# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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# Undergraduate Course: Partial Differential Equations 3 (SCEE09004)

 School School of Engineering College College of Science and Engineering Credit level (Normal year taken) SCQF Level 9 (Year 3 Undergraduate) Availability Available to all students SCQF Credits 10 ECTS Credits 5 Summary Most physical problems in science and engineering depend on changes in multiple dimensions and these problems are described by Partial Differential Equations (PDE). These equations contain 2 or more partial derivatives, for example a time and a space dimension or multiple space dimensions.This course introduces first and second order PDEs and the solution properties for different classes of PDEs. Based on these different solution properties, we will develop analytical and numerical solution methods for the different classes of PDEs. Course description The course will consist of 20 lectures and 10 tutorial/lab sessions. Lectures: 1.Introduction to and classification of partial differential equations (PDEs) [2 lectures] 2.Analytical solution of the Laplace, heat and wave equation: separation of variables, Laplace transform method, d¿Alembert and characteristics [8 lectures] 3.Introduction to numerical methods for PDEs [2 lectures] 4.Application of the finite difference method to the different types of PDEs: boundary value problems for stationary PDEs, initial-boundary value problems for transient PDEs, handling of different boundary conditions, accuracy and stability of the solutions [8 lectures]
 Pre-requisites Students MUST have passed: Engineering Mathematics 2A (SCEE08009) AND Engineering Mathematics 2B (SCEE08010) AND Engineering Mathematics 1a (MATH08074) AND Engineering Mathematics 1b (MATH08075) Co-requisites Prohibited Combinations Other requirements None
 Pre-requisites None High Demand Course? Yes
 Academic year 2019/20, Available to all students (SV1) Quota:  None Course Start Semester 1 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Seminar/Tutorial Hours 10, Summative Assessment Hours 10, Revision Session Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 56 ) Assessment (Further Info) Written Exam 60 %, Coursework 40 %, Practical Exam 0 % Additional Information (Assessment) Written Exam %: 60 Practical Exam %: 0 Coursework %: 40 The coursework consists of two individual assignments. The first assignment [20%] will focus on static PDEs and the second assignment [20%] will focus on transient PDEs. Feedback The tutorial/lab sessions provide opportunities for formative feedback and the two coursework assignments will provide summative feedback. Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S1 (December) 2:00 Resit Exam Diet (August) 2:00
 On completion of this course, the student will be able to: A sound basis in partial differential equations to give students an understanding of the properties of partial differential equations and their solutions;Practice in applying analytical methods for the solution of partial differential equations;Basic understanding of the workings and limitations of numerical methods for the solution of partial differential equations;Practice in the numerical solution of the three different types of partial differential equations using Matlab.
 Applied partial differential equations Glyn James: Advanced Modern Engineering Mathematics, Chapter 9¿required from Engineering Mathematics 2 Randall J. LeVeque: Finite difference methods for ordinary and partial differential equations steady-state and time-dependent problems, SIAM, 2007¿available online Herve Le Dret, Brigitte Lucquin: Partial Differential Equations: Modeling, Analysis and Numerical Approximation, Springer, 2016¿available online S.C. Chapra, R.P Canale: Numerical Methods for Engineers, 6th edition, McGraw-Hill, 2010 Andrew R. Mitchell, David F. Griffiths: The finite difference method in partial differential equations, Wiley, 1980 Leon Lapidus, George F. Pinder: Numerical Solution of Partial Differential Equations in Science and Engineering Joel Chaskalovic: Mathematical and Numerical Methods for Partial Differential Equations Mathematical theory of partial differential equations Qing Han, A Basic Course in Partial Differential Equations Lawrence C. Evans: Partial Differential Equations Numerical methods William H. Press:Numerical Recipes in C: The Art of Scientific Computing
 Graduate Attributes and Skills Not entered Keywords Partial Differential Equations,Mathematical Modelling,Mathematical Methods,Mechanical Engineering
 Course organiser Dr Daniel Friedrich Tel: (0131 6)50 5662 Email: D.Friedrich@ed.ac.uk Course secretary Miss Jennifer Yuille Tel: (0131 6)51 7073 Email: Jennifer.Yuille@ed.ac.uk
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