(The following topics include but are not limited to)
Topic 1: Applied Mathematics
Numerical solutions of differential equations
Optimization Theory and Algorithms
Matrix Calculation and Application
Probability and statistical methods
Computational Geometry Techniques
Mathematical modeling methods
Application of Operations Research
Application of Engineering Mathematics
Topic 2: Machine Learning
Supervised learning algorithm
Unsupervised learning methods
Deep learning models
Application of reinforcement learning
Transfer learning technology
Federated Learning Architecture
Explainable machine learning
Machine Learning Engineering
Topic 3: Engineering Simulation
Multi physics field simulation
Computational Fluid Dynamics
Finite Element Analysis
Simulation modeling technology
High performance computing simulation
Verification of simulation results
Digital twin simulation
Engineering simulation application