## 基本素養 Basic Literacy

Ethical Reasoning
Graduate students should be able to identify ethical dilemmas and to determine necessary courses of action

Global Vision
Graduate students should possess a global statistical perspective and an awareness of the global business

## 核心能力 Competence

Speaking
Graduate students should be able to appreciate statistical research and to present research findings/ results effectively in speaking

Writing
Graduate students should be able to appreciate statistical research and to present research findings/ results effectively in writing

Interdiscip. Competence/ Prob. Solving
Graduate students should be able to integrate different functional areas in solving statistical problems

Critical Thinking/ Innovation
Graduate students should be able to analyze data effectively and to recommend effective statistical methods

Graduate students should be able to demonstrate leadership skills of a data analysis manager

Teamwork
Graduate students should be able to coordinate actions and solve problems jointly with other members of a professional team

## 課程概述 Course Description

Introduce the theory of generalized linear models, and its applications to real data.

## 課程學習目標 Course Objectives

• become familiar with theories and applications of the GLMs
• master the foundations of GLMs and its extended models
• Apply and explain the GLMs concepts in real-world
• Establish the connection between GLMs and related subjects
• Distinguish different type of data outcome variables in GLMs
• Extend the GLMs concepts in large sample
• ## 課程進度 Progress Description

進度說明 Progress Description
1General Aspects on Linear Models
2General Aspects on Linear Models
3General Aspects on Linear Models
4Introduction to Generalized Linear Models
5Introduction to Generalized Linear Models
6Regression Models for Binary Data
7Regression Models for Binary Data
8Midterm Make up
9Midterm
10Regression Models for Count Data
11Regression Models for Count Data
12Models Checkings
13Models Checkings
14Linear Mixed Models and Generalized Linear Mixed Models
15Linear Mixed Models and Generalized Linear Mixed Models
16Generalized Estimating Equations
17Generalized Estimating Equations
18Final Exam
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.

## 課程是否與永續發展目標相關調查 Survey of the conntent relevant to SDGs

本課程與SDGs相關項目如下：
This course is relevant to these items of SDGs as following:
• 教育品質 (Quality Education)

## 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