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Opiniones y comentarios de aprendices correspondientes a Principles of Computing (Part 1) por parte de Universidad Rice

4.8
450 calificaciones
73 revisiones

Acerca del Curso

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....

Principales revisiones

SN

May 07, 2019

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

JH

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 de 69 revisiones para Principles of Computing (Part 1)

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 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.

por 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.

por 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.

por Rudy H

Feb 14, 2019

Great course, gets very tough but worth it.

por 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.

por Frank V

Feb 28, 2019

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

por Jesús A P T

Mar 06, 2019

Excelente curso

por Milos P

Aug 05, 2018

Overall, another great course in the sequence!

por James B

Aug 07, 2018

Challenging, rewarding, well-designed.

por AN-HUNG ( T

Sep 10, 2018

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

por Rita I G

Sep 29, 2018

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

por ankush k

May 20, 2018

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

por Jason M

Apr 06, 2016

Amazing. Way better than my community college CS courses.

por Ugo N

Oct 24, 2017

Very challenging and interesting so far. I'm only in the second week!

por Ivana L

Sep 29, 2017

Very well structured course. The concepts are explained in detail, the videos are of great quality. The assignmenets give good mix of challenge together with not being overly difficult and discouraging. One of the best courses I've ever had.

por Ian B

Jun 12, 2017

Yay, no more peer grading! This course felt easier than intro2. Less fiddling with your programs and more about concepts.

por Sergey V

Jun 12, 2017

Nice and challenging!

por Hanqi Z

Jul 18, 2017

Another fascinating course by Rice.

por Tsz W K

Jun 28, 2017

Really great!

por Ashiti K

Sep 09, 2017

This specialization is helping me improve a lot.

por pierre j

Nov 12, 2016

Great as usual.

por DAVID P P

Apr 30, 2017

Really great course, understanding deeper some principles of computing. Great staff too.

por Stephen J W

Apr 04, 2018

Yet another brilliant course in a brilliant specialization. On to part 2!

por Atreyee D

Dec 21, 2017

Awesome assignments!