IA-2-021

• Information technology 2014 - Machine learning and decision support system development
• Information technology 2015 - Machine learning and decision support system development
• Information technology 2016 - Machine learning and decision support system development
• Information technology 2017 - Machine learning and decision support system development
• Information technology 2018 - Service oriented architectures and analythical methods
• Information technology 2019 - Service oriented architectures and analythical methods

2 (2019-10-28 to 2019-12-31)

Swedish

Compulsory

First

3

5 cr

With the explosion of "Big Data" problems,
analytics has become a particularly intriguing
field in many scientific areas as well as in
marketing, finance and other business
disciplines. People with analytical skills are in
high demand. Or, one could even claim that
everyone participating in modern work settings,
need to understand what data (and analytics) can
do.

In this course, we will introduce the students
into the world of analytics and business
intelligence.
Concentrating on the application of
analytics and decision making in practice.
The project task will be to create a business
intelligence system from scratch (in theory).

After completing this course the students should
be able to

• understand the role of data analytics in
  supporting decisions

• understand how businesses today are utilizing
  analytics

• understand the limitations and benefits of
  analytics and business intelligence

• have a basic understanding of the available
  tools today. I.e. what is possible today and what
  is only fantasies.

The course consists of lectures circling around
the topics "analytics and business intelligence
in todays organisations" and "how analytics can
support decision making"

During the course, the students are encouraged to
complete several self study tasks. Basically by
reading and viewing material and reflecting on
them.

As the main course assignment, the students are
asked to design their own business intelligence
system from scratch. In theory and with unlimited
resources.

Entry level, no previous knowledge needed.

• Lectures - 10 hours
• Excursions and demonstrations - 2 hours
• Individual- and group instruction - 10 hours
• Project- and production work/artistic activities - 60 hours
• Individual studies - 43 hours
• Internet-based studies - 10 hours

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

Participation in tuition

Essays, reports, productions and portfolio

To pass the course the student should, during the
project work, show that the student understands
why and how analytics and business intelligence
is used in organizations of today.

For higher grades, there is an need to show
increased awareness about how these systems are
technically and theoretically designed and
implemented.

• Karlsson Jonny
• Wikström Robin

Karlsson Jonny

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

No limit (30 students enrolled)

12 months after course has ended

2019-10-14 to 2019-11-10

Date will be announced later - Reports and productions