
| Course Code | : EKO520 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The main objective of this course is to provide a basic understanding of data analysis concepts and to use it in applicons with the R software. The course will cover basic approaches in statistical inference as well as an introduction to basic machine learning algorithms.
The main subjects of the course are graphical and quantitative methods to describe data, using statistics models, verifying model assumptions using statistics, testing hypothesis and applying basic machine learining algorithms in engineering problems.