CENG574 STATISTICAL DATA ANALYSIS
Course Code: | 5710574 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 8.0 |
Department: | Computer Engineering |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Prof.Dr. MEHMET VOLKAN ATALAY |
Offered Semester: | Fall or Spring Semesters. |
Course Objectives
The objective of this course is to introduce the concepts and techniques of clustering and multivariate and exploratory data analysis. This course also offers an opportunity to perform data analysis by using data visualization, projection, and embedding. In addition,
Course Content
Multivariate statistical analysis with applications especially in the field of Computer Engineering. Review of introductory concepts in statistics. Hypothesis testing. Regression analysis. Discriminant analysis. Principal component analysis. Factor analysis. Applications with the use of existing computer packages.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
- perform data analysis by using data visualization, data projection and clustering
- apply these techniques in a specific field, such as bioinformatics