(Including but not limited to the following topics)
Topic 1: Education
Mathematics education
Computer science education
Teaching of electronic information courses
Programming education and automatic assessment
Teaching of data structures and algorithms
Teaching of databases and big data
Teaching of artificial intelligence and machine learning courses
Teaching of network security and cryptography
Software engineering and project-based teaching
Teaching of discrete mathematics and mathematical logic
Teaching of probability statistics and linear algebra
Teaching of computer organization and architecture
Teaching of operating systems and network courses
Teaching of digital circuits and logic design
Teaching of signal processing and communication principles
Virtual simulation experimental teaching platform
Educational technology and instructional design
Topic 2: Artificial Intelligence
Machine learning and deep learning
Natural language processing
Computer vision and pattern recognition
Knowledge representation and reasoning
Reinforcement learning and sequential decision-making
Generative models
Graph neural networks and graph learning
Transfer learning and domain adaptation
Interpretable artificial intelligence and causal inference
Adversarial learning and model robustness
Federated learning and privacy protection
Large language models and fine-tuning techniques
Multi-agent systems
Neural symbolic computing
Embodied intelligence and autonomous agents
Topic 3: Big Data Technology
Distributed storage and file systems
Big data computing frameworks
Stream data processing and real-time computing
Data cleaning and preprocessing
Large-scale data visualization
Data privacy protection and secure computing
Data quality management and governance
NoSQL and graph databases
Data lakes and data warehouses
Big data architecture and microservices
Data lifecycle management
High-performance computing and cluster scheduling
Edge computing and cloud collaboration
Big data benchmarking
Data integration and ETL processes