Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  İST418  STATISTICS WITH R PROGRAMMING LANGUAGE  Elective  4  8  5 

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 
1  The ability of using R programming languages  2  To be able to generate random numbers  3  The ability of performing the applications of various probability distributions.  4  Drawing graphics with R.  5  To be able to make statistical hypothesis testing with R  6  To be able to make regression analysis with R  7  T be able to make time series analysis with R 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 

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 

1  Introduction to R programming language  Computer application   2  Data structures in R and data entry  Computer application   3  Various mathematical and statistical operations using vectors, matrices and data frames  Computer application   4  Graphs in R  Computer application   5  Random number generations from various probability distributions  Computer application   6  Solutions of various probability problems in R  Computer application   7  Contingency tables  Computer application   8  Midterm exam    9  Hypothesis testing with one sample  Computer application   10  Hypothesis testing with two samples  Computer application   11  One way analysis of variance  Computer application   12  Two way analysis of variance  Computer application   13  Linear regression analysis  Computer application   14  Time series analysis  Computer application   15  Time series analysis  Computer application   16  Final exam   

Recommended or Required Reading 
1. İstatistikte R ile programlama, 2014, Necmi Gürsakal, Dora Yayıncılık
2. A Tiny Handbook of R, Mike Allerhand, 2011, SpringerVerlag. 
Planned Learning Activities and Teaching Methods 

Assessment Methods and Criteria  
Midterm Examination  1  100  SUM  100  
Final Sınavı  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction  Turkish  Work Placement(s)  

Workload Calculation 