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Green Image
Issue No. 05 - Sept.-Oct. (2015 vol. 35)
ISSN: 0272-1716
pp: 101-c3
Ines Janusch , TU Wien
In undergraduate practical courses, it is common to work with groups of 100 or more students. These large-scale courses bring their own challenges. For example, course problems are too small and lack "the big picture"; grading becomes burdensome and repetitive for the teaching staff; and it is difficult to detect cheating. Based on their experience with a traditional large-scale practical course in image processing, the authors developed a novel course approach to teaching "Introduction to Digital Image Processing" (or EDBV, from the German course title Einführung in die Digitale Bild-Verarbeitung) for all undergraduate students of media informatics and visual computing and medical informatics at the TU Wien.
Computer science education, Image color analysis, Pattern recognition, Digital images, Media, Large-scale systems

N. M. Artner, I. Janusch and W. G. Kropatsch, "Evaluating and Grading Students in Large-Scale Image Processing Courses," in IEEE Computer Graphics and Applications, vol. 35, no. 5, pp. 101-c3, 2015.
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