Principles of Computing (Part 1)

Course
en
English
50 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

  • 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.

Prerequisite

None.

Instructors

Scott Rixner
Professor
Computer Science

Joe Warren
Professor
Computer Science

Luay Nakhleh
Associate Professor
Computer Science; Biochemistry and Cell Biology

Editor

Rice University is a private American research university located in Houston, Texas. It is located in the city's Museum District and is adjacent to the Texas Medical Center. It was founded by William Marsh Rice (en) in 1891 as The William Marsh Rice Institute for the Advancement of Letters, Science, and Art, and was inaugurated in 1912 with Edgar Odell Lovett as its first president.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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