Data Engineering project (5 cr)
Code: MS00CN46-3002
General information
- Enrollment
-
02.12.2024 - 14.01.2025
Registration for the implementation has ended.
- Timing
-
01.01.2025 - 31.07.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Campus
- Kupittaa Campus
- Teaching languages
- Finnish
- English
- Seats
- 10 - 25
- Degree programmes
- Master of Engineering, Data Engineering and AI
- Master of Business Administration, Data Engineering and AI
- Teachers
- Jussi Salmi
- Course
- MS00CN46
Realization has 4 reservations. Total duration of reservations is 14 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 14.01.2025 time 12:30 - 16:00 (3 h 30 min) |
Data Engineering project MS00CN46-3002 |
EDU_2027
Frans muunto byod
|
|
Tue 11.02.2025 time 12:30 - 16:00 (3 h 30 min) |
Data Engineering project MS00CN46-3002 |
EDU_2027
Frans muunto byod
|
|
Tue 11.03.2025 time 12:30 - 16:00 (3 h 30 min) |
Data Engineering project MS00CN46-3002 |
EDU_2027
Frans muunto byod
|
|
Tue 15.04.2025 time 12:30 - 16:00 (3 h 30 min) |
Data Engineering project MS00CN46-3002 |
EDU_2027
Frans muunto byod
|
Evaluation scale
H-5
Content scheduling
-The basic idea of data engineering methods and pipelines
-different components
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)
Objective
After completing the course, the students can
- work in the Data Engineering project
- describe and understand how Data Engineering projects are implemented
Content
Practical project related to Data Engineering
Materials
Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.
Teaching methods
Contact learning, practical exercises, independent study
International connections
Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.
Student workload
Contact hours 16 h
Inpendent studying 119h, including:
- Studying the course material
- Completing assignments
- Project
Further information
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine.