# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014 -- ARCHIVE as at 1 September 2013 for reference onlyTHIS PAGE IS OUT OF DATE

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# Undergraduate Course: Computing and Numerics (MATH08065)

 School School of Mathematics College College of Science and Engineering Course type Standard Availability Available to all students Credit level (Normal year taken) SCQF Level 8 (Year 2 Undergraduate) Credits 10 Home subject area Mathematics Other subject area None Course website None Taught in Gaelic? No Course description The first part of the course provides an introduction to scientific computer programming, based on MATLAB. The second part of the course provides an introduction to numerical methods. The programming techniques learned in the first part of the course will be applied in the study of the second part.
 Pre-requisites Co-requisites Prohibited Combinations Other requirements None Additional Costs None
 Pre-requisites None Displayed in Visiting Students Prospectus? No
 Delivery period: 2013/14 Semester 2, Available to all students (SV1) Learn enabled:  Yes Quota:  None Web Timetable Web Timetable Course Start Date 15/01/2014 Breakdown of Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 11, Supervised Practical/Workshop/Studio Hours 22, Formative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 63 ) Additional Notes Breakdown of Assessment Methods (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 % No Exam Information
 1. MATLAB programming environment: data types; matrixes and matrix operations 2. Functions, subfunctions and nested functions 3. Control statements: Conditional statements: If, Else, Elseif; Repetition statements: While, For 4. File input/output 5. Graph Plots, Basic plotting, Built in functions 6. Curve fitting: Polynomial interpolation, polynomial splines, Chebyshev polynomials, Least squares fitting 7.Integration: quadrature rules, adaptive integration, Gauss rules 8. Root finding. Newton iteration, secant iteration, roots of Polynomials
 See 'Breakdown of Assessment Methods' and 'Additional Notes' above.
 None
 Academic description Not entered Syllabus Week 1: MATLAB programming environment. Book 1, Chapters 3 & Appendix F Week 2: Functions. Book 1, Chapter 5 Week 3: Control statements. Book 1, Chapter 7 Week 4: File input/output. Book 1, Chapter 6 & Appendix C Week 5: Graphs. Book 1, Chapters 15 & 16 Week 6-7: Curve fitting. Book 2: Chapter 4 Weeks 8-9: Integration. Book 2: Chapter 5 Weeks 10-11: Root finding. Book 2: Chapter 6 Transferable skills Not entered Reading list Book 1: MATLAB Primer, Eighth Edition. Timothy A. Davis. CRC Press (Aug 2010). Book 2: Introduction to Scientific Computing using Matlab. Ian Gladwell, Warren Ferguson, James Nagy. lulu.com (Aug 2011). (These books may also be helpful for Y3 and later courses based on MATLAB.) Study Abroad Not entered Study Pattern Not entered Keywords CNu
 Course organiser Dr Maximilian Ruffert Tel: (0131 6)50 5039 Email: M.Ruffert@ed.ac.uk Course secretary Mr Martin Delaney Tel: (0131 6)50 6427 Email: Martin.Delaney@ed.ac.uk
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