3 Course Content

Topics covered in this course include (among others):

• Uncertainty reasoning
• Probabilistic models and reasoning techniques (including Hidden Markov Models, Markov Processes,
• Sampling-based algorithms for problems with large amounts of data
• Semantic analysis and machine learning techniques for knowledge discovery
• Machine learning and automatic knowledge transfer
• Genetic, evolutionary, and swarm-based algorithms
• Natural language techniques
• Semantic image analysis
• Health application