CMPE481
Data Analysis and Visualization
The information on this page is under construction.
Course Information
| Faculty | Faculty of Engineering |
| Course Code | CMPE481 |
| Course Title | Data Analysis and Visualization |
| Language of Instruction | English |
| Course Semester | Fall |
| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
| Course Credits | 3 |
| ECTS | 6 |
| Grading Mode | Letter Grade |
| Prerequisites | None |
| Corequisites | None |
Catalog Description
This course provides fundamental concepts about data analysis and data visualization. Topics include data pre-processing & preparation, clustering, classification, regression, performance evaluation, feature selection, feature importance analysis, feature extraction, and dimensionality reduction methods. Visualization concepts focus on high-dimensional data visualization techniques.
Course Learning Outcomes
1- Apply clustering methods to analyze data 2- Design regression or classification systems to solve real-life problems 3- Evaluate the performance of estimation models 4- Visualize complex datasets to gain insights
Current Instructor
Berk Gökberk
Assistant Professor
