Ph.D. Course on

Scientific Machine Learning

Kongens Lyngby, June 13th^th to June 17th^th 2022

The program for the course is as follows:

1. Introduction to Scientific Machine Learning (SciML)

2. Physics-Informed Neural Networks

3. Automatic Differentiation and Differentiable Programming

4. Neural Differential Equations

5. Universal Differential Equations and Symbolic Regression

6. Neural Operators

All lectures will take place in building 303a auditorium 43, and all hands-on exercises will take place in Building 303a Auditorium 43.

Time	Monday, 13^th	Tuesday, 14^th	Wednesday, 15^th	Thursday, 16^th	Friday, 17^th
8.30-9.00	Breakfast *)	Breakfast *)	Breakfast *)	Breakfast *)	Breakfast *)
9.00-11.30	1	2	3	4 + 5	6

11.30-12.30	Lunch **)	Lunch **)	Lunch **)	Lunch **)	Lunch **)
12.30-16.00	Hands-on	Hands-on	Hands-on	Hands-on	Project work

*) Minor breakfast and coffee/tee and refreshments during the day is sponsered by DTU Compute, DCAMM and the Danish Data Science Academy (DDSA) during the course.

**) Lunch . Relocate to the DTU Canteen for lunch (DTU Building 101) during 11.30-12.30.