
| Course Code | : MME546 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
Students will understand the concepts, theory and computational algorithms needed for several real world recognition or classification from Image data, leading to automated scene understanding or summarization and decision making. Provides necessary skills for understanding of similar tasks on text, speech, video and other forms of data. Students can develop several learning tasks, in several domains ranging from medical, engineering to state of the art industrial and societal needs.
Image processing is one of the most exciting fields in machine learning. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this course, students will understand image processing and Artificial Intelligence and its various applications.