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Günter Rudolph: Lecture Introduction to Computational Intelligence (WS 2021/22)

Introduction to Computational Intelligence

(Elective Module INF-BSc-305 / AR-MSc-306)

Winter term 2021/22

Prof. Dr. Günter Rudolph



Dates:    
Wednesday 10:15 - 11:45 am in lecture hall E23 (OH14)
First Lecture: Wednesday, 13-Oct-2021

Link to Moodle


News:
  • Published 24-May-2022, 05:30 pm:
    The post exam review will be on Wednesday, 8th June, 4 pm, OH 12, lecture hall E.003.
    Important: You have to register via Moodle to attend the post exam review. For each time slot (30 min.) we accept 20 students. If one slot is full, we will open the next one. Don't worry: every participant of the exam will have the opportunity to register. Registration will be possible shortly (watch this web page!). The deadline for registration is Friday, 3rd June, 6 pm CET.
  • Published 20-May-2022, 12:30 am: The results of the exam are published via BOSS for all study programs, except for the students who registered by email (they may query their grade via email). Moreover, for few participants BOSS has refused to store their grade. I have notified the examination offices about this issue. They will solve the problem on Friday.
    FYI: Grade Statistics -- Grading System.
  • Published 11-May-2022, 03:40 pm: updated 16-May-2022, 11:00 am
    Due to Covid-19 events and general staff shortage the publication of the results regarding the 2nd exam is delayed. The publication via BOSS is planned for Thursday, 19-May-2022. Sorry for the additional delay.
  • Published 08-Mar-2022, 03:45 pm: updated 14-Mar-2022, 5:45 pm
    The 2nd edition of the written exam on Friday, 01-Apr-2022, 5 pm will take place in lecture hall Audimax in the tower of the mathematics building for all study programs.
    Important: You cannot participate in the exam without due registration. The registration deadline is 14 days prior to the exam.
    The registration to the exam must be made via BOSS for the study programs BSc (Angew.) Informatik, MSc Automation & Robotics, MSc Data Science, and MSc Statistics. All other study programs must register (exam date, name, matriculation number, study program) by an email sent to Prof. Rudolph.
  • Published 28-Feb-2022, 10:00 pm:
    The results of the exam are published via BOSS for all study programs, except the exchange students who will receive their grade via email. Registration for the post exam review via Moodle is now open.
    FYI: Grade Statistics -- Grading System.
  • Published 23-Feb-2022, 10:00 pm:
    The results of the exam will be published via BOSS on Tuesday, 1st March 2022, at latest. The post exam review will be on Monday, 7th March, 2 pm, OH 14, lecture hall E 23.
    Important: You have to register via Moodle to attend the post exam review. For each time slot (30 min.) we accept 20 students. If one slot is full, we will open the next one. Don't worry: every participant of the exam will have the opportunity to register. Registration will be possible as soon the results of the exam are published. The deadline for registration is Friday, 4th March, 6 pm.
  • Published 03-Feb-2022, 02:00 pm:
    The written exam on Saturday, 12-Feb-2022, 1 pm, will take place in building EF 50 (Emil-Figge-Strasse 50) in the following lecture halls:

    study programlecture hall
    Angewandte Informatik EF50 / HS 1
    Automation & Robotics EF50 / HS 1
    Data Sciene EF50 / HS 1
    Statistics EF50 / HS 1
    Informatik EF50 / HS 2
    Exchange Students (Erasmus etc.) EF50 / HS 2

