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
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