Information Package / Course Catalogue
Data Analysis With R
Course Code: ZT420
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

Provide the student with knowledge of R-programming language, its functions and to teach R-programming by using its functions

Course Content

Installation of R-project, packages in r-project, data types, matrices and vectors, reading and writing data, writing functions, producing advanced graphics

Name of Lecturer(s)
Prof. Kadir KIZILKAYA
Learning Outcomes
1.Earning fundamental knowledge about R-programming
2.Learning about data types
3.Earning the ability of programming
4.Learning how to read, write and organize data
5.Earning the ability to create graphics
6.Earning the ability to write function for the analysis of research and observational data
7.Earning the ability to interpret the results and the ability of decision making for future based on the results
Recommended or Required Reading
1. 1. ULUSLARARASI GENOMİK VE BİYOİNFORMATİK KONFERANSI R-Kursu notları
2. The R Book Michael J. Crawley Imperial College London at Silwood Park, UK
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to R-programming
Week 2 - Theoretical
Data structures and types, numbers and vectors
Week 3 - Theoretical
Arrays and matrices
Week 4 - Theoretical
Arrays and matrices
Week 5 - Theoretical
Lists and data structures
Week 6 - Theoretical
Reading and writing data
Week 7 - Theoretical
Reading and writing data
Week 8 - Theoretical
Probability distributions
Week 9 - Theoretical
Loops and if statement
Week 10 - Theoretical
Functions
Week 11 - Theoretical
Functions
Week 12 - Theoretical
Graphics
Week 13 - Theoretical
Graphics
Week 14 - Theoretical
Ggplot
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Midterm Examination1516
Final Examination112113
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
OÇ-2
4
4
OÇ-3
4
3
4
OÇ-4
4
3
4
OÇ-5
4
4
OÇ-6
4
4
OÇ-7
3
4
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026