EM-2-039

• Energy and environmental engineering 2021 - Digital systems
• Energy and environmental engineering 2022 - Digital systems
• Energy and environmental engineering 2023 - Digital systems

3 (2023-01-01 to 2023-03-19)

Swedish

Compulsory

First

2

5 cr

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

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)

The content is largely based on Scikit learn
package
Preprocessing
Dimensionality reduction
Model evaluation
Classification
Refresssion
Clustering

Programming

• Lectures - 30 hours
• Project- and production work/artistic activities - 30 hours
• Individual studies - 75 hours

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

Participation in tuition

Demonstrations and proficiency exams

To pass the course the student should pass the
following examinations:
Online tests and project assignment.

Roos Kim

Roos Kim

https://arcada.itslearning.com/ External link

No limit (16 students enrolled)

12 months after course has ended

2022-12-26 to 2023-01-22

Date will be announced later - Demonstrations and presentations