The course was excellent and challenging. The teachers were outstanding and explained all the concepts clearly. Since they cover Python only in week 4, you could need to search for other sources to practice, but that is normal, especially if you do not have experience with programming. As a small recommendation, I would have liked more questions in the quizzes. If you want to continue learning more about Python, I advise you to take the course: "Learn to Program: The Fundamentals" by the University of Toronto, also here on Coursera. It would be a great complement.

I really enjoyed the course; however, I feel the last module (week 4 / phyton) does not have enough explanations and examples in order to properly complete the assignments. I had to research on my own and complete phyton trainings at other sites in order to successfully complete the projects. Thanks for the course and I look forward to applying to MCIT.

Great course! The python in week 4 can be incredibly challenging to those who have no prior experince in coding. There are times that it felt like the course didn't properly cover certain functions or code that would have made the assignments much easier. However, the overall instruction and semi-gentile emersion into computer science are excellent.

Finally Professors that know how to teach over video. Easy to digest examples, study cases with cc explaining how the voice over relates to the theory. It seems the University of Penn has entered the online course market to make a difference.

I really enjoyed this course and fully understood the concepts that were covered in this course. I would recommend this course to people who new to Computer science and want an understanding of Algorithms and Computation thinking.

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.

Content was very fluid and easy to follow, yet challenging enough to give my brain a work out. It helped to introduce me to the proper framework needed to further pursue computer science as a study.

A really well-taught course by astute professors. Its assignments are to the point and not much abstract with good amount of challenging questions especially the last module of the course

Course content is good, graded assignments are good, I just had problems with my assignments in week 4 as I easily became confused with the implementation of all the lessons combined.

An excellent bridge into introductory computer science topics. Professors Susan Davidson and Chris Murphy exposed learners to computer science concepts within everyday problems.

Thoroughly enjoyed the course. If you are new to computer science or need a refresher of the basic concepts you learned in high school / college, this is the perfect course

Fun but be ready for week 4. It is where the programming begins and I found it to be the most challenging week!

Enjoyed the learning and the structure of the course. Felt like I got a good introduction to Python. Learned a bunch about algorithms. I marked a star off because the online grading sometimes was vague. Additionally, it took a while to get feedback. I had a bit of programming experience, so I didn't have a huge challenge, but I can imagine if you are totally new, the assignments are really hard. It would be difficult to get the help and feedback that you need on their online forum system.

the auto-grader for programming assignments can be a bit unforgiving at times, but the course is challenging and thorough for a month-long course. Would recommend. To improve experience with the auto grader some more hints in the assignment page could help, for example offering some explanation of the return function before, rather than after, a quiz that required its use.

Videos are well explained yet in certain assignments some stuff may not have been explained. Overall a great course that I would suggest for those who have dabbled in python already. But if you are new, I would suggest you to get ready cause this course will make you work!

Course fundamentals were great. The Python work wasn't too hard, but I did find the final assignment frustratingly unclear (which is ironic given that it's threaded throughout the course). Problem sets need to be refined for clarity, but good ideas.

The course is great. I learned a lot. The support for the course is SUPER slow. It's hard to get any direct help for any questions or issues that you are having. Beware of assignment 4.7!

Great! I learned the value of planning before coding. However, I would like this course to be more challenging.

could benefit from more active assistance with assignments, especially section 4

The content is good. But it's hard to get feedback from TA.

This was definitely a very frustrating course. Most, if not all, assignments were not built on the video lectures. The phrasing of questions and instructions were confusing at times. I think the most frustrating thing of all was the time it took me to google all the "knowledge" that were necessary to complete the assignments, because they were not taught in the course at all. This was an introductory course to see if I would like the Master's degree that they are offering, but after this course, I don't think I would enjoy it. I think it is a good course, but there is definitely room for improvement.

Very valuable information in this course. The first 3 weeks were instructional and pretty easy going. Once the Python section hits in week 4, it gets a lot more difficult. Don't expect help from Discussion Boards or Teacher's Assistance; they won't respond for at least a week. As with other reviewers on here, I spent hours on the last few assignments in week 4, sometimes searching online forums and seeking help elsewhere.

week 4 is impossible to complete with the knowledge they provide.The first three weeks were nice

This course requires some significant experience using Python programming, which is required when you reach the last section of the course. You will need several days or a week to learn Python and that may be beyond what you had planned in terms of time commitment. Also, the instructional videos are very very rudimentary, but the quizzes require more detail info that you will need to get from other internet sources, like re-learning math logarithms. >>>>Please credit my account, the course is poorly designed.

The last week of coding projects were well above what was taught in the course. The other weeks answers to the quizzes and projects could be understood through watching videos provided. The coding projects required more research outside of the class and I also needed two different tutors. I would not recommend this course or any other course through university of Penn solely based on this experience. I did reach out to a TA and received a response within 12 hours.