**關於此課程：**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.
In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program.
This course will introduce you to people from diverse professions who use computational thinking to solve problems. You will engage with a unique community of analytical thinkers and be encouraged to consider how you can make a positive social impact through computational thinking.

Computational Thinking for Problem Solving is one of the best courses I have taken thus far on Coursera. The course is extremely organized, yet challenging (for non-CS majors) and forces one to learn a multitude of concepts that are prevalent in our world today. Hats off to the team at Penn Engineering for creating such a transformative, creative and intuitive approach to computational thinking, and applying the lesson material to real-world problems and solutions.

Best,

Holden