Industrial Project 1 (5 cr)
Code: R504D69-3001
General information
Enrollment
01.10.2021 - 31.01.2022
Timing
14.03.2022 - 30.04.2022
Credits
5 op
RD proportion (cr)
4 op
Mode of delivery
Contact teaching
Unit
Bachelor of Engineering, Information Technology
Teaching languages
- Finnish
Degree programmes
- Machine Learning and Data Engineering
Teachers
- Aku Kesti
- Kenneth Karlsson
Responsible person
Aku Kesti
Student groups
-
R54D21SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021
Objective
The student becomes familiarized with the work life while deepening their understanding of personal profession. The student becomes acquainted with a partner company or organisation. The student can set personal learning objectives and monitor own performance. The student can consider sustainable and ethical solutions in professional work.
Content
- Setting personal learning objectives, following personal development
- Norms and culture in working life
- Applying learned skills and knowledge in practice in real projects and work
- Ethical issues and sustainability in own profession
Location and time
Lessons in the classrooms according to the timetable
In addition the course includes independent and team work in the computer class rooms
Materials
Flask Web Development 2e, Miguel Grinberg (2018)
Python For Dummies, Stef Maruch, Aahz Maruch
Teaching methods
Lectures, Assignments, Project based learning
During the classes various examples combining theory and practice will be studied. Course includes lots of practical work in in a student team.
Employer connections
During the study unit a practical work life project will be implemented using RC cars including sensors and website developing. The work in the student teams simulate real work life situation. Student learns how to plan, agree about project tasks and contribute in a team.
Content scheduling
- Basics of back end and flask programming
- Ajax / Axios
- Jinja2 template engine
- Databases and Flask
- MVC Architecture
- Authentication
- Project work in the teams
Evaluation scale
H-5
Assessment criteria, approved/failed
The student makes the learning outcomes for the current practical training period and reports back during and after the practical training period about the acquired skills.
Assessment methods and criteria
The project work and assignments will be evaluated.
Grade: Rejected - 5.