Machine LearningLaajuus (5 cr)
Code: 5S00EZ72
Credits
5 op
Enrolment period
02.12.2024 - 05.01.2025
Timing
07.01.2025 - 10.05.2025
Credits
5 op
Mode of delivery
Contact teaching
Unit
Electrical and Automation Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Electrical Engineering
Teachers
- Teemu Heinimäki
Person in charge
Jarkko Lehtonen
Groups
-
22I231B
Location and time
Remotely, starting on January 13 at 11:15. See Moodle.
Exam schedules
Arranged in the exam.tuni.fi environment with a flexible schedule at the end of the course. Besides the exam, the evaluation is based on course activities, such as exercises/assignments, presentations, smaller tests, etc.
Assessment methods and criteria
Exam and course activities – see the Finnish description for more details.
Assessment scale
0-5
Teaching methods
Lectures, exercises, presentations, remote teaching, self-study, problem-based learning
Learning materials
Presented in the beginning of the course.
Student workload
The planned average student workload is about 135 hours, distributed evenly during the third and fourth periods.
Completion alternatives
Contact the teacher for special arrangements.
Practical training and working life cooperation
Guest lecture possible, but not guaranteed.
Enrolment period
02.12.2023 - 07.01.2024
Timing
08.01.2024 - 05.05.2024
Credits
5 op
Mode of delivery
Contact teaching
Unit
Electrical and Automation Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Electrical Engineering
Teachers
- Antti Välimäki
- Pekka Pöyry
Person in charge
Pekka Pöyry
Groups
-
20I231C
-
21I231B
-
20I231B
Assessment scale
0-5