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. Please note that changes may occur.


Course code




Credits (ECTS)


Semester tution start


Number of semesters


Exam semester


Language of instruction



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



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

Compulsory assignments
80% of exercises must be submitted and approved in order to be eligible to take the exam.

Course teacher(s)

Course teacher:

Yihan Xing

Course coordinator:

Lin Li

Head of Department:

Mona Wetrhus Minde

Method of work

Lectures and exercises.

Open for

Admission to Single Courses at the Faculty of Science and Technology
Marine and Offshore Technology - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.


The syllabus can be found in Leganto