AI in the Sciences and Engineering (2024)
Description
AI is having a profound impact on science by accelerating discoveries across physics, chemistry, biology, and engineering. This course presents a highly topical selection of AI applications across these fields. Emphasis is placed on using AI, particularly deep learning, to understand systems modelled by PDEs, and key scientific machine learning concepts and themes are discussed.
Learning objectives
- Aware of advanced applications of AI in the sciences and engineering
- Familiar with the design, implementation, and theory of these algorithms
- Understand the pros/cons of using AI and deep learning for science
- Understand key scientific machine learning concepts and themes
![](/bin/ethz/components/previewImage/youtube/LkKvhvsf6jY.jpg)
Lecturers
Deputy head of Seminar for Applied Mathematics
Seminar für Angewandte Mathematik
Rämistrasse 101
8092
Zürich
Switzerland
![Prof. Dr. Siddhartha Mishra](/teaching/ai-in-the-sciences-and-engineering-2024.person_image.jpeg?persid=MTY2MzQ3)
ETH AI Center
Andreasstrasse 5
8092
Zürich
Switzerland
![Dr. Benjamin Moseley](/teaching/ai-in-the-sciences-and-engineering-2024.person_image.jpeg?persid=MzExMjkw)
Guest Lecturer
ETH Zurich
Department of Mathematics
HG G 54.1
Rämistrasse 101
8092
Zurich
Switzerland
Teaching Assistants
Seminar für Angewandte Mathematik
Rämistrasse 101
8092
Zürich
Switzerland