Principles of Computing (Part 2) Coursera

Overview

Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems.  To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects 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 2 of this Principles of Computing (Part 2) course offered by Coursera in partnership with Rice University, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming.  This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms.  Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.

Skills You Will Gain

• Recursion
• Algorithms
• Python Programming
• Tree (Data Structure)