The course takes place in period

3 (2020-01-01 to 2020-03-22)

Level/category

Professional studies

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

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 8 asignment. A minimum of 50% of the total points is required for grade 1.

Teacher

  • Karlsson Jonny
  • Shamsuzzaman Md
  • Westerlund Magnus

Examiner

Karlsson Jonny

Home page of the course

https://arcada.itslearning.com/

Group size

No limit (34 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2019-12-24 to 2020-01-20

Assessment methods

Date will be announced later - Other assignments
Room reservations
Date Time Room Title Description Organizer
2020-01-07 12:15 - 16:00 F365 Datorseende Karlsson Jonny
2020-01-17 10:15 - 11:00 B327 Datorseende Dooley Laurence
Karlsson Jonny
2020-01-17 11:15 - 13:00 E387 Datorseende Karlsson Jonny
2020-01-20 11:30 - 15:15 E387 Datorseende Karlsson Jonny
2020-01-21 10:15 - 14:00 E387 Datorseende Karlsson Jonny
2020-01-27 12:15 - 16:00 E387 Datorseende Karlsson Jonny
2020-01-28 12:15 - 16:00 F365 Datorseende Karlsson Jonny
2020-01-30 10:00 - 12:00 Företagsbesök, Innofactor Kägelstranden 9, Esbo. För anmälning och mera info, kolla mejl. Karlsson Jonny
2020-02-03 12:15 - 16:00 E387 Datorseende Karlsson Jonny
2020-02-04 12:15 - 16:00 F365 Datorseende Karlsson Jonny
2020-02-10 12:15 - 16:00 E387 Datorseende Karlsson Jonny
2020-02-11 12:15 - 16:00 E387 Datorseende Karlsson Jonny
2020-02-17 12:15 - 16:00 E387 Datorseende Karlsson Jonny
2020-02-18 12:15 - 16:00 E387 Datorseende Karlsson Jonny

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