Seoul Business School

Sat, Sun (4 days)

15 hrs

S1997

AI and Management Mathematics

Understand the core of management mathematics to understand the algorithm of weights adjustment and reversals, the core structure of deep learning.

Shin, Ho Sang

Dean of Academics Affairs

Sat, Sun (4 days)

15 hrs

S1994

AI and Management Philosophy

To examine the utility and limitations of survey-based structural equations used mainly in business studies and to understand the philosophy that can improve rationality and objectivity of research based on data science and AI.

Sat, Sun (3 days)

30 hrs

S1987

AI and Management Science

Understand the structure of statistics, data mining, machine learning, and deep learning, and learn how to apply it as a management science problem solving technique.

Fri, Sat (4 days)

24h

AI and system dynamics

Students will learn systematic thinking, system dynamics methodology and artificial intelligence mechanisms.

Shin, Ho Sang

Dean of Academics Affairs

Fri, Sat (4 days)

24h

S1954

Advanced system dynamics and model design

Students will model the token economy problem situations by using System Dynamics' Stock Flow Diagram (SFD). Through this, students will establish a practical crypto strategy and discover a policy lever.

Shin, Ho Sang

Dean of Academics Affairs

Fri, Sat (4 days)

24h

S1951

Analysis and practice of blockchain data

Students will learn how to efficiently explore and analyze the vast data generated by public blockchains. Beginning with exploratory data analysis (EDA) of blockchain data, students will learn how to use R to quantitatively analyze various analysis libraries and to derive insights and strategic points. Through this, this course aims to cultivate the ability to establish and manage crypto management strategies.

Yun, Seok Yong

Adjunct Professor

Fri, Sat (4 days)

24h

Behavioral Economics for Managers

This course aims to understand and acquire the basic concepts of behavioral economics that appeared as an alternative to neoclassical economics for MBA students. The basic logic of existing economics is summarized in this course and behavioral economics is dealt with. In particular, basic concepts of behavioral economics, including criterion dependency, loss avoidance, context specificity, and importance of early alternative, are acquired through many examples of real economic society. Based on the learning the behavior economics, it improves the understanding of phenomena that are unreasonable in marketing or financial markets.

Hong, Hoon

Professor

Fri, Sat (4 days)

24h

S1817

Big Data Methodologies & Techniques

Big Data Analysis Procedure and Practical Practice.

Yun, Seok Yong

Adjunct Professor

Fri, Sat (4 days)

24h

Blockchain and Digital Currency

The course provides the latest artificial intelligence algorithms and business application strategies. Students can understand the essence of AI/Deep learning in technology perspective and business perspective 1) core algorithms of AI, 2) basic history of developing AI, 3) cutting edge case of AI based business application, and 4) how to discriminate AI, machine learning and deep learning.

Fri, Sat (4 days)

24h

Blockchain and the Digital Economy

Students will learn the technical principles and ideas of encryption algorithms and decentralized systems, through which they will understand the innovation mechanisms of digital finance and the digital economy.

Fri, Sat (4 days)

24h

Behavioral Economics for Managers

Hong, Hoon

Professor

Fri, Sat (4 days)

24h

Blockchain and Digital Currency

Fri, Sat (4 days)

24h

Capstone Module

A basic objective of this course is to integrate the specialized areas of business administration by requiring the student to analyze and make strategical and operational decisions in the environment of a computer processed management simulation. Students will be placed in management teams and each management team will run their own company. The various companies will compete in an industry. Each company's management will be responsible for exercising all management, marketing and financing functions as well as making all decisions required in the "running of a business" which will impact the company's performance in the manufacturing and sale of consumer related products in a global environment.

Shin, Ho Sang

Dean of Academics Affairs

Fri, Sat (4 days)

24h

Corporate Finance

This course provides students with opportunities to apply a broad spectrum of financial principles to the analysis of realistic corporate financial situations. The course explores the numerous foundation concepts of modern financial management in-depth. These concepts are used to develop practical solutions to common financial problems.

