The course is included in these curricula and study modules
The course takes place in period
- 1 (2022-08-01 to 2022-10-23)
- 2 (2022-10-24 to 2022-12-31)
- 3 (2023-01-01 to 2023-03-19)
- 4 (2023-03-20 to 2023-07-31)
Level/category
Teaching language
Swedish
Type of course
Optional
Cycle/level of course
First
Recommended year of study
2
Total number of ECTS
5 cr
Competency aims
Work on a project foster the scientific way of thinking and a deeper understanding of research methodology.
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 text)
VR Projekt (Varjo, Valve Index, Full body tracking)
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
Workload
- 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 instructions.
Teacher
- Karlsson Jonny
- Scherbakov-Parland Andrej
- Welander Fredrik
- Westerlund Magnus
Examiner
Biström Dennis
Home page of the course
Group size
No limit (5 students enrolled)
Assignments valid until
Until further notice
Course enrolment period
2022-08-10 to 2022-09-06
Assessment methods
Date will be announced later - Reports and productions