Project: Data Engineering and Machine Learning (5 cr)

Code: R504D106-3001

General information

Enrollment: 18.03.2024 - 20.10.2024; Registration for the implementation has ended.

Timing: 21.10.2024 - 08.12.2024; Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

Unit: Bachelor of Engineering, Information Technology

Teaching languages: English

Seats: 0 - 30

Teachers: Aku Kesti

Teacher in charge: Aku Kesti

Course: R504D106

Evaluation scale

H-5

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.

Student workload

Course is 5 credits and approximately 125 hours student work. It consists of
- SCRUM reviews
- Working with technological challenges in the project group
- Project meetings and documentation, reporting
- Project seminar at the end of the project