LEARNING OUTCOMES (By the end of the module the student should be able to....)

Teaching and learning methods enabling students to achieve this learning outcome.

Assessment methods will measuring the achievement of this learning outcome.

(a) Subject knowledge and understanding

The student should have a conceptual understanding of the collective features emerging from interacting many-agent systems.

They should be able to adapt and develop current models of such systems.

They should be able to identify and interpret complex behaviour, such as Self-Organised Criticality.

They should have a comprehensive overview of such systems in terms of graphs.

Lectures; Classwork including in groups/teams, plus feedback; problem solving and feedback; directed reading; private study.

Oral examination;

Written reports;

Oral Presentations.

(b) Key Skills

They should be able to work effectively in a team.

They should be able to create mathematical models of complex systems.

Classwork

Lectures, reading, classwork

Oral Presentation;

Reports; oral examination.

(c) Cognitive Skills

They should be able to evaluate, interpret and judge numerical data critically.

Classwork

Written reports, oral examination.

(d) Subject-Specific/Professional Skills

They should be able to build practical numerical simulations of complex systems.

Classwork

Written reports