Metadata
Title
Katy Dobson
Category
general
UUID
101c8fdd87644b1eb11cbb2f87171e52
Source URL
https://www.leeds.ac.uk/directory-record/22808/katy-dobson
Parent URL
https://www.leeds.ac.uk/lifelong-learning/doc/contact-LLC-staff
Crawl Time
2026-03-23T14:54:42+00:00
Rendered Raw Markdown

Katy Dobson

Source: https://www.leeds.ac.uk/directory-record/22808/katy-dobson Parent: https://www.leeds.ac.uk/lifelong-learning/doc/contact-LLC-staff

Job title : Programme Manager (Science Foundation Year), Lifelong Learning Centre

Contact

Areas of expertise

My role

As Programme Manager for Science, I support students throughout their Science Foundation Year with the Lifelong Learning Centre. I manage the science team and am responsible for all aspects of programme development, quality of teaching and learning, student support and recruitment. I also teach mathematics on the Science Foundation programmes.

Professional experience

I have over 15 years’ experience teaching mathematics across multiple disciplines focusing on transitional mathematics support. I joined the Lifelong Learning Centre in 2013 to provide mathematics teaching and support to foundation and widening participation students, and in 2019 became the Programme Manager for Science.

My role includes the strategic leadership and management of the development and delivery of science foundation years. These programmes provide students with a stimulating and supportive environment in which to acquire knowledge and skills for progression to a range of science degrees across the University.

Research interests

My current research interests include investigating mathematics as a threshold concept or barrier to educational opportunities, especially in relation to adult learners. Since 2016 I have led an outreach project using mathematics to build confidence and inspire participants to consider returning to education.

Previously, my research focused on numerical abstract domains, a static program analysis method that uses abstract interpretation to provide a convenient but approximate representation of the accumulated information during the evaluation of a program.

My research focused on domains that capture the distribution or patterns of values the program properties can take whilst ensuring quantitative degrees of precision and efficiency.

Qualifications

Professional memberships