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TU Berlin

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Courses and Seminars

Summer Term SoSe 2019
VL
Wahrscheinlichkeitstheorie I (Vorlesungsmaterial)
VL
Stochastische Kontrolltheorie (2 SWS)
SE
Stochastische Modelle in den Neurowissenschaften
Summer Term SoSe 2018
VL
Analysis I für Ingenieurwissenschaften
(Vorlesungsmaterial auf ISIS)
VL
Stochastische Partielle Differentialgleichungen

Stochastic Nerve Axon Equations: Modelling and Numerical Approximation

SE
Stochastische Modelle in den Neurowissenschaften

 

 

Winter Term WiSe2017/18
VL
Analysis II für Ingenieurwissenschaften
(Vorlesungsmaterial auf ISIS)
SE
Stochastische Modelle in den Neurowissenschaften

 Template for Bachelor and Master theses

 

Summer Term SoSe2017
VL
Analysis I für Ingenieurwissenschaften
(course material on ISIS)
VL
Stochastische Prozesse in den Neurowissenschaften I
(course material)
SE
Stochastische Modelle in den Neurowissenschaften
Winter Term WiSe2016/17
VL
Probability Theory IV (Stoch. Partial Differential Eq.)
VL
Stochastic Processes in Neuroscience II
(course material)

SE
Stochastic Models in Neuroscience
Summer Term 2016
VL
Probability Theory III (course material)

VL
Stochastic Processes in Neuroscience I (course material)
SE
Stochastic Models in Neuroscience
Winter Term 2015/16
VL
Probability Theory II/Stochastic Processes I
(Course Material)
SE
Stochastic Models in Neuroscience
VL
Mathematics Prep Course for Computational Neuroscience
Summer Term 2015
VL
Probability Theory I (course material)
VL
Stochastic Processes in Neuroscience I (course material WiSe 2013/14, SoSe 2015)
SE
Stochastic Models in Neuroscience
Winter term 2014/15
VL
Stochastic Partial Differential Equations (teaching material)
SE
Stochastic Models in Neuroscience
Summer term 2014
L
Probability Theory III (teaching material)
L
Stochastic Processes in Neuroscience II (teaching material)
S
Stochastic Models in Neuroscience
Winter term 2013/14
L
Probability Theory II (teaching material)
L
Stochastic Processes in Neuroscience (teaching material)
S
Stochastic Filter Theory
Summer term 2013
L
Probability Theory I (teaching material)
S
Stochastic Models in Neuroscience

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