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For more details on the courses, please refer to the Course Catalog

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CHS5001 Intensive Finance Research Seminars with Top Scholars 3 6 Major Master/Doctor Challenge Semester - No
The purpose of the course is to expose SKKU students to path-breaking works in the past, recent developments in financial theories, and newly documented empirical evidence published in top-tier journal articles. Invited scholars may also introduce students to their research areas by providing students with an in-depth review of their own work and other related papers. The course will equip SKKU students with the knowledge and methodological tools required to write scholarly articles that are potentially publishable in top-tier journals in finance and related fields. The course would offer SKKU students an opportunity to directly work with prominent scholars, potentially leading to high-quality papers that are publishable in top-tier journals. Through the course, invited scholars would share their personal experiences with SKKU students in generating new research ideas, executing those ideas, writing-up the manuscript, and interacting with journal editors and referees, providing students with an invaluable opportunity to learn how the whole process works. The invitation could also help promote scholarly collaborations between visiting scholars and SKKU faculty members in the area of common interests.
CHS5002 Intensive Market Microstructure Research Seminars 3 6 Major Master/Doctor 1-4 Challenge Semester - No
The course covers topics related to market microstructure such as information asymmetry, liquidity, trading, and price efficiency. Course materials include pathbreaking works in the past, recent developments in theories, and newly documented empirical evidence. The course will help equip students with the knowledge and methodological tools required to write scholarly articles that are potentially publishable in leading journals in finance and related fields.
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.
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
CHS7005 Consumer Neuroscience 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
A new market and consumer research methodology, consumer neuroscience method, will be explored in this class. Understanding consumers’ brain responses to brand using eyetracker and functional near infraredspectroscopy experiments is a goal of this study. Eyetracking and fNIRS will provide a new means of measuring brand equity as consumers’ brain responses will reflect their attitude, engagement, and and loyalty.
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.
DBA4002 Managerial Decision Making 3 6 Major Bachelor/Master 1-4 - No
This course is poised to equip students with the theoretical basis for improving decision quality which is required in all the echelons of management in modern firms. Especially, this course is designed to incorporate the computer skills to practically enhance one's decision making ability in the management environment. Besides, to help maximize student's ability in practice fields, the topics of the course are, the usage of Excel, linear programming, forecasting, regression, etc. Furthermore, the cases of decision making and decision support system will be taught and the student will be required to learn DSS mechanisms and also to develop DSS to solve complex managerial problems. This course is designed to provide practical skills and ability to develop DSS by which decision making problems are solved, as well as appropriate theoretical contents.
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 - No
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.