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學生對 宾夕法尼亚大学 提供的 Computational Thinking for Problem Solving 的評價和反饋

782 個評分
266 條評論


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....



Dec 19, 2018

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


Jul 09, 2020

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.


201 - Computational Thinking for Problem Solving 的 225 個評論(共 264 個)

創建者 Mayuresh S

Jul 25, 2020

Well structured great course!

創建者 Sean O

Jun 18, 2020

Very well laid out and paced.

創建者 Ting-Hsuan L

Feb 09, 2019

The course has been helpful!

創建者 Shair B

Apr 06, 2020

Interesting and informative

創建者 Denise B

Jun 06, 2020

Excellent! I recommend it.

創建者 Mudasar A

Nov 11, 2019



創建者 Godwin E

Mar 18, 2019

Well formulated course

創建者 Trong D

Jan 09, 2019

Well Presented Course

創建者 Doug Q

Nov 25, 2019

Outstanding course!!

創建者 Chunrong S

Dec 16, 2019

it worth the time.

創建者 omar m f

Nov 25, 2018

Highly Recommended

創建者 Anantha J

Jul 16, 2020

Awesome learning.

創建者 Dirk X

Jun 02, 2019

Neat and clear

創建者 Maximiliano V

Jul 29, 2019

Great course!

創建者 Qi Z

Sep 12, 2020

Great course

創建者 Antony

Jun 11, 2019

Great course


Jul 18, 2020

Good Course

創建者 moustafa

Jul 13, 2020

good course

創建者 Carol G

Aug 08, 2020


創建者 Sergey

Jul 22, 2020


創建者 Cleefton B

Dec 01, 2019


創建者 Abu S M H

Jan 13, 2020


創建者 James L

Mar 30, 2020


創建者 Kingshuk D

Jul 24, 2020

The first 3 weeks were good content and testing, though i would request more questionnaires to test all concepts introduced. though i believe the content visuals & explanations could be improved, but that generally applies to most things we do anyway. Improvisation is a continuous process.

There is something humourous about the 4th week. The content and exercises appear to have been squished in with the same amount of haste like that of a student wanting to just finish the course( I was one of the students myself , so there!). The forum response rate went down as well (understandably!). In my humble opinion, the 4th week needed to be a bit more elaborate by at least 1 more week. More exercises with smoother notching up of complexity of exercises, testing out all possible concepts so that they get embedded deeper into the students' thought process irrespective of whether they take up computing later or not.

Thank you big time, Professors! :)

創建者 Reece M

Feb 03, 2020

Overall I thought this course was very well done. It was at a basic level, so much so that you didn't need a background in computational thinking or mathematics to take the course. This was very nice!

The explanations were very helpful and the videos were well done. The instructors were overall quite engaging and the concepts were well-motivated.

I think the capstone problem (the Corpus example) could be modified to make it more engaging and interesting. I think a different problem would be more suitable, as the description of the problem was somewhat difficult to digest.

Some of the compiling and checking of the solutions was a little challenging at times. Sometimes you had the correct answer, but needed to alter the solution somewhat to fit the criteria of the test. This was not necessarily a bad thing, but it was frustrating in Module 4.

Overall nicely done!