DN1241 Numerical Methods, Basic Course III 7.5 credits
Numeriska metoder, grundkurs III
Basic course in numerical methods.
Educational levelFirst cycle
Academic level (A-D)B
Grade scaleA, B, C, D, E, FX, F
PeriodsAutumn 12 P1 (4.5 credits), P2 (3.0 credits)
Start date2012 week: 34
End date2013 week: 1
Language of instructionSwedish
Number of lectures
Number of exercises
Form of studyNormal
Number of placesNo limitation
ScheduleSchedule (new window)
Compulsary for CDATE2 but available for all programs
Part of programme
- Degree Progr. in Computer Science and Engineering, year 2, Mandatory
- Degree Progr. in Computer Science and Engineering, year 2, INT, Conditionally Elective
- Degree Progr. in Computer Science and Engineering, year 2, JAP, Conditionally Elective
- Degree Progr. in Computer Science and Engineering, year 2, KIN, Conditionally Elective
An overlying goal with the course is the realization of the necessity of numerical methods in order to simulate technological and scientific processes based on mathematical models.
After completing this course, the students should be able to
- identify various mathematical problems and reformulate these in a way suitable for numerical treatment
- select a suitable numerical method for the treatment of the given problem
- motivate the choice of a method by describing its advantages and limitations
- select an algorithm leading to efficient computation and implement this in a programming language, suitable for scientific computing, e.g. Matlab
- present the results in a relevant and illustrative way
- provide an estimate of the accuracy of the results
- utilize standard functions from e.g. Matlab's library for calculation, visualization and efficient programming.
Course main content
Basic concepts and ideas: algorithm, local linearization, iteration, extrapolation, discretization, convergence, stability, condition.
Reliability assessment: parameter sensitivity, experimental perturbations, precision.
Numerical methods for: linear systems of equations, nonlinear equations and systems of equations, interpolation, model-fitting with the method of least squares, optimization, quadrature, differential equations.
The application of mathematical software in the solution of scientific and engineering problems, numerical experimentation, and the presentation of effective algorithms.
For single course students: completed upper secondary education including documented proficiency in Swedish corresponding to Swedish B, English corresponding to English A. Furthermore: 15 hp in mathematics and 6 hp in computer science or programming technics.
For those studying at KTH: mandatory first year courses in mathematics and a course in computer science or programming.
G. Eriksson: Numeriska algoritmer med Matlab, CSC/Nada 2002.
T. Sauer: Numerical Analysis, Pearson 2006.
- LABA - Laboratory Work, 1.5 credits, grade scale: P, F
- LABB - Laboratory Work, 3.0 credits, grade scale: P, F
- TEN1 - Examination, 3.0 credits, grade scale: A, B, C, D, E, FX, F
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Requirements for final grade
A written examination (TENl; 3 university credits.).
Computer assignments (LABA; 1,5 university credits.).
Computer assignments with oral and written presentation (LABB; 3 university credits.).
Lennart Edsberg, e-post: email@example.com
Hans Lennart Edsberg <firstname.lastname@example.org>
The course cannot be counted towards the degree if the student also has taken any of the courses 2D1210, 2D1212/DN1212, 2D1213/DN1213, 2D1214/DN1214, DN1215, 2D1240/DN1240.
DN2220 Applied Numerical Methods I or DN2250 Applied Numerical Methods II, DN2225 Numerical Solution of Differential Equations I, DN2266 Mathematical Models, Analysis and Simulation, Part I or DN2252 Numerical Algebra, DN2264 Parallel Computations for Large-Scale Problems part 1.
Course plan valid from:
Examination information valid from: Autumn 07.