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The Role of Student Projects in Teaching Machine Learning and High Performance Computing

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1129))

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Abstract

We describe an approach to teaching Machine Learning and High-Performance Computing classes for Master students at Ural Federal University. In addition to the theoretical classes, the students participate in the projects in collaboration with the partner companies and research laboratories of the university and institutes of the Russian Academy of Sciences. The partners provide not only project topics, but also the experienced mentors to assist the students in project work. We discuss the structure of the Project Workshop class that was designed to include the project-based learning into the curriculum. As a result, during the Master studies, the students not only learn the theoretical basis but also gain experience solving real-world problems, which has a positive effect on employment.

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Author information

Authors and Affiliations

  1. Ural Federal University, Ekaterinburg, Russia

    Andrey Sozykin & Anton Koshelev

  2. Krasovskii Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Andrey Sozykin

  3. University of Mannheim, Mannheim, Germany

    Dmitry Ustalov

Authors
  1. Andrey Sozykin
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  2. Anton Koshelev
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  3. Dmitry Ustalov
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Corresponding author

Correspondence to Andrey Sozykin .

Editor information

Editors and Affiliations

  1. Research Computing Center, Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center, Moscow State University, Moscow, Russia

    Sergey Sobolev

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Sozykin, A., Koshelev, A., Ustalov, D. (2019). The Role of Student Projects in Teaching Machine Learning and High Performance Computing. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2019. Communications in Computer and Information Science, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-36592-9_53

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  • DOI: https://doi.org/10.1007/978-3-030-36592-9_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36591-2

  • Online ISBN: 978-3-030-36592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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