University of Oulu

Heuristinen shakkilaudantunnistusjärjestelmä

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Author: Heikkilä, Atte1; Leinonen, Niko1; Savusalo, Markus1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Computer Science and Engineering, Computer Science
Format: ebook
Version: published version
Access: restricted
  Theses with restricted access are only available for reading on the e-thesis workstations.
Pages: 43
Persistent link: http://urn.fi/URN:NBN:fi:oulu-201906122531
Language: Finnish
Published: Oulu : A. Heikkilä; N. Leinonen; M. Savusalo, 2019
Publish Date: 2019-06-17
Thesis type: Bachelor's thesis
Thesis subtype: Kurssisuoritus
Note: Kandidaatintyö. Tekijät: Atte Heikkilä ja Markus Savusalo. Kurssisuoritus tekijälle Niko Leinonen.
Bachelor's thesis by Atte Heikkilä and Markus Savusalo. Completion of the course accredited to Niko Leinonen.
Subjects:
Copyright information: © Atte Heikkilä; Niko Leinonen; Markus Savusalo, 2019. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.