Modelling and Signal Processing

2024/2025

Content, progress and pedagogy of the module

The module is based on knowledge achieved in the modules Calculus, Linear algebra and Applied engineering mathematics or similar.

Learning objectives

Knowledge

  • Have knowledge and comprehension of theoretical modelling for dynamic systems, including the principles of mass balance, energy balance and momentum balance.
  • Have knowledge and comprehension of experimental modelling of dynamic systems, including the experiment design, data collection, model structure selection, parameter estimation and model validation.
  • Have knowledge about analogue signal processing and its application in analysis and design of signals and systems, time, and frequency domains.
  • Have knowledge about sampling theories, embedded systems, and methods for processing of physical signals on a computer.
  • Have knowledge about measurement and instrumentation principles.

Skills

  • Be able to apply basic theoretical and experimental modelling techniques for modelling dynamic systems, form of block diagrams and be able to reformulate the equivalent diagrams
  • Be able to linearize an obtained nonlinear system and analyse the difference between the linearized and the original systems
  • Be able to simulate the obtained mathematical model of concerned system and analyse the system features
  • Be able to apply theories and methods for spectral estimation including Fourier transform
  • Be able to apply theories and methods for design of digital filters
  • Be able to implement filters onto embedded systems

Competences

  • Be able to apply the theoretical modelling approach to model linear and non-linear physical systems, with emphasis on control design.
  • Be able to identify systems using white and black box methods
  • Be able to describe dynamic systems in transfer function and state-space formulations
  • Be able to design and develop analog and digital filters
  • Be able to collect data from sensors, understand the limitations of measurement techniques and analyze signals

Type of instruction

The programme is based on a combination of academic, problem oriented and interdisciplinary approaches and organised based on the following types of instruction that combine skills and reflection:

•    Lectures
•    Class teaching
•    Project work
•    Work shops
•    Exercises (individually and in groups)
•    E-learning
•    Supervisor feedback
•    Professional reflection
•    Portfolio work
•    Laboratory work

Extent and expected workload

Since it is a 5 ECTS project module, the work load is expected to be 150 hours for the student.

Exam

Exams

Name of examModelling and Signal Processing
Type of exam
Written or oral exam
ECTS5
Permitted aids
With certain aids:
For more information about permitted aids, please visit the course description in Moodle.
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleModellering og signalbehandling
Module codeE-AIE-B4-2B
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module

Organisation

Study BoardStudy Board of Build, Energy, Electronics and Mechanics in Esbjerg
DepartmentDepartment of Energy
FacultyThe Faculty of Engineering and Science