Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics (30% English)
  • Course Structure Diagram with Credits
  • Introduction to R Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title İST256 - Introduction to R Programming
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 4.5
Course Instructor(s) PROFESÖR DOKTOR BETÜL KAN KILINÇ
Mode of Delivery Face to face
Prerequisites No prerequisites.
Courses Recomended Recommended programme components are BilComputer programming ve Object-oriented programming
Required or Recommended Resources www.r-project.org, www.rladieseskisehir.org.
Recommended Reading List www.r-project.org, www.rladieseskisehir.org.
Assessment methods and criteria Mid assesments (exam or homework), final exam
Work Placement None.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Basic Data Structure
Week - 2 Data Import and Export, Saving
Week - 3 Data Inspection and Manipulation I
Week - 4 Data Inspection and Manipulation II
Week - 5 Comparisons of Observed Group Means: T-tests and analysis of variance
Week - 6 Linear Regression: Nested models; Interactions
Week - 7 Add-on Packages: How to find, install, and work; How/where to obtain
Week - 8 Basic Programming Structures: Loops, If-else statements
Week - 9 Built-in functions
Week - 10 Apply Family
Week - 11 R Graphics: Base graphic system
Week - 12 Trellis and Grid graphics
Week - 13 Normal distribution and its applications
Week - 14 Overview

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 30
Final Exam 1 50
Toplam (%) 100
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