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宾夕法尼亚大学
- 5 stars80.55%
- 4 stars12.71%
- 3 stars3.28%
- 2 stars1.23%
- 1 star2.21%
來自COMPUTATIONAL THINKING FOR PROBLEM SOLVING的熱門評論
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.
Great course - the non-programming parts (making flow charts etc) were actually more difficult than the programming (simple Python programming - my first time programming in python)
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.
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.
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?