Content, progress and pedagogy of the module

The objective of this course module is to provide students with core competencies within the field of computer vision and hereby enabling them to design and implement software systems for automatic or semi-automatic analysis of an image or sequence of images

Learning objectives

Knowledge

• Must have knowledge about the terminology within computer vision
• Must be able to understand how a particular computer vision system e.g. the Semester project of the student, relates to similar systems and, if relevant, to the surrounding society
• Must have knowledge about organization of a scientific publication and scientific communication process

Skills

• Must be able to analyze a problem and (if possible) suggest a solution that uses relevant theories and methods from computer vision
• Must be able to analyze a system that is based on computer vision and identify relevant constraints and assessment criteria.
• Must be able to synthesize, i.e., design and implement, a system (or parts hereof) using relevant theories and methods (if possible) from computer vision
• Must be able to evaluate a computer vision system (or parts hereof) with respect to the afore mentioned assessment criteria

Competences

• Formulate and explain scientific hypotheses and results achieved through scientific work
• Work according to a scientific method and present results in the form of a scientific article and at a seminar/scientific conference
• Read and understand selected scientific literature and next apply the theories, methods, and/or tools in order to solve a selected problem , as well as judge and prioritize the validity of various of scientific information

Type of instruction

As described in §17

Exam

Exams