|
Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Visión por Computador |
 Subjects |
| Fundamentals of Image Processing and Analysis |
| Assessment |
|
|
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Fundamentals of Image Processing and Analysis | Code | 614535001 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
|
||||||||||||||
| Methodologies | Competencies | Description | Qualification |
| Research (Research project) | A1 A3 B7 B9 B10 B12 C1 | Two assignments that consist of the development of image processing and computer vision applications. It will be assessed the suitability of the proposed solutions and the quality of the obtained results. | 60 |
| Objective test | A1 A3 B10 | Written test with theoretical questions and practical problems to be solved. | 40 |
| Laboratory practice | A1 A3 B10 | Practical exercises about the topics learned in the lectures. It will be assessed the suitability of the proposed solutions and the quality of the obtained results. | 0 |
| Assessment comments | |||
|
The objective test is 40% of the final grade. However, students can achieve this percentage of the final grade with the laboratory exercises during the year. This way, if the laboratory exercises are presented, the exam is optional. If a student presents the laboratory exercises and attends the objective test, the grade obtained in the objective test will prevail over the grade achieved in the laboratory exercises. |
|||
|
