Extension studies

Teaching language


Type of course


Cycle/level of course


Recommended year of study


Total number of ECTS

5 cr

Competency aims

Work on a project foster the scientific way of
thinking and a deeper understanding of research
The goal of the course is to individually improve
theoretical skills, and then finish a project
suitable for a chosen field of knowledge.
The students work on their writing and can produce
reports over their conducted and planned tasks.

Learning outcomes

Students can expand and prove their skills within a
topic/subject. (Knowledge)
Students can work independently and produce a report
of their work. (Skill)
Students understand the value of their own and
others time/resources (Attitude).

Course contents

The project scope and extent, and the associated
theoretical and practical skills that are needed are
individually agreed upon for each student.
Projects are planned, conducted and reported
according to the individual study plan or in
accordance to the teachers instructions.

Prerequisites and co-requisites

It is recommended to take the course on the 2nd or
the 3rd year.

Additional information

Ongoing research projects can be found on
arcada.fi, techlabs.fi (coming soon) and by
enrolling to this course you get access to the
itslearning page where you will find more info on
ongoing projects.

We have active projects within:
Robotics (Humanoids and human robot interaction)
AI (SLAM, RNN, Data engineering)
Computer Vision (Nvidia Jetson, Goniometer)
Natural Language Processing (Swe-Fin Speech to
VR Projekt (Varjo, Valve Index, Full body
IoT and sensors as well as Blockchain-tech

Study activities

  • Individual- and group instruction - 5 hours
  • Project- and production work/artistic activities - 50 hours
  • Individual studies - 80 hours


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

Mode of Delivery

Multiform education

Assessment methods

Essays, reports, productions and portfolio

Assessment requirements

The course is graded as passed/failed.
To pass the course the student should pass the
following examinations:
A written project plan,
project documentation and/or final product, and
a final report in accordance to the teachers


  • Karlsson Jonny
  • Scherbakov-Parland Andrej
  • Welander Fredrik
  • Westerlund Magnus


Biström Dennis

Group size

No limit

Assignments valid until

Until further notice

Assessment methods

Date will be announced later - Reports and productions

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