Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Computer Vision II
   Assessment
Methodologies Competencies Description Qualification
Laboratory practice A25 B1 B3 B7 C3 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. 40
Research (Research project) A25 A26 B5 B7 C3 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
Mixed objective/subjective test A24 A27 B1 B7 Written test with theoretical questions and practical problems to be solved. 0
 
Assessment comments
The laboratory practice during the year is 40% of the final grade. However, students can achieve this percentage of the final grade with mixed test. This way, if the laboratory exercises are submitted, the exam is optional. 

If a student submits the laboratory practice and takes the mixed test, the mark obtained in the mixed test will prevail over the mark got in the laboratory practice. 

If the student does not deliver any of the assignments or takes the exam, he/she will be considered as "absent". 

In the second chance: 

  • In case of an "absent" student in the first chance, the assessment will comprise the research projects (up to 60%) and the mixed text (up to 40%). 
  • If the student has summited the laboratory practice and/or any research project but he/she has not passed the subject, the first chance marks in both parts will be kept. To pass the subject, the student should submit the non-delivered/failed research projects and/or take the mixed test. 
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