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Avis et commentaires pour l'étudiant pour Principles of Computing (Part 1) par Université de Rice

435 notes
72 avis

À propos du cours

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python 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 1 of this course, the programming aspect of the class will focus on coding standards and testing. The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science. Recommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus....

Meilleurs avis


May 07, 2019

This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.


May 16, 2018

very wellmade assignments! that goes a long way!\n\nplotting seemed a bit superflous and not much learned.\n\nThank you professors!

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1 - 25 sur 69 Examens pour Principles of Computing (Part 1)

par Jeremy L

Feb 07, 2018

I'll start by saying that PoC Part 1 is a good course. I took it after completing IIPP Parts 1 and 2. If you are coming from IIPP, you'll find the organization of PoC familiar: there are weekly lectures, a few practice problems, a quiz, and a mini-project. I found this course far more difficult than either of IIPP offerings. In part this is unavoidable since the concepts are more complex and the problems students are asked to solve are correspondingly more challenging. The course introduces various mathematical/statistical concepts that are useful in programming. I had to spend time elsewhere online reviewing these concepts. If you are not familiar with the concepts, I suspect you'll have to do the same as the professors spend little time explaining them. As for the coding: if you took IIPP, you'll know that the professors provided a step-by-step guide for the mini-projects. For the most part, these guides have been jettisoned in PoC. Unless you have programming experience beyond IIPP, you'll likely have a hard time writing the required programs. The only programming experience I had was IIPP, and I found the programming problems in PoC difficult. But at the same time I am a much better programmer now because I was forced to learn lots of stuff on my own in order to get my mini-projects right (I spent lots of time on coding forums and reading through the official Python documentation). If you take PoC after IIPP, you'll also find that the quizzes (now called homework) may well take a considerable amount of time to complete when compared to IIPP. One annoying thing on these quizzes is the "test case" question at the end: the professors ask students to find test cases to check for bugs in various programs. This is doubtless an important skill, but they spent almost no time discussing methods for developing test cases, and if you get the question wrong on the quiz, you'll never know what the correct answer is and hence you don't really learn much from your mistake. Overall, I learned a lot and enjoyed the projects. As I say, PoC is more challenging than IIPP. I enjoyed the class enough that I've just enrolled in PoC Part 2.

par 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.

par Peyman P

Dec 18, 2017

You may have felt pretty good about your coding skills after finishing IIPP, the pre-requisite to this course. Get ready for a big dose of humility in this course. You will do a whole lot more thinking to produce fewer lines of code. You will come out of this course a more thoughtful programmer and will be writing code that is better-structured and more efficient than what you were used to. The path to this end is not an easy one. Bring along plenty of patience and be ready to let your mind explore.

The instructors make a distinction between computer scientists and coders. If you are planning to pursue a formal education or career in computer science , you will find this course indispensable. If you are a hobbyist-coder, there will be times when you will question why you are continuing with this course. Hang in there. The intellectual reward alone will make it worthwhile.

par Bakhmai B

May 29, 2019


par Saksham N

May 07, 2019

This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.

par Subhrosil M

Apr 05, 2019

Challenging, yet enjoyable course.

par Sambhav J

Apr 03, 2019

Great Course

par Jesús A P T

Mar 06, 2019

Excelente curso

par Frank V

Feb 28, 2019

Very good course, with challenging projects. These projects help you also to improve your Python skills.

par Maksim U

Feb 22, 2019

I have never had any programing experience before taking this specialization from Rice. I love it! At times I have troubles doing things from the first time, but I never get stuck forever and still learn a lot. It is a bit on the difficult side for me(with zero knowledge before the previous courses), but I enjoy it.

par Rudy H

Feb 14, 2019

Great course, gets very tough but worth it.

par Abirvab D

Dec 27, 2018

Definitely one of the best courses I have taken introducing Computer Science fundamentals while using Python as the language of choice. I highly recommend to anyone looking to learn CS concepts while picking up a very popular higher level language.

par Rita I G

Sep 29, 2018

Funny, difficult and well structured, at the same time.

par Alejo G O

Sep 12, 2018

Very interesting to expand the ways to solve a problem.

par AN-HUNG ( T

Sep 10, 2018

Amazing course. Spend lots of time thinking how to code in Python Lol

par Mark K

Aug 23, 2018

I feel as though the class lectures are very easy to follow however the homework/mini projects are very difficult to implement. After taking this course I feel discouraged and question my ability to learn and understand Python.

par James B

Aug 07, 2018

Challenging, rewarding, well-designed.

par Milos P

Aug 05, 2018

Overall, another great course in the sequence!

par 熊华东

Jul 08, 2018

Much harder than "Introduction to Interactive Programming in Python", more frustration and sense of accomplishment. I don't like TEST!

par Amit m

Jul 02, 2018

Very good course, I enjoyed it and love the chemistry/humor among all three professors. . I learned a lot and was exposed to many aspects of programming that as a self-taught programmer didn't know much about. The programming assignments were challenging. I only wish we had solutions to the assignments after the course was over (similar to the EDX platform, so we can see how to implement the solutions much more succinctly.

par Ikseon K

Jun 06, 2018

Excellent courses, but a little difficult to solve the problems completely. Lectures don't cover the problems and homeworks fully. This requires self-driven efforts and research regardless of the lectures. Anyway, it is very useful and meaningful. Thanks!

par Guillermo C

Jun 05, 2018

Great course

par Samer N E

Jun 03, 2018

What makes this course unique is that you write and execute Python code right in your browser - the greatest pedagogical value of this for me is that execution slowed down when my programs became too inefficient. It taught me the importance of efficiency on a small scale, and I became mindful of efficiency early on with further assignments. This is a great habit to pick up early on.

My only trouble with the course is that if one's code is too inefficient, Owltest will not grade the assignment. This becomes very frustrating when you cannot make your program more efficient, and I personally had to resort to intentionally writing malfunctioning code which Owltest would take, for the sole purpose of avoiding a 0.0 grade.

par ankush k

May 20, 2018

Extremely well structured and highly recommended as a beginner course for computer science!

par Jayadev H

May 16, 2018

very wellmade assignments! that goes a long way!

plotting seemed a bit superflous and not much learned.

Thank you professors!