Kim, Chul Joong

Professor

Fri, Sat (4 days)

24h

Design Management

This course provides students with understanding on the nature of design economy, the concept of design promotion, and its application to the business. The topics will include: Design, Image, Brand, Design Management, and Design Promotion. It will also cover the latest internal and external cases and their application to the businesses.

Kim, Bo Young

Professor

Fri, Sat (4 days)

24h

International Business

The module provides an overview of key issues, opportunities and challenges in international business. We shall assess globalization and the consequent changes in firms’ operating environment, and analyse the needs to adjust firms’ strategies due to these changes. The module covers key concepts and principles of conducting business in the international dimension, including issues in various functions, such as marketing. Ethical and social responsibility considerations are covered, including topics such as bribery, environmental issues. Attention is paid to two topical themes: the potential changes in regional economic blocks and the management of international strategic partnerships. The purpose of the module is to a) present the most important forces affecting international business today, b) assess various international strategies, and c) present the ways to organize, coordinate and control international activities. Main contents of the module: global business environment, internationalization and globalization of firms and industries, competitiveness, cultures, economic integration, international marketing and HRM. The objectives of the module are: to learn the tools and frameworks to analyze foreign markets, to assess various alternative modes for doing business internationally, and to organize especially marketing and HR activities internationally. The learning outcomes are: enhanced awareness of differences in foreign business environments, and ability to choose appropriate modes for different international business environments.

Seristö, Hannu

Professor

Fri, Sat (4 days)

24h

Management Accounting and Control

This module provides an understanding of the relevance of financial and related information, for managers and other persons inside organizations, to make strategic, organizational, and operational decisions. Emphasis is on how cost information can be used to support various decisions. Besides supporting decision-making, management control systems are crucial to ensure that strategies are translated into action. The module covers contemporary alternatives for control system design. Management accounting and control systems constitute a core of what is called "corporate performance management" today. The main objective is to help participants to be more effective in using management accounting information and various other control mechanisms to increase their competitive advantage.

Malmi, Teemu

Professor

Fri, Sat (4 days)

24h

Management Communication

This module explores key communication skills and strategies that enable managers to communicate effectively within organizational contexts. The class examines current theories of communication strategy and provides decision-making frameworks and analytical tools that allow participants to plan and deliver effective messages. Students also have opportunities to practice, improve, and receive feedback on their skills as business presenters, business writers, and interpersonal communicators.

Baker, Michael

Lecturer

Fri, Sat (4 days)

24h

Personal and Organizational Leadership

Importance of human resources as a competitive weapon has become very critical, as the world becomes extremely competitive. Management of human resources requires a thorough understanding of the dynamic interactions among employees, and between employees and organizations as well.

Shin, Je Goo

Adjunct Professor

Fri, Sat (4 days)

24h

Quant Investing

This course provides an overview of quant investment. We will not only cover theories related to the modern quant investment, but also apply these theories to the real data for backtesting. Finally, you will be able to use the modern quant methods in your investment life.

Fri, Sat (4 days)

24h

Statistics & Decision Models

The purpose of this course is to give students an understanding of statistics and optimization in managerial decisions. This course provides computer programs to implement MS/OR and other statistics, as well as data analysis and management science in a business environment. Students will develop practical application of the tools and techniques approaching decision making.

Park, Cheong Yeul

Chair of Doctorate Program

Fri, Sat (4 days)

24h

Strategic Human Resource Management

Management is basically about getting things done through people. This course is intended to address how corporations can and do manage human resources as a source of competitive advantage. The course will expose the participants to the intersection between human resource management (HRM), competitive strategy, and the management of multinational firms. The purpose is not to get into technical details of HRM that are best left to specialists; rather, the course adopts the perspective of the general manager who addresses human resources topics from a business perspective.

