Form C4 Version 4.0 (2010/2011) Heriot-Watt University - Course Descriptor Template 1. Course Code F18XD 5. School Mathematical & Computer Sciences 7. Delivery: Location & Semester Edin SBC Orkney Dubai IDL Collaborative Partner Approved Learning Partner Sem 2. Sem……. Sem……….. Sem…2.. Sem…. Names: Forth Valley College, Stevenson College, Adam Smith College………………..... Name …………………………………Sem……….. 8. Pre-requisites 2. Course Title Mathematics for Engineers and Scientists 4 Sem..2.. Pass F17XA and F17XB with a D or better 2nd year direct entry – A-Level/ AH in Mathematics Grade C or better or equivalent 9. Linked Courses (specify if synoptic) 10. Excluded Courses None 11. Replacement Courses Code: B88AP Date Of Replacement: Sept 2012 13. The course may be delivered to: 3. SCQF 8 4. Credits 15 Level 6. Course Maths Teaching Responsible Person Co-ordinator UG only PG only 12. Degrees for which this is a core course UG & PG All Mechanical Engineering degrees, Chemical Engineering degrees, Electrical Engineering degrees and all Physics degrees except Mathematical Physics and MChem in Chemistry with Nanotechnology and MChem and BSc(Hons) in Chemistry with Materials. 14. Available as an Elective? Yes No 15. Aims This aims to provide a fundamental course in the basic methods of mathematical modelling with emphasis on linear algebra. It will give an introduction to MATLAB as a programming language, which will be used for solving various mathematical problems related to science and engineering. 1/3 Form C4 Heriot-Watt University - Course Descriptor Template Version 4.0 (2010/2011) 16. Syllabus Linear Algebra: Systems of linear equations, Gaussian elimination, Vectors and matrices, Matrix algebra, Inverse matrices, Determinants, Eigenvectors and eigenvalues, Applications to differential equations, Diagonalization of matrices (16 lectures) Laplace Transform: Laplace Transforms, Inverse Laplace Transforms, Solving differential equations (DEs) and systems of DEs with Laplace Transforms (8 lectures) Analytic Geometry : Vector algebra, Scalar and vector products, Lines and planes, Derivatives of scalar and vector functions, Directional derivatives, Linear approximation of curves, Tangent planes, Grad, Div, Curl (7 lectures) 17. Learning Outcomes (HWU Core Skills: Employability and Professional Career Readiness) Subject Mastery Understanding, Knowledge and Cognitive Skills Scholarship, Enquiry and Research (Research-Informed Learning) Know the basic terminology of linear algebra, Laplace transforms and analytic geometry. Be able to solve systems of linear equations by the method of Gaussian elimination, know how to invert a matrix both by using Gaussian elimination and by computing cofactors, be able to compute determinants, be able to solve eigenvalue problems, understand how eigenvalue problems may arise in practical applications, be able to diagonalize matrices Know how to perform Laplace transform and Inverse Laplace transform of most common functions. Be able to apply Laplace transform to solve DEs and systems of DEs. Be able to perform basic vector operations. Know how to write equations of lines and planes and find angles between lines and planes. Be able to compute partial and directional derivatives of scalar and vector functions. Write equations for piecewise approximation of curves and equations of tangent planes. Know how to apply Grad, Div and Curl operators. Know how to use MATLAB to: perform matrix and vector operations, solves systems of linear equations, find eigenvalues and eigenvectors of matrices, perform Laplace and Inverse Laplace transforms, solve DEs. 2/3 Form C4 Version 4.0 (2010/2011) Heriot-Watt University - Course Descriptor Template Personal Abilities Industrial, Commercial & Professional Practice Autonomy, Accountability & Working with Others Communication, Numeracy & ICT Recognise the use of mathematical language to communicate engineering, science and other numerate disciplines. Apply fundamental mathematical techniques to a range of engineering and science based problems. Formulate and present a solution clearly to problems presented in a mathematical framework. 18. Assessment Methods Method 19. Re-assessment Methods Duration of Exam Weighting (%) Synoptic courses? Method (if applicable) Examination Continuous assessment 2 hours Duration of Exam Diet(s) (if applicable) 80 maximum 20 minimum Examination 2 hours resit 20. Date and Version Date of Proposal Oct 2011 Date of Approval by School Committee Oct 2011 Date of Implementation September 2012 Version Number 3/3 1