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 SolvingUniversidad de Pensilvania
Acerca de este Curso
Habilidades que obtendrás
- 5 stars80,56 %
- 4 stars12,68 %
- 3 stars3,25 %
- 2 stars1,21 %
- 1 star2,27 %
Principales reseñas sobre 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.
An excellent bridge into introductory computer science topics. Professors Susan Davidson and Chris Murphy exposed learners to computer science concepts within everyday problems.
Excellent course for beginners with enough depth, programming and computational theory to increase their computer science knowledge to a higher level. It builds a good foundation of how computers work
Course content is good, graded assignments are good, I just had problems with my assignments in week 4 as I easily became confused with the implementation of all the lessons combined.
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Do I need to know how to program or have studied computer science in order to take this course?
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Does this course prepare me for the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
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