Nam, Sang Hoon

Adjunct Professor

Fri, Sat (4 days)

24h

Strategic International HRM

Nam, Sang Hoon

Adjunct Professor

Fri, Sat (4 days)

24h

System Dynamics

The purpose of this lecture is to provide students with a basic understanding of the complexity and introduce them to the system dynamics techniques, one of the efforts to address the complex system. It identifies the structure of the system consisting of positive feedback loops and negative feedback loops, so that it can also understand the complex world with simple principles. It consists of exercises to prepare CLDs(Causal Loop Diagrams), which are Architypes of CLD, understanding and application of causal loops, and case solving.

Shin, Ho Sang

Dean of Academics Affairs

TBA

22.5h

S1897

Business Project B

Second part of course-pair TMP577 & TMP578. Students take the issues formulated during Part A of this pair of courses and proceed to implement the research plan also developed in that course. Part B of this pair of courses involves detailed data collection, analysis, and reporting of results. This course is intended to commence three-quarters of the way through the program and to be taken concurrently with the next several courses. Submission of the project report and a formal presentation of results are required near the end of the program.

Kim, Jong Shik

Chair of SBU Dual-degree Program (MS-TM)

Fri, Sat (4 days)

22.5h

S0041

Human Resources Management for High Technology

Survey of issues in personnel recruitment, employee selection and classification, workforce evaluation, wages, benefits, regulations, unionization, training, quality management, and employee performance in high technology settings.

Kim, Jong Shik

Chair of SBU Dual-degree Program (MS-TM)

Fri, Sat (4 days)

22.5h

S0003

Leadership, Team Effectiveness and Communication

This course focuses on business leadership, teamwork and communications. It seeks to answer the following three questions: What do leaders really do? What makes teams effective? How do you create persuasive communications? The course addresses such topics as power and influence, leading organizational change, managing corporate crises, building motivated teams, and developing strategic communications.

Lily Blocker

Associate Professor

Fri, Sat (4 days)

22.5h

S0008

Managerial Accounting for High Technology Organizations

Development and presentation of accounting information for managerial decision making in a global technological environment. Topics include budgeting, forecasting, profit analysis and planning, performance evaluation, transfer pricing, capital budgeting, performance measurement, and cost control.

Kim, Il Woon

Professor

Fri, Sat (4 days)

22.5h

S1371

Negotiation Strategy

This course is designed to equip students with the basic theories and skills of negotiation.

Park, Hun Joon

Fri, Sat (4 days)

22.5h

S0039

Operations Management for Technology Organizations

Introduction to the analysis and measurement of processes for creating and delivering goods and services. Covers trade-offs in operations management decisions, product and process planning, layout and location strategy, production scheduling, inventory control, quality management, computer integrated manufacturing, and cost justification, especially in the adoption of new technologies.

Choi, Jeong Wook

Fri, Sat (4 days)

22.5h

S0005

Organizational Behavior

An approach to understanding the behavior of individuals in organizations is developed with emphasis on implications for effective management. This approach is used to analyze decision problems encountered in managing human resources.

Lily Blocker

Associate Professor

Fri, Sat (4 days)

22.5h

S0045

Role of Technology Standards

Second part of course-pair TMP591 & TMP592. Introduction to salient issues facing managers of enterprises involved in the development and implementation of new technologies. Use will be made of case histories and presentations by technological managers and innovators, wherever possible. Part B of this pair of courses will concentrate on the role of technical standards in the dynamics of competition between firms in high technology industries.

Kim, Jeong Joong

Fri, Sat (4 days)

22.5h

S0060

Technology Management and Strategy

Concepts and techniques of strategic management are examined and applied to relevant cases involving technology management. The class synthesizes all elements of the program and examines how an organization can plan and develop initiatives, evaluate their effectiveness, and manage the change process with an emphasis on corporate strategy.

