelor | - | No | ||
| This course explores the field of data visualization. Topics cover the expanse of visualization from data preparation and cleaning to visualization types such as time series, box plots, and violin plots. Included in our study are visualization tools, online interactive visualizations, and other issues related to the display of big data. | |||||||||
| ISS3233 | Statistics in Python | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| This course will cover elementary topics in statistics using Python. The statistics topics include principles of sampling, descriptive statistics, binomial and normal distributions, sampling distributions, point and confidence interval estimation, hypothesis testing, two sample inference, linear regression, and categorical data analysis. Using Python, students will learn basic knowledge in Python programming, data management, data formats and types, statistical graphics and exploratory data analysis, and basic functions for statistical modeling and inference. | |||||||||
| ISS3287 | Understanding Game Theory | 3 | 6 | Major | Bachelor | - | No | ||
| This course is intended to familiarize economics majors with game theory and its applications. It first considers how to set up and solve games. It then considers topics such as strategic entry deterrence, strategic choice of managerial incentives, games between a principal and an agent, auctions, bargaining, strategic trade policy, public goods, and club goods. | |||||||||