Project studies 2 - Machine learningLaajuus (5 cr)
Code: TT00CC64
Credits
5 op
Teaching language
- Finnish
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.
Enrollment
02.07.2025 - 31.07.2025
Timing
01.08.2025 - 31.12.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
- Jani Sourander
Groups
-
TTM24SAITTM24SAI
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
Enrollment
19.08.2024 - 22.09.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
- Jani Sourander
Groups
-
TTM23SAITTM23SAI
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
Enrollment
01.08.2023 - 29.10.2023
Timing
30.10.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Jussi Ala-Hiiro
Groups
-
TTM22SAITTM22SAI
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
Enrollment
01.08.2023 - 29.10.2023
Timing
30.10.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
- Jussi Ala-Hiiro
Groups
-
TTV22SAITTV22SAI
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