Embedded Python Programming - H2C (5 cr)
Code: TT00BZ68-3002
General information
- Enrollment
-
19.01.2021 - 17.02.2021
Registration for the implementation has ended.
- Timing
-
18.02.2021 - 01.08.2021
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- English
- Finnish
- Teachers
- Eero Huusko
- Course
- TT00BZ68
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
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.
Execution methods
Online
Accomplishment methods
Online
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).
Qualifications
Participants should have background in Operating Systems, primarily in Linux Operating systems