Skip to main content

Machine learning (5 cr)

Code: DA00EK58-3003

General information


Enrollment

04.11.2024 - 17.11.2024

Timing

13.01.2025 - 31.05.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Department of Business

Campus

Ecampus

Teaching languages

  • Finnish

Seats

20 - 60

Degree programmes

  • Degree Programme in Data Analytics

Teachers

  • Atte Reijonen
  • Jarkko Ansamäki

Teacher in charge

Jarkko Ansamäki

Groups

  • DAKV23SV
    Data analytics, online studies
  • 14.02.2025 09:00 - 10:30, Koneoppiminen DA00EK58-3003
  • 07.03.2025 12:50 - 14:20, Koneoppiminen DA00EK58-3003
  • 04.04.2025 12:50 - 14:20, Koneoppiminen DA00EK58-3003
  • 04.04.2025 14:30 - 16:00, Koneoppiminen DA00EK58-3003

Objective

You understand the principles of artificial intelligence and machine learning.
You can determine what type of machine learning is appropriate for a given task.
You can do small artificial intelligence projects.

Content

How does artificial intelligence work?
How can machine learning be classified?
What are the different machine learning solutions suitable for?
How can simple artificial intelligence solutions be made?

Opiskelumateriaali

Web materials

Yksilölliset oppimisväylät

Individual learning tracks should always be discussed with the lecturers

TKI ja työelämäyhteistyö

The course may have assignments made for companies or assignments agreed individually with students.

Opiskelijan työmäärä

1 cr = 27 hours work

Further information

Opiskelijan tulee hallita R-ohjelmoinnin perusteet. Ne voi hankkia suorittamalla samaan aikaan pidettävän Tilastolliset menetelmät -kurssin tai kertausmateriaalien avulla. Suosittelemme kurssien samanaikaista suorittamista.

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)