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Günter Rudolph: Lecture Introduction to Computational Intelligence (WS 2010/11)

Introduction to Computational Intelligence

(Wahlmodul INF-BA-205 / MSc Automation and Robotics)

Winter term 2010/11

Prof. Dr. Günter Rudolph



Dates:    
Wednesday 10:15 - 12:00 am OH 14 / R. 304
First Lecture: Wednesday, 13-OCT-2010



Tutorials: Dr. Mohammad Abam, LS 2 (web pages)
Each Wednesday: group 1 at 12:00h, group 2 at 16:00h.


Instruction Language: English.
For a German version of this web page please click the 'Deutsch' button at the top right corner.

Examinations:
Program  TypeRequirements
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)


Description:
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.


Slides:
13.10.10 Artificial Neural Networks I  
20.10.10 Artificial Neural Networks II  
27.10.10 Artificial Neural Networks III  
03.11.10 Artificial Neural Networks IV  
10.11.10 Fuzzy Systems I  
17.11.10 Fuzzy Systems II  
24.11.10 Fuzzy Systems III  
01.12.10 Fuzzy Systems IV  
08.12.10 cancelled  
15.12.10 Fuzzy Systems V   (to be delivered)
05.01.11 Evolutionary Algorithms I  
12.01.11 Evolutionary Algorithms II (Part A)  
Evolutionary Algorithms II (Part B)  
19.01.11 Evolutionary Algorithms III  
26.01.11 Evolutionary Algorithms IV  
02.02.11 Swarm Intelligence  

Literature:
  • Raul Rojas: Neural Networks - A Systematic Introduction. Spinger 1996. Available online.
  • G.J. Klir and B. Yuan: Fuzzy Sets and Fuzzy Logic. Prentice Hall 1995.
Will be extended shortly.



 
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