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Computational Thinking has become extremely important in today’s world since the use of computers in everyday life has increased drastically. New generations need to understand how computer systems work and how to think in a way that reflects how the computer-driven part of our world is structured.

This course on computational thinking provides teachers with a foundational understanding of problem-solving and decision-making processes that are essential in the realm of computer science and beyond. It emphasizes the development of analytical and logical skills to approach complex problems and break them down into manageable components. Students learn to design algorithms, create step-by-step procedures, and think algorithmically to solve real-world challenges. Additionally, the course introduces fundamental concepts such as abstraction, pattern recognition, and generalization, encouraging learners to identify common structures in problems and devise generalized solutions. Through hands-on exercises and projects, participants gain practical experience in coding and algorithm development, enhancing their ability to apply computational thinking principles to various disciplines. Overall, a course on computational thinking equips individuals with a versatile problem-solving mindset applicable in diverse fields, fostering a deeper understanding of the systematic approaches to addressing complex issues.

The course aims at helping teachers first gain a better understanding of what computational thinking is and how to apply it. In the second part it helps them create appropriate learning tasks for their students. The recommended student age this course is designed for is upper elementary school level.