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Faculty Members
Prof. Dr. phil. Kai-Uwe Kühnberger
Institut für Informatik
Wachsbleiche 27
49090 Osnabrück
Room:
Tel.:
Fax:
kkuehnbe@uni-osnabrueck.de
Teaching
summer term 2019
- Applied Mathematics for Cognitive Science (Lecture + Tutorial)
- Begleitseminar zum Studienprojekt: Cognitive Robotics (Part III)
- Begleitseminar zum Studienprojekt: Data Ethics - Doing Research and Developing Learning Units in an Emerging Field (Part I)
- Interdisciplinary Course: Lab Rotation (important further details can be found in the general folder)
- Models for analyzing and creating music
- Scientific programming in Python
- Study Project: Cognitive Robotics (Part III)
- Study Project: Data Ethics - Doing Research and Developing Learning Units in an Emerging Field (Part I)
winter term 2018/19
- Begleitseminar zum Studienprojekt: Cognitive Robotics (Part II)
- Cognitive human-computer interaction
- Colloquium of the Institute of Cognitive Science
- Explorations in Computational Art
- Interdisciplinary Course: Lab Rotation (important further details can be found in the general folder)
- Introductory Course in Analysis & Linear Algebra for Cognitive Science Masters Students (Weiterer Mitwirkender: Taher Habib)
- Methods of AI (Lecture + Practice)
- Methods of AI (Tutorial)
- Prospects and Risks of Artificial Intelligence
- Study Project: Cognitive Robotics (Part II)
summer term 2018
- Aspects of knowledge representation in artificial general intelligence
- Begleitseminar zum Studienprojekt: Cognitive Robotics (Part I)
- Colloquium of the Institute of Cognitive Science
- Didaktische Forschung: Empirische Ästhetik II
- Interdisciplinary Course: Lab Rotation (important further details can be found in the general folder)
- Models for analyzing and creating music
- Prospects and Risks of Artificial Intelligence
- Scientific programming in Python
- Study Project: Cognitive Robotics (Part I)
winter term 2017/18
- Cognitive human-computer interaction
- Colloquium of the Institute of Cognitive Science
- Didaktische Forschung: Empirische Ästhetik
- Interdisciplinary course: Data analytics and question answering for heterogeneous multi-modal domains Part VI
- Interdisciplinary Course: Lab Rotation (important further details can be found in the general folder)
- Interdisciplinary course: Predicting Health Risks from Big Data (Part III)
- Methods of AI (Lecture + Practice)
- Methods of AI (Tutorial)
- Predicting Health Risks from Big Data (Part III)
- Prospects and Risks of Artificial Intelligence
- Study Project: Data analytics and question answering for heterogeneous multi-modal domains Part VI
