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Teaching

 

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

 

Summer term 2022
VL
Analysis III für Mathematiker*innen (4 SWS, Isis [2])
VL
Malliavin Calculus (2 SWS, Isis [3])
SE
Stochastic Partial Differential Equations (Isis [4])

 

 

Winter term 2021/22
VL
Analysis II für Mathematiker*innen (4 SWS, Isis [5])
VL
Stochastische Prozesse in den Neurowissenschaften (2 SWS, mit Tilo Schwalger Isis [6])
SE
Stochastische Partielle Differentialgleichungen (Isis [7])
SE
Stochastische Modelle in den Neurowissenchaften (mit Tilo Schwalger Isis [8])
Summer term 2021
VL
Analysis für Mathematiker*innen (4 SWS, Isis [9])
VL
Stochastische Filtertheorie (2 SWS, Isis [10])
SE
Stochastische Partielle Differentialgleichungen (Isis [11])
Winter term WiSe 2020/21
VL
Wahrscheinlichkeitstheorie IV - Stochastische Partielle Differentialgleichungen [12] (2 SWS, Isis [13])
VL
Stochastische Filtertheorie [14] (2 SWS, Isis [15])
SE
Stochastische Partielle Differentialgleichungen [16] (Isis [17])
VL
Stochastische Prozesse in den Neurowissenschaften [18] (2SWS, mit Tilo Schwalger, Isis [19])
SE
Stochastische Modelle in den Neurowissenschaften [20] (mit Tilo Schwalger, Isis [21])
Summer Term SoSe 2020
VL
Wahrscheinlichkeitstheorie III [22] (4 SWS, Isis [23])
VL
Stochastische Filtertheorie [24] (2 SWS, Isis [25])
SE
Oberseminar Stochastische Partielle Differentialgleichungen [26] (Isis [27])
Summer Term SoSe 2019
VL
Wahrscheinlichkeitstheorie I [28] (Vorlesungsmaterial [29])
VL
Stochastische Kontrolltheorie [30] (2 SWS)
SE
Stochastische Modelle in den Neurowissenschaften [31]
Summer Term SoSe 2018
VL
Analysis I für Ingenieurwissenschaften [32]
(Vorlesungsmaterial auf ISIS [33])
VL
Stochastische Partielle Differentialgleichungen [34]

Stochastic Nerve Axon Equations: Modelling and Numerical Approximation [35]

SE
Stochastische Modelle in den Neurowissenschaften [36]
Winter Term WiSe2017/18
VL
Analysis II für Ingenieurwissenschaften [37]
(Vorlesungsmaterial auf ISIS)
SE
Stochastische Modelle in den Neurowissenschaften [38]

 Template for Bachelor and Master theses [39]

Summer Term SoSe2017
VL
Analysis I für Ingenieurwissenschaften [40]
(course material on ISIS [41])
VL
Stochastische Prozesse in den Neurowissenschaften I [42]
(course material [43])
SE
Stochastische Modelle in den Neurowissenschaften [44]
Winter Term WiSe2016/17
VL
Probability Theory IV [45] (Stoch. Partial Differential Eq.)
VL
Stochastic Processes in Neuroscience II [46]
(course material [47])

SE
Stochastic Models in Neuroscience [48]
Summer Term 2016
VL
Probability Theory III [49] (course material [50])

VL
Stochastic Processes in Neuroscience I [51] (course material [52])
SE
Stochastic Models in Neuroscience [53]
Winter Term 2015/16
VL
Probability Theory II/Stochastic Processes I [54]
(Course Material) [55]
SE
Stochastic Models in Neuroscience [56]
VL
Mathematics Prep Course for Computational Neuroscience [57]
Summer Term 2015
VL
Probability Theory I [58] (course material [59])
VL
Stochastic Processes in Neuroscience I [60] (course material WiSe 2013/14, SoSe 2015)
SE
Stochastic Models in Neuroscience [61]
Winter term 2014/15
VL
Stochastic Partial Differential Equations [62] (teaching material [63])
SE
Stochastic Models in Neuroscience [64]
Summer term 2014
L
Probability Theory III [65] (teaching material [66])
L
Stochastic Processes in Neuroscience II [67] (teaching material [68])
S
Stochastic Models in Neuroscience [69]
Winter term 2013/14
L
Probability Theory II [70] (teaching material [71])
L
Stochastic Processes in Neuroscience [72] (teaching material)
S
Stochastic Filter Theory [73]
Summer term 2013
L
Probability Theory I [74] (teaching material [75])
S
Stochastic Models in Neuroscience [76]
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