Introduction to Computational Intelligence

Each Wednesday: group 1 at 12:00h, group 2 at 16:00h.

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Program		Type	Requirements
Informatics,	Diplom	: Leistungsnachweis	-> must pass tutorial
Informatics,	Diplom	: Fachprüfung	-> oral examination (30 min)
Informatics,	Bachelor	: Module	-> oral examination (30 min)
Automation & Robotics,	Master	: Module	-> oral examination (30 min)

Typically, Computational Intelligence is used as an umbrella term for the fields of artificial neural nets (ANN), fuzzy systems (FS) and evolutionary computation (EC). This course offers a thorough introduction into all three fields.

Foundations of ANN: McCulloch-Pitts nets, perceptrons, Hopfield nets, supervised and unsupervised learning, backpropagation.
Foundations of FS: Fuzzy sets, fuzzy numbers, fuzzy logic, fuzzy reasoning.
Foundations of EC: Algorithmic basics, parameterization, analysis methods, limits of deployment.

Students should get an overview about the different aspects of Computational Intelligence. They should be familiar with the essential elements in all three fields (ANN, FS, EC) and able to deploy and adapt these methods for real applications. Moreover, they should be able to assess when to deploy these methods and when not.