Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.
Computational Thinking for Problem SolvingUniversité de Pennsylvanie
À propos de ce cours
Compétences que vous acquerrez
- 5 stars80,55 %
- 4 stars12,71 %
- 3 stars3,28 %
- 2 stars1,23 %
- 1 star2,21 %
Meilleurs avis pour COMPUTATIONAL THINKING FOR PROBLEM SOLVING
The autograder can be somewhat of a pain and some of the solutions in the peer-review sections aren't the most efficient. Otherwise it helped teach the building blocks of coding.
Thoroughly enjoyed the course. If you are new to computer science or need a refresher of the basic concepts you learned in high school / college, this is the perfect course
The course is generally good. However, the assignment content and the lecture are not really getting along, especially the Python part. I suggest more "bridging" materials.
The course is very well-designed and it helped me develop understand how to apply computational thinking in solving various types of problems as well as acquire basic skills of programming in Python.
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