Embedded Python Programming - H2CLaajuus (5 cr)
Code: TT00BZ68
Credits
5 op
Teaching language
- Finnish
- English
Objective
After this course students know how to use Python professionally. This course includes quizzes, tests and homework assignments as well as three projects to create a Python project portfolio. This course will teach Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook.
Content
The course covers the following topics:
• Learn to use Python basic features and basics of micro Python programming.
• Learn advanced Python features, like the collections module and how to work with time series databases, send sensor data to different databases and MQTT broker.
• Learn to use Object Oriented Programming with classes.
• Understand complex topics, like decorators.
• Understand how to both use the Jupyter Notebook and create .py files
• Get an understanding of how to create GUIs in the Jupyter Notebook system.
• Python 3 on microcontrollers and small embedded systems (Micro Python).
Enrollment
01.12.2021 - 31.01.2022
Timing
01.01.2022 - 14.06.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- English
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Eero Huusko
Groups
-
TTV19SPTTV19SP
Objective
After this course students know how to use Python professionally. This course includes quizzes, tests and homework assignments as well as three projects to create a Python project portfolio. This course will teach Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook.
Content
The course covers the following topics:
• Learn to use Python basic features and basics of micro Python programming.
• Learn advanced Python features, like the collections module and how to work with time series databases, send sensor data to different databases and MQTT broker.
• Learn to use Object Oriented Programming with classes.
• Understand complex topics, like decorators.
• Understand how to both use the Jupyter Notebook and create .py files
• Get an understanding of how to create GUIs in the Jupyter Notebook system.
• Python 3 on microcontrollers and small embedded systems (Micro Python).
Evaluation scale
0 - 5
Prerequisites
Participants should have background in Operating Systems, primarily in Linux Operating systems