Kim, Han Earl

Fri, Sat (4 days)

22.5h

S1558

Technology and Entrepreneurship: Technological Innovations

Lily Blocker

Associate Professor

Fri, Sat (4 days)

24h

S1817

Big Data Methodologies & Techniques

Big Data Analysis Procedure and Practical Practice.

Yun, Seok Yong

Adjunct Professor

48h

S0093

Business Project and Thesis Writing

In this course, students will choose an interesting subject and work independently. The theme must either be in a practical thesis format or as a case study analysis.

Fri, Sat (4 days)

24h

S1819

Data-Driven Decision Making and Strategies

Digitizing business definition, Digitizing business type(existing companies), Digitizing business type (venture companies), Facts of business, Corporate strategy and roadmap.

Fri, Sat (4 days)

24h

S1835

Digital Marketing

Digital Marketing Strategy Based on Data Analysis, Search + homepage tracking analysis, SNS channel marketing techniques, Drawing marketing points through Buzz analysis.

Lee, Jin Hyeong

Adjunct Professor

Fri, Sat (4 days)

24h

S1888

IP Strategy for Big Data Business

This course covers the broad agenda of using intellectual capital for competitive advantage. With ICT convergence technology, intangible assets such as human capital, intellectual property, brands and relationships have become the dominant proportion of a firm's market capitalization. The main forms of IP-patents, registered designs, trademarks, copyright and trade secrets will be explained in relation to product and services. This course adopts a "lifecycle" approach to the management of an intellectual asset, covering the creation of the intellectual asset, the codification of the asset in the form of intellectual property (IP), the valuation of intellectual assets, the protection of intellectual assets and leveraging of intellectual assets into future markets for growth.

Ko, Young-Hee

Professor

Fri, Sat (4 days)

24h

S1913

IT Basics

This course focuses on basic knowledge for dealing with big data and what IT-related tools (programs) are needed.

Fri, Sat (4 days)

24h

S1640

Introduction to Statistics

Probability theory, probability distribution, hypothesis test, regression analysis, ANOVA, nonparametric statistics.

Fri, Sat (4 days)

24h

S1981

Management Science Techniques and Big Data Research Methodology

This course explores management science techniques that can be used to handle data scientifically in decision-making situations arising from various business environments such as marketing and strategy. In particular, we will deal with Conjoint techniques, DEA & SFA, AHP/ANP, probability models of business(Marcov chain, Poisson probability, etc.) and learn how these techniques can be used for data analysis with big data techniques.

Fri, Sat (4 days)

24h

S1641

Multivariate Statistics

Multiple regression analysis, factor analysis, cluster analysis, discriminant analysis, logit analysis, k-NN technique, CART

Fri, Sat (4 days)

24h

S1687

Python I

An introduction to Python and Advanced Programming Practice

Fri, Sat (4 days)

24h

S1714

Python II

An introduction to Python and Advanced Programming Practice

Fri, Sat (4 days)

24h

S1898

Python III

An introduction to Python and Advanced Programming Practice

Fri, Sat (4 days)

24h

S1815

R I

R statistics Practice (basic statistics to advanced practical examples)

Park, Dong Ryeon

Adjunct Professor

Fri, Sat (4 days)

24h

S1816

R II

R statistics Practice (basic statistics to advanced practical examples)

Park, Dong Ryeon

Adjunct Professor

Fri, Sat (4 days)

24h

S1642

RDBMS and SQL

EDW, SQL, RDB, OLAP, Java, ERP, CRM, Business Intelligence

Park, Do Hyun

Fri, Sat (4 days)

24h

S1886

Review of Mathematical for Big Data Analysis

Mathematical reviews such as matrix, differential, integral and regression analysis for Big Data Analysis

Fri, Sat (4 days)

24h

S0769

Strategic Management

Leading-edge organizations in today’s business world recognize the value in human resources and the competitive advantage that can be gained through state-of-the-art human resource management.

