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 Solving
University of PennsylvaniaAbout this Course
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- Simple Algorithm
- Python Programming
- Problem Solving
- Computation
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Syllabus - What you will learn from this course
Pillars of Computational Thinking
Expressing and Analyzing Algorithms
Fundamental Operations of a Modern Computer
Applied Computational Thinking Using Python
Reviews
- 5 stars80.51%
- 4 stars12.72%
- 3 stars3.22%
- 2 stars1.20%
- 1 star2.33%
TOP REVIEWS FROM COMPUTATIONAL THINKING FOR PROBLEM SOLVING
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.
Very well thought out. This course covers simple concepts while still being engaging and challenging. Examples from varying disciplines help illustrate concepts in a real-life context.
A really well-taught course by astute professors. Its assignments are to the point and not much abstract with good amount of challenging questions especially the last module of the course
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.
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