F07_CI_en < F07_Studium

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---+!! Course %FORMFIELD{"Bezeichnung"}%


%TOC{depth="3"}%
%STARTSECTION{"no_toc"}%
---
*Responsible:* Prof. Dr. Rainer Bartz

---++ Course
---+++ Meets requirements of following modules(MID)
   * in active programs
      * [[MaTIN2012_CI]]

---+++ Course Organization
<sticky>
  <table border="0">
    <tr valign="top">
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Version</th>
          <tr>
            <td>created</td>
            <td>2013-06-20</td>
          </tr>
          <tr>
            <td>VID</td>
            <td>2</td>
          </tr>
          <tr>
            <td>valid from</td>
            <td>WS 2012/13</td>
          </tr>
          <tr>
            <td>valid to</td>
            <td/>
          </tr>
        </table>
      </td>
      <td>         </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Course identifiers</th>
          <tr>
            <td>Long name</td>
            <td>%FORMFIELD{"Bezeichnung"}%</td>
          </tr>
          <tr>
            <td>CID</td>
            <td>F07_CI</td>
          </tr>
          <tr>
            <td>CEID (exam identifier)</td>
            <td/>
          </tr>
        </table>
      </td>
    </tr>
  </table>
</sticky><sticky>
  <table border="0">
    <tr valign="top">
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Contact hours per week (SWS)</th>
          <tr>
            <td>Lecture</td>
            <td>%FORMFIELD{"VorlesungSWS"}%</td>
          </tr>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzSWS"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbSWS"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumSWS"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektSWS"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarSWS"}%</td>
          </tr>
          <tr>
            <td>Tutorial(voluntary)</td>
            <td>%FORMFIELD{"TutoriumSWS"}%</td>
          </tr>
        </table>
      </td>
      <td>    </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Total contact hours</th>
          <tr>
            <td>Lecture</td>
            <td>%FORMFIELD{"VorlesungPZ"}%</td>
          </tr>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzPZ"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbPZ"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumPZ"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektPZ"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarPZ"}%</td>
          </tr>
          <tr>
            <td>Tutorial (voluntary)</td>
            <td>%FORMFIELD{"TutoriumPZ"}%</td>
          </tr>
        </table>
      </td>
      <td>    </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Max. capacity</th>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarTeilnehmer"}%</td>
          </tr>
        </table>
      </td>
    </tr>
  </table>
</sticky>

*Total effort (hours):* %FORMFIELD{"Gesamtaufwand"}%

---++++ Instruction language
   * German, 40%
   * English, 60%

---++++ Study Level
   * %FORMFIELD{"Niveau"}%
---++++ Prerequisites
   * vector functions, gradient

---++++ Textbooks, Recommended Reading
   * Domschke W., Drexl A.; Einführung in Operations Research; Springer
   * Zell, A.: Simulation Neuronaler Netze; Oldenbourg
   * Nauck, D. et al.: Neuronale Netze und Fuzzy-Systeme; Vieweg
   * Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing; Springer
   * Gerdes, I. et al.: Evolutionäre Algorithmen; Vieweg
   * Grosse et al.: Taschenbuch der praktischen Regelungstechnik, Fachbuchverlag Leipzig

---++++ Instructors
   * Prof. Dr. Rainer Bartz



---++++ Supporting Scientific Staff
   * tba

---++++ Transcipt Entry
Computational Intelligence

---+++ Assessment
<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Type</th>
    <tr>
      <td>wE</td>
      <td>written exam</td>
    </tr>
  </table>
</sticky>

<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Total effort [hours]</th>
    <tr>
      <td>wE</td>
      <td>10</td>
    </tr>
  </table>
</sticky>

*Frequency:* 2/year

-----
---++ Course components

%STARTSECTION{"Vorlesung / Übung"}%
---+++ <u>Lecture/Exercise</u>

---++++ Objectives 
---+++++ Contents
   * optimization strategies
      * classification of problems
      * gradient algorithms
      * simplex algorithm
      * multiobjective optimization and Pareto approach
   * artificial neural networks
      * artificial neurons
      * neural network structures
      * training algorithms
   * fuzzy logic
      * fuzzification
      * inference
      * defuzzification
   * evolutionary algorithms
      * genome representations
      * selection mechanisms
      * recombination operators
      * mutation operators

---+++++ Acquired Skills
   * students acquire fundamental knowledge on theory and applications of computational intelligence
   * they know about typical classes of optimization tasks and how to map a specific problem to those classes
   * they know the simplex algorithm and can transform problems into the standard form to find the solutions
   * they can classify artificial neural networks and determine their applicability for specific tasks
   * they can vary the parameters of neural networks and rate their impact on the results
   * they can classify training algorithms and understand the backpropagation algorithm
   * they know about the fuzzy logic approach, can apply it for specific problems and justify the resulting system behavior
   * they know how evolutionary algorithms work and can distinguish the variants
   * they can transform a problem specification into a representation appropriate for an evolutionary algorithm
   * they can rate selection strategies and define suitable algorithms

---+++++ Operational Competences
   * students can solve linear problems with the use of the simplex algorithm
   * they can apply artificial neural networks to solve problems of modeling and classification 
   * they can define fuzzy logic systems to solve imprecise and vague tasks
   * they can solve difficult problems heuristically using evolutionary algorithms


---++++ Additional Component Assessment 
<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Type</th>
    <tr>
      <td>fPS</td>
      <td>supervised/assisted problem solving</td>
    </tr>
  </table>
</sticky>

<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Contribution to course grade</th>
    <tr>
      <td>fPS</td>
      <td>not rated</td>
    </tr>
  </table>
</sticky>

*Frequency:* 1/year

%ENDSECTION{"Vorlesung / Übung"}%



%STARTSECTION{"Praktikum"}%
---+++ <u>Lab</u>

---++++ Objectives 
---+++++ Contents
   * application of artificial neural networks to a classification task
   * variation and multiobjective optimization of neural network parameters
   * fuzzy-based closed loop control of a system with two inputs

---+++++ Acquired Skills
   * students are familiar with tools supporting computational intelligence
   * they can vary system parameters, perform test series, and evaluate, present and discuss the results
   * they are able to understand, present, analyze and discuss scientific publications

---+++++ Operational Competences
   * students are able to solve problems in small teams
   * they can tackle optimization tasks in a structured and systematic way
   * they can rate the behavior of a system with regard to objectives and study and improve the behavior through parameter variations
   * they are able to cope with international scientific publications, understanding, presenting and discussing them in their context


---++++ Additional Component Assessment 
<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Type</th>
    <tr>
      <td>fSC</td>
      <td>2 lab experiments</td>
    </tr>
    <tr>
      <td>fLP</td>
      <td>supervised literature study and presentation</td>
    </tr>
  </table>
</sticky>

<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Contribution to course grade</th>
    <tr>
      <td>fSC</td>
      <td>prerequisite for course exam</td>
    </tr>
    <tr>
      <td>fLP</td>
      <td>prerequisite for course exam</td>
    </tr>
  </table>
</sticky>

*Frequency:* 1/year

%ENDSECTION{"Praktikum"}%




%ENDSECTION{"no_toc"}%
Topic-Revision: r3 - 11 Jan 2016, GeneratedContent
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