Ko, Young-Hee

Professor

Fri, Sat (4 days)

24h

AI and system dynamics

Students will learn systematic thinking, system dynamics methodology and artificial intelligence mechanisms.

Shin, Ho Sang

Dean of Academics Affairs

Fri, Sat (4 days)

24h

S1954

Advanced system dynamics and model design

Shin, Ho Sang

Dean of Academics Affairs

Fri, Sat (4 days)

24h

S1951

Analysis and practice of blockchain data

Yun, Seok Yong

Adjunct Professor

Fri, Sat (4 days)

24h

Blockchain and the Digital Economy

48h

S0093

Business Project and Thesis Writing

In this course, students will choose an interesting subject and work independently. The theme must either be in a practical thesis format or as a case study analysis.

Fri, Sat (4 days)

24h

Climate change and crisis response strategy

Students will learn background knowledge of climate changes for analyzing and modeling of COVID-19 crisis data.

Lee, Mi Gyung

Fri, Sat (4 days)

24h

S1946

Cryptoeconomics

Crypto assets, such as Bitcoin and Ethereum, store hundreds of trillion won of assets by combining cryptographic algorithms with economic factors, such as game theory and mechanism design. Furthermore, the emergence of Facebook's cryptocurrency Libra and China's central bank digital currency (CBDC) are further accelerating the cryptocurrency era. This course introduces major consensus algorithms based on cryptography and focuses on their effects on existing economics.

Fri, Sat (4 days)

24h

S1950

Data-driven decision making and strategy

Students will define digitizing business and learn different types of digitizing business with case studies of existing and venture companies. Through this, students will learn the corporate strategy and roadmap based on data.

Fri, Sat (4 days)

24h

S1948

Digital China

Tencent's market cap is twice that of Samsung Electronics and Alibaba's market cap is 50 times that of Coupang. In fact, all of the top three global AI visual recognition firms are Chinese firms. China has surpassed the U.S. in digital market and ranked first in the global market. According to Forbes 500 company rankings in 2019, the number of Chinese companies surpassed that of U.S. This course examines the components and core strategies of Digital China.

Huang, Fei

Head China Program

Fri, Sat (4 days)

24h

S1947

Digital Strategic Planning Research Studies

Although social interest in digital strategy development is substantial, the understanding of systematic framework and methodology is insufficient. This course aims to cultivate digital strategic planning competency and simultaneously teach writing research papers through the latest papers and framework analysis on digital strategic planning such as new business creation, startup methodology, artificial intelligence, and blockchain.

Fri, Sat (4 days)

24h

Digital economics

Students will learn the structure and mechanism of the digital economy, which is newly formed by digital technologies such as artificial intelligence, blockchain, and smart mobility.

Lee, Jae Ho

Fri, Sat (4 days)

24h

Digital finance mechanism

Students will understand the principles and structures of digital financial mechanisms through the combination of technology and finance.

Lee, Byung Uk

Professor

Fri, Sat (4 days)

24h

Machine learning based business decision making

Students will learn how to do machine learning based data mining for business decision making even though they have no dev background. In addition they will experience several deep learning algorithms that will strengthen their business competency.

Fri, Sat (4 days)

24h

National decision making mechanism

In this course, students will understand the legislative and executive systems and learn the decision-making mechanisms at the national level.

Woo, Jae Joon

Head of VC/PE EMBA Program

Fri, Sat (4 days)

24h

S1952

Private blockchain

The private blockchain technology for enterprise environments is widely being developed around Hyperledger. This course teaches the concept of Byzantine Fault Tolerance (BFT) and explains various algorithms that implement BFT tolerance. Through this, students will cultivate problem-defining ability and design ability to apply private blockchain to business environment.

Lee, Byung Uk

Professor

Fri, Sat (4 days)

24h

Strategy and practice of case study paper writing

This course explores qualitative research methodology and case-based thesis writing mechanism.

