BSc Physics with Artificial Intelligence

Year 2

(Award available for year: Diploma of Higher Education)

Learning outcomes

Demonstrate knowledge, understanding and application of:

Quantum Mechanics

Statistical Mechanics

Biophysics

Condensed Matter

Electromagnetism

Machine learning for applications in science

Think creatively to solve a problem and deploy complex problem solving techniques.

Deepen your understanding of the laws of nature, from the subatomic to the cosmic.

Ability to model problems and make estimations.

Use coding and mathematical tools to solve physics problems.

Undertake critical evaluation of information and rigorous analysis of data.

Develop your professionalism, including communicating effectively in verbal, written and multimedia formats, and planning and completing work to deadlines.

Work effectively as part of a team.

Be enterprising and be able to identify and realise opportunities.

Ability to evaluate your own strengths and identify areas for development.

Undertake experimental work to make accurate measurements of physical phenomena

Understand and use appropriate techniques to design experiments.

Ability to apply appropriate methods for error analysis and statistical significance.

Understand basic techniques from statistical machine learning for classification and regression data analysis, use existing software packages or write code to do so and carry out and justify a simple statistical model analysis of real world data.

Transferable (key) skills

1. Communication

2. Problem Solving

Assessment

A variety of assessment methods including formal exams, assignments, presentations and/or continuous assessment.

Errors, omissions, failed links etc should be notified to the Catalogue Team