subject
Intro

edX: Introduction to Computing using Python

 with  David Joyner
Sponsored
Data Analytics Certificate
Cornell University via eCornell

In this computer science course, you will learn about foundational computing principles, such as how to write and read computer code and how to run and debug code.

You will learn about programming concepts in Python and how they demonstrate computing principles and domain applications that use programming concepts and computing principles in real applications.

The course will also cover:

  • procedural programming
  • control structures
  • data structures
  • advanced topics in algorithms and object-oriented programming

This course builds on a custom textbook written for the class and online course delivery and provides ample interaction and formative evaluation. The course teaches both the theory and implementation of core computing concepts in a highly interactive, multi-modal manner.

Syllabus

Unit 1: Computing
In this unit, we'll cover the basics of computing: what it means to write computer code, how to read computer code, and what it means to run and debug code.

Unit 2: Procedural Programming
In this unit, we'll cover the basic paradigm of programming, procedural programming. In procedural programming, series of commands are executed in order. Here, we'll discuss variables, logical operators, and mathematical operators.

Unit 3: Control Structures
In this unit, we'll cover control structures, which are lines of code that control when other lines of code run. We'll cover conditionals, loops, functions, and error handling.

Unit 4: Data Structures
In this unit, we'll cover how data is structure to be operated upon by a computer. Specifically, we'll focus on structures that bring together multiple different pieces of data, like strings, lists, dictionaries, and file input and output.

Unit 5: Advanced Topics
In this unit, we'll preview the next topics in computing: object-oriented programming and computer algorithms.
2 Student
reviews
Cost Free Online Course
Pace Self Paced
Provider edX
Language English
Certificates $99 Certificate Available
Hours 10 hours a week
Calendar 53 weeks long

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What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

2 reviews for edX's Introduction to Computing using Python

Write a review
9 months ago
Nhi Tran is taking this course right now.
This course is an excellent gentle introduction to computing for absolute beginners. All important concepts are explained clearly and succinctly, with easy-to-understand examples from everyday life. The lectures and smart book chapters are accompanied by plenty of exercises and problem sets to check understanding and Read More
This course is an excellent gentle introduction to computing for absolute beginners. All important concepts are explained clearly and succinctly, with easy-to-understand examples from everyday life. The lectures and smart book chapters are accompanied by plenty of exercises and problem sets to check understanding and to reinforce important concepts and procedures. The pace is moderate and easy to follow. Exercises and problems only require the knowledge provided in the lectures and/or the smart book (This is in contrast to some other introductory courses where there are wide gaps between the materials in the lectures/books and the knowledge required to do the exercises). I hope that this course will be followed by more advance courses with the same philosophy and approach to teaching.
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2 weeks ago
Spalthoff Daniel completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
This course is really great, especially if you are new to coding or to Python. It advances very slowly, with a lot of practice in Python, and it's really fun! I'm actually sad it's over, and I'm looking for the next Python course.
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