For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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 | |||||||||
| CLA7101 | AI-Assisted Research Methods for Linguistic Data | 1 | 2 | Major | Bachelor/Master/Doctor | Liberal Art | Korean | Yes | |
| AI-Assisted Research Methods for Linguistic Data is an interdisciplinary course designed for undergraduate and graduate students who wish to conduct research using linguistic data. Through step-by-step, hands-on activities, students engage in the entire research process—from identifying a research topic to collecting and preprocessing data, conducting experiments, visualizing results, and writing an academic paper—with the support of generative AI and a variety of AI-assisted tools. Upon completing the course, students will be able not only to independently carry out the entire process of linguistic data research but also to effectively select and utilize appropriate AI tools at each stage. They will also develop the ability to critically evaluate AI-generated outputs and apply them to their research in an informed, responsible, and independent manner. | |||||||||
| 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. | |||||||||
| DBA4007 | Marketing Management Seminar | 3 | 6 | Major | Bachelor/Master | 1-4 | Korean | Yes | |
| This course, as a survey course, examines classic and current issues in marketing management. Its primary objective is to expose students to diverse topics in marketing and to prepare students for other specific topic courses. Topics covered include branding, pricing, advertising, impacts of marketing on firm value, corporate social responsibility, etc. The course also seeks to provide skills in critiquing the literature, defining research problems and writing papers on the area of marketing. | |||||||||
| DBA4008 | Marketing Research | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| The purpose of this course is to provide participants with the skills needed to conduct basic market research studies, work with research departments and/ or companies to obtain the information needed for decision making and to evaluate and interpret research results. The course covers issues of basic data collection and analysis. Methodologies for designing new products, segmenting markets and positioning products. As business managers in every field and at every level are called upon to make decisions on the basis of collected information, most participants will find this course relevant, regardless of their chosen fields of specialization. | |||||||||
| DBA4009 | Contemporary Issues in Marketing | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course mainly address the contemporary issues related to the marketing. As the circumstances around the business constantly change, the environment of the market and consumer behavior are also changing rapidly. In this sense, students who attends this course will learn the recent theories and cases related to marketing phenomena. | |||||||||
| DBA4010 | Seminar in Consumer Behavior | 3 | 6 | Major | Bachelor/Master | 1-4 | Korean | Yes | |
| This course is designed to introduce graduate students majoring in marketing to basic research methodology and significant theoretical perspectices related to consumer behavior. The course will also offer opportunities for students to develop skills relevant to the conduct of behavioral resaerch in marketing. | |||||||||
| DBA4012 | Financial markets and Corporate Finance | 3 | 6 | Major | Bachelor/Master | 1-4 | Korean | Yes | |
| The goal of this graduate level course is to provide an introduction into current theoretical research in corporate finance and financial markets, covering a broad range of topics. Special attention will be paid to developing techniques for empirical data analysis. Students will also have a chance to practice written and oral presentation of their research ideas. | |||||||||
| DBA4014 | Investment Analysis | 3 | 6 | Major | Bachelor/Master | 1-4 | English | Yes | |
| This course provides students with the theories and practices of modern investment analysis. The topics to be taught include (a) different types of securities, (b) security markets and how securities are traded, (c) security analysis, (d) portfolio theory, (e) asset pricing models, (f) efficiency in financial markets, (g) behavioral finance, (h) portfolio management and evaluation, (i) bond yield and bond portfolio management, (j) introduction of derivative securities | |||||||||
| DBA4015 | Studies in Strategic Management | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course introduces various concepts and theories in strategic management. The objective is to enable the students to understand the basic concepts, theories, and research topics related to business and corporate strategies by reading and discussing academic papers. | |||||||||
| DBA4017 | Organization Theory & Design | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| Which organizational theory and design is needed to improve a firm's competitive advantage? What is organization theory & design and what type of structure is appropriate for team leaders and members. These are the questions that we consider in this course. We deal with these topics in a macro view. | |||||||||
| DBA4018 | Organizational Behavior | 3 | 6 | Major | Bachelor/Master | 1-4 | Korean | Yes | |
| Organizational Behavior is a field of study that investigates what people do in an organization and how that behavior affects the performance of organization. Topics include motivation, leadership, communication, decision making, organizational culture and organizational development. | |||||||||
| DBA4019 | Managerial Accounting | 3 | 6 | Major | Bachelor/Master | 1-4 | English | Yes | |
| Managers use cost and managerial accounting information for decision making in planning and controlling business activities. This course discussees research papers related to cost and managerial accounting. Topics include costing systems and issues for managerial decision-making based on accounting information. The course also introduces recent concepts like ABC, target costing, cost of quality, and strategic cost management. | |||||||||
| DBA4021 | Financial Accounting Theory | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course is an advanced level course of financial accounting theory. This course covers the major topics in accounting theory, such as the portfolio theory and the efficient market theory, the usefulness of accounting information, accounting disclosures, firm valuation mode1s, earnings management and conservatism, and the adoption of IFRS, As this course will be seminal-like, it will provide students with some generic skills required in the accounting profession such as communication, critical thinking, and team work. | |||||||||