Project: Data Engineering and Machine Learning (5 cr)
Code: R504D106-3002
General information
Enrollment
24.03.2025 - 31.07.2025
Timing
06.10.2025 - 05.12.2025
Credits
5 op
Virtual proportion (cr)
3 op
RD proportion (cr)
2.5 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Unit
Bachelor of Engineering, Information Technology
Teaching languages
- Finnish
Teachers
- Aku Kesti
Responsible person
Aku Kesti
Student groups
-
R54D23SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2023
Objective
The student is able to carry out a practical data engineering project using agile methods. The student knows the DevOps principles and applies these principles in development and teamwork. The student is able to utilize DevOps tools in data management and knows the key principles of data security related to data security. The student is able to manage stakeholders.
Content
- Agile methods and DevOps
- Stakeholder management
- Data management security
- DevSecOps
- DataOPS
Location and time
Course will be arranged in Rovaniemi campus. More detailed information from the time schedules
Teaching methods
There are other semester course which are integrated to project. Agile method is used as a method in the process. There will be project workshop days and reviews during the semester. Reviews will be separately with each project group.
Evaluation scale
H-5
Assessment methods and criteria
Evaluation is based on project work (content and team collaboration). Documention and project process will be part of the evaluation as well.