IEEE CSS Seminar on Control Education with Dr J Anthony Rossiter
Teaching tools and methods in Control Engineering for encouraging student engagement without overloading staff - Dr J.A. Rossiter
It is well known that students learn more when they are active and thus a core challenge for teaching staff is to encourage effective student activity, both during teaching sessions and also student private study. However, an obvious obstacle is that often, creating effective resources and activities to encourage such engagement can be excessively time consuming for staff, or, simply not easily accessible to students. This talk will demonstrate a number of tools that Anthony has used in his own teaching practice, it must be said with varying success; these aspects will also be discussed honestly. Anthony’s teaching focusses largely around control engineering topics and thus many of the resources are focussed around that, albeit the underlying pedagogical message and approach are transferable to many engineering topics. The talk will also include a significant element on assessment: how can we do this efficiently and thus cope with delivering rapid feedback to large cohorts and minimising inefficient or time consuming marking practices? Also, how do we modernise assessment so it is fit for the 21st century?
Date and Time
Location
Hosts
Registration
- Date: 08 May 2025
- Time: 01:00 PM UTC to 02:00 PM UTC
-
Add Event to Calendar
- Starts 07 April 2025 11:00 PM UTC
- Ends 08 May 2025 12:50 PM UTC
- No Admission Charge
Speakers
Dr J. Anthony Rossiter of University of Sheffield
Biography:
After studying his 1st degree in Engineering Science and DPhil (both at Oxford), Dr. Rossiter has been an academic at Loughborough (1992-2001) and now at Sheffield. He has always maintained strong interests in both technical research and education and currently has a high profile in both domains.
His technical research has predominantly been based around the area of predictive control and more specifically with a focus on modifying the basic algorithm to optimise computational efficiency and/or simplicity with minimal sacrifice to the expected performance. Currently he is looking at how the algorithm, more normally used at a high level and requiring substantial computing power and set up costs, might be effectively deployed on microprocessors and other low level implementation technologies with minimal set up costs; one focus is on understanding the potential of Predictive Functional Control approaches.
Within education his interests are varied and he is a fellow of the HEA. He has played a major role in improving mathematics support for engineers and also tries to enthuse colleagues to consider the potential of new technology for improving the learning experience available to students. He is a strong champion of the need for effective team work in both the design and delivery of the curriculum. Current teaching duties cover all 4 years and focus on mathematics, modelling, analysis and control.
He has held many roles such as chair of departmental Learning and Teaching Committee, admissions tutor, schools liaison, faculty director of learning and teaching, MSc tutor, year tutor and also plays a role in numerous Faculty and University committees.
Email:
Address:School of Electrical and Electronic Engineering, Amy Johnson Building, Sheffield, England, United Kingdom, S1 3JD