Kim, Bo Young

Professor

Fri, Sat (4 days)

24h

Theory and practice of statistics

Students will practice key theories and analysis cases of statistics through Jamovi.

Park, Cheong Yeul

Chair of Doctorate Program

Fri, Sat (4 days)

24h

Understanding quantum computer mechanisms

Students will understand mechanisms of quantum computer and study the principles and prospects of quantum computers that threaten cryptographic algorithms.

Chu, Jeong Ho

Sat, Sun (4 days)

15 hrs

S1997

AI and Management Mathematics

Understand the core of management mathematics to understand the algorithm of weights adjustment and reversals, the core structure of deep learning.

Shin, Ho Sang

Dean of Academics Affairs

Sat, Sun (4 days)

15 hrs

S1994

AI and Management Philosophy

Sat, Sun (3 days)

30 hrs

S1987

AI and Management Science

Understand the structure of statistics, data mining, machine learning, and deep learning, and learn how to apply it as a management science problem solving technique.

Sat, Sun (3 days)

15 hrs

S1992

Data analysis and Problem solving in Management

Learn the types and patterns of management problem resolution based on data analysis.

Sat, Sun (3 days)

30 hrs

S1989

Data mining and Management Science (R Practice)

Briefly introduce data mining and data analysis techniques and practice how to analyze them with R.

Yun, Seok Yong

Adjunct Professor

Sat, Sun (3 days)

30 hrs

S1990

Deep Learning and Management Science (Keras Pratice)

Using artificial intelligence and deep learning, we learn how to analyze and solve management problems and practice them through Keras.

Kim, Tae Young

Professor

Sat, Sun (5 days)

30 hrs

Doctoral Seminar for Thesis Research (BSL) II

Doctoral seminars are designed to help students develop their research methodologies while clarifying their research projects specifically for their applied BSL thesis research projects targeting business transformation. They will introduce research themes and new approaches and methods for research design and data analysis in applied settings. Students will exchange information and experiences around the process of writing a doctoral thesis, and will be expected to prepare presentations outlining their applied DBA thesis research proposals and plans; highlighting their goals, process, challenges, questions and ideas. Classes will be student-centered with active discussions among students about their research projects.

Sat, Sun (3 days)

15 hrs

S1991

Econometrics

Learn the structure of statistics to solve economic problems through quantitative analysis.

Sun (5 days)

15 hrs

S1957

Group Seminar & Colloquium (2) Corporate Finance Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Corporate Finance).

Sun (5 days)

15 hrs

S1958

Group Seminar & Colloquium (3) Business Analytics Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Business Analytics).

Sun (5 days)

15 hrs

S1959

Group Seminar & Colloquium (4) Digital China Research Seminar (AI/Digital Focused)

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Digital China)/

Baik, Kwon Ho

Adjunct Professor

Sun (5 days)

15 hrs

S1960

Group Seminar & Colloquium (5) Planning, Execution and Evaluation Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Management Planning Execution Management).

Choi, Yong Joo

Vice-president of Operations

Sun (5 days)

15 hrs

S1986

Group Seminar & Colloquium (6) Global SCM and AI Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Global SCM & AI).

Kim, Tae Hyun

Professor

Sun (5 days)

15 hrs

S1498

Group Seminar & Colloquium : Art and AI Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Art).

Kim, Bo Young

Professor

Sat, Sun (4 days)

15 hrs

S1993

Management Strategy and AI Research Seminar

Extending the intuitive approach of traditional management strategies to the inductive approach caused by AI. In this subject, we learn the framework of transformation and grafting due to AI and the flow of management strategies in the East and the West.

