Course: UoIceland Teaching

Project Information

Discipline
Computer Science (401) 
Subdiscipline
30.08 Mathematics and Computer Science 
Orientation
Education 
Abstract

The course is part of teaching courses of the University of Iceland. It aims to provide practical insights into some data mining & machine learning approaches/algorithms (e.g. Apache Mahout [1]) in combination with (batch) execution frameworks (e.g. HPC, Apache Hadoop/HTC [2], Twister [3], etc.). I could offer practical insights into some data mining&machine learning approaches/algorithms (e.g. Apache Mahout [1]) in combination with (batch) execution frameworks (e.g. HPC, Apache Hadoop/HTC [2], Twister [3], etc.).


 

Intellectual Merit

In order to understand the theoretical approaches of statistical data mining & machine learning the students require to learn hands-on experience with real data and real frameworks.

Broader Impacts

Findings of student projects on the resources will be brought into the Research Data Alliance (RDA) Big Data Analytics Group that is chaired by this project coordinator. FutureGrid will be references and cited in each of the findings we present there.

Project Contact

Project Lead
Morris Riedel (mriedel) 
Project Manager
Morris Riedel (mriedel) 
Project Members
Thomas Philip Runarsson, Jeff Hair, Camille Bernard, Leo Rabel, Hannes Eggertsson, Atli Ómarsson, Alessandro Cremona, Bjorn Thorgilsson, Maximilian Voit, Sigurdur Hannesson, Alexandre Legrain, Dren Kajmakci, Gabriele Cavallaro, Ingvi Stígsson, Tryggvi Thorsteinsson, Johannes Agustarson, Matthías Ásgeirsson, Kristmundur Ólafsson, Jon Oli Olafsson, Stephen Onyango, Einar Indridason, Oscar Cideos, Magnus Gislason, Tom Schiller, Stefan Thorvardarson, Bodvar Sveinsson, Sindri Bjarnason, Björn Hagemeier, Philipp Glock, Steinunn Groa Siguroardottir, Inga Rún Helgadóttir  

Resource Requirements

Hardware Systems
  • alamo (Dell optiplex at TACC)
  • sierra (IBM iDataPlex at SDSC)
  • bravo (large memory machine at IU)
  • delta (GPU Cloud)
 
Use of FutureGrid

The Project coordinator is an adjunct associated professor of the University of Iceland. Master and PhD Students should get Hands-on experience with Apache Hadoop and Mahout, Twister, etc. and other data mining/machine learning approaches in combinoation with (Batch) execution environments.

Scale of Use

For a couple of weeks for a class (~20 students)

Project Timeline

Submitted
08/09/2013 - 05:36 
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