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Machine learning (5 cr)

Code: DA00EK58-3001

General information


Enrollment

07.11.2022 - 18.11.2022

Timing

11.01.2023 - 01.05.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Liiketalouden koulutusyksikkö

Campus

Kouvola Campus

Teaching languages

  • Finnish

Seats

20 - 40

Degree programmes

  • Degree Programme in Data Analytics

Teachers

  • Atte Reijonen
  • Jarkko Ansamäki

Groups

  • DAKV21SP
    Data-analytics, full-time studies

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?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

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

Student workload

1 cr = 27 hours work

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)