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)
Principles of Computing (Part 1)
This course is part of Fundamentals of Computing Specialization
Instructors: Scott Rixner
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4.7
(582 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 18 hours
Learn at your own pace
94%
Most learners liked this course
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Assessments
5 assignments
Taught in English
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This course is part of the Fundamentals of Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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 assignment2 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 assignment1 app item
This we will learn how to use probability and randomness to solve problems.
What's included
6 videos6 readings1 assignment1 app item
This week, we will learn how to use combinatorics to solve problems.
What's included
6 videos5 readings1 assignment1 app item
This week, we will explain the importance of counting in solving complex problems.
What's included
6 videos7 readings1 assignment1 app item
Instructors
Instructor ratings
4.9 (22 ratings)Offered by
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4.7
582 reviews
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2.91%
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Showing 3 of 582
KK
5
Reviewed on Oct 29, 2017
definitely gets you thinking the right way about programming (math, algorithms, efficiency, etc.
GM
5
Reviewed on Jan 15, 2021
Was really good! Substantially more difficult than than the first two classes.
IB
5
Reviewed on Jun 12, 2017
Yay, no more peer grading! This course felt easier than intro2. Less fiddling with your programs and more about concepts.
Recommended if you're interested in Computer Science
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