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
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.
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.
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
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.
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.
Learn the structure of statistics to solve economic problems through quantitative analysis.
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).
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).
Kim, Hyun Jung
Associate Research Professor
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
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
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).
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
Director Industry-Academic Cooperation
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
Research Seminar on Hubris
To learn the concept of hubris of managers and examine the importance and entrepreneurship of managers' humility
Shin, Je Goo
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.
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.
Dean of Student Affairs
Statistics and Management Science (Jamovi Practice)
Study statistical methodologies for design and analysis of research models and practice with Jamovi.
Seol, Hyun Soo
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.