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Вернуться к Computational Thinking for Problem Solving

Отзывы учащихся о курсе Computational Thinking for Problem Solving от партнера Пенсильванский университет

Оценки: 1,107
Рецензии: 381

О курсе

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....

Лучшие рецензии


18 дек. 2018 г.

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


3 февр. 2019 г.

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.

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301–325 из 383 отзывов о курсе Computational Thinking for Problem Solving

автор: Tianqi L

9 февр. 2021 г.

I love it!

автор: Carol G

8 авг. 2020 г.


автор: Sergey

22 июля 2020 г.


автор: Cleefton B

1 дек. 2019 г.


автор: Satish v

3 сент. 2021 г.


автор: Tran N Q A

24 июня 2021 г.

Very good

автор: Abu S M H

13 янв. 2020 г.



2 сент. 2021 г.

its good

автор: Gregory S

14 мар. 2021 г.


автор: James L

30 мар. 2020 г.


автор: 강지희

3 апр. 2022 г.


автор: Trương Q T

18 февр. 2022 г.


автор: SAI M K R

29 сент. 2021 г.


автор: RISHI K S

14 сент. 2021 г.



13 сент. 2021 г.


автор: Vinh N P

6 авг. 2021 г.


автор: RealHuyLe

21 июня 2021 г.


автор: Tuấn T M

4 июня 2021 г.


автор: Nguyên N N T

29 мая 2021 г.


автор: Krusha R

8 сент. 2021 г.


автор: SHUBHAM P

7 сент. 2021 г.


автор: Jennifer S

25 июля 2021 г.

PROS: The course description appropriately targets beginners to the world of computational thinking and problem solving. The instructors provide a variety of universal examples to help students understand the step by step process leading to an introduction to python programming. The units are broken into very manageable lessons followed by quizzes and projects to assess understanding and provide an opportunity to apply what was incrementally learned.

CONS: There are jumps in content area knowledge when asked to move from instructional to mathematical logic. Personally, I had to do some googling to relearn basic mathematical skills to complete tasks successfully. It would have helped to have a transition or an example to refresh my math skills from over 40 years ago. Also, as an educator, I'm all for a peer review - especially, when peers are offering constructive criticism. Unfortunately, in this forum (not just UPenn Coursera courses), most students are just racing to get through the course and clicking on complete. I haven't any qualms with losing points to learn the error of my ways, but I lost a point to someone that commented, "Great Job!" without further explanation. With that said, there is also some discrepancy between the prompts and the rubrics. However, once you learn what to look for in the pattern of instruction and assessment, it's fairly easy to adjust.

автор: Kingshuk D

24 июля 2020 г.

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! :)

автор: Reece M

3 февр. 2020 г.

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!


автор: Daniel C

16 авг. 2020 г.

Very interesting course for beginners. In my professional environment, I am rarely exposed to this type of problem solving through coding (I am a CPA), yet, this course took me from zero to having a better understanding about how to "think" like a computer. One recommendation I would make is to somehow show students, onscreen, for each example on the PowerPoints, how each line of code is interpreted by the computer. The latter would clearly show things like why indentation is so important or how the computer understands a loop. Lastly, although I received multiple emails from the available support, it comes a point where you need somewhat of a live chat. Again, I highly recommend this course for anyone who wants to wet his/her appetite for programming. Thank you for all the support and patience.