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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
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  6. R Programming
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SAY529 - R Programming II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. FİKRET ER
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Operations Research
Recommended Resources Solution of optimization problems with R, R programming
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Download R and Rstudio
Week - 2 Help Pages and R concepts
Week - 3 R Basics; Variables, Vectors, Vector operations, Math operations,
Week - 4 Data structures in R; Arrays and Matrices, Lists
Week - 5 Data structures in R; Arrays and Matrices, Lists, examples
Week - 6 Working With Data in R, Reading CSV and Excel Files, Reading text files
Week - 7 Application to read data file
Week - 8 Functions in R
Week - 9 Conditions and Loops; İf and İf-else, loops,
Week - 10 Applications conditions and loops
Week - 11 R package install and quick list of useful R packages.
Week - 12 Solution of optimization problems with R
Week - 13 Solution of optimization problems with R
Week - 14 Solution of optimization problems with R

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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