1. semester

Institut for Datalogi › Studienævn for Datalogi › Computer Science (IT - International Track)

2. semester

Institut for Datalogi › Studienævn for Datalogi › Computer Science (IT - International Track)

3. semester

Institut for Datalogi › Studienævn for Datalogi › Computer Science (IT - International Track)

4. semester

Institut for Datalogi › Studienævn for Datalogi › Computer Science (IT - International Track)

  1. Computer Science (IT - International Track)
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    AI med Skjold for Hybride Systemer

    Asger Horn Brorholt

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2022

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  3. Deep Clustering til Metagenomic Binning

    Trong Dai Ha, Jitka Polásková, Jan Niklas Fichte

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2022

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  4. JoMo - the Joy of Missing out: a User Study of Smartphone Usage Habits

    Georgiana Frunza, Rajmund Dominik Staniek, Sangey Dorje Leon Lama

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2022

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  5. Probabilistic Forecasting of Global Horizontal Irradiance Using A Deep Attention Based Model

    Bogi Berg, Jonathan Fjord Jønler, Frederik Brunø Lottrup

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2022

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  6. Geometric Message Passing to utilize local and non-local information in3D Graph Networks

    Jákup Odssonur Svöðstein

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2021

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  7. Informing the Realization of Benefits through the Development of New Management Information Systems

    Ioana-Madalina Ganescu

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2021

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  8. Recurrent Recognition Networks for Approximation of BN2O Inference Dedicated to the Medical IntMed System

    Jonas Tvede Henriksen

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2021

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  9. The Impact of Working From Home on the Success of Scrum Projects: A Multi-Method Study

    Adrian-Alexandru Cucolas

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2021

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  10. Anvendelse af designprincipper i udviklingen af et bæredygtigt informationssystem

    Emil Vang Gravesen, Rune Ansbjerg Fredshavn, Søren Bo Andersen

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2020

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  11. KubeSharper: An SDK for Building Kubernetes Operators in C#

    Valér Orlovsky

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2020

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  12. Predicting Stochastic Demand using a Multi-Task Recurrent Mixture Density Network

    Ivan Iliev

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2020

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  13. Big Data Cloud Computing Infrastructure Framework: A framework for developing reproducible cloud computing infrastructures suitable for big data processing jobs

    Charles Robert McCall, Cristian Viorel Buda

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2019

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  14. JECDAR 0.2 - Model checking refinement relations for Timed I/O Automata

    Andrej Kiviriga, Napalys Klicius, Cristina Ioana Simionescu

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2019

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  15. Reduction and Optimization of Food Waste in Supermarkets using B2B and Technology

    Marc Byrgesen

    Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2017

    Studenteropgave: Speciale (inkl. HD afgangsprojekt)