Project studies 2 - Machine learning (5 cr)
Code: TT00CC64-3004
General information
- Enrollment
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02.07.2025 - 31.07.2025
Registration for introductions has not started yet.
- Timing
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01.08.2025 - 31.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Realization has 8 reservations. Total duration of reservations is 20 h 0 min.
| Time | Topic | Location |
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Mon 27.10.2025 time 17:00 - 18:00 (1 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
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Mon 03.11.2025 time 17:00 - 18:00 (1 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
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Mon 10.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
Teams opetus
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Mon 17.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
Teams opetus
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Mon 24.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
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Mon 01.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
Teams opetus
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Mon 08.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
Teams opetus
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Mon 15.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3004 |
Teams opetus
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Objective
In the course, students learn to apply machine learning methods in real practical tasks. As part of the course, students work in small groups to develop an application that uses machine learning. During the project, students prepare a comprehensive project plan, analyze and understand the given data, perform data pre-processing and storage, and apply suitable machine learning models to analyze the dataset and report the results of their project.
Evaluation scale
0 - 5
Objective
In the course, students learn to apply machine learning methods in real practical tasks. As part of the course, students work in small groups to develop an application that uses machine learning. During the project, students prepare a comprehensive project plan, analyze and understand the given data, perform data pre-processing and storage, and apply suitable machine learning models to analyze the dataset and report the results of their project.