Engineering Basics for Mathematicians
This course is intended for students and researchers with mathematics background. The purpose is to help the attendees to have a quick grasp of engineering basics, a quick entry to future engineering related research projects, and a quick mastery of communication language with professional engineers.
Lecturer
Date
12th October, 2023 ~ 26th January, 2024
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Thursday | 14:20 - 16:55 | A3-1-103 | ZOOM A | 388 528 9728 | BIMSA |
Prerequisite
Basic knowledge on college mathematics and high school physics, chemistry, and biology
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) Percolation Mechanics
9) Turbulence
10) Heat Transfer
11) Mass Transfer
12) Chemical Kinetics
13) Combustion
14) Galaxy Structure and Gathering of Myxomycete Amoeba
15) Biological Engineering
16) Direct Methods in the Calculus of Variations
2) Material Mechanics
3) Elastic Mechanics
4) Basics of Fluid Dynamics
5) Thermodynamics
6) Gas Dynamics
7) Viscous Fluid Mechanics
8) Percolation Mechanics
9) Turbulence
10) Heat Transfer
11) Mass Transfer
12) Chemical Kinetics
13) Combustion
14) Galaxy Structure and Gathering of Myxomycete Amoeba
15) Biological Engineering
16) Direct Methods in the Calculus of Variations
Audience
Graduate
, Postdoc
, Researcher
Video Public
No
Notes Public
No
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.