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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....

6 de may. de 2019

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

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

Acerca del Curso

Principales reseñas

51 - 75 de 88 revisiones para Principles of Computing (Part 1)

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Principales cursos en línea

Principales especializaciones en línea

Certificados en linea

Programas de titulación en línea

Coursera

Comunidad

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