"Computationalthinking" Example Sentences
1. Learning computational thinking is a valuable skill for problem-solving.
2. The principles of computational thinking apply to various fields beyond just computer science.
3. Analyzing data with computational thinking can reveal hidden patterns and trends.
4. Computational thinking helps individuals approach complex problems systematically.
5. Curriculum designers are incorporating computational thinking into their lesson plans to prepare students for the digital age.
6. The adoption of computational thinking is transforming the way organizations approach decision-making.
7. Using computational thinking, scientists are able to simulate complex systems and better understand natural phenomena.
8. Computational thinking can be applied to both digital and analog processes.
9. Learning to code requires a foundation in computational thinking.
10. Educational institutions are emphasizing the importance of computational thinking as a core skill.
11. With computational thinking, it is possible to automate repetitive tasks and increase efficiency.
12. Professionals in disciplines outside of computer science are finding value in learning computational thinking.
13. The practice of computational thinking can lead to creative approaches to problem-solving.
14. Computational thinking involves breaking a problem down into smaller, more manageable components.
15. Successful entrepreneurs often use computational thinking to strategize and make decisions.
16. Computational thinking can be a valuable tool in streamlining corporate processes.
17. Students can benefit from computational thinking as a way to develop critical thinking skills.
18. Computational thinking requires a logical and analytical mindset.
19. The development of computational thinking skills can lead to career opportunities in technology.
20. With computational thinking, individuals can create and improve upon algorithms used in everyday life.
21. Computational thinking can help individuals make sense of vast amounts of data.
22. Applying computational thinking principles to scientific research can lead to more accurate and efficient results.
23. The integration of computational thinking into K-12 education prepares students for the increasingly digital world they will enter.
24. A strong understanding of computational thinking can help individuals troubleshoot issues with technology.
25. Businesses are turning to computational thinking to innovate and adapt in a rapidly changing marketplace.
26. Developing computational thinking skills can improve decision-making abilities in any field.
27. Computational thinking enables individuals to break down complex systems and analyze them for potential improvements.
28. Analytics professionals rely on computational thinking to make sense of large datasets.
29. Computational thinking can help individuals design more effective and efficient websites and applications.
30. With computational thinking, individuals can improve their problem-solving skills in any area of life.
Common Phases
1. Identifying the problem;
2. Decomposing the problem into smaller parts;
3. Developing algorithms to solve the problem;
4. Testing and refining the algorithms;
5. Coding the algorithms into a computer program;
6. Running the program and analyzing the results;
7. Debugging and troubleshooting errors in the program;
8. Documenting the problem-solving process.