General Education

Classification : General Education   Class Number  :  C40.108  Credit : 3   Grade : 1

The main aim of the course is to help student understand the fundamental concepts of statistics. In this course various practical examples that show uncertainty and statistical methodology used to solve the problem are discussed.

Classification : General Education   Class Number  :  F32.101  Credit : 3   Grade : 2

This course is designed to introduce basic statistical methods. The course will provide the students with an overview of the elementary concepts,hypothesis testing, probability distribution, statistical inferences, linear and multicple regression, correlation and categorical data analysis, sampling survey and time series.

Classification : General Education   Class Number  :  F32.102   Credit : 3   Grade : 1

This course will give an introduction to basic statistical concepts. Students will practice applying statistics to other sciences such as natural sciences, social sciences and engineering, and examine computerized statistical techniques. The course provides an overview of basic probability distributions, such as binomial distribution, normal distribution and sample distributions. It will acquaint students with interval estimation and hypothesis testing which are the basic concepts of statistical inferences, and help students enhance their ability to solve actual statistical problems based on their study of regression analysis, categorical data analysis and analysis of variance.

Classification : General Education   Class Number  :  F32.102L   Credit : 3   Grade : 1

This course will help students enhance their understanding of statistical concepts and improve their ability of actual problem solving in statistics by using the statistical data analysis package. Students will practice sampling, generating random numbers and translating the central limit theorem into graphics. By doing regression analysis, categorical data analysis and analysis of variance, students will develop their problem solving skills in statistics.

Classification : General Education   Class Number  :  F32.103  Credit : 3   Grade : 1


This course will provide a fundamental background for statistical methodology. The objective of this course is for students to develop the knowledge, skills and perspectives necessary to analyze data in order to solve problems arising in biostatistics, biological science, public health and biomedical disciplines, and pharmacy. Topics including summarizing and representing data, probability, statistical inference, hypothesis testing, categorical data analysis, linear regression, logistic regression, analysis of variance, study designs, and survival analysis will be covered. Through real study examples, students can understand data structure, find appropriate statistical methods, and furthermore foster the ability to design a research plan.

Classification : General Education   Class Number  :  F32.103L  Credit : 1   Grade : 1

This course will help students enhance their understanding of statistical concepts and improve their ability of actual problem solving in statistics by using the statistical data analysis package. Students will practice sampling, generating random numbers and translating the central limit theorem into graphics. By doing regression analysis, analysis of variance, logistic regression and survival analysis, students will develop their problem solving skills through getting hands-on experience with statistical software.

Classification : General Education   Class Number  :  F32.104  Credit : 3   Grade : 1

In modern society, the ability to correctly analyze and interpret data, as well as the ability to derive meaningful information from it, has become increasingly important. In this course, students will learn how to process and analyze various types of data used in the humanities and social sciences to solve problems. The main topics include surveys, experimental research, data preprocessing and visualization, linear regression, causal effect analysis, and statistical inference. Through various examples, students will understand how statistical theories are applied in real research contexts. Additionally, the course provides an opportunity to deepen students’ understanding of ‘causality’ and ‘sampling’&-concepts that are essential for analyzing and solving social issues and understanding human behavior. The course also includes practical exercises, allowing students to analyze real research data using the R programming language.

Classification : General Education   Class Number  :  E11.121  Credit : 3   Grade : 1

The aim of this course is to equip students with fundamental data literacy skills, enabling them to make informed, data-driven decisions. Over the duration of this course, you will delve into topics such as recognizing the misapplication of statistics, deciphering data presented in various media formats, and mastering the art of articulating compelling arguments grounded in data.