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

4 (2022-03-14 to 2022-07-31)

English

Compulsory

Second

1

5 cr

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.

• Lectures - 20 hours
• Individual- and group instruction - 10 hours
• Project- and production work/artistic activities - 80 hours
• Internet-based studies - 25 hours

• Total workload of the course: 135 hours
• Of which autonomous studies: 135 hours
• Of which scheduled studies: 0 hours

Multiform education

Essays, reports, productions and portfolio

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

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

Westerlund Magnus

https://arcada.itslearning.com/ External link

No limit (46 students enrolled)

12 months after course has ended

2022-02-28 to 2022-03-27

Date will be announced later - Reports and productions