Les infos clés
En résumé
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.
Le programme
- Week 1 - Required Python knowledge, coding standards, and machine grading
This week, we will introduce you to the structure and standards of the Principles of Computing courses. - Week 2 - Testing, plotting, and grids
This week, we will explain the importance of testing. We will also learn to solve problems with grids. - Week 3 - Probability, randomness, and objects/references
This we will learn how to use probability and randomness to solve problems. - Week 4 - Combinatorics, generators, and debugging
This week, we will learn how to use combinatorics to solve problems. - Week 5 - Counting, growth of functions, higher-order functions
This week, we will explain the importance of counting in solving complex problems.
Les intervenants
Scott Rixner
Professor
Computer Science
Joe Warren
Professor
Computer Science
Luay Nakhleh
Associate Professor
Computer Science; Biochemistry and Cell Biology
Le concepteur
Rice University est une université de recherche américaine privée, située à Houston (Texas). Elle se trouve dans le Museum District de la ville et est adjacente au Texas Medical Center. Elle a été fondée par William Marsh Rice (en) en 1891 sous le nom The William Marsh Rice Institute for the Advancement of Letters, Science, and Art, et a été inaugurée en 1912 avec Edgar Odell Lovett pour premier président.
La plateforme
Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.
Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.
