Kursen ingår i dessa läroplaner och studiehelheter
- Big data analytics 2018 - Research seminar and thesis
- Big data analytics 2019 - Research seminar and thesis
- Big data analytics 2020 - Research seminar and thesis
- Big data analytics 2021 - Research seminar and thesis - specialised research studies
- Big data analytics 2022 - Research seminar and thesis - specialised research studies
- Big data analytics 2023 - Research seminar and thesis - specialised research studies
Kursens undervisningsperiod
- 1 (2023-08-01 till 2023-10-22)
- 2 (2023-10-23 till 2023-12-31)
- 3 (2024-01-01 till 2024-03-17)
- 4 (2024-03-18 till 2024-07-31)
Nivå/kategori
Undervisningsspråk
Engelska
Kurstyp
Obligatorisk
Cykel/nivå
Högre yrkeshögskoleexamen
Rekommenderat studieår
1
Omfattning
30 sp
Kompetensmål
Upon completion of this module you can define,
choose, argue for and adapt specialised concepts,
methods and data related to your specialised
knowledge about your own area.
You can adapt and use them as the basis for your
own individual thinking and/or research. You can
independently solve demanding problems in a
creative way within research and/or innovative
operations and thereby develop new knowledge and
ways of working. You can apply and integrate
knowledge from different areas. You can argue for
and follow ethical principles in research.
Läranderesultat
At the end of the course the student is expected
to be able to produce, develop and present as a
thesis a research idea using machine learning and
big data methods.
Innehåll
The course is composed of 8 sessions where students
present, in an evolutive way, from the initial idea
until the final thesis.
Förkunskaper
None
Studieaktiviteter
- Föreläsningar - 40 timmar
- Självstudier - 770 timmar
Arbetsbelastning
- Kursens totala antal arbetstimmar: 810 timmar
- Varav självstyrda studieformer: 810 timmar
- Varav schemalagda studier: 0 timmar
Undervisningsform
Närundervisning
Lärare
- Espinosa Leal Leonardo
- Scherbakov-Parland Andrej
- Småros Anna
- Westerlund Magnus
Examinator
Espinosa Leal Leonardo
Kursens hemsida
Antal kursplatser
Ingen begränsning (28 studenter anmälda)
Delprestation i kraft till
12 månader efter kursens slutdatum
Kursanmälningstid
2023-08-10 till 2023-09-06
Datum | Tid | Rum | Titel | Beskrivning | Organisatör |
---|---|---|---|---|---|
2023-08-29 | 13:00 - 18:00 | D4109 | Research Seminar and Thesis | Hybrid Zoom link: https://bit.ly/RS2023-24 | Dayama Niraj Espinosa Leal Leonardo Scherbakov-Parland Andrej Westerlund Magnus |
2023-09-26 | 13:00 - 18:00 | D4109 | Research Seminar and Thesis | Hybrid Zoom link: https://bit.ly/RS2023-24 | Dayama Niraj Espinosa Leal Leonardo Scherbakov-Parland Andrej Westerlund Magnus |
2023-10-24 | 14:00 - 18:00 | D4109 | Research Seminar and Thesis | Hybrid Zoom link: https://bit.ly/RS2023-24 | Dayama Niraj Espinosa Leal Leonardo Scherbakov-Parland Andrej Westerlund Magnus |
2023-11-21 | 13:00 - 18:00 | D4109 | Research Seminar and Thesis | Hybrid Zoom link: https://bit.ly/RS2023-24 | Dayama Niraj Espinosa Leal Leonardo Scherbakov-Parland Andrej Westerlund Magnus |
2023-12-19 | 13:00 - 18:00 | D4109 | Research Seminar and Thesis | Hybrid Zoom link: https://bit.ly/RS2023-24 | Espinosa Leal Leonardo Scherbakov-Parland Andrej Waller Matias Westerlund Magnus |