Introduction to Python Programming (5 cr)
Code: TU00FH42-3006
General information
- Enrollment
-
05.05.2025 - 17.08.2025
Registration for implementation has not started yet.
- Timing
-
18.08.2025 - 14.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 60 - 90
- Degree programmes
- Industrial Management
- Teachers
- Heidi Lehikoinen
- Groups
-
TXQ25S2Tuotantotalouden tutkinto-ohjelma monimuoto
-
TXQ25S2PIndustrial Management, open university students
- Course
- TU00FH42
Objective
Students are able to read and write programs using Python and they will learn basic concepts, which enable them to expand their programming skills by further practicing.
Content
• Basics of Python language
• Input / output
• Control structures
• Functions
• Modules, libraries
• Common data structures
• Class and object
• Error handling
• File read and write
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.
Assessment criteria, good (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. Students are able to apply their knowledge in leisure, study and work situations.
Assessment criteria, excellent (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are well prepared to apply their knowledge in leisure, study and work situations.
Assessment criteria, approved/failed
Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.