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Präsentation studentischer Arbeiten

MO, 18.5., 16-18 Uhr (Ergebnisse des Bachelor-Projekts Verteiltes Problemlösen) und DO, 21.5., 9-12 Uhr (Ergebnisse Studentischer Arbeiten zum Thema Induktion von Zahlenreihen)

Kolloquium Montag, 4.5.15

Fritz Wysotzki (TU Berlin): Modelle des Assoziativen Gedächtnisses

Vortragsankündigung 28.4.15

Karriereverläufe von Informatikerinnen und Informatikern nach der Familiengründungsphase


Ute Schmid hält Einführungsvortrag in Kognitive Systeme im Rahmen der Seminarreihe der GI Regionalgruppe Würzburg

13.4.15: Ute Schmid gives Webinar Talk on Inductive Programming

for the monthly Webinar of the NSF Project ExCAPE: Expeditions in Computer Augmented Program Engineering, see:

Kolloquium Montag, 30.3.15,

Sebastian Boosz: Applying Anti-Unification Strategies to Matching and Generalization of Recursive Functions - Investigating a Second-order approach for Learning from Examples (Masterarbeit AI)

Kolloquium Dienstag, 24.3.15,

Frederic Ehmann: Künstliche Intelligenz in Computerspielen -- Lernen von Handlungsstrategien eines autonomen Agenten am Beispiel eines Jump 'n' Run Computerspiels (Masterarbeit AI)


Experimentierkasten Informatik gewinnt Preis


Alle News

Prof. Dr. Ute Schmid


Head of Cognitive Systems Group


Professur für Angewandte Informatik insb. Kognitive Systeme
Fakultät Wirtschaftsinformatik und Angewandte Informatik
Otto-Friedrich-Universität Bamberg
D-96045 Bamberg

Office: Room WE5/05.043
An der Weberei 5 (ERBA)
96047 Bamberg

Consultation Hour: by appointment

Phone: ++49-0951-863 2860

Fax: ++49-951-863 2862

E-Mail: Mail to Ute Schmid


Ute Schmid holds a diploma in psychology and a diploma in computer science, both from Technical University Berlin (TUB), Germany. She received her doctoral degree (Dr. rer.nat.) in computer science from TUB in 1994 and her habilitation in computer science in 2002. From 1994 to 2001 she was assistant professor (wissenschaftliche Assistentin) at the AI/Machine Learning group, Department of Computer Science, TUB. Afterwards she worked as lecturer (akademische Rätin) at the Department of Mathematics and Computer Science at University Osnabrück. Since 2004 she holds a professorship of Applied Computer Science/Cognitive Systems at the University of Bamberg. Her research interests are mainly in the domain of high-level learning on structural data, especially inductive programming, knowledge level learning from planning, learning structural prototypes, analogical problem solving and learning. Further research is on various applications of machine learning (e.g., classifier learning from medical data and for facial expressions) and empirical and experimental work on high-level cognitive processes and usability evaluation.



Selected Activities