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Courses and Seminars

 

 

Summer term 2021
VL
Analysis für Mathematiker*innen (4 SWS, Isis [1])
VL
Stochastische Filtertheorie (2 SWS, Isis [2])
SE
Stochastische Partielle Differentialgleichungen (Isis [3])
Winter term WiSe 2020/21
VL
Wahrscheinlichkeitstheorie IV - Stochastische Partielle Differentialgleichungen [4] (2 SWS, Isis [5])
VL
Stochastische Filtertheorie [6] (2 SWS, Isis [7])
SE
Stochastische Partielle Differentialgleichungen [8] (Isis [9])
VL
Stochastische Prozesse in den Neurowissenschaften [10] (2SWS, mit Tilo Schwalger, Isis [11])
SE
Stochastische Modelle in den Neurowissenschaften [12] (mit Tilo Schwalger, Isis [13])
Summer Term SoSe 2020
VL
Wahrscheinlichkeitstheorie III [14] (4 SWS, Isis [15])
VL
Stochastische Filtertheorie [16] (2 SWS, Isis [17])
SE
Oberseminar Stochastische Partielle Differentialgleichungen [18] (Isis [19])
Summer Term SoSe 2019
VL
Wahrscheinlichkeitstheorie I [20] (Vorlesungsmaterial [21])
VL
Stochastische Kontrolltheorie [22] (2 SWS)
SE
Stochastische Modelle in den Neurowissenschaften [23]
Summer Term SoSe 2018
VL
Analysis I für Ingenieurwissenschaften [24]
(Vorlesungsmaterial auf ISIS [25])
VL
Stochastische Partielle Differentialgleichungen [26]

Stochastic Nerve Axon Equations: Modelling and Numerical Approximation [27]

SE
Stochastische Modelle in den Neurowissenschaften [28]
Winter Term WiSe2017/18
VL
Analysis II für Ingenieurwissenschaften [29]
(Vorlesungsmaterial auf ISIS)
SE
Stochastische Modelle in den Neurowissenschaften [30]

 Template for Bachelor and Master theses [31]

Summer Term SoSe2017
VL
Analysis I für Ingenieurwissenschaften [32]
(course material on ISIS [33])
VL
Stochastische Prozesse in den Neurowissenschaften I [34]
(course material [35])
SE
Stochastische Modelle in den Neurowissenschaften [36]
Winter Term WiSe2016/17
VL
Probability Theory IV [37] (Stoch. Partial Differential Eq.)
VL
Stochastic Processes in Neuroscience II [38]
(course material [39])

SE
Stochastic Models in Neuroscience [40]
Summer Term 2016
VL
Probability Theory III [41] (course material [42])

VL
Stochastic Processes in Neuroscience I [43] (course material [44])
SE
Stochastic Models in Neuroscience [45]
Winter Term 2015/16
VL
Probability Theory II/Stochastic Processes I [46]
(Course Material) [47]
SE
Stochastic Models in Neuroscience [48]
VL
Mathematics Prep Course for Computational Neuroscience [49]
Summer Term 2015
VL
Probability Theory I [50] (course material [51])
VL
Stochastic Processes in Neuroscience I [52] (course material WiSe 2013/14, SoSe 2015)
SE
Stochastic Models in Neuroscience [53]
Winter term 2014/15
VL
Stochastic Partial Differential Equations [54] (teaching material [55])
SE
Stochastic Models in Neuroscience [56]
Summer term 2014
L
Probability Theory III [57] (teaching material [58])
L
Stochastic Processes in Neuroscience II [59] (teaching material [60])
S
Stochastic Models in Neuroscience [61]
Winter term 2013/14
L
Probability Theory II [62] (teaching material [63])
L
Stochastic Processes in Neuroscience [64] (teaching material)
S
Stochastic Filter Theory [65]
Summer term 2013
L
Probability Theory I [66] (teaching material [67])
S
Stochastic Models in Neuroscience [68]
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