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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Computing and Numerics (MATH08065)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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.
Course description 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: Solutions of linear systems. Book 2, Chapter 3
Weeks 7-8: Curve fitting. Book 2: Chapter 4
Week 9: Integration. Book 2: Chapter 5
Weeks 10-11: Root finding. Book 2: Chapter 6
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 11, Supervised Practical/Workshop/Studio Hours 22, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 63 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%
Feedback Not entered
No Exam Information
Learning Outcomes
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. Solutions of linear systems: Gaussian elimination, matrix factorization
7. Curve fitting: Polynomial interpolation, polynomial splines, Chebyshev polynomials, Least squares fitting
8. Integration: quadrature rules, adaptive integration, Gauss rules
9. Root finding. Newton iteration, secant iteration, roots of Polynomials
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.)
Additional Information
Graduate Attributes and Skills Not entered
KeywordsCNu
Contacts
Course organiserDr Maximilian Ruffert
Tel: (0131 6)50 5039
Email:
Course secretaryMr Martin Delaney
Tel: (0131 6)50 6427
Email:
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