Data Visualization and Image Processing
Course Code
FI2272
Number of Credits
2
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Basic principles of sensors and actuators | Express |
| Practical applications of sensors and actuators | Express |
| Comprehensive knowledge of sensors and actuators | Express |
| Sensor and actuator circuit | Expert |
| Implementation uses a microcontroller-based interface | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Students are able to understand and explain basic concepts, principles and techniques in data visualization and image processing of physical measurement results |
| CPMK 2 | Students are able to apply appropriate data visualization and image processing techniques to various types of data and physics contexts |
| CPMK 3 | Students are able to carry out data analysis and image processing and draw physical conclusions based on the data visualization that has been created |
| CPMK 4 | Students are able to think critically and logically in selecting and applying appropriate data visualization techniques, as well as in analyzing and interpreting data and images that have been processed |
| CPMK 5 | Students are able to present and report the results of data visualization and image processing in effective and interesting oral or written form |
| CPMK 6 |
Learning Method
- Face to face, practicum, group work, RBL
Learning Modality
- Mastery of hardware and programming
Assessment Methods
- RBL, TEST, Independent Assignment, Group Assignment, Quiz