Engineering Mathematics and Dynamics (OFF585)
The course aims to provide the students with knowledge required in order to establish statistical and probabilistic models associated with uncertainties, as well as formulate and solve the equations of motion for static and dynamic systems in both frequency and time domains.
Course description for study year 2024-2025
Course code
OFF585
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
Properties of various statistical models and their physical applications. Statistical models using the principle of statistical inference. Monte Carlo simulation. Transformation of variables. Signal processing in both frequency and time domains. Direct stiffness method. Equations of motions for dynamic systems. Vibration and resonance. Programming in MATLAB. Finite element method applied to truss, beam and frame structures with emphasis on its application in engineering problems.
Learning outcome
The learning outcome includes the following aspects:
To have the insights related to properties of various statistical models and their physical applications, and establish statistical models using the principle of statistical inference.
To be familiar with different techniques within probabilistic analysis, including Monte Carlo simulations and transformation of variables.
To be able to process signals in both frequency and time domains and carry out data analysis.
To be able to establish the equations of motions for dynamic systems and solve the motions in both frequency and time domains.
To understand the important phenomenon in dynamic responses of simple systems.
To be able to solve simple structural truss, beam and frame problems using the finite element procedure.
Required prerequisite knowledge
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 1/1 | 4 Hours | Letter grades | Approved, basic calculator |
The written exam is conducted with pen and paper.
Coursework requirements
80% of exercises must be submitted and approved in order to be eligible to take the exam.
Course teacher(s)
Course coordinator:
Yihan XingHead of Department:
Mona Wetrhus MindeMethod of work
Lectures and exercises.