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.
Principles of Computing (Part 1)
This course is part of Fundamentals of Computing Specialization
Taught in English
Some content may not be translated
Instructors: Scott Rixner
Sponsored by University of Virginia
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There are 5 modules in this course
This week, we will introduce you to the structure and standards of the Principles of Computing courses.
What's included
10 videos9 readings1 quiz2 app items
This week, we will explain the importance of testing. We will also learn to solve problems with grids.
What's included
5 videos4 readings1 quiz1 app item
This we will learn how to use probability and randomness to solve problems.
What's included
6 videos6 readings1 quiz1 app item
This week, we will learn how to use combinatorics to solve problems.
What's included
6 videos5 readings1 quiz1 app item
This week, we will explain the importance of counting in solving complex problems.
What's included
6 videos7 readings1 quiz1 app item
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