## 基本素養 Basic Literacy

Ethic & Social Responsibility
Undergraduate students should demonstrate ethical awareness in learning and in social networking

Global Awareness
Undergraduate students should possess a global perspective and an awareness of the effects of globalization

## 核心能力 Competence

Oral Communication/ Speaking
Undergraduate students should be able to communicate effectively in speaking.

Written Communication/Writing
Undergraduate students should be able to communicate effectively in writing.

Creativity and Innovation
Undergraduate students should be able to solve strategic problems with creative and innovative approaches

Problem Solving
Undergraduate students should be able to solve strategic problems with creative and innovative approaches

Analytical & Computational Skills
Undergraduate students should be able to solve strategic problems with creative and innovative approaches

Values, Skills & Professionalism
Undergraduate students should acquire the skills and values required of a true professional

Technical Skills
Undergraduate students should acquire the skills and values required of a true professional

Management Skills
Undergraduate students should acquire the skills and values required of a true professional

## 課程概述 Course Description

The purpose of this course is to teach students software package R and SPSS, so that they will be able to implement the statistical methods learned from the course of Statistics in the two software packages. Graphing is a basic and important tool in data analysis, the skill of statistical drawing and the interpretation of graphs will be emphasized in this course. The topics will include descriptive statistics, confidence intervals, hypothesis testing, contingency tables and chi-square test, correlation analysis and regression analysis.

## 課程學習目標 Course Objectives

• Mastery in statistical software package and statistical drawing.
• Use statistical package R and SPSS (or SAS) to aid in statistical analysis.
• Use the above packages for data management, analysis, and producing graphs.
• Help students to improve in programming skill.
• ## 課程進度 Progress Description

進度說明 Progress Description
1Introduction to SPSS (Statistical Package for the Social Sciences)
2Introduction to SPSS (Statistical Package for the Social Sciences)
3Introduction to Minitab
4Introduction to Minitab
5Introduction to SAS (Statistical Analysis System)
6Introduction to SAS (Statistical Analysis System)
7Introduction to SAS (Statistical Analysis System)
8Introduction to SAS programmer Certification
9Midterm
10Introduction to Git and Github
11Writing reproducible reports in R with markdown
12Introduction to statistical graphics using R
13Introduction to statistical graphics using R
14Introduction to data visualization with R shiny package
15Introduction to data visualization with R shiny package
16Introduction to matplotlib package in Python
17Introduction to matplotlib package in Python
18Group Report
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

## 有關課程其他調查 Other Surveys of Courses

1.本課程是否規劃業界教師參與教學或演講? 否
Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No
3.本課程是否可歸認為學術倫理課程? 否
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
4.本課程是否屬進入社區實踐課程? 否
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No