Study Guide

Learning outcomes

The student is able to
- understand the connection between the analytical tools that can be used on real data in companies and the decision-making
- use analytical skills to work with the data, to understand it and to turn it into intelligence for particular decisional contexts

Teaching methods

Lecturing
Group Discussion
Individual Assignment
Project Task for a group of two.
A multiple choice question examination at the end of the study unit based on the concepts studied during the study unit.

Location and time

The location of lessons will be in Zoom.
All the sessions are conducting on Fridays from 9:00 to 11:30 am.
IF ANY CHANGES, STUDENTS WILL BE INFORMED IN ADVANCE

Learning materials and recommended literature

Sharda, R., Delen, D., Turban, E., Aronson, J. E., Liang, T. & King, D. 2018. Business intelligence, analytics, and data science: A managerial perspective. Fourth edition. Global edition. Harlow, England: Pearson.

Co-operation with working life and/or RDI

Company visitors will be giving lectures on business intelligence tools

Important dates

Time Status Teaching group Description
01.09.2023 09.00 - 11.30 External room : Zoom
08.09.2023 09.00 - 11.30 External room : Zoom
15.09.2023 09.00 - 11.30 External room : Zoom
22.09.2023 09.00 - 11.30 External room : Zoom
29.09.2023 09.00 - 11.30 External room : Zoom
06.10.2023 09.00 - 11.30 Project Evaluation
13.10.2023 09:00-16:00 Project Evaluation
30.10.2023 09.00 - 11.30 Exam in CANVAS
27.11.2023 09.00 - 11.30 Feedback

Forms of internationality

The tools you are learning out of the study unit are internationally accepted.

Students workload

Medium work load

Content and scheduling

Foundations of Business Intelligence
Data Models
Data Visualization
Tools of Data Analytics and Visualization
Focus on a specific Business Analytic Tool- Power BI
An external expert talk- hands-on experience with BI
A project and its report with presentation
Examination

Further information for students

Skill set you will build
- Proven approaches to business intelligence projects
- Identifying the uses and benefits of data models, pipelines, data visualizations, and dashboards
- Collaboration with team members, stakeholders, and users, as well as an understanding of their roles and priorities
- Planning processes for a successful project
- Networking to tap into the business intelligence community
- Demonstration of key knowledge and skills during a job search

Grading scale

H-5

Evaluation methods and criteria

Project Evaluation (40)
Examination (60)
Total -100

Evaluation criteria, fail (0)

If the marks are less than 40, the student will fail for the study unit

Evaluation criteria, satisfactory (1-2)

If the marks between 40-60, the grade will be 1 and 2

Evaluation criteria, good (3-4)

If the marks between 60-80, the grade will be 3 and 4

Evaluation criteria, excellent (5)

If the marks between 80-100, the grade will be 4 and 5