Dr. Laurenz Wiskott

Lehre / Teaching

	Schools
10. - 12.03.2009	Slow Feature Analysis: Theory and Applications (special course SC3 at the Interdisciplinary College IK2009 in Günne, Germany)
13. - 17.08.2007	Slowness, sparseness, statistical independence: principles of unsupervised learning in visual processing (at the FIAS Summer School in Frankfurt, Germany)
05. - 07.03.2004	Neural Computation (basic course BC2 at the Interdisciplinary College IK2004 in Günne, Germany)


	RUB-INI
SS 2013	Mathematics for Modeling and Data Analysis (310503/310513)
SS 2013	Computational Neuroscience: Vision and Memory (310504/310514)
01.02. - 01.03.2012	Theoretical Neuroscience (IGSN graduate program)
WS 2012/2013	Machine Learning: Unsupervised Methods (310003/310013)
SS 2012	Mathematics for Modeling and Data Analysis (310503/310513)
SS 2012	Computational Neuroscience: Vision and Memory (310504/310514)
20.01. - 17.02.2012	Theoretical Neuroscience (IGSN graduate program)
WS 2011/2012	Machine Learning: Basic Course (310003/310013)
SS 2011	Mathematics for Modeling and Data Analysis (310503/310513)
SS 2011	Computational Neuroscience: Vision and Memory (310504/310514)
21.01. - 18.02.2011	Theoretical Neuroscience (IGSN graduate program)
WS 2010/2011	Machine Learning: Basic Course (310003)
WS 2010/2011	Seminar: Model-based Data Analysis (310023)
SS 2010	Mathematics for Modeling and Data Analysis (310003)
SS 2010	Computational Neuroscience: Vision and Memory (310203)
SS 2010	Seminar: Model-based Data Analysis (310023)
22.01. - 19.02.2010	Theoretical Neuroscience (IGSN graduate program)
WS 2009/2010	Machine Learning: Basic Course
WS 2009/2010	Seminar: Model-based Data Analysis
SS 2009	Mathematische Methoden der Neuroinformatik (310003)
SS 2009	Computational Neuroscience: Vision and Memory (310203)
SS 2009	Seminar: Model-based Data Analysis


	HU-ITB
SS 2009	Models of Higher Brain Functions
WS 2008/2009	Models of Neural Systems (3110451)
29.09. - 02.10.2008	Computational Neuroscience (Mind & Brain graduate program)
29.09. - 10.10.2008	Mathematics for Theoretical Biologists
SS 2008	Mathematik für Biolog(inn)en III (31179)
SS 2008	Models of Higher Brain Functions (31111)
SS 2008	Computational Neuroscience - Oberseminar (31173)
WS 2007/2008	Neural Networks and Machine Learning
WS 2007/2008	Models of Neural Systems (31064 [BXY-27], 31143)
WS 2007/2008	23 Problems in Systems Neuroscience - Oberseminar
WS 2007/2008	Computational Neuroscience - Oberseminar
SS 2007	Mathematik für Biolog(inn)en III (31032)
SS 2007	Models of Higher Brain Functions (31200)
SS 2007	Computational Neuroscience - Oberseminar (31192)
WS 2006/2007	Datenanalyse und stochastische Prozesse (31164)
WS 2006/2007	Models of Neural Systems
WS 2006/2007	Computational Neuroscience - Oberseminar
SS 2006	Mathematik für Biolog(inn)en III (31031)
SS 2006	Neuronale Netze und Maschinelles Lernen (31192)
SS 2006	Computational Neuroscience - Oberseminar (31196)
WS 2005/2006	Datenanalyse und stochastische Prozesse (31162)
WS 2005/2006	Computational Neuroscience III: Theory of Neuronal Systems (31161)
WS 2005/2006	Computational Neuroscience - Oberseminar (31170)
SS 2005	Mathematik für Biolog(inn)en III (31030)
SS 2005	Computational Neuroscience - Oberseminar (31197)
WS 2004/2005	Datenanalyse und stochastische Prozesse
WS 2004/2005	Computational Neuroscience - Oberseminar (31178)
SS 2004	Mathematik für Biolog(inn)en III (31028)
SS 2004	Computational Neuroscience - Oberseminar (31187)
WS 2003/2004	Datenanalyse und stochastische Prozesse
WS 2003/2004	Computational Neuroscience III: Theory of Neural Networks
SS 2003	Computational Neuroscience V: Seminar on ''Learning and Memory''
SS 2003	Mathematik für Biologen III
WS 2002/2003	Künstliche neuronale Netze
SS 2002	Mathematik für Biologen III
WS 2001/2002	Theorie neuronaler Netzwerke
SS 2001	Neuronale Codierung: Datenanalyse und Informationstheorie
WS 2000/2001	Mathematik für Biologen I - Übungen
SS 2000	Spielen lernen
WS 1999/2000	Theorie neuronaler Systeme

Laurenz Wiskott, http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/