Project: Data Analytics and Visualization (5 cr)
Code: R504D99-3002
General information
- Enrollment
- 02.10.2023 - 14.01.2024
- Registration for the implementation has ended.
- Timing
- 15.01.2024 - 31.05.2024
- 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
- Maisa Mielikäinen
- Tanja Kyykkä
- Teacher in charge
- Maisa Mielikäinen
- Groups
-
R54D23SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2023
- Course
- R504D99
Evaluation scale
H-5
Objective
The student is able to perform data analytics and visualization tasks in a real project.
The student is familiar with the necessary tools and technologies for data analysis and visualization.
The student knows the basics of project management. The student is able to work on a project and produce the main documentation of the project. The student is able to work in a team to achieve a common goal. The student knows project communication. The student is able to perform in various project-related situations.
Execution methods
The student's active participation in the project in their own role
Content
Basics of project management: process and documentation.
The project includes 1 ECTS of communication.
Location and time
The theoretical introduction to the subject mainly takes place before the ski holiday and the practical project is started after it. Learning mainly takes place on campus according to the timetable. The reviews are carried out via Teams.
Materials
The lecture material (videos) is provided in Moodle, as well as the document templates needed for the practical project.
Teaching methods
At first, the students familiarize themselves with the project management online material provided in Moodle and complete the tasks related to the material.
After that, for the practical project, students are formed into project groups of 3-4 people who implement an real-world problem-solving project utilizing basics of project management methods. Learning includes e.g. guest lectures on the topic, screenings and guidance sessions. The outputs of the projects will be presented at the joint project exhibition day with all ICT engineering student groups at the end of April.
Completion alternatives
The course can also be completed in a working life project. The method of implementation will be separately agreed in detail with the responsible teacher.
Student workload
The evaluation is based on the student's activity, responsibility and results as an individual (50%) as well as at the project group level (50%). The evaluation is continuous, which means that the entire process, not just the end result, is the subject of the evaluation.