Akademy

Browse all posts in the Akademy category.

19 to 24 of 39

01NOV 2022
Akademy
Introduction to control and machine learning
Introduction to control and machine learning Professors: Enrique Zuazua, Yongcun Song Period: Winter Semester 2022/2023 Date: November to December 2022 ECTS: 05 This course at FAU StudON: https://www.studon.fau.de/studon/goto.php?target=crs_4724699
Read more about Introduction to control and machine learning
13OCT 2022
Akademy
Course: Mathematical Modeling in the Life Sciences
Course: Mathematical Modeling in the Life Sciences Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 – March 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Read more about Course: Mathematical Modeling in the Life Sciences
13OCT 2022
Akademy
Course: Transport Phenomena
Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 – March 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Read more about Course: Transport Phenomena
30SEP 2022
Akademy
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest in […]Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest in […]
Read more about Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
07SEP 2022
2022-resources
Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022)
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is a general introduction to important […]Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is a general introduction to important […]
Read more about Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022)
$Course: Control and optimization for non-local and fractional differential equations$
12AUG 2022
Akademy
Course: Control and optimization for non-local and fractional differential equations
Course: Control and optimization for non-local and fractional differential equations Period: Summer 2022 (August 1st – August 12nd, 2022) I. Introduction to Control Theory • Lecture 1: Introduction to Control Theory • Lecture 2: Introduction to Control Theory II. Non-local in time models • Lecture 3: ODE and ODE with memory • Lecture 4: Fractional […]
Read more about Course: Control and optimization for non-local and fractional differential equations