Applied Information Area
The objective of business mathematics is to introduce or review some basic mathematical concepts and methods for students in business, which includes topics such as functions and graphs, matrix algebra, probability and statistics, and differentiation.
The main object is to encourage students to find various styles such as information gathering, data analysis to make more effective decisions on management through gaming simulation.
Introductory Data Analysis Invitation to Quantitative Analysis
This lecture provides the basic topics regarding to the quantitative methods, which include probability, probability distributions and descriptive statistics, sampling and estimation, hypothesis testing and so on.
Data Analysis 1: Introduction to Data Analysis
Basic statistical principle and methods are learned through the experiences to analyze a financial data by R.
Data Analysis 2: Principle of Quantitative Research
Statistical surveys and analyses will be essential tools for clarifying the voices of customers and how to attain customer's satisfaction. The course is designed to understand key concepts to design surveys for reasonable decisions thorugh a project on a virtual market research.
Data Analysis 3: Data Mining
The course is designed to enhance understanding of key techniques of Data Mining which are applied into the various fields like marketing researches, medical information analysis and so on. Another aim is to acquaint students with basic mathematical descriptions in order to read more professional articles by themselves.
Operations Management 1: Operations Management
This course covers some fundamental topics on operations management, such as concepts, principles and their applications in business. The five instructors introduce operation management from specific aspects based on their specialty.
Operations Management 2: Decision Analysis
In this course, we will learn some fundamental concepts of decision making for business. The course provides students with practical techniques to help structure decision problems and analyze them quantitatively. These techniques will help you think clearly about decision makers, objectives, alternatives, and enable you to integrate judgments with other information in a logical and defensible manner.
Operations Management 3: Risk Analysis
Risk analysis course provides an accessible treatment of the procedures and techniques involved in constructing risk assessment and management processes and models. It shows clearly how to identify risk scenarios and quantify risk in conjunction with real-world decision making problems, including a host of institutional, organizational, political, and cultural considerations.
Operations Mamangement 4: Project Management
In order to accomplish a project successfully, it is important to carry out systematized management processes, such as visualizing a concept, planning, executing tasks, and monitoring and control. This course provides the fundamental knowledge of the project management.
Operations Management 6: Systems Design Theory
Understanding behaviors of social systems is one of key factors for success in business or life. The concepts of the UML modeling, Systems Dynamics and Multi-Agent Simulation help our understandings. In this class, we will learn these topics.
Data analytic skills have never been more important in the global
business environment, and they provide a key to career development.
Discover the importance of quantitative skills, how they can help you if
you have them, or hurt you if you don't have them. Learn how to extract
information from data, and make it work for you, increasing the
effectiveness of business decisions.
This course demonstrates user-friendly statistical software packages, and
presents case studies from around the world to show how quantitative
skills have improved management decision making.
PPDAC based Research Design
PPDAC is a framework for scientific inquiry. You don't need to be a
scientist when you are in front of a problem to solve. But it is important
for you to be scientific to reach at objective as well as persuasive
conclusions. This course is intended to help students on implementing
their research processes with their own interests. This course also covers
QC seven tools as ways of statistical analysis of an introductory level,
and new QC seven tools as ways of technical communication and