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

4.7
stars
1,404 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

J

Dec 18, 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

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.

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426 - 450 of 471 Reviews for Computational Thinking for Problem Solving

By Fehmi H

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Nov 2, 2024

4 bölümde verilen örnekler ile ödevde istenen arasında çok büyük fark var.

By Hsu E

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Sep 26, 2022

The course itself is great, but just too many peers review assignments.

By George W

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Aug 11, 2022

Auto grader is too sensitive to small changes in the correct output

By Tom F

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Jun 26, 2020

Great introduction to computational thinking and coding.

By Sun T

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Nov 5, 2019

The auto-grade assignment in Week 4 should be improved.

By Atharva P

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Dec 22, 2023

very good!!!!!! I learned a lot from this course...

By GANDIKOTA R

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Sep 5, 2021

Very good for good learners and beginers

By Nirvan

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May 11, 2020

The last assignment had a few bugs

By Praveen K

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Jul 7, 2020

The practice task is not enough.

By ank j

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Jul 28, 2020

Very educational. Thank you

By chao w

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Dec 25, 2019

great way to start with

By Kenny P

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Sep 15, 2020

it was interesting

By DIYABEN P

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Sep 3, 2021

good experience

By Thắng T T

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Apr 29, 2022

so good

By Yash S

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Dec 6, 2023

Good

By Dinesh K

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May 23, 2023

good

By MARAM N R

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Sep 13, 2021

good

By Venkata S R T

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Sep 9, 2021

4

By Google C

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Nov 12, 2022

The knowledge and skills this course covers and presents learners are powerful and very useful, meaningful and valuable, however, understanding and progressing through the course take far longer then it should and the course material is excessively theoretical, abstract and difficult to grasp, in particular for learners whom are beginners in the python language.

Phenomenal and high standard and quality delivery, but the explanations for learners should be deeper, more detailed and greater to the extent that they can easily follow along. Chanllenges are crucial and helpful, but not if they cause students to lose their motivation and hope in the process.

The course should focus more on explaining the principles more clearly and in a beginner friendly manner. Theoty is vital for understanding the concepts from an abstract view, but then it should be illustrated in a easy method how to apply and implement it, otherwise if learners only know the theory, but can't apply it, it has no point in the real-world.

Good course lecturers and solid principles, but i wish they used an easier and more "friendly" approach to explaining the academic material.

By Uzair I

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Sep 8, 2022

Few courses teach computational thinking sub-skills as explicitly as this one does. That's the good part about this course, because any good computer scientist should have an understanding of the cognitive skills involved in doing their work.

Overall, the pace of the course was good, but I felt the assignments were either a little lackluster, or would drop information that you'd need more background knowledge to solve. For example, there were some questions in this course that I would not have been able to do well on, had I not already taken Calculus-2 and some proof-writing in university.

I appreciate that the instructors probably put that material in to expose students to the wonders of discrete mathematics. At the same time, I wonder if it might be too early for that material, and if students will be better served doing some moderately difficult algorithm design instead.

By Christy S

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Jun 10, 2022

This course was worth taking and I learn a lot. However, it was advertized for users of all levels. The python portion of the course moves at a pace that is extremely difficult to keep up with. I thought that I just wasn't getting the material but after using a python book recommended by a friend, I realized that this course moves at an extremely fast pace, and it seems that you need some kind of programming background to be able to complete it. I had to use a book, internet searches, and get tutoring in order to do some of the assignments. This course was way more difficult than I expected for an entry-level course.

By Jess

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Jul 8, 2021

The first three weeks were very well presented and instructed. It was challenging and interesting for me (I don't have a computer science background). However, the pace and level of difficulty are accelerated in Week 4. You're expected to go from having no Python knowledge to being able to solve multiple-step programming assignments which the videos give a cursory explanation to. The videos would probably be sufficient for someone who already has a strong Python or programming background.

By Alexander M

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Jun 19, 2021

The first 3 weeks of the course are very enlightening for someone new to computer science, but the fourth week of the course suffers from a significant difficulty spike when trying to answer questions involving python programming. Issues include expecting the learner to know concepts not mentioned in videos and a lack of help with python programming questions.

By Juancarlos D

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Apr 18, 2023

Assignment instructions are so convuluted that they cause more confusion than provide clear or understandable instructions. (must be revised)

By Diana B

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Apr 23, 2023

+ interesting introduintroduction to Computer thinking

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