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 Undergraduate Course: Engineering Mathematics 2A (SCEE08009)
Course Outline
| School | School of Engineering | College | College of Science and Engineering |  
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) | Availability | Available to all students |  
| SCQF Credits | 10 | ECTS Credits | 5 |  
 
| Summary | Ordinary differential equations, transforms and Fourier series with applications to engineering. Linear differential equations, homogeneous and non-homogeneous equations, particular solutions for standard forcings; Laplace transforms and applications; standard Fourier series, half range sine and cosine series, complex form; convergence of Fourier series, differentiation and integration of Fourier series. Introduction to Partial Differential Equations. |  
| Course description | Differential Equations: - Linear Differential Equations [1 lecture]
 - Linear constant coefficient Differential Equations [3  lectures]
 - Second order linear constant coefficient differential  equations, forcing and damping [2 lectures]
 
 Laplace Transforms:
 - Definition, simple transforms, properties, inverse and shift theorem [3 lectures]
 - Solution of ODEs [3 lectures]
 
 Fourier Series:
 - Fourier series, coefficients, even/odd functions, linearity,  convergence [2 lectures]
 - Full range, half-range [2 lectures]
 - Integration and differentiation of Fourier series [1 lecture]
 
 Partial Differential Equations:
 - Wave equation, Heat or diffusion equation, Laplace equation  [1 lecture]
 - Solution of wave equation, D'alembert solution, separated  solution  [2 lectures]
 
 
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Information for Visiting Students 
| Pre-requisites | Mathematics units passed equivalent to Mathematics for Science and Engineering 1a and Mathematics for Science and Engineering 1b, or Advanced Higher Mathematics (A or B grade) or Mathematics and Further mathematics A-Level passes (A or B grade). |  
		| High Demand Course? | Yes |  
Course Delivery Information
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| Academic year 2020/21, 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 5,
 Formative Assessment Hours 2,
 Summative Assessment Hours 10,
 Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
61 ) |  
| Assessment (Further Info) | Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 % |  
 
| Additional Information (Assessment) | Written Exam 50%: Coursework 50%:
 
 |  
| Feedback | Not entered |  
| Exam Information |  
    | Exam Diet | Paper Name | Hours & Minutes |  |  
| Main Exam Diet S1 (December) | Engineering Mathematics 2A | 1:30 |  |  | Resit Exam Diet (August) | Engineering Mathematics 2A | 1:30 |  |  
 
Learning Outcomes 
| On completion of this course, the student will be able to: 
        Calculate the solution of engineering problems described by linear, constant coefficient first and higher order differential equationsAnalyse and interpret the solutions to draw conclusions on the system behaviourApply the Laplace transform to solve systems of linear, constant coefficient differential equations and to evaluate the stability of dynamic systemsUse Fourier series analysis to approximate periodic functions, solve differential equations and analyse the response of systems to periodic forcing Distinguish between ordinary and partial differential equations and solve special cases of the wave equation |  
Reading List 
| Students are expected to own a copy of : 1.	Modern Engineering Mathematics by Glyn James, Prentice Hall,
 ISBN 978-0-273-73413-X
 2.	Advanced Modern Engineering Mathematics by Glyn James,
 Prentice Hall, ISBN 978-0-273-71923-6
 
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Additional Information
| Graduate Attributes and Skills | Not entered |  
| Keywords | Ordinary differential equations,Partial differential equations,Laplace transforms,Fourier series |  
Contacts 
| 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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