Master of Engineering, from IoT to AI 23S, online studies: TLTIYITT23SV
Code: TLTIYITT23SV
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| Code | Name | Credits (cr) | 2023-2024 | 2024-2025 |
Autumn
2023 |
Spring
2024 |
Autumn
2024 |
Spring
2025 |
1. / 2023 | 2. / 2023 | 3. / 2023 | 4. / 2024 | 5. / 2024 | 6. / 2024 | 1. / 2024 | 2. / 2024 | 3. / 2024 | 4. / 2025 | 5. / 2025 | 6. / 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TLTIYITT23SV-1001 |
Core competence
(Choose all) |
20 | ||||||||||||||||||
| TE00BR03 | IoT | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| YY00CB89 | Data Analyzation and Visualization | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| YY00CC67 | Machine Learning | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| YT00CF50 | Introduction to artificial intelligence | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| TLTIYITT23SV-1002 |
Complementary competence
(Choose ects: 10) |
10 | ||||||||||||||||||
| YT00CF51 | Virtualization and servers as data pipeline tools | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| YT00CV18 | Digital Twins as a part of data pipeline | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||||
| TLTIYITT23SV-1003 |
Thesis
(Choose all) |
30 | ||||||||||||||||||
| YO00BU70 | Thesis Planning | 10 | 10 | 5 | 5 | 1.7 | 1.7 | 1.7 | 1.7 | 1.7 | 1.7 | |||||||||
| YO00BU71 | Thesis Project and Reporting | 20 | 20 | 10 | 10 | 3.3 | 3.3 | 3.3 | 3.3 | 3.3 | 3.3 | |||||||||
| Total | 60 | 60 | 0 | 30 | 30 | 0 | 0 | 10.13 | 10.13 | 10.13 | 10.13 | 10.13 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
Accomplishment type details
| Work placement |
No attached course units |
| Thesis related |
| Thesis Planning |
| Thesis Project and Reporting |
| Finnish as a Second language |
No attached course units |
| Working life integrated study |
No attached course units |
| Not grouped |
| IoT |
| Data Analyzation and Visualization |
| Machine Learning |
| Introduction to artificial intelligence |
| Virtualization and servers as data pipeline tools |
| Digital Twins as a part of data pipeline |
| Code | Name | Credits (cr) |
|---|---|---|
| TLTIYITT23SV-1001 |
Core competence
(Choose all) |
20 |
| TE00BR03 | IoT | 5 |
| YY00CB89 | Data Analyzation and Visualization | 5 |
| YY00CC67 | Machine Learning | 5 |
| YT00CF50 | Introduction to artificial intelligence | 5 |
| TLTIYITT23SV-1002 |
Complementary competence
(Choose ects: 10) |
10 |
| YT00CF51 | Virtualization and servers as data pipeline tools | 5 |
| YT00CV18 | Digital Twins as a part of data pipeline | 5 |
| TLTIYITT23SV-1003 |
Thesis
(Choose all) |
30 |
| YO00BU70 | Thesis Planning | 10 |
| YO00BU71 | Thesis Project and Reporting | 20 |