Teaching

Theory & Practice

Selected Teaching Experience

[Artificial Intelligence Business Strategy] (English Class) <Graduate School> Management of Technology, Korea University, 2023(Fall)
[Statistical Decision Analysis and Forecasting 1] (English Class) <Graduate School> Management of Technology, Korea University, 2023(Fall)
[Business Applications of Deep Learning] <Graduate School> Management Information Systems, Business School, Dongguk University, 2023(Spring)
[Artificial Intelligence(AI)] (English Class) <Undergraduate> Management Information Systems, Business School, Dongguk University, 2023(Spring)
[Emerging Topic on Business Information Technologies] (English Class) <Graduate School> Management Information Systems, Business School, Dongguk University, 2023(Spring)
[Data Marketing] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2023(Spring)
[Edge Computing Service] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2022(Fall)
[Emerging Topic on Business Information Technologies] (English Class) <Graduate School> Management Information Systems, Business School, Dongguk University, 2022(Fall)
[Machine learning] <Employee Lecture> Samsung Finance Training Institute, 2022(Spring)
[Business Applications of Deep Learning] <Graduate School> Management Information Systems, Business School, Dongguk University, 2022(Spring)
[Artificial Intelligence(AI)] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2022(Spring)
[Fintech and Financial IT] <Graduate School> Management Information Systems, Business School, Dongguk University, 2022(Spring)
[Big Data and Artificial Intelligence(AI) Decision Making] <Advanced Analyst Program> Yonsei Sangnam Institute of Management, 2021(Fall)
[Machine learning] <Employee Lecture> Samsung Finance Training Institute, 2021(Fall)
[Business Modeling Analysis] <Graduate School> Management Engineering, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2021(Fall)
[Machine Learning and Deep Learning] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2021(Fall)
[Emerging Topic on Business Information Technologies] <Graduate School> Management Information Systems, Business School, Dongguk University, 2021(Fall)
[Edge Computing Service] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2021(Fall)
[Big Data and Execution Intelligence] <Graduate School> Management Information Systems, Business School, Dongguk University, 2021(Fall)
[Machine learning] <Employee Lecture> Samsung Finance Training Institute, 2021
[Artificial Intelligence(AI)] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2021
[Emerging Topic on Business Information Technologies] <Graduate School> Management Information Systems, Business School, Dongguk University, 2021
[Fintech and Financial IT] <Graduate School> Management Information Systems, Business School, Dongguk University, 2021
[Management Information] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2021
[Big Data and Artificial Intelligence(AI) Decision Making] <Advanced Analyst Program> Yonsei Sangnam Institute of Management, 2020
[Machine Learning and Deep Learning] <Undergraduate & Graduate School> Management Information Systems, Business School, Dongguk University, 2020
[Edge Computing Service] <Undergraduate> Management Information Systems, Business School, Dongguk University, 2020
[Data Mining] <Graduate School> Management Engineering, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2020
[Business Modeling Analysis] <Graduate School> Management Engineering, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2020
[Topics in business Analytics III] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2020
[Advanced Data Mining with Artificial Intelligence] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2020
[Data analysis using R] <Big-data Team> LG Household & Health care Ltd., 2019
[Data Mining] <Graduate School> Management Engineering, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2019
[Analytic Programming] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Text Mining] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Topics in business Analytics III] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Introduction to Business Analytics] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Data Science and Python] <Undergraduate> Data Science Convergence Major, College of Engineering, Sungkyunkwan University (SKKU), 2019
[Big Data Marketing] <Graduate School(MBA)> School of Business Big Data Management, Kyunghee University, 2018
[Big Data Visualization] <Graduate School(MBA)> School of Business Big Data Management, Kyunghee University, 2018
[Artificial Intelligence Business Strategy with Python] <Graduate School> Management Engineering, College of Business, Korea Advanced Institute of Science and Technology (KAIST), 2019
[Advanced Data Mining with Artificial Intelligence] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Big Data Analysis Methodology] <Hyundai Heavy Industries Group HLC Ⅲ Course> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2019
[Big Data Analysis using Python] <Graduate School(MBA)> School of Business Big Data Management, Kyunghee University, 2018
[Understanding and Application of Big Data and Machine Learning with Python] <Graduate School> Korea Advanced Institute of Science and Technology (KAIST), 2018
[Analytic Programming] <Graduate School> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2018
[Dynamics of IT] (English Class) <Undergraduate> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2018
[Deep Learning & Recommender system with Python] <Big-data Team> NH Nong Hyup (Korea's Top Bank), 2018
[Big Data Statistical Analysis] <Undergraduate> Dept. of Industrial & Management Engineering, Hansung University, 2017
[Advanced Data Mining (Deep Learning) with Python] <Graduate School> Dept. of Management Information, Hanyang University, 2017
[System Analysis and Design] (English Class) <Undergraduate> School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 2017
[Database and Trade Information System with SQL] <Undergraduate> Dept. of International Trade, Hansung University, 2017
[Marketing Statistical Analysis with SAS] <Undergraduate> Dept. of Industrial & Management Engineering, Hansung University, 2017
[Data Mining and Quantitative Marketing] <Marketing Team> Hyundai Card (Korea's Top Financial Corporation), 2017
[IT and Management] <Undergraduate> Dept. of Management, Hansung University, 2017
[Customer Relationship Management Strategy with Python] <Graduate School> Dept. of Industrial & Management Engineering, Hansung University, 2016
[Practice of e-Commerce (Big Data) with Python] <Undergraduate> Dept. of International Trade, Hansung University, 2016
[Data Modeling and SQL] <Undergraduate> Dept. of Big Data Management Statistics, Kookmin University, 2015
[Management Information (Database and SQL)] <Undergraduate> Dept. of Management Information, Myongji University, 2015
[Management Information System on Performing Arts] <Graduate School> Dept. of Arts Management, Korea National University of Arts, 2014
[Statistics] <Undergraduate> Dept. of Arts Management, Korea National University of Arts, 2014

Teaching Interests

I would like to lecture on theory and practice in improving database and analysis ability. Due to the emerging importance of Big Data analysis, it is crucial to be able to conduct quantitative marketing rather than existing theory-based marketing in order to build a more effective management strategy. In addition, given the various types of data that exist in the IT industry, students who are competent to data control and data analysis tactics will emerge as competitive candidates when they apply for jobs after school.

In my class, students will learn (1) how to analyze/control data, (2) how to model theory bases for hypotheses and data bases, (3) and how to execute quantitative marketing techniques. My course will include sessions on data mining, econometrics, statistics, databases, big data analysis, R, and Python programming.

At the end of semester, students will be able to conduct quantitative analysis, from basic statistical analysis to advanced modeling, and eventually develop an understanding of deep learning techniques.

Introductory MIS courses on Information Systems
R and Python programming for Data Analysis
Business Modeling Analytics
- Business intelligence & business analytics (Data Mining)
- Database management (SQL language)
Principles of Statistics
Statistical Decision Analysis and Forecasting
- Regression analysis for cross section data
- Time series analysis
Quantitative Models for Marketing Decisions
- How to design quantitative marketing strategies
- How to execute marketing techniques in practice
Econometrics of Information Systems
Big-data Analytics
Machine Learning and Deep Learning
Decision Making system(AI)
Social Network Analysis: Business Perspective