## 基本素養 Basic Literacy

Practical Application
to ensure that the students develop a capability of processing, analyzing and conveying accounting information

to encourage and help the students to develop social awareness and ethics in the accounting profession

Humanities and Rule of Law
to help the students develop Humanities and understand the rule of Law

Creative Learning
Developing and using the novel, original or inventive learning methods

Global Awareness
to turn the students into accounting professionals with an international vision

International Exposure
to encourage student to participate in international student-exchange programs.

## 核心能力 Competence

Professional Knowledge
to educate the students to possess professional knowledge and attitude in both accounting-related theories and practices

to help the students cultivate a capability of effectively communicating and cooperating with peers

Development and Innovation ability
to help the students to be able to tackle accounting and finance challenges in an innovative manner

Ability to solve problems innovatively
to train the students to grow ability to identify, analyze and solve accounting and finance problems in an innovative manner

Critical Thinking
to train the students to be accounting professionals who are able to think critically

## 課程學習目標 Course Objectives

• Students know the basic ideas of regression analysis.
• Students know how to formulate the operational models.
• students have the ability to sovle the empirical problems.
• ## 課程進度 Progress Description

進度說明 Progress Description
1Introduction (Ch.1)
2Introduction (Ch.1)
3Statistical background (Appendixes A, B, C, and D)
4Statistical background (Appendixes A, B, C, and D)
5Simple Regression Model (Ch.2, 3, 4)
6Simple Regression Model (Ch.2, 3, 4)
7Multiple Regression Model-with heteroskedasticity, autocorrelations in errors (Ch.5,6)
8Multiple Regression Model-with heteroskedasticity, autocorrelations in errors (Ch.5,6)
9Miterm exam
10Using indicator (dummy) variables (Ch.7)
11Heteroskedasticity (Ch.8)
12Random regressors and moment-based estimation (Ch.10)
13Simultaneous equations models (Ch.11)
14Qualitative and limited dependent variable models (Ch.16)
15Panel data models (Ch.15)
16Project presentations and written report due
17Project presentations and written report due
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.

## 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