Aims and Fit of Module

The Dynamic Systems module offers the basic knowledge of mathematical modeling and analysis of dynamic systems for the purposes of understanding their behavior in time domain as well as their stability issues, which are essential in the design of mechatronic systems.

The module aims to:
1.	develop an understanding of modeling methods on mechanical systems.
2.	introduce the essential principles governing the behavior of first and second order systems in the time domain.
3.	develop practical skills in mechatronic systems design and carrying out and reporting upon simple experiments.

Learning outcomes

A. Model dynamic systems and analyse their characteristics across mechanical, thermal, fluid, and electrical domains, demonstrating a comprehensive understanding.
B. Apply essential principles governing the behavior of first and second order systems in the time domains, showcasing proficiency in practical applications.
C. Apply advanced analytical methods to determine natural frequencies and mode shapes and understand the stability issues in mechanical systems.
D. Design and optimise simple mechatronic systems to achieve the specified objectives related to performance, cost, safety, environmental protection and sustainability.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.

This module will be delivered through a combination of formal lectures, supervised laboratory sessions and a seminar. Various topics included in the module will be presented together with worked examples during the lectures. During the supervised laboratory sessions, students will conduct experiments on simple systems and develop the skills to build and simulate their numerical models. At the end, the module will be concluded with a review in the seminar.

The module will be assessed by a combination of both lab-based coursework and examination.