Teaching GuideTerm
Faculty of Computer Science
Guía Provisional
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Máster Universitario en Visión por Computador
 Subjects
  Biomedical Image Analysis
   Assessment
Methodologies Competencies / Results Description Qualification
Laboratory practice A5 A8 B3 B10 Development practices of applied cases 50
Supervised projects A5 A8 B3 B10 Practical projects related to the subject 30
Guest lecture / keynote speech A1 A2 A7 B1 B7 B11 C3 Demonstration of application of knowledge taught in class 20
 
Assessment comments

For the second part, specifically: Practical projects related to the subject (mandatory presence >75% of classes).

All components may be subjected to oral exam / discussion (e.g. Top 5% grade decision).

For the second part: Minimal grade is 7/20 (35%) per component. All components together must grade 9,5/20 (47,5%) for pass.

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