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Opiniones y comentarios de aprendices correspondientes a Principles of Computing (Part 2) por parte de Universidad Rice

4.8
278 calificaciones
43 revisiones

Acerca del Curso

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games. In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems....

Principales revisiones

IB

Jun 12, 2017

Phew, this course was much harder than the preceding courses. Some assignments took many hours of work over several days. But it's doable, and well worth it.

RH

Feb 25, 2019

Great course, I hope for more of this kind of courses. Invaluable skills gained from this course. High praise to all the professors. Thank You Very Much.

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1 - 25 de 42 revisiones para Principles of Computing (Part 2)

por Alex M

Jan 13, 2017

If I wanted to learn programming from scratch, I'd take this specialization. They are great teachers and the recursion section was extremely helpful.

por Aynur Z

Dec 28, 2017

Excellent course. I tried several similar courses on Edx and Coursera platforms and found this as the most efficient. The lectures are clearly stated and always accompanied by reading material, which makes it easy to repeat the material.

Practical tasks are very interesting and help to develop practical skills.

It is a wonderful opportunity to learn Python and fundamentals of computing. I highly recommend this course to everyone interested in this subject.

por Max B

Mar 04, 2019

Great continuation of part 1, with a bit more "true" computer science techniques taught. Challenging (but fun) projects each week. Make sure you put some effort into the practice activities each week. These will help you understand the weekly material better and prepare you for both the homework and projects. two thumbs up!

por Jeremy L

Feb 23, 2018

I came to PoC Part 2 via Rice's IIPP courses and PoC Part 1. The PoC series is a step up in difficulty from IIPP. The homework assignments usually took me several hours to complete and the mini-projects all took around 10 hours (maybe more) to complete. If you have lots of programming experience, I expect the mini-project would take you less time, at least once you've conceptualized how to solve the problem/project. And it is this thinking - rather than programming - that is the main thing the instructors want students to take away from this course. In other words, this is not an intermediate Python course. But it is a great class. You'll get an introduction to searches, data structures, recursion, trees, and how to test your software. And like IIPP, the mini-projects are based a fun games.

por Ian B

Jun 12, 2017

Phew, this course was much harder than the preceding courses. Some assignments took many hours of work over several days. But it's doable, and well worth it.

por Daniel C K

Sep 16, 2017

A rigorous, but short, computer science course. The projects for this class took widely differing amounts of time to complete. Some, I could do in a few hours. The more difficult ones, like the final project, took me days of thinking and coding to do. I highly recommend it, though. By the end, you'll be a much better programmer.

por Jordi C

Apr 14, 2017

I have passed now the 4 first courses of the Fundamentals of Computing Specialisation and I have to say that I am very grateful to the instructors for the amount of new knowledge I got from working on this courses.

At first I my aim on taking this courses was just to learn Python, but now I can see how much deeper the scope of this course is. I have learned so much more than just the syntax and grammar of a programming language. I have just started grasping the way information can be organised and searched.

I have to say the 2 parts course Principles of Computing is not easy. The difficulty escalates exponentially as we move forward. You will need time to pass the projects and tests. Take it with calmly and seriously. Its worth it.

A big thank you to the instructors for their efforts on making the learning way entertaining. Even just by trying to be funny you guys made it enjoyable.

Highly recommended.

por Rudy H

Feb 25, 2019

Great course, I hope for more of this kind of courses. Invaluable skills gained from this course. High praise to all the professors. Thank You Very Much.

por Roberto M P F M

Mar 29, 2019

Great course! Each course is getting more challenging, and the way it is taught is simply great. It is easy to follow and still makes you think a lot. It is really rewarding finishing the mini-projects.

por Dinghan X

Feb 08, 2019

the last week is really challenging but l like it

por Andrew F

Dec 08, 2017

Another fantastic course from the team at Rice University. The coursework is interesting and challenging, and I really feel I have learned a lot.

por A&Tower

May 17, 2016

I love you teaching staffs!!!!!!!!!!!!!!

por Hassan B

Jun 24, 2017

Although the hardness of the course compared to the precedent ones in the specialization but it was worth the effort , like the professors have said difficult but funny, five stars , keep the good materials.

Hassan Bouchaala

por Krishna

Apr 29, 2017

Excellent course!!! Choice of mini projects to apply the concepts we learnt was awesome. Excellent course structure, instructors, materials and everything. Loved every part of this course. Thanks for such wonderful course.

por Albert C G

Oct 17, 2017

Great Course - learned a lot - Great Projects

por Adel F

Oct 17, 2017

Learned lots! One year down the line I was asked at a job interview about my past experience in python and gave this!

por Hefu H

Jun 18, 2017

I think the content of the course is very good. But I also feel that the last homework is a bit of difficult as some crucial parts of guidance is not given. It took me too much time to figure out the tile-moving helper function.

por Julian O

Mar 08, 2018

Another entertaining and great course in the series with really well-designed and engaging projects.

I am getting sad I'm running out of courses to take from Rixner, Warren, et al. They are superb.

CodeSkuptor and OwlTest are really easy to use and handy tools (although I've had some issues with OwlTest not working all of the time).

por Sangil Y

Jun 10, 2018

projects are tough at least for me it was but once you finish all the project, that rewarding feeling is just awesome

por Jaehwi C

Nov 04, 2017

The best course to study computer science for beginner!

por Siwei L

Dec 09, 2017

very helpful course, the projects are challenging but interesting to work on!

por matteo

Aug 28, 2017

Nice course.

por ravindranadh g

Apr 17, 2017

excellent course to improve logic skills of programming

por Arthur-Lance

Jun 22, 2017

i feel powerful !!! :)

por RAVI R

Jul 02, 2017

Must have course to build foundation on computational thinking.