Information Processing in Technical Systems


Content, progress and pedagogy of the module

Learning objectives


  • have knowledge about modern statistical signal processing and its application to information processing systems
  • have knowledge about information and coding theory and their application to information and communication technology systems and/or machine learning and its applications to technical science


  • must be able to perform an analysis of complex theoretical problems, where there is a need for tools from statistical signal processing, information theory and machine learning
  • must be able to handle problems with noisy data and signals
  • must be able to design algorithms solving a given technical problem


  • must be able to discuss and reason at the given level using mathematical terms from modern signal processing, information theory,  coding theory and machine learning
  • must be able to both orally and in writing to present precise and reproducible documentation for the solutions developed 

Type of instruction

Projekt work including PBL elements.

Extent and expected workload

This is a 15 ECTS project module and the work load is expected to be 450 hours for the student.



Name of examInformation Processing in Technical Systems
Type of exam
Oral exam based on a project
Permitted aids
All written and all electronic aids
Please see the semester description / module description
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 titleInformationsbehandling i teknologiske systemer
Module codeK-MTK1-PRO15
Module typeProject
Duration1 semester
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Mathematical Engineering)
Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science