📚️️Fundamentals and Engineering of Data Science 

Data Engineering and Pipelines 

Big data system and storage 

Data warehouse, lake, warehouse lake integration 

Data integration and data quality 

Cloud computing and edge computing architecture 

High performance and parallel computing 

Internet of things data acquisition and processing

📚️️Intelligent Analysis and Machine Learning

Machine learning and deep learning

Predictive Modeling and Statistical Learning

Data Mining and Knowledge Discovery

Timing analysis and pattern recognition

Graph data management and graph learning

Natural Language Processing and Text Analysis

Computer Vision and Multimodal Analysis

📚️️Intelligent Decision and Application System 

Intelligent Decision Support System 

Real-time streaming decision engine 

Automated decision-making and workflow 

Multi-agent collaborative decision-making 

Optimization theory and operational research algorithm 

Risk management and resilience system 

Human-machine collaboration and interactive decision-making

📚️️Data security and decision credibility

Privacy computing and federated learning 

Data security and encryption technology 

Credible AI and interpretability 

Algorithm fairness and robustness 

Confronting Machine Learning and Security 

Blockchain and decentralized trust 

System audit and performance assurance