BD-2-007 (0) - Research Seminar and Thesis

• Big data analytics 2018 - Research seminar and thesis
• Big data analytics 2019 - Research seminar and thesis
• Big data analytics 2020 - Research seminar and thesis
• Big data analytics 2021 - Research seminar and thesis - specialised research studies
• Big data analytics 2022 - Research seminar and thesis - specialised research studies
• Big data analytics 2023 - Research seminar and thesis - specialised research studies

• 1 (2023-08-01 to 2023-10-22)
• 2 (2023-10-23 to 2023-12-31)
• 3 (2024-01-01 to 2024-03-17)
• 4 (2024-03-18 to 2024-07-31)

English

Compulsory

Second

1

30 cr

Upon completion of this module you can define,
choose, argue for and adapt specialised concepts,
methods and data related to your specialised
knowledge about your own area.

You can adapt and use them as the basis for your
own individual thinking and/or research. You can
independently solve demanding problems in a
creative way within research and/or innovative
operations and thereby develop new knowledge and
ways of working. You can apply and integrate
knowledge from different areas. You can argue for
and follow ethical principles in research.

At the end of the course the student is expected
to be able to produce, develop and present as a
thesis a research idea using machine learning and
big data methods.

The course is composed of 8 sessions where students
present, in an evolutive way, from the initial idea
until the final thesis.

None

• Lectures - 40 hours
• Individual studies - 770 hours

• Total workload of the course: 810 hours
• Of which autonomous studies: 810 hours
• Of which scheduled studies: 0 hours

Participation in tuition

• Espinosa Leal Leonardo
• Scherbakov-Parland Andrej
• Småros Anna
• Westerlund Magnus

Espinosa Leal Leonardo

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

No limit (28 students enrolled)

12 months after course has ended

2023-08-10 to 2023-09-06