The course is included in these curricula and study modules
The course takes place in period
3 (2023-01-01 to 2023-03-19)
Level/category
Teaching language
Swedish
Type of course
Compulsory
Cycle/level of course
First
Recommended year of study
2
Total number of ECTS
5 cr
Competency aims
Within this study unit we will focus on the
following
competencies:
Professional competence in digital systems.
SDG's in focus:
- #7: Affordable and clean energy
- #9: Industry, innovation and infrastructure
Learning outcomes
Once you have completed the study unit you will
have?
(mention knowledge, skill, attitude)
Have an understanding of how machine learning can
be
integrated into various smart systems (Skill)
Knowledge of programming and smart systems
(Knowledge,
skill)
Understand the division of data into training,
test and
validation data. (Knowledge, skill)
Knowledge of different algorithms in machine
learning and
knowledge of choosing a suitable algorithm.
(Knowledge,
skill)
Be able to create machine learning models for
tabular
data. (Skill)
Course contents
The content is largely based on Scikit learn
package
Preprocessing
Dimensionality reduction
Model evaluation
Classification
Refresssion
Clustering
Prerequisites and co-requisites
Programming
Study activities
- Lectures - 30 hours
- Project- and production work/artistic activities - 30 hours
- Individual studies - 75 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
Demonstrations and proficiency exams
Assessment requirements
To pass the course the student should pass the
following examinations:
Online tests and project assignment.
Teacher
Roos Kim
Examiner
Roos Kim
Home page of the course
Group size
No limit (16 students enrolled)
Assignments valid until
12 months after course has ended
Course enrolment period
2022-12-26 to 2023-01-22
Assessment methods
Date will be announced later - Demonstrations and presentations
Date | Time | Room | Title | Description | Organizer |
---|---|---|---|---|---|
2023-01-10 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-01-17 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-01-24 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-01-31 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-02-07 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-02-14 | 13:15 - 16:00 | E385 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-02-21 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-02-28 | 13:15 - 16:00 | F365 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-03-07 | 13:15 - 16:00 | E385 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |
2023-03-14 | 13:15 - 16:00 | E385 | Maskininlärning | Join Zoom Meeting https://arcada.zoom.us/j/6040267091 | Roos Kim |