The course "Pattern Recognition” enables the students to understand basic, as well as advanced techniques of pattern classification and analysis that are used in machine interpretation of a world and environment in which machine works. Pattern recognition is basic building block of understanding human-machine interaction.
Learning Outcomes
 

•     Explain and define concepts of pattern recognition
•     Explain and distinguish porocedures, methods and algorithms related to pattern recognition
•     Apply methods from the pattern recognition for new complex applications
•     Analyze and breakdown problem related to the complex pattern recognition system
•     Design and develop a pattern recognition system for the specific application
•     Evaluate quality of solution of the pattern recognition system

Type of methodology: Combination of lecture and hands-on

Paid training activity for participants: Yes, for some only

Participants prerequisite knowledge: C/C++

Language: English and Croatian