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Teaching

 

Template for Bachelor- and Master theses [1] (in German)

 

Winter term 2021/22
VL
Analysis II für Mathematiker*innen (4 SWS, Isis [2])
VL
Stochastische Prozesse in den Neurowissenschaften (2 SWS, mit Tilo Schwalger Isis [3])
SE
Stochastische Partielle Differentialgleichungen (Isis [4])
SE
Stochastische Modelle in den Neurowissenchaften (mit Tilo Schwalger Isis [5])
Summer term 2021
VL
Analysis für Mathematiker*innen (4 SWS, Isis [6])
VL
Stochastische Filtertheorie (2 SWS, Isis [7])
SE
Stochastische Partielle Differentialgleichungen (Isis [8])
Winter term WiSe 2020/21
VL
Wahrscheinlichkeitstheorie IV - Stochastische Partielle Differentialgleichungen [9] (2 SWS, Isis [10])
VL
Stochastische Filtertheorie [11] (2 SWS, Isis [12])
SE
Stochastische Partielle Differentialgleichungen [13] (Isis [14])
VL
Stochastische Prozesse in den Neurowissenschaften [15] (2SWS, mit Tilo Schwalger, Isis [16])
SE
Stochastische Modelle in den Neurowissenschaften [17] (mit Tilo Schwalger, Isis [18])
Summer Term SoSe 2020
VL
Wahrscheinlichkeitstheorie III [19] (4 SWS, Isis [20])
VL
Stochastische Filtertheorie [21] (2 SWS, Isis [22])
SE
Oberseminar Stochastische Partielle Differentialgleichungen [23] (Isis [24])
Summer Term SoSe 2019
VL
Wahrscheinlichkeitstheorie I [25] (Vorlesungsmaterial [26])
VL
Stochastische Kontrolltheorie [27] (2 SWS)
SE
Stochastische Modelle in den Neurowissenschaften [28]
Summer Term SoSe 2018
VL
Analysis I für Ingenieurwissenschaften [29]
(Vorlesungsmaterial auf ISIS [30])
VL
Stochastische Partielle Differentialgleichungen [31]

Stochastic Nerve Axon Equations: Modelling and Numerical Approximation [32]

SE
Stochastische Modelle in den Neurowissenschaften [33]
Winter Term WiSe2017/18
VL
Analysis II für Ingenieurwissenschaften [34]
(Vorlesungsmaterial auf ISIS)
SE
Stochastische Modelle in den Neurowissenschaften [35]

 Template for Bachelor and Master theses [36]

Summer Term SoSe2017
VL
Analysis I für Ingenieurwissenschaften [37]
(course material on ISIS [38])
VL
Stochastische Prozesse in den Neurowissenschaften I [39]
(course material [40])
SE
Stochastische Modelle in den Neurowissenschaften [41]
Winter Term WiSe2016/17
VL
Probability Theory IV [42] (Stoch. Partial Differential Eq.)
VL
Stochastic Processes in Neuroscience II [43]
(course material [44])

SE
Stochastic Models in Neuroscience [45]
Summer Term 2016
VL
Probability Theory III [46] (course material [47])

VL
Stochastic Processes in Neuroscience I [48] (course material [49])
SE
Stochastic Models in Neuroscience [50]
Winter Term 2015/16
VL
Probability Theory II/Stochastic Processes I [51]
(Course Material) [52]
SE
Stochastic Models in Neuroscience [53]
VL
Mathematics Prep Course for Computational Neuroscience [54]
Summer Term 2015
VL
Probability Theory I [55] (course material [56])
VL
Stochastic Processes in Neuroscience I [57] (course material WiSe 2013/14, SoSe 2015)
SE
Stochastic Models in Neuroscience [58]
Winter term 2014/15
VL
Stochastic Partial Differential Equations [59] (teaching material [60])
SE
Stochastic Models in Neuroscience [61]
Summer term 2014
L
Probability Theory III [62] (teaching material [63])
L
Stochastic Processes in Neuroscience II [64] (teaching material [65])
S
Stochastic Models in Neuroscience [66]
Winter term 2013/14
L
Probability Theory II [67] (teaching material [68])
L
Stochastic Processes in Neuroscience [69] (teaching material)
S
Stochastic Filter Theory [70]
Summer term 2013
L
Probability Theory I [71] (teaching material [72])
S
Stochastic Models in Neuroscience [73]
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