Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST418STATISTICS WITH R PROGRAMMING LANGUAGEElective485
Level of Course Unit
First Cycle
Objectives of the Course
To analyze and interpret statistical problems using R programming language.
Name of Lecturer(s)
Öğr. Grv. Dr. Aslı KILIÇ
Learning Outcomes
1The ability of using R programming languages
2To be able to generate random numbers
3The ability of performing the applications of various probability distributions.
4Drawing graphics with R.
5To be able to make statistical hypothesis testing with R
6To be able to make regression analysis with R
7T be able to make time series analysis with R
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Recommended Optional Programme Components
Course Contents
This lecture aims to teach R programming language and computer aided solutions of the problems related to statistics and probability theory using R programming language.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to R programming language Computer application
2Data structures in R and data entryComputer application
3Various mathematical and statistical operations using vectors, matrices and data framesComputer application
4Graphs in R Computer application
5Random number generations from various probability distributionsComputer application
6Solutions of various probability problems in R Computer application
7Contingency tablesComputer application
8Midterm exam
9Hypothesis testing with one sampleComputer application
10Hypothesis testing with two samplesComputer application
11One way analysis of varianceComputer application
12Two way analysis of varianceComputer application
13Linear regression analysisComputer application
14Time series analysisComputer application
15Time series analysis Computer application
16Final exam
Recommended or Required Reading
1. İstatistikte R ile programlama, 2014, Necmi Gürsakal, Dora Yayıncılık 2. A Tiny Handbook of R, Mike Allerhand, 2011, Springer-Verlag.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14456
Practice14114
Tutorial14228
Self Study14114
Individual Study for Mid term Examination7214
Individual Study for Final Examination7214
TOTAL WORKLOAD (hours)144
Contribution of Learning Outcomes to Programme Outcomes
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LO1  5           55    5   
LO2    44         5    5   
LO3    55         5    5   
LO4    555        5    5   
LO5    555        5    5   
LO6    555        5    5   
LO7    555        5    5   
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr