BD-2-006 (0) - Analytical Service Development

• Big data analytics 2016 - Big data analytics
• Big data analytics 2017 - Big data analytics
• Big data analytics 2018 - Big data analytics
• Big data analytics 2019 - Big data analytics
• Big data analytics 2020 - Big data analytics
• Big data analytics 2021 - Big data analytics - specialised professional studies
• Big data analytics 2022 - Big data analytics - specialised professional studies
• Big data analytics 2023 - Big data analytics - specialised professional studies

4 (2023-03-20 till 2023-07-31)

Engelska

Obligatorisk

Högre yrkeshögskoleexamen

1

5 sp

The aim is to make student capable of finding AI
opportunities in different domains.

The student should be able to ask managerial and
specific questions that can be answered through
the use of AI methods based on machine learning.
Student can implement a project of its own in the
field of big data analytics.

The students develop an understanding for
planning the analytical process; data-related
requirement handling, domain knowledge/modelling
expertise and verification of results. Each student
completes an industry cap-stone project as part of
the course.

• Föreläsningar - 20 timmar
• Individuell handledning och grupphandledning - 10 timmar
• Projekt- och produktionsarbete/konstnärlig verksamhet - 80 timmar
• Nätbaserade - 25 timmar

• Kursens totala antal arbetstimmar: 135 timmar
• Varav självstyrda studieformer: 135 timmar
• Varav schemalagda studier: 0 timmar

Flerformsundervisning (delvis nätundervisning handledd eller självstudier)

Essä, rapporter, produktioner och portfolio

To pass the course the student must participate
and do the assignments given during the course.

• Björk Kaj-Mikael
• Espinosa Leal Leonardo
• Scherbakov-Parland Andrej
• Westerlund Magnus

Westerlund Magnus

https://arcada.itslearning.com/ Extern länk

Ingen begränsning (29 studenter anmälda)

12 månader efter kursens slutdatum

2023-03-06 till 2023-04-02

Datum meddelas senare - Rapporter och produktioner