Project studies 2 - Machine learning (5 cr)
Code: TT00CC64-3003
General information
- Enrollment
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19.08.2024 - 22.09.2024
Registration for the implementation has ended.
- Timing
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01.08.2024 - 31.12.2024
Implementation has ended.
- 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 19 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 21.10.2024 time 17:00 - 19:30 (2 h 30 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams opetus
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Wed 30.10.2024 time 17:00 - 18:00 (1 h 0 min) |
Projektiopinnot 2 - Koneoppiminen "parittomat tiimit" |
Teams-opetus
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Wed 06.11.2024 time 17:00 - 18:00 (1 h 0 min) |
Projektiopinnot 2 - Koneoppiminen "parilliset tiimit" |
Teams-opetus
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Wed 13.11.2024 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams-opetus
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Wed 20.11.2024 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams-opetus
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Wed 27.11.2024 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams-opetus
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Wed 04.12.2024 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams-opetus
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Wed 11.12.2024 time 17:00 - 20:00 (3 h 0 min) |
Projektiopinnot 2 - Koneoppiminen TT00CC64-3003 |
Teams-opetus
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Changes to reservations may be possible.
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