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$79

Principles of Computing (Part 1)

Created by -

Scott Rixner,Joe Warren,Luay Nakhleh
,
Rice University

0.00

(0 ratings)

English

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Overview

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.

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USD 79

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Type: Online

This course includes

  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

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course image

USD 79

provider image

Type: Online

This course includes

  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

Principles of Computing (Part 1)

Created by -

Scott Rixner,Joe Warren,Luay Nakhleh
,
Rice University

0.00

(0 ratings)

All Levels

Start Date: February 23rd 2021

Course Description

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.

The information used on this page is how each course is described on the Coursera platform.

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Scott Rixner,Joe Warren,Luay Nakhleh,Rice University

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