(The following topics include but are not limited to)
Topic 1. Applied Mathematics
Linear algebra, matrix theory
Complex analysis
Differential equation
Laplace transform
Fourier analysis, numerical analysis
Control theory
Topology, functional, computational mathematics
Optimization and its algorithm
Mathematical psychology
Apply multivariate statistical analysis and time series analysis
Applied stochastic process
Economic data modeling and forecasting
Database system and application development
Topic 2. Industrial modeling
Dynamic modeling and real-time simulation
Application of digital twin in intelligent manufacturing
Complex system simulation
3D geometric modeling and feature recognition
Additive manufacturing (3D printing) modeling
Man-machine collaboration modeling
Industrial big data analysis and predictive modeling
Machine Learning/Deep Learning modeling
Device interconnection and edge computing modeling
Industrial automation modeling
Manufacturing system modeling and optimization
Topic 3. Big Data algorithms
Fundamentals of computer science
Fundamentals of mathematics, programming languages
Big data technology and architecture
Machine learning, data mining
Advanced data analysis
Computer network technology
Web front-end technology foundation, Linux operating system
Basic programming, Python programming
Database technology, data acquisition technology, data preprocessing technology
Big data analysis technology application
Data visualization technology and application, data mining application
Big data platform deployment and operation