Excellent course. The instructors are really knowledgable and provided many excellent examples that relates to real life examples. The approach to learning Python was great - I was surprised at how quickly I could program and quite interested in learning more programming. In addition to working on a project throughout the course, the case studies were awesome - interesting and helpful.

I am so thankful for this class! I cannot believe how much I have learned in such a short amount of time. Prior to this class, I would look at problems and become so overwhelmed and have absolutely no idea where to begin. This class has given me the ability to break the problem down into smaller problems, solve those problems, and then bring it all back together again. Thank you so much!

The course content is really great. It's kind of a crash course of all the parts of a problem-solving in computational thinking. I was surprised that this course content included analyzing algorithms as well in such a short time. That's great! The instructors explained many concepts clearly. I recommend this course since everyone needs to think in a computational way in today's world.

This is an excellent course for beginners. As a beginner, I appreciated the focus on fundamentals before tackling programming projects. The Python exercises were particularly helpful to me as a beginner: they illustrated the fundamentals and gave me great practice with computational thinking and debugging. I also appreciate the course's emphasis on real-life applications of computing.

The course offers me a taste of computer science. By studying the course, I can improve my problem solving skills by adopting a structured method. In addition, the course gave me experience of programming in python, a popular language at present. I highly recommend this course to people who are not familiar with programming and want to learn more knowledge in this field.

What a great introduction to Computer Science. I've been a programmer for a couple of years and know Python pretty well. This course was helpful for understanding the more fundamental concepts I experience every day, e.g. sorting lists. Most of Python logic is abstracted away from the user so it's great to take this course to see what's under the hood.

I've taken multiple Coursera courses, and this one is *extremely* well-done and very, very professional. The production of videos is very high (even kind of artistic?), the assignments/prompts are applied to real-world scenarios (and are also used as a string throughout the entirety of the course), and the instruction is organized, concise, and clear.

Extremely useful foundation course for anyone considering Computer Science as a career. The learnings from this course are applicable for further studies and for real world computation problems. Thanks for taking the efforts to compile this course. This course motivated me to enrol in MCIT and looking forward to the courses in the masters degree.

I think this is a great course to take if you are considering getting into the world of coding. It teaches you how to think and approach problems from a computer science point of view. The progression of the material is well thought out and they use plenty of common, everyday examples to demonstrate what you are learning. Definitely recommend!!

Great course! Very engaging - can't wait to take more computational courses. Very gentle introduction to high-level computational thinking. Ramps up a bit in difficulty by Week 4, and requires twice as much time as previous weeks (mostly on coding and debugging).

Jennifer Yen (TA) was very helpful with fixing a bug in my code. Thank you!

This course was very informative. It starts off with more general strategies about problem-solving in general, and as the course develops, it becomes apparent how these relate to computing. Each segment builds upon the information presented in the previous so that at the end it makes sense why the solutions presented are what they are.

If there is one thing I learned from this course it is that learning how to code does not always mean thinking computationally. Practically speaking, this course has content that can be applicable from day one. If you are interested in knowing how the story began or understand programming from the roots, this is the place to start.

This was an excellent course. I thoroughly enjoyed the real-world examples, and ample opportunities to practice and test each module. I learned a tremendous amount, and would recommend this course for anyone interested in logical thinking and problem solving; not just for science, but in many other areas of academics, and life!

Computational Thinking for Problem Solving, provided by Upenn, is one of the best courses I've taken on Coursera. Everything from lecture notes, presentations and exercises is well designed, especially lectures. Both of them are excellent in teaching. I hope that they will provide more similar courses like this in the future.

Great course. Very well structured and articulated which makes it easy for a beginner to grasp. I highly recommend doing this course first before getting into any beginner programming course as it teaches the thought process behind thinking computationally before you get into the weeds of a specific programming language.

As a non-computing student, I think this course is one of the best I have taken so far. The professors were really clear in explaining and talking about the concepts. What I love most are the assignments that are present in almost after every lesson and really solidified my understanding of the concepts. Well done!

I enjoyed the course tremendously. The course helps one approach problems methodically. I highly recommend it for anyone who wishes to begin learning programming and/ or simply acquire basic skills in algorithm design, analysis and implementation. Material is presented in easy to follow and interesting ways.

I was happy with this course. Lots of great content and challenges. For the Python programming part, which is week 4, I would have appreciated more study materials and guidance. Also, the course takes longer to complete than estimated. But, in any case thank you UPenn, it was fun, engaging and insightful.

Excellent! Best computational thinking course and introduction to python that I've ever come across. I never imagined I would be able to grasp the concepts of Algorithmic complexity but was finally able to get it and so much more through this course. It covers all the essentials and is very well done.

This course is fantastic! I am taking these courses as a preperation to the Penn MCIT offered through Coursera and this course was a great introduction to the thought process behind writing algorithms. This course also teaches you valuable skills in python that can be applied in everyday scenarios.

This course noticeably expanded my approach to problem solving. I especially like how the courses uses real world problems, and then gives you the conceptual tools to be able to solve these problems on your own. The labs and peer reviews are a great addition to make sure you really know your stuff.

The teachings that i experience here is way too different from Indian online education system .

Coursera is more developed and skill enhancer to the one who is beginner and want to learn with minimum pressure in a different way.

Thanks to Coursera (Computational Thinking for problem solving).

This was a great class to improve analytical thinking and problem-solving skills. I enjoyed the opportunity to learn a new logical way to see the world and to rewire my thinking process. Thank you for a compelling and engaging class. I look forward to keeping learning about computer science.

An amazing course that teach the way of computational thinking behind our works of programming. It may not be the best and absolute way to analyze for every problems and difficulties, but at least it provide a way which how we use this sort of thinking to simplify and focus on the problems.

Very well thought-out course. I have some experience with Python from other courses which definitely helped, but I found this course very interesting in 'stepping back & seeing the bigger picture' i.e. how to think about problems using algorithms. Highly recommended, I learnt lots.