The course is included in these curricula and study modules
- 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 - Machine learning and decision support system development
The course takes place in period
3 (2019-01-01 to 2019-03-17)
Level/category
Teaching language
Swedish
Type of course
Compulsory
Cycle/level of course
First
Recommended year of study
3
Total number of ECTS
5 cr
Competency aims
The aim of the course is that the student shall
learn the basics of image processing and to develop
computer vision applications with Python and
OpenCV.
Learning outcomes
At the end of the course the student is expected to
be familiar with the most basic image processing
algorithms and to be able to develop computer
vision applications with Python and OpenCV.
Course contents
- image processing
- The OpenCV library
- Edge detection
- Object detection and recognition
Prerequisites and co-requisites
Data Processing and Data Science
Study activities
- Lectures - 40 hours
- Project- and production work/artistic activities - 95 hours
Workload
- Total workload of the course: 135 hours
- Of which autonomous studies: 135 hours
- Of which scheduled studies: 0 hours
Mode of Delivery
Participation in tuition
Assessment methods
Assignments + programming project
Assessment requirements
The course grade is assessed based on assignments in image processing (weight 25%) and a course project (weight 75%)
Teacher
Karlsson Jonny
Examiner
Karlsson Jonny
Home page of the course
Group size
No limit (29 students enrolled)
Assignments valid until
12 months after course has ended
Course enrolment period
2018-12-25 to 2019-01-21
Assessment methods
Date will be announced later - Other assignments
| Date | Time | Room | Title | Description | Organizer |
|---|---|---|---|---|---|
| 2018-09-05 | 10:30 - 13:30 | E377 | Datorseende: Feedbacktillfälle 2 | One-on-one feedback på projektarbetet. 30min per person/arbetspar. Anmäl dej/er på Itslarning! | Karlsson Jonny |
| 2019-01-10 | 10:15 - 14:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-01-18 | 10:15 - 12:00 | A503 | Datorseende | Karlsson Jonny | |
| 2019-01-18 | 12:15 - 14:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-01-21 | 10:15 - 14:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-01-22 | 11:30 - 15:15 | F366 | Datorseende | Karlsson Jonny | |
| 2019-01-28 | 12:15 - 16:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-02-04 | 12:15 - 16:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-02-07 | 10:15 - 14:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-02-11 | 12:15 - 16:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-02-14 | 13:15 - 16:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-02-18 | 12:15 - 16:00 | F366 | Datorseende | Karlsson Jonny | |
| 2019-03-11 | 09:00 - 16:00 | E387 | Datorseende: Projektfeedback 1 | Anmäl dej/ditt arbetspar till detta tillfälle på Itslearning (30min per grupp/arbetspar) | Biström Dennis Karlsson Jonny Scherbakov-Parland Andrej Westerlund Magnus |
| 2019-03-25 | 10:00 - 16:00 | E377 | Datorseende: Projektfeedback 2 | Anmäl dej/ditt arbetspar till detta tillfälle på Itslearning (30min per grupp/arbetspar) | Karlsson Jonny |
| 2019-04-12 | 11:00 - 14:30 | E377 | Datorseende: Projektfeedback 3 | Anmäl dej/ditt arbetspar till detta tillfälle på Itslearning (30min per grupp/arbetspar) | Karlsson Jonny |