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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	dp_examples.pdf, local_optimizers.zip
2.	Survey of successful applications of neural networks.	ann_examples-2013.pdf
3.	JavaNNS – introduction to the system. ANN individual project assignment.	Matlab Neural Network Toolbox, JavaNNS (Win), JavaNNS (Mac), snnsv4.2.manual.pdf, Quick Guide to javaNNS
4.	Consultations on ANN project	Three-way data splits, Confusion matrix, K-fold cross-validation, SOM toolbox, SOM toolbox manual
5.	Self-organizing maps	somtoolbox2_mar_17_2005.zip, som_toolbox_manual.pdf
6.	Consultations on ANN project.
7.	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.	ea-matlab.zip, individual_projects_ea_2012.pdf, sga.zip
10.	Consultations on EA project
11.	Consultations on EA project
12.	Midterm test.	Sample test
13.	Consultations on EA project
14.	Submission of reports on evolutionary algorithms, EA program presentations, Assignments

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