Moon, Hwy Chang

President

Sat, Sun (4 days)

15 hrs

S1996

Psychology and AI Research Seminar

To learn the research flow and development process of psychology and to understand the connection between cognitive psychology and artificial intelligence

Park, Cheong Yeul

Chair of Doctorate Program

Sat, Sun (3 days)

15 hrs

S0821

Research Methodology for Thesis II

To understand social science and to practice the composition of research models, analyze empirical research results and interpret the results through various research cases

Cho, Dong Sung

Emeritus Professor of Seoul National University

Sat, Sun (4 days)

15 hrs

S1554

Research Seminar on Creativity

View what new concepts and approaches are being studied in each major field of business administration, and discuss creative enterprises and creative management in academic and practical ways.

Cho, Dong Sung

Emeritus Professor of Seoul National University

Sat, Sun (4 days)

15 hrs

S1670

Research Seminar on Hubris

To learn the concept of hubris of managers and examine the importance and entrepreneurship of managers' humility

Shin, Je Goo

Adjunct Professor

Sat, Sun (4 days)

15 hrs

S1995

Seminar on Big Data Analytics and Data Mining for Managers

This course is a gentle, practical introduction to big data for non-technical students with no programming or statistics knowledge required. The course will overview big data technologies, data processing, and datamining tasks (classification, regression, and clustering). It focuses on the general real-world applied use of big data methods for business decision support, including segmentation and prediction, churn prediction, recommender systems, targeted marketing, sentiment analysis and operational analytics, and data science for social good. It only lightly touches on the technical statistics and programming skills needed to develop these applications, but students will get hands-on experience with Microsoft’s Power BI and IBM’s SPSS Modeler applications. Students should be comfortable with quickly learning and using new analytical software.

Sat, Sun (4 days)

15 hrs

S1877

Seminar on Qualitative Studies(AI part updated)

To provide practical help in writing a thesis by learning various techniques and characteristics of qualitative research methods among social science methodologies and practicing them directly through tasks.

Ko, Young-Hee

Professor

Sat, Sun (3 days)

30 hrs

S1988

Statistics and Management Science (Jamovi Practice)

Study statistical methodologies for design and analysis of research models and practice with Jamovi.

Seol, Hyun Soo

Adjunct Professor

TBA

15 hrs

S1343

Thesis Credit

In consultation with their advisors, the student will design and conduct research to complete the aims identified in his/her approved research proposal after passing the qualification exam and obtaining ethics committee approval.

Sat, Sun (4 days)

15 hrs

S1997

AI and Management Mathematics

Understand the core of management mathematics to understand the algorithm of weights adjustment and reversals, the core structure of deep learning.

Shin, Ho Sang

Dean of Academics Affairs

Sat, Sun (4 days)

15 hrs

S1994

AI and Management Philosophy

Sat, Sun (3 days)

30 hrs

S1987

AI and Management Science

Understand the structure of statistics, data mining, machine learning, and deep learning, and learn how to apply it as a management science problem solving technique.

Sat, Sun (3 days)

15 hrs

S1992

Data analysis and Problem solving in Management

Learn the types and patterns of management problem resolution based on data analysis.

Sat, Sun (3 days)

30 hrs

S1989

Data mining and Management Science (R Practice)

Briefly introduce data mining and data analysis techniques and practice how to analyze them with R.

Yun, Seok Yong

Adjunct Professor

Sat, Sun (3 days)

30 hrs

S1990

Deep Learning and Management Science (Keras Pratice)

Using artificial intelligence and deep learning, we learn how to analyze and solve management problems and practice them through Keras.

Kim, Tae Young

Professor

Sat, Sun (3 days)

15 hrs

S1991

Econometrics

Learn the structure of statistics to solve economic problems through quantitative analysis.

Sun (5 days)

15 hrs

S1957

Group Seminar & Colloquium (2) Corporate Finance Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Corporate Finance).

Sun (5 days)

15 hrs

S1958

Group Seminar & Colloquium (3) Business Analytics Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Business Analytics).

Sun (5 days)

15 hrs

S1959

Group Seminar & Colloquium (4) Digital China Research Seminar (AI/Digital Focused)

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Digital China)/

Baik, Kwon Ho

Adjunct Professor

Sun (5 days)

15 hrs

S1960

Group Seminar & Colloquium (5) Planning, Execution and Evaluation Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Management Planning Execution Management).

