Current course offerings

Please Note: Course profiles marked as not available may still be in development.

Course description

This course is designed to build a students understanding of programming, software architecture, and general software development in the context of mathematical, numerical, symbolic, statistical, and machine learning applications. Students will learn the basic elements of software development in the context of mathematics and data-science using a scientific programming language like the Julia language, and also using tools such as git, Unix, and Integrated Development Environments (IDEs). The course teaches students to implement algorithms from numerical mathematics, symbolic mathematics, simulation, and machine learning, all using solid software development practices that allow for organised maintainable and extendable software.

Archived offerings