Kursen ingår i dessa läroplaner och studiehelheter
- International business management - a nordic focus 2016 - Financial technology (fintech)
- International business management 2017 - Financial technology (fintech)
- International business management 2019 - Financial technology (fintech)
- International business management 2020 (part-time) - Financial technology (fintech)
- International business management 2020 (full-time) - Financial technology (fintech)
- International business management 2021 (full-time) - Business development, digitalisation and fintech - specialised professional studies
- International business management 2021 (part-time) - Business development, digitalisation and fintech - specialised professional studies
- International business management 2022 (part-time) - Business development, digitalisation and fintech - specialised professional studies
- International business management 2022 (full-time) - Business development, digitalisation and fintech - specialised professional studies
- International business management 2023 (full-time) - Business development, digitalisation and fintech - specialised professional studies
- International business management 2023 (part-time) - Business development, digitalisation and fintech - specialised professional studies
Kursens undervisningsperiod
3 (2023-01-01 till 2023-03-19)
Nivå/kategori
Undervisningsspråk
Engelska
Kurstyp
Obligatorisk
Cykel/nivå
Högre yrkeshögskoleexamen
Rekommenderat studieår
1
Omfattning
5 sp
Kompetensmål
In this study unit the focus will for you to build
the following competences:
- Competence in digital transformation of the
business landscape
- Competence in the foundations for AI & machine
learning, analytics
Läranderesultat
After completing the study unit, you:
- can discuss new business models and business
activities that emerge through changes in
legislation and the introduction of new
technologies.
- understand the opportunities created by AI and
machine learning
- understand the limitations of AI and machine
learning
- understand how AI and machine learning can be
utilized to develop existing processes and build
new business models
Förkunskaper
A bachelor degree and at least two years work
experience gained after completing the higher
education degree.
Kursen ersätter följande kurser
Fintech and Data Analytics
Studieaktiviteter
- Föreläsningar - 25 timmar
- Självstudier - 110 timmar
Arbetsbelastning
- Kursens totala antal arbetstimmar: 135 timmar
- Varav självstyrda studieformer: 135 timmar
- Varav schemalagda studier: 0 timmar
Undervisningsform
Närundervisning
Examinationsformer
Essä, rapporter, produktioner och portfolio
Lärare
- Nyman Henrik
- Olmedilla Fernández María
Examinator
Nyman Henrik
Kursens hemsida
Antal kursplatser
Ingen begränsning (22 studenter anmälda)
Delprestation i kraft till
12 månader efter kursens slutdatum
Kursanmälningstid
2022-12-10 till 2023-01-12
Examinationsformer
Datum meddelas senare - Rapporter och produktioner
Datum | Tid | Rum | Titel | Beskrivning | Organisatör |
---|---|---|---|---|---|
2023-04-11 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-04-12 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-04-13 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-04-14 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-05-02 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-05-03 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-05-04 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María | |
2023-05-05 | 16:30 - 20:00 | B522 | Artificial Intelligence | Olmedilla Fernández María |