The course treats methods for simulations for differential equations models with and without stochastic elements. The simulations are used in project work for analysis and where is relevant, optimisation of a design or process, or of the model alone. Choice of simulation method and software (self-developed or already available), based on the aim of the model and its properties and identification of limitations are important elements.
SF1538 Project Course in Simulation Technology 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2019
Decision to discontinue this course:
No information insertedInformation per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus SF1538 (Spring 2014–)Content and learning outcomes
Course contents
Intended learning outcomes
A general aim with the course is to communicate knowledge of the entire simulation pipeline to be able to solve complex problems. On completion of the course, the student can efficiently use computer simulation for modelling, analysis and optimisation of models with and without element of stochastics for some engineering applications. The models are brought from process technology, material science, movement, optimum design, flight dynamics and optimum reconstruction.
On completion of the course, the student can
- formulate some models in science and technology based on differential equations with and without random disturbances,
- use the simulation model for analysis and optimisation of design,
- choose appropriate computer simulation method for the model
- carry out simulation study and sensitivity analysis
- present model, results and construction studies orally and in writing.
Literature and preparations
Specific prerequisites
Basic courses in linear algebra, analysis, differential equations, probability theory, numerical methods, programming equivalent to SF1530, SF1625, SF1532, SF1536, SF1901 and DD1345.
Equipment
Literature
Announced no later than 4 weeks before the start of the course on the course web page.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LABA - Laboratory Work, 2.5 credits, grading scale: P, F
- LABB - Project, 2.5 credits, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 2.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
In this course, the code of honour of the school is applied, see: http://www.sci.kth.se/institutioner/math/avd/na/utbildning/hederskodex-for-studenter-och-larare-vid-kurser-pa-avdelningen-for-numerisk-analys-1.357185
Other requirements for final grade
An examination (TEN1; 2.5 credits). Laboratory assignments with presentation (LAB A+LAB B; 5.0 credits).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.