Topic 1: Data Science
data analysis
Exploring Data Density and Structure through Programming
Data access
Statistical models and data fitting
Big data technology
Space Information and Digital Technology
Computing Environments
Computer aided data analysis
Calculate Bayesian method
data mining
Data visualization
High dimensional data analysis
Kernel and Monte Carlo methods
data transmission technology
Data detection and understanding
Signal Processing
Data processing architecture
Time series analysis
Topic 2: Statistics
Statistical Theory and Methods
Statistical calculation
multivariable statistics
Statistical Forecasting and Decision Making
statistical mechanics
Statistical Logic
Statistical Law
economic statistics
Managerial Statistics
Science and Technology Statistics
Social Statistics
Educational Statistics
Medical Statistics
Environmental and Ecological Statistics
engineering statistics
Chemistry and Program Analysis
Topic 3: Computational Intelligence
Computer Vision
image classification 
object detection
semantic segmentation
Face recognition
Image Generation
natural language processing
machine translation
speech recognition
Sentiment analysis
Text generation
Dialogue system
Theoretical model construction
Machine consciousness and self-awareness
Understanding and reasoning ability
General intelligent system
Ethical and safety issues