Online learning (5 cr)
Code: TT00CC71-3004
General information
- Enrollment
-
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 24 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 21.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 29.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 05.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 12.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 19.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 26.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 03.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Wed 10.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Online learning |
Teams
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Objective
The student knows how to create a neural network for online learning, as well as enable it on the server and publish it. The student can adjust the hyperparameters of the neural network so that the neural network learns more from user data. (E.g. recommender neural networks or congestion predicting neural networks.)
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
A grade of 5 requires completing and returning all course exercises, as well as a commendable reflection on the exercises.
Assessment criteria, satisfactory (1)
For a grade of 1, it is required that the returned course exercises show that the student knows how to use a ready-made neural network in an online environment.
Prerequisites
Deep learning 1
Deep learning 2