Trailer for Informatik-Fit
The diversity of problems in computer science makes it impossible to give a brief or complete definition of computer science.
It is also impossible to cover all topics in a three-week introductory course.
However, we have to start at some point...
So we've tried to select the most important concepts/basics and ideas of computer science and
teach them in such a way that the participants can quickly get a broader picture of computer science.
Furthermore, it should be possible for the participants to identify and create connections between topics.
The course participants acquire skills in the following knowledge domains:
- Introduction: history, milestones, definition of "computer science", data-information-knowledge.
- Information processing systems: hardware-software, input-process-output, number system, logic
- Computational thinking skills: definition of "computational thinking", properties of algorithms, from an algorithm to an executable program
- Programming: first steps with Python, basic elements and concepts of programming
- Internet: functional principle and technologies
- Digital ethics: selected social aspects of information technologies
There is no previous knowledge expected.
The course consists of 6 lessons. The individual lessons include:
- introductory videos and additional materials as input
- (interactive) exercises and tasks for practical application and consolidation
- self-assessment-questions concerning the acquired knowledge and understanding
Note: You can do 2 lessons per week.
For actively participating in the course you will receive an automatic confirmation of participation (certificate) which includes your username, the course title, course duration as well as the hours required to complete the course. We want to point out that this certificate merely confirms that the user answered at least 75% of the self-assessment questions correctly.
Unless expressly stated otherwise, this work is licensed under a CC BY 4.0
Mag. Maria Grandl works at the Institute of Interactive Systems and Data Science at the Graz University of Technology and writes her dissertation on the subject of Basic Computer Science Education and Maker Education.
The MOOC was revised in 2022 and created with:
Mag. David Andrews is a computer science teacher at BG Rein and is engaged in the areas of computer science didactics and digital ethics in his work in the service department Educational Technology at Graz University of Technology.
The first version of the MOOC was created in 2019 together with Dr. Bernadette Spieler.
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Graz University of Technology