CMPE481
CMPE481
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 | 10 |
| Grading Mode | Letter Grade |
| Prerequisites | None |
| Corequisites | None |
Catalog Description
This course provides fundamental concepts about data analysis and data visualization. Topics include data preprocessing & 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.
After successful completion of this course, students will be able to:
- Design regression or classification systems to solve real-life problems
- Evaluate the performance of estimation models
- Visualize complex datasets to gain insights
