BD-2-002 (0) - Big Data Analytics

• 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

• 3 (2020-01-01 to 2020-03-22)
• 4 (2020-03-23 to 2020-07-31)

English

Compulsory

First

5 cr

The aim of the course is...

At the end of the course the student is expected to
be able to...

The students get an overview of machine learning
and how to utilize big data. The areas of
descriptive and predictive modelling are
introduced for small data, and the students are
then given an explanation for how similar models
can be modified to work with big data. The
students are introduced to the analytical
process; data-related requirement handling,
domain knowledge, modelling and verification of
results.

Multiform education

To pass the course the student should pass the
following examinations:
Examination 1 ....
Examination 2.... etc.
(examinations include written examination tests,
demonstrations and presentations, reports and
produktions, essays, and also presence at
specified occasions)

The examinations contribute to the final grade as
follows: ...

• Akusok Anton
• Espinosa Leal Leonardo
• Björk Kaj-Mikael

Westerlund Magnus

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

No limit (47 students enrolled)

12 months after course has ended

2019-12-24 to 2020-01-20