If you are creating a new learner account between 8am on Saturday 6 June - 8am on Monday 8 June, you might experience delays or difficulties in the process. This is due to an upgrade to a system related to new account creation. We apologise for the inconvenience.
If you are creating a new learner account between 8am on Saturday 6 June - 8am on Monday 8 June, you might experience delays or difficulties in the process. This is due to an upgrade to a system related to new account creation. We apologise for the inconvenience.
If you are creating a new learner account between 8am on Saturday 6 June - 8am on Monday 8 June, you might experience delays or difficulties in the process. This is due to an upgrade to a system related to new account creation. We apologise for the inconvenience.
You will learn about algorithms and abstraction in this free course, Introduction to computational thinking, and encounter some applications of computational thinking in various disciplines, ranging from biology and physics to economics and sport science.
Course learning outcomes
After studying this course, you should be able to:
describe the skills that are involved in computational thinking
define and use the concepts of abstraction as modelling and abstraction as encapsulation
understand the distinctive nature of computational thinking, when compared with engineering and mathematical thinking
be aware of a range of applications of computational thinking in different disciplines.