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Courses and Seminars

 

 

Winter term 2021/22
VL
Analysis II für Mathematiker*innen (4 SWS, Isis [1])
VL
Stochastische Prozesse in den Neurowissenschaften (2 SWS, mit Tilo Schwalger Isis [2])
SE
Stochastische Partielle Differentialgleichungen (Isis [3])
SE
Stochastische Modelle in den Neurowissenchaften (mit Tilo Schwalger Isis [4])
Summer term 2021
VL
Analysis für Mathematiker*innen (4 SWS, Isis [5])
VL
Stochastische Filtertheorie (2 SWS, Isis [6])
SE
Stochastische Partielle Differentialgleichungen (Isis [7])
Winter term WiSe 2020/21
VL
Wahrscheinlichkeitstheorie IV - Stochastische Partielle Differentialgleichungen [8] (2 SWS, Isis [9])
VL
Stochastische Filtertheorie [10] (2 SWS, Isis [11])
SE
Stochastische Partielle Differentialgleichungen [12] (Isis [13])
VL
Stochastische Prozesse in den Neurowissenschaften [14] (2SWS, mit Tilo Schwalger, Isis [15])
SE
Stochastische Modelle in den Neurowissenschaften [16] (mit Tilo Schwalger, Isis [17])
Summer Term SoSe 2020
VL
Wahrscheinlichkeitstheorie III [18] (4 SWS, Isis [19])
VL
Stochastische Filtertheorie [20] (2 SWS, Isis [21])
SE
Oberseminar Stochastische Partielle Differentialgleichungen [22] (Isis [23])
Summer Term SoSe 2019
VL
Wahrscheinlichkeitstheorie I [24] (Vorlesungsmaterial [25])
VL
Stochastische Kontrolltheorie [26] (2 SWS)
SE
Stochastische Modelle in den Neurowissenschaften [27]
Summer Term SoSe 2018
VL
Analysis I für Ingenieurwissenschaften [28]
(Vorlesungsmaterial auf ISIS [29])
VL
Stochastische Partielle Differentialgleichungen [30]

Stochastic Nerve Axon Equations: Modelling and Numerical Approximation [31]

SE
Stochastische Modelle in den Neurowissenschaften [32]
Winter Term WiSe2017/18
VL
Analysis II für Ingenieurwissenschaften [33]
(Vorlesungsmaterial auf ISIS)
SE
Stochastische Modelle in den Neurowissenschaften [34]

 Template for Bachelor and Master theses [35]

Summer Term SoSe2017
VL
Analysis I für Ingenieurwissenschaften [36]
(course material on ISIS [37])
VL
Stochastische Prozesse in den Neurowissenschaften I [38]
(course material [39])
SE
Stochastische Modelle in den Neurowissenschaften [40]
Winter Term WiSe2016/17
VL
Probability Theory IV [41] (Stoch. Partial Differential Eq.)
VL
Stochastic Processes in Neuroscience II [42]
(course material [43])

SE
Stochastic Models in Neuroscience [44]
Summer Term 2016
VL
Probability Theory III [45] (course material [46])

VL
Stochastic Processes in Neuroscience I [47] (course material [48])
SE
Stochastic Models in Neuroscience [49]
Winter Term 2015/16
VL
Probability Theory II/Stochastic Processes I [50]
(Course Material) [51]
SE
Stochastic Models in Neuroscience [52]
VL
Mathematics Prep Course for Computational Neuroscience [53]
Summer Term 2015
VL
Probability Theory I [54] (course material [55])
VL
Stochastic Processes in Neuroscience I [56] (course material WiSe 2013/14, SoSe 2015)
SE
Stochastic Models in Neuroscience [57]
Winter term 2014/15
VL
Stochastic Partial Differential Equations [58] (teaching material [59])
SE
Stochastic Models in Neuroscience [60]
Summer term 2014
L
Probability Theory III [61] (teaching material [62])
L
Stochastic Processes in Neuroscience II [63] (teaching material [64])
S
Stochastic Models in Neuroscience [65]
Winter term 2013/14
L
Probability Theory II [66] (teaching material [67])
L
Stochastic Processes in Neuroscience [68] (teaching material)
S
Stochastic Filter Theory [69]
Summer term 2013
L
Probability Theory I [70] (teaching material [71])
S
Stochastic Models in Neuroscience [72]
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