This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.
This course is part of the Fundamentals of Computing Specialization
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Offered By
Fundamentals of Computing SpecializationRice UniversityAbout this Course
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Flexible deadlines
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Shareable Certificate
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Course 1 of 7 in the
Approx. 19 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, English, Spanish
Skills you will gain
- Programming Principles
- Python Syntax And Semantics
- Computer Programming
- Python Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 7 in the
Approx. 19 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, English, Spanish
Offered by
Rice University
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Syllabus - What you will learn from this course
3 hours to complete
Week 0 - Statements, expressions, variables
Understand the structure of this class, explore Python as a calculator
3 hours to complete
6 videos (Total 71 min), 4 readings, 2 quizzes
4 hours to complete
Week 1 - Functions, logic, conditionals
Learn the basic constructs of Python programming, create a program that plays a variant of Rock-Paper-Scissors
4 hours to complete
7 videos (Total 98 min), 5 readings, 2 quizzes
4 hours to complete
Week 2 - Event-driven programming, local/global variables
Learn the basics of event-driven programming, understand difference between local and global variables, create an interactive program that plays a simple guessing game
4 hours to complete
8 videos (Total 83 min), 5 readings, 3 quizzes
4 hours to complete
Week 3 - Canvas, drawing, timers
Create a canvas in Python, learn how to draw on the canvas, create a digital stopwatch
4 hours to complete
7 videos (Total 71 min), 4 readings, 3 quizzes
Reviews
- 5 stars86.41%
- 4 stars10%
- 3 stars2.15%
- 2 stars0.31%
- 1 star1.10%
TOP REVIEWS FROM AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)
by VMJul 20, 2020
I loved how this course teaches back-end as well as front-end design in unison; it helps the learner visualize their code in action and sets up a strong foundation for more advanced concepts!
by CDJul 12, 2017
It was nice beginner course for the new programming to learn programming and practice the concepts with most intuitive way, the way is to build a game and that interests anyone who takes this course.
by JTOct 8, 2018
A great intro that puts the topic into achievable steps! I have a mechanical engineering background and I found it to be straightforward. The professors do a good job of making it fun and enjoyable.
by YYDec 10, 2016
like it. like the mini project a lot. it really helps you build up what you have learned and put it into practice. and also it benefits a lot from examine other peers assignment.
About the Fundamentals of Computing Specialization
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
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