Teaching Staff
The mandatory courses in the MSc are taught by staff from the Schools of Physics and Astronomy and Informatics.
Bob
Mann is the MSc Programme Director and a Senior Lecturer in the
School of Physics and Astronomy. He is
the Course Organiser of three of the mandatory courses - Introduction
to Scientific Data; Topics in Distributed Scientific Computing; Project
Preparation (Distributed Scientific Computing) - and one optional course
(Virtual Observatory), as well as organising the Individual Research
Projects.
Bob is an astronomer, whose research interests focus on observational cosmology and the study of the evolution of galaxies. He leads the Wide-Field Astronomy Unit, which is part of the University's Institute for Astronomy, and which curates sky survey data for the astronomical community. A former Research Leader at the National e-Science Centre, he is active in the development of the global Virtual Observatory, and has a long-standing interest in the application of computer science techniques in astronomy.
David Fergusson is the Deputy Director for Training, Outreach and
Education at the National e-Science Centre.
He is the Course Organiser of three of the mandatory courses: Web
Programming; Internet Computing; and Computing with Distributed Resources.
David is involved in the European Grid Initiative as a UK representative and chairs a group in the Open Grid Forum. He has been part of the group running the International Summer Schools on Grid Computing for several years, and founded the Biomedical Grid Summer School.
Phil Clark is a Lecturer in the
School of Physics and Astronomy and is Course Organiser of the
Introduction to Java Programming course. Phil is an experimental particle
physicist, working on experiments at CERN and SLAC, and is Project Leader of
ScotGRID, which provides a national grid service
for researchers in Scotland.
Jim Bednar is a Lecturer in the
School of Informatics and is Course Organiser of the Software
Architecture, Process and Management course. His research concentrates on
biologically realistic computational modeling of the human visual system.