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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).

Qualifications

Participants should have background in Operating Systems, primarily in Linux Operating systems

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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
  • TTV19SP
    TTV19SP

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

Qualifications

Participants should have background in Operating Systems, primarily in Linux Operating systems