Course syllabus - Numerical Methods for Engineers
Scope
7.5 credits
Course code
MAA133
Valid from
Autumn semester 2018
Education level
First cycle
Progressive Specialisation
G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements).
Main area(s)
Mathematics/Applied Mathematics
School
School of Education, Culture and Communication
Ratified
2017-12-12
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Numerical methods using MATLAB
4. ed. : Upper Saddle River, N.J. : Prentice Hall, 2003 - v, 680 s.
ISBN: 9780130652485 LIBRIS-ID: 8736441
Objectives
The aim of the course is to provide knowledge about how numerical methods are applied when solving mathematical problems using a computer. Methods and algorithms are presented both from a mathematical viewpoint and through examples of relevance for the students' field of study.
Learning outcomes
Upon completion of this course the student is expected to be able to:
1. use and qualitatively compare numerical methods to solve non-linear equations
2. solve systems of linear equation numerically using matrix factorisation and iterative methods
3. approximate derivatives using various types of difference quotients
4. use and qualitatively compare numerical methods for integration
5. use and qualitatively compare numerical methods for solving differential equations
6. perform computationally focused projects in numerical methods using a computer, and be able to present the results by well-structured reports and oral presentations
Course content
- Non-linear equations: iterative methods such as the bisection method and Newton’s method
- Systems of linear equations: condition number, matrix factorisation, iterative methods, rewrite systems in order to minimize error propagation
- Numerical differentiation: difference quotient, central difference quotient
- Numerical integration: quadrature formulas such as the trapezoidal method and Simpson’s rule
- Numerically solving differential equations: explicit and implicit methods such as Euler’s method and the Runge-Kutta method
- Error estimation and convergence rate for chosen numerical methods
-Computer based applications in the students' field of study
Tuition
Lectures, study groups and computer based laboratory work.
Specific requirements
Vector Algebra, 7.5 credits, Single Variable Calculus, 7.5 credits and Programming, 7.5 credits or equivalent.
Examination
INL1, Written assignments, 3.5 credits, hand in assignments concerning learning outcomes 1-6, grades Fail (U) or Pass (G).
LAB1, Laboratory work, 4 credits, written and oral presentation concerning learning outcomes 1-6, grades 3, 4 or 5.
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail