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Autonomous Robotics: Action, Perception, and Cognition |
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Autonomous Robotics |
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Autonomous Robotics |
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Python-Praktikum (Informatik 1) |
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Project seminar
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Seminars
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Autonomous Robotics |
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Introduction to Python |
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Tutorial
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Seminars
Lab courses
Autonomous Robotics |
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Python-Praktikum (Informatik 1) |
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Maschinelles Lernen |
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Autonomous Robotics |
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Game Development (Lab course) |
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Introduction to Python |
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Seminars
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Project seminar
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Autonomous Robotics |
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Game Development in C# |
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Introduction to Python |
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Autonomous Robotics |
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Intensive Course C++ |
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Master Seminar: Methods of Modern Reinforcement Learning |
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Autonomous Robotics |
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Game Development in C# |
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Introduction to Python |
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Master Seminar: Methods of Modern Reinforcement Learning |
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Autonomous Robotics |
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e-learning course |
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Game Development in C# |
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Intensive Course C++ |
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Autonomous Robotics |
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Computer Vision: Deep Learning Lab Course |
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Introduction to Python |
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Artificial Neural Networks |
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Game Development in C# |
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Intensive Course C++ |
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Lab courses
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Seminars
Lab courses
Autonomous Robotics |
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Computer Vision |
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Intensive Course C++ |
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Scientific Computing with Python |
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Computational Neuroscience: Neural Dynamics |
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Artificial Neural Networks |
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Computational Neuroscience: Neural Dynamics |
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Autonomous Robotics |
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Computer Vision |
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Intensive Course C++ |
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Programming Applications in C++ |
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Selected Topics in Neurocomputing: Organic Computing |
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Autonomous Robotics |
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Computer Vision |
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Intensive Course C++ |
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Scientific Computing with Python |
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Computational Neuroscience: Neural Dynamics |
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Machine Learning: Unsupervised Methods |
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Selected Topics in Neurocomputing: Vision |
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The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210