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Computational Intelligence


Credits: 6

Objectives: The objective of this course is to teach the theoretical background and the basic methodologies for developing intelligent systems, i.e., systems that show the remarkable ability to reason and learn in uncertain and imprecise environments. The course enables the students to design and develop intelligent systems in several application domains.

Description: This course covers the theory and application of a number of computational intelligence methodologies, including artificial neural networks, fuzzy inference systems and genetic algorithms.

The focus is on the design and development of computationally intelligent systems with human-like capabilities in terms of reasoning, learning and adaptation. Special emphasis will be placed on linking computational intelligence techniques to real world applications and projects.

Assessment: Oral exam and practical project.

Prerequisites: None

Modules: 1

Module 1 (6 Credits): Computational Intelligence

 

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