Principles of Computing (Part 1)
This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment...
By Scott Rixner on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Principles of Computing (Part 1) cost?
Visit the Principles of Computing (Part 1) course page for current pricing and available discounts.
Who teaches Principles of Computing (Part 1)?
Principles of Computing (Part 1) is taught by Scott Rixner, Rice University.
What skill level is Principles of Computing (Part 1) for?
This course is designed for beginner learners.
Similar Courses
HTML & CSS Coding for Beginners: Build your own portfolio!
Chris Dixon
Maya for Beginners: Animation
Lucas Ridley
JavaScript for Beginners (includes 6+ real life projects)
Kalob Taulien
Beginner Bootstrap 4: Hand code beautiful responsive websites fast
Chris Dixon