Overview

The use of a workload allocation model as a system to categorise, measure and allocate work to academics at the departmental level has increased over the past decade, often, work allocation is an exercise in balancing the complex and variable. This presentation offers a practical solution for managing academic workload in 21^st century higher education by proposing a mathematical model for allocating work to academics and its principles. This model provides a fair, transparent and effective framework for the allocation and distribution of academic workloads.

This webinar is aimed primarily at academics, lecturers, teaching staff, but also of interest to general engineering management audience.

Mo Zandi, Professor of Chemical Engineering Education, Director of Learning and Teaching, University of Sheffield

After completing a degree in chemical engineering, followed by an MSc with distinction from the University of Bradford in advanced chemical engineering, Mo moved to the University of Sheffield to carry out a PhD in coal combustion and its environmental impacts, followed by post-doctoral studies into heavy metals and trace elements mobility from waste and waste and their leaching behaviour.

Mo joined the Environment Department at Tata Steel RD&T in 2008, focusing on alternative fuels for iron making and CO2 sequestration technologies. He led strategic research projects on using biomass for iron making and sintering in collaboration with major European steel manufacturers and another using algae technology for sequestrating steel plant CO₂. In January 2010, he re-joined The University of Sheffield as lecturer with research interests in environmental and energy engineering, biomass and biofuels and CO₂ sequestration technologies.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenters' own and do not necessarily represent those of IChemE or the Hull and Humber Members Group. The information is given in good faith but without any liability on the part of IChemE.

Time 

18:30–19:30 GMT.

Software 

The presentation will be delivered via GoToWebinar®. 
Check system requirements.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend. If you wish to access the recording to replay on demand, you will need to be a member of the Hull and Humber Members Group