## 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

## 課程學習目標 Course Objectives

• to familiarize students with the R programming language and environment
• know and know where to look up basic R functions
• learn the principles that apply to most statistical programming languages
• solve problems substantially through computing
• ## 課程進度 Progress Description

進度說明 Progress Description
1Basic features and built-in functions of R
2Vectors, matrices, arrays and other data structures
3Programming statistical graphics
4Flow control
5Flow control
6Debugging and efficient programming
7Writing and sourcing a function
8Midterm exam
9Generation of pseudorandom numbers
10Introduction to density functions in R
11Statistical simulation
12Monte Carlo integration
13Matrix multiplication, inversion, eigenvalues and eigenvectors
14Generate a matrix with some pattern and its multiplication
15Numerical differentiation and optimization
16Maximization and other kinds of constraints
17Solving linear programming problems in R
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