AI for ODEs
This course shows how AI helps with ordinary differential equations that describe changing systems. We’ll review core ODE ideas, then use neural networks to both solve equations and build continuous-time models. Along the way, we’ll read selected thesis chapters, surveys, and key papers to connect ideas with practice. Examples will compare AI with classic numerical methods and show when to use each for real problems in biology, engineering, and more.
Lecturer
Date
30th September ~ 30th December, 2025
Location
Weekday | Time | Venue | Online | ID | Password |
---|---|---|---|---|---|
Tuesday | 14:20 - 17:50 | A3-4-101 | Zoom 16 | 468 248 1222 | BIMSA |
Audience
Undergraduate
, Advanced Undergraduate
, Graduate
, Postdoc
, Researcher
Video Public
No
Notes Public
No
Language
English