10 Credits SPRING

Pre-requisites: MAS152, MAS253, MAS254

Aims/Description: This module introduces some important numerical methods for solving partial differential equations such as the heat conduction equation which arise in engineering and develops methods for optimisation problems. It also gives an introduction to splines as a tool in design for curve fitting and surface approximation. Optimization techniques including numerical techniques, dynamic programming and integer programming are studied. This module is designed for mechanical engineers.

Restrictions on availability: This module is for students in Mechanical Engineering.

Staff Contact: REES JULIA M
Teaching Methods: Lectures, Independent Study
Assessment: Formal Exam, Project/ portfolio

Information on the department responsible for this unit (Mathematics and Statistics):

Departmental Home Page
Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK