Winter Semester

 

Courses offered during the Winter Semester

Winter semester 2023/2024

  • Numerical methods for Stochastic Differential Equations with connections to Machine Learning, RWTHonline 
  • Mathematics I (for Mechanical Engineers), RWTHonline
  • Seminar: Mathematics for Uncertainty Quantification, RWTHonline
  • Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks, RWTHonline
  • Seminar: Data Science under Uncertainty, RWTHonline

Winter semester 2022/2023

  • Numerical methods for Stochastic Differential Equations with connections to Machine Learning, RWTHonline 
  • Mathematics III, RWTHonline
  • Seminar: Mathematics for Uncertainty Quantification, RWTHonline
  • Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks, RWTHonline (tba)
  • Seminar: Data Science under Uncertainty, RWTHonline
  • Seminar: Higher Mathematics II: revision course, RWTHonline

Winter Semester 2021/2022

  • Numerical methods for Stochastic Differential Equations with connections to Machine Learning, RWTHonline 
  • Mathematics and numerics for data assimilation and state estimation, RWTHonline 
  • Seminar: Mathematics for Uncertainty Quantification, RWTHonline
  • Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks, RWTHonline (tba)
  • Seminar: Data Science under Uncertainty, RWTHonline

Winter Semester 2020/2021

  • Numerical methods for Stochastic Differential Equations with connections to Machine Learning, RWTHonline
  • Seminar: Mathematics for Uncertainty Quantification, RWTHonline
  • Seminar: Quantifying uncertainties in Machine Learning, RWTHonline

Winter Semester 2019/2020

  • Numerical methods for Stochastic Differential Equations with connections to Machine Learning, RWTHonline
  • Mathematics and numerics for data assimilation and state estimation, RWTHonline
  • Seminar: Mathematics for Uncertainty Quantification, RWTHonline
  • Seminar: Multilevel Monte Carlo, RWTHonline

 

Courses Offered During Winter Semester 23/24

Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks Copyright: © UQ

Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks

Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks Copyright: © UQ

Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural Networks

Mathematics for Uncertainty Quantification Copyright: © UQ

Mathematics for Uncertainty Quantification

Data Science under Uncertainty Copyright: © UQ

Data Science under Uncertainty

Numerical methods for Stochastic Differential Equations with connections to Machine Learning Copyright: © UQ

Numerical methods for Stochastic Differential Equations with connections to Machine Learning