University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: Full Year

Availability restrictions: Available only to students studying the PG Cert/PG Dip/MSc in Data Science (Digital)

This module will introduce complex systems modelling and simulation. Students will gain a broad grounding in a range of techniques and their applications to different classes of problems, with a practical focus on modern network-based models and simulation.

Learning and teaching methods and delivery

Weekly contact: Students should expect to engage in approximately six tutorials over the course of the module, which will be scheduled with an awareness of the pace at which they are progressing, rather than at a fixed time each week. Students should consider the amount of independent study time this module involves when planning their learning.

Scheduled learning hours: 6

Guided independent study hours: 148

Assessment pattern

As used by St Andrews: Coursework = 100%


Re-assessment: Coursework = 100%

Personnel

Module coordinator: Professor T W Kelsey
Module teaching staff: Professor Simon Dobson and Dr Peter Mann

Intended learning outcomes

• Understand how systems can be modelled using both mathematical and computational processes.
• Obtain insights into the behaviour of systems and to help interpret collected data.
• Be able to simulate systems and situations that we cannot build or observe.
• Be able to prepare synthetic datasets for machine learning and other approaches where we need to have precise control of the situations being presented