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Issue No. 05 - Sept.-Oct. (2015 vol. 35)
ISSN: 0272-1716
pp: 101-c3
Ines Janusch , TU Wien
ABSTRACT
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.
INDEX TERMS
Computer science education, Image color analysis, Pattern recognition, Digital images, Media, Large-scale systems
CITATION

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.
doi:10.1109/MCG.2015.107
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