First Principles for Math and AI Researchers
This course is intended for graduate students and researchers in the areas of mathematics and artificial intelligence. The purpose is to help the attendees to have a quick grasp of first principles in various scientific fields.
Lecturer
Date
13th March ~ 10th July, 2024
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Wednesday | 19:20 - 21:55 | A3-1-301 | ZOOM 02 | 518 868 7656 | BIMSA |
Prerequisite
Basic knowledge on mathematics, physics, chemistry and numerical methods.
Syllabus
1) Theoretical Mechanics
2) Material Mechanics
3) Elastic Mechanics
4) Basics of Fluid Dynamics
5) Thermodynamics
6) Gas Dynamics
7) Viscous Fluid Mechanics
8) Chemical Kinetics
9) Calculus of Variations
10) Direct Methods in the Calculus of Variations
11) Turbulence
12) Heat Transfer
13) Mass Transfer
14) Galaxy Structure and Gathering of Myxomycete Amoeba
15) Machine Learning from First Principles
16) Combustion
2) Material Mechanics
3) Elastic Mechanics
4) Basics of Fluid Dynamics
5) Thermodynamics
6) Gas Dynamics
7) Viscous Fluid Mechanics
8) Chemical Kinetics
9) Calculus of Variations
10) Direct Methods in the Calculus of Variations
11) Turbulence
12) Heat Transfer
13) Mass Transfer
14) Galaxy Structure and Gathering of Myxomycete Amoeba
15) Machine Learning from First Principles
16) Combustion
Audience
Undergraduate
, Advanced Undergraduate
, Graduate
, Postdoc
, Researcher
Video Public
Yes
Notes Public
Yes
Language
Chinese
Lecturer Intro
Dr. Zhang Xiaoming received his bachelor's, master's, and doctor's degrees from Zhejiang University, Peking University, and Massachusetts Institute of Technology. He is currently a professor at the Beijing Institute of Mathematical Sciences and Applications, responsible for the artificial intelligence and big data research team. Dr. Zhang has long been engaged in the research, development, and application of artificial intelligence technologies to big data prediction and resource optimization and allocations problems. He presided over the development of digital intelligence service platform "printing and dyeing brain", which was well recognized in the industry. At present, his work focuses on the mathematical problems in developing industrial digital twins.