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courses:ae4m33bia:labs [2013/10/04 13:02]
127.0.0.1 external edit
courses:ae4m33bia:labs [2015/03/08 20:59]
kubalik
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 ====== Seminars ====== ====== Seminars ======
  
-There will be two main types of seminars within the course 
-  * tutorials and exercises on the topics covered by lectures, 
-  * consultations to assignments - individual analysis of the solved problem and discussions on the progress made and further steps towards completing the task. 
- 
-There are also a midterm test and oral presentations of the EA assignments results planned on certain weeks. 
- 
-A specialized software is used for seminars related to artificial neural networks (JavaNNS, Matlab Neural Network Toolklit, and Mathematica NeuralNetworks). We use it to demonstrate various properties of studied ANN algorithms. ​ 
- 
-Students use a development platform of their choice to implement the programs for their EA assignment (typically C/C++, Java, Matlab or Mathematica). 
- 
-An expected average home preparation time is 5 hours per week. 
- 
-^ Seminar ^ Topic ^ Materials ^ 
-| 1.        | Introduction to optimization -- dynamic programming demonstration,​ local search algorithm demonstration ​ | {{:​courses:​ae4m33bia:​dp_examples.pdf|}},​ {{:​courses:​ae4m33bia:​local_optimizers.zip|}} |  
-| 2.        | Survey of successful applications of neural networks. | {{:​courses:​a4m33bia:​ann_examples-2013.pdf|}} ​ |  
-| 3.        | JavaNNS -- introduction to the system. ANN individual project assignment. | [[http://​www.mathworks.com/​products/​neural-network/​index.html|Matlab Neural Network Toolbox]], {{:​courses:​ae4m33bia:​javanns-win.zip|JavaNNS (Win)}}, {{:​courses:​a4m33bia:​javanns-mac.zip|JavaNNS (Mac)}}, {{:​courses:​a4m33bia:​snnsv4.2.manual.pdf|}},​ [[http://​www.cs.bham.ac.uk/​~jxb/​NN/​javaNNS/​javaNNSguide.html|Quick Guide to javaNNS]] |  
-| 4.        | Consultations on ANN project | [[http://​research.cs.tamu.edu/​prism/​lectures/​iss/​iss_l13.pdf|Three-way data splits]], [[http://​en.wikipedia.org/​wiki/​Confusion_matrix|Confusion matrix]], [[http://​en.wikipedia.org/​wiki/​Cross-validation_%28statistics%29#​K-fold_cross-validation|K-fold cross-validation]],​ {{:​courses:​a4m33bia:​somtoolbox2_mar_17_2005.zip|SOM toolbox}}, {{:​courses:​a4m33bia:​som_toolbox_manual.pdf|SOM toolbox manual}} ​ |  
-| 5.        | Self-organizing maps  | {{:​courses:​ae4m33bia:​somtoolbox2_mar_17_2005.zip|}},​ {{:​courses:​ae4m33bia:​som_toolbox_manual.pdf|}} ​ |  
-| 6.        | Consultations on ANN project. |  |  
-| 7.        | {{:​courses:​ae4m33bia:​applications_of_eas.pdf|Successful applications of evolutionary algorithms}},​ EA individual project assignment. ​ |  |  
-| 8.        | **Submission of reports on neural networks**, Consultations on EA project ​ |  |  
-| 9.        | Simple genetic algorithm demonstration. | {{:​courses:​ae4m33bia:​ea-matlab.zip|}},​ {{:​courses:​ae4m33bia:​individual_projects_ea_2012.pdf|}},​ {{:​courses:​ae4m33bia:​sga.zip|}} |  
-| 10.        | Consultations on EA project ​ |    |  
-| 11.        | Consultations on EA project ​ |  |  
-| 12.        | **Midterm test**. ​ | {{:​courses:​ae4m33bia:​sampletest.pdf|Sample test}} |  
-| 13.        | Consultations on EA project ​ |  |  
-| 14.        | **Submission of reports on evolutionary algorithms, EA program presentations**,​ Assignments |  |  
  
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courses/ae4m33bia/labs.txt ยท Last modified: 2015/03/08 21:02 by kubalik