    Please come early. Plan enough time for the admission control.
    After entering the building, please wait in the foyer until we invite you to the lecture halls.
    The exam will begin at 1pm. The duration is 90 minutes. You must wear a medical mask all the time!
    Have student ID and photo ID (passport, ID card, Personalausweis) ready. Without ID you must not take the exam!
    You only need a pen with blue or black ink. No lead pencils!
  • Published 27-Jan-2022, 02:00 pm:
    If your study program is Angewandte Informatik, then this module is probably to be accredited for the module Aktuelle Themen der Dienstleistungsinformatik. In this case, the exam number (in german: Prüfungsnummer) is 89593.
  • Published 27-Jan-2022, 01:00 pm:
    If your study program is Automation and Robotics or Data Science and you cannot register via BOSS, then please first contact the person in the examination office that is in charge of your study program: A+R team 4 (Maja Schäfer); DS team 2 (Thomas Bergermann). If the problem remains, then contact Prof. Rudolph by email (and add your study program as well as matriculation number).
  • Published 26-Jan-2022, 04:00 pm:
    If you study Informatik or Angewandte Informatik and BOSS refuses your registration to the exam (which may happen occasionally), then you may register in the old-fashioned way:
    download and fill out the form and send it to team 1 (Ms Schiller) of the examination office by email!
    If you study something else and you have problems with the registration ... please let me know!
  • Published 18-Jan-2022, 11:30 am:
    The registration to the exam must be made via BOSS for the study programs BSc (Angew.) Informatik, MSc Automation & Robotics, and MSc Data Science. All other study programs must register (exam date, name, matriculation number, study program) by an email sent to Prof. Rudolph. Registration should be open end of this week at latest.
    Important: You cannot participate in the exam without due registration. The registration deadline is 14 days prior to the exam. As usual, you may de-register up to one day prior to the exam.
    Notice: Currently, registration is possible without formal eligibility (Studienleistung). But we will scrutinize if you are approved or not. In the end, we'll get you! ;-)
  • Published 06-Jan-2022, 1 am:
    The written exams will take place on
    - Saturday,12-Feb-2022,1:00pm - 2:30pm.
    - Friday, 01-Apr-2022,5:00pm - 6:30pm.
    Currently, the exams are planned to be run in presence (on-site / in classroom).
    Information about registration will follow shortly.
  • Published 16-Dec-2021, 2 pm:
    The lecture on Wednesday, 22-Dec-2021, will be presented online only.
  • Published 13-Oct-2021, 9 am:
    The zoom link to the online stream of the lecture is provided in the Moodle of the tutorial.
  • Published 10-Oct-2021, 1 pm:
    Hybrid setting due to current state of Corona pandemic!

    Lecture:
    1. in lecture hall
        - with medical mask,
        - 3G-rule: admission only if vaccinated, recovered or tested
    2. remote / online
        - via Zoom (link published in Moodle in due time),
        - streaming from lecture hall
    Tutorial:
    1. in classroom (→ registration required, details in 1st lecture)
        - with medical mask,
        - 3G-rule: admission only if vaccinated, recovered or tested
    2. remote / online
        - via Zoom (purely digital: no streaming from classroom)

  • Published 27-Sep-2021, 9 pm:
    In accordance with the requirements of the state of North Rhine-Westphalia, teaching is to take place predominantly in the presence of the students. Therefore, the course will be held in a lecture hall (see above). For those students who seriously do not have the possibility to be present on site, we will take efforts to stream the lecture from the lecture hall.
  • Published 31-Aug-2021, 4 pm:
    Due to Corona pandemic it is currently unclear if the lecture will be presented in online mode or in classroom. In any case, you have to register for the lecture to get us an idea about the number of attendees. Registration can be done in Moodle via the web pages of the tutorial (see link above). You will then receive further information via the email address you have specified there.
    Attention: The information is sent via your unimail address only! If you do not have a unimail address (yet), register as a guest in Moodle and notify the instructor of the tutorial.


Tutorial: Marius Bommert (M.Sc.), Florian Wellner, LS 11

Instruction Language: English.


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, RBF nets, Hopfield nets, convolutional neural nets (CNN), recurrent nets.
Foundations of FS: Fuzzy sets, fuzzy numbers, fuzzy logic, fuzzy reasoning, fuzzy control, fuzzy clustering.
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:
Introduction and Organizational Issues  
13.10.2021 Fuzzy Systems I  
20.10.2021 Fuzzy Systems II  
27.10.2021 Fuzzy Systems III  
03.11.2021 Fuzzy Systems IV  
10.11.2021 Fuzzy Systems V  
17.11.2021 Evolutionary Algorithms I  
24.11.2021 Evolutionary Algorithms II  
01.12.2021 Evolutionary Algorithms III  
08.12.2021 Evolutionary Algorithms IV  
15.12.2021 Neural Networks I  
22.12.2021 Neural Networks II  
12.01.2022 Neural Networks III  
19.01.2022 Neural Networks IV  
26.01.2022 Neural Networks V  
02.02.2022 Swarm Intelligence  

Literature:
  • A.E. Eiben and J.E. Smith: Introduction to Evolutionary Algorithms. Corrected 2nd printing. Springer 2007.
  • Raul Rojas: Neural Networks - A Systematic Introduction. Springer 1996. Available online.
  • Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep Learning. MIT Press 2017.
  • G.J. Klir und B. Yuan: Fuzzy Sets and Fuzzy Logic. Prentice Hall 1995.
  • F. Höppner, F. Klawonn, R. Kruse und T. Runkler: Fuzzy Cluster Analysis. Wiley 1999.
  • Amit Konar: Computational Intelligence: Principles, Techniques and Applications. Springer 2005.



 
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