About this subject

In our highly-automated modern world computer programming governs the interaction between humans and machines. This course provides a technical introduction to the fundamentals of computer programming, focusing on scientific computing with the specific use case of video game programming, a booming industry now worth more than $150 billion annually.

This course will teach you to produce clear, robust code, and to develop techniques for effective testing and debugging of code. In this course we will cover a significant portion of the Python programming language, including its standard libraries and programming paradigms. Putting these skills to use in game programming projects ensures that fun and creativity are never lost in the process. You will use increasingly advanced animations and graphics as the course progresses so that by the conclusion of the course you will be able to produce fully functioning animated games in the Python programming language.

Learning outcomes

After studying this subject you will have practical understanding of the Python programming language, including:

  • Sequential, conditional, and loop statements.
  • Strings, lists, tuples, sets, and dictionaries.
  • Object-Oriented Programming.
  • Recursive approaches.
  • Graphics.

You will be able to use Python Programming for medium complexity problems in scientific computing, including:

  • Writing codes for basic games in Python.
  • Developing classic games like Snake or Tetris.
  • Developing a game of their choice, such as a basic driving game.

Who is this subject suitable for?

This subject would suit STEM students in undergraduate or entry-level postgraduate study. A confident level of computer literacy is required but prior knowledge of computer programming is not required.

Teaching faculty

Dr Naeemullah Khan is a Research Fellow at Lady Margaret Hall and a Postdoctoral Research Scientist at the Department of Engineering, University of Oxford.

Dates and availability

This subject is available as a residential programme:

Session Two: 17th July 2022 to 6th August 2022

This subject is available as an online programme:

Session Two: 18th July 2022 to 5th August 2022

Expand your programme

You can expand your programme by taking more than one subject.

We recommend combining this subject with:

Artificial Intelligence and Machine Learning

Apply now

Find out more about the admissions criteria, programme fees, and how to apply.

Get in touch

If you have any questions, or would like to know more, please do get in touch here.