Engineering Basics
This course is intended 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. The course condenses 16 courses that normally take 20 semesters to teach in one semester.
讲师
日期
2025年10月23日 至 12月15日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周一,周四 | 19:20 - 21:45 | A3-1-301 | ZOOM 01 | 928 682 9093 | BIMSA |
修课要求
Basic knowledge on calculus, linear algebra, differential equations，and general physics.
课程大纲
（1）Solid Mechanics
a) Theoretical Mechanics
b) Material Mechanics
c) Elastic Mechanics
（2）Fluid Mechanics
a) Basics of Fluid Dynamics
b) Gas Dynamics
c) Viscous Fluid Mechanics
d) Turbulence
（3）Thermal Engineering
a) Thermodynamics
b) Heat Transfer
c) Mass Transfer
（5）Dynamics with Chemical Reactions
a) Chemical Kinetics
b) Combustion
c) Galaxy Structure and Gathering of Myxomycete Amoeba
d) Microbiological Systems
（6）Extended Topics
a) Percolation Mechanics
b) Physics Informed Neural Networks
a) Theoretical Mechanics
b) Material Mechanics
c) Elastic Mechanics
（2）Fluid Mechanics
a) Basics of Fluid Dynamics
b) Gas Dynamics
c) Viscous Fluid Mechanics
d) Turbulence
（3）Thermal Engineering
a) Thermodynamics
b) Heat Transfer
c) Mass Transfer
（5）Dynamics with Chemical Reactions
a) Chemical Kinetics
b) Combustion
c) Galaxy Structure and Gathering of Myxomycete Amoeba
d) Microbiological Systems
（6）Extended Topics
a) Percolation Mechanics
b) Physics Informed Neural Networks
听众
Advanced Undergraduate
, Graduate
, 博士后
, Researcher
视频公开
公开
笔记公开
公开
语言
中文
讲师介绍
张晓明博士先后在浙江大学、北京大学、麻省理工学院获得学士、硕士和博士学位。现任北京雁栖湖应用数学研究院研究员，人工智能和机器学习团队PI。他目前的研究兴趣是对开发由数据和领域知识驱动的机器学习算法，并将其应用于各种物理、生物和社会现象的解释和量化。