Advanced Python programming (5 cr)
Code: TX00DZ62-3008
General information
- Enrollment
-
02.12.2024 - 12.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 80 - 100
- Degree programmes
- Industrial Management
Implementation has 8 reservations. Total duration of reservations is 22 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 13.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Mon 27.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Mon 10.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Mon 03.03.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
KMD550
Oppimistila
|
|
Tue 18.03.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Tue 01.04.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Tue 15.04.2025 time 17:00 - 20:00 (3 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
Online
|
|
Tue 29.04.2025 time 17:00 - 18:00 (1 h 0 min) |
Python-ohjelmoinnin jatkokurssi TX00DZ62-3008 |
KME659
Oppimistila
|
Objective
Students are able to develop own Python programs using suitable structures and concepts. Students will learn most common Python libraries for manipulating and visualizing large data sets.
Content
• Recap of basic structures
• Object oriented programming
• Using files
• Data communication
• Most common mathematical libraries and their usage
• Basic methods for Machine Learning
• Most common graphical libraries and their usage
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.
Qualifications
Introduction to Programming (Python)