NCKU Curriculum Map
1. 2.
3.
INTRODUCTION TO R

Nowadays, in the era of big data, data analysis has also becoming an important application for the development of all walks of life. Facing this trend, understanding and then using related software have become the first choice. According to the survey of the well-known website KDnuggets, R software has been the most popular programming language in "Data Analysis / Data Science" for two consecutive years in 2015 and 2016, indicating the importance of its future development. This course uses the integrated development environment RStudio to lower the learning threshold of R and help students understand the free and powerful R language easily.

Course Goal
B. Acquire interdisciplinary knowledge
D. Become active and engaged citizens
E. Contribute to the welfare of humankind
Course Principle Literacy and Competence
[Principle Literacy]
  • Civic literacy
  • Global Vision
  • [Competence]
  • To cross disciplinary boundaries
  • To adapt to social change
  • To practice
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0109/1 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0108/1 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0108/2 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0107/1 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0107/2 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0106/1 A92L600 [GE2325]INTRODUCTION TO R 2.0 N
    0106/2 A92L600 [GE2325]INTRODUCTION TO R 2.0 N