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 SolvingПенсильванский университет
Об этом курсе
- 5 stars80,56 %
- 4 stars12,68 %
- 3 stars3,25 %
- 2 stars1,21 %
- 1 star2,27 %
Лучшие отзывы о курсе COMPUTATIONAL THINKING FOR PROBLEM SOLVING
Very comprehensive course. As a chemist who is interested in doing a course in programming I was quite uncertain if I'd be able to pick it up however this course has helped me understand the basics.
The course is great. I learned a lot. The support for the course is SUPER slow. It's hard to get any direct help for any questions or issues that you are having. Beware of assignment 4.7!
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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оплатив сертификацию?
Можно ли получить финансовую помощь?
Do I need to know how to program or have studied computer science in order to take this course?
How much math do I need to know to take this course?
Does this course prepare me for the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
Where can I find more information about the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
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