- Online
- $825
This course is part of Introduction to Systematic Program Design in Python.
This introductory programming course focuses on systematic programming methods foundational to writing well-designed programs. The course is taught using Python, a beginner-friendly, versatile programming language.
Through readings, videos, short auto-graded questions and practice programming problems, learn processes for creating well-tested programs that are easy to update in the future. The course concludes with a small project that will allow you to practise and showcase your skills.
You’ll learn how to:
- identify information in a problem domain and represent that information as data in your program
- use examples and tests to decide and document what your program should do
- write small, well-designed and well-tested programs
By the end of this course, you’ll know how to:
- write small programs that are readable, well-organized, well-documented and well-tested
- design the data representation for a reasonably complex problem
- describe the information encoded in given data
- identify the correspondences between a data definition and a program and how changes to a data definition could potentially affect a program.
How am I assessed?
You’re graded on comprehension checks and design self-assessments. Before registering for Intro to Systematic Design in Python Part 2, you need achieve a minimum of 70% in this course.
Expected effort
Plan to spend approximately 10 hours per week completing coursework and assignments. Expect a rigorous and challenging university-level experience with rewarding outcomes.
Technology requirements
To take this course, you should have an email account, internet access and an up-to-date web browser. You’ll also need access to a desktop or laptop computer.
Course format
This course is 100% online and instructor supported. You can join a group chat with your instructors via Zoom during virtual office hours, Wednesdays 5-6pm and Sundays 5-6pm. All times are in the Pacific Time zone.