In this course the basic topics on statistical pattern recognition and deep neural networks are introduced:

• Introduction to statistical and neural pattern recognition
• Linear and nonlinear classifiers
• Kernel methods and learning deep neural network
• Feature extraction, selection and reduction
• Applications and system performance evaluation