Choi, Yong Joo

Vice-president of Operations

Sun (5 days)

15 hrs

S1986

Group Seminar & Colloquium (6) Global SCM and AI Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Global SCM & AI).

Kim, Tae Hyun

Professor

Sun (5 days)

15 hrs

S1498

Group Seminar & Colloquium : Art and AI Research Seminar

Seminar class to introduce recent research trends and major theories in each major major and detailed area of business administration. (Details: Art).

Kim, Bo Young

Professor

Sat, Sun (4 days)

15 hrs

S1993

Management Strategy and AI Research Seminar

Moon, Hwy Chang

President

Sat, Sun (4 days)

15 hrs

S1996

Psychology and AI Research Seminar

To learn the research flow and development process of psychology and to understand the connection between cognitive psychology and artificial intelligence

Park, Cheong Yeul

Chair of Doctorate Program

Sat, Sun (3 days)

15 hrs

S0821

Research Methodology for Thesis II

To understand social science and to practice the composition of research models, analyze empirical research results and interpret the results through various research cases

Cho, Dong Sung

Emeritus Professor of Seoul National University

Sat, Sun (4 days)

15 hrs

S1554

Research Seminar on Creativity

View what new concepts and approaches are being studied in each major field of business administration, and discuss creative enterprises and creative management in academic and practical ways.

Cho, Dong Sung

Emeritus Professor of Seoul National University

Sat, Sun (4 days)

15 hrs

S1670

Research Seminar on Hubris

To learn the concept of hubris of managers and examine the importance and entrepreneurship of managers' humility

Shin, Je Goo

Adjunct Professor

Sat, Sun (4 days)

15 hrs

S1995

Seminar on Big Data Analytics and Data Mining for Managers

Sat, Sun (4 days)

15 hrs

S1877

Seminar on Qualitative Studies(AI part updated)

Ko, Young-Hee

Professor

Sat, Sun (3 days)

30 hrs

S1988

Statistics and Management Science (Jamovi Practice)

Study statistical methodologies for design and analysis of research models and practice with Jamovi.

Seol, Hyun Soo

Adjunct Professor

TBA

15 hrs

Courses

S1997

AI and Management Mathematics

S1994

AI and Management Philosophy

S1987

AI and Management Science

AI and system dynamics

S1954

Advanced system dynamics and model design

S1951

Analysis and practice of blockchain data

Behavioral Economics for Managers

S1817

Big Data Methodologies & Techniques

Blockchain and Digital Currency

Blockchain and the Digital Economy

Behavioral Economics for Managers

Blockchain and Digital Currency

Capstone Module

Corporate Finance

Design Management

International Business

Management Accounting and Control

Management Communication

Personal and Organizational Leadership

Quant Investing

Statistics & Decision Models

Strategic Human Resource Management

Strategic International HRM

System Dynamics

S1897

Business Project B

S0041

Human Resources Management for High Technology

S0003

Leadership, Team Effectiveness and Communication

S0008

Managerial Accounting for High Technology Organizations

S1371

Negotiation Strategy

S0039

Operations Management for Technology Organizations

S0005

Organizational Behavior

S0045

Role of Technology Standards

S0060

Technology Management and Strategy

S1558

Technology and Entrepreneurship: Technological Innovations

S1817

Big Data Methodologies & Techniques

S0093

Business Project and Thesis Writing

S1819

Data-Driven Decision Making and Strategies

S1835

Digital Marketing

S1888

IP Strategy for Big Data Business

S1913

IT Basics

S1640

Introduction to Statistics

S1981

Management Science Techniques and Big Data Research Methodology

S1641

Multivariate Statistics

S1687

Python I

S1714

Python II

S1898

Python III

S1815

R I

S1816

R II

S1642