Chevron Left
Back to Computational Thinking for Problem Solving

Learner Reviews & Feedback for Computational Thinking for Problem Solving by University of Pennsylvania

4.7
stars
1,410 ratings

About the Course

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....

Top reviews

AK

Dec 13, 2022

I recommend this course to everyone who wants to learn about Computation Thinking in an effortless manner. I am delighted with this course. Thanks to UPenn and Coursera for giving me this opportunity.

AW

Feb 3, 2019

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.

Filter by:

451 - 462 of 462 Reviews for Computational Thinking for Problem Solving

By Diana B

•

Apr 23, 2023

+ interesting introduintroduction to Computer thinking

- extremely very low audio videos , some examples are tedious and shoehorned

By Stephanie M

•

Jul 12, 2020

There are giant leaps in logic for the assignments using python. It was not friendly for someone with no python experience.

By Prasad K

•

Apr 1, 2019

Not very rigorous course. However, it is OK for an introductory course for non CS students.

By Susan B

•

Jun 17, 2022

Loads of peer-review, Not my favorite, but I see why it is necesssary.

By Vishal K

•

Aug 30, 2020

it was nice But not in deep.

By Baoshun Y

•

Oct 5, 2020

This course is disappointing. It does not provide useful information in the first 3 weeks, and rush to python introduction in the lask week without enough excise and clarification.

By Praveenkumar M

•

Jul 7, 2023

a. The course needs more examples real-time

b. This course is fit for the technical people who writes coding.

c. non-coding people - this course is a greek and latin for you

By Valentine S

•

Jul 3, 2023

Super helpful topic, but expect to spend way more time than advertised on some of these assignments, depending on your level of knowledge. Not a simple course to complete.

By Ryan L

•

Aug 1, 2019

Terrible. Too many bugs in the autograder. Need more specific guidelines for submission in section 4.8

By Jaden

•

May 31, 2019

Boring, not application based.

How this help me on the job?

By 김승운

•

Mar 10, 2021

4주차 과제가 너무 어려웠어요