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 SolvingUniversidade da Pensilvânia
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Universidade da Pensilvânia
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
- 5 stars80,42%
- 4 stars12,81%
- 3 stars3,20%
- 2 stars1,33%
- 1 star2,22%
Principais avaliações do COMPUTATIONAL THINKING FOR PROBLEM SOLVING
A good introduction to computer science that sees some theoretical concepts discussed and demonstrated, before introducing you to simple algorithm design and problem-solving using Python.
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.
IT is a very good course. That being said, week 4 should be spread over two weeks, and have more explanation in order to make the projects more manageable. I struggled with the last two projects.
Well taught with good examples and exercises that require thinking but still approachable. Very well laid out and taught. Definitely sparked an interest to go learn more.
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