title: Evaluating and Grading Students in Large-Scale Image Processing Courses.
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.
authors.forename: Nicole M
authors.initials: NM
authors.lastname: Artner
authors.forename: Ines
authors.initials: I
authors.lastname: Janusch
authors.forename: Walter G
authors.initials: WG
authors.lastname: Kropatsch
mesh_terms: D003194:Computer-Assisted Instruction / Q000379:methods*; D003479:Curriculum; D003952:Diagnostic Imaging; D004517:Education, Professional / Q000379:methods*; D004521:Educational Measurement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted; D011871:Radiology / Q000193:education*; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface