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
 
Lecturers
Head of Seminar for Applied Mathematics
            Seminar für Angewandte Mathematik
                    Rämistrasse 101
                8092 
                Zürich
            Switzerland
            
          
            ETH AI Center
                    Andreasstrasse 5
                8092 
                Zürich
            Switzerland
            
          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