Pattern recognition and decision support (elective 1.b.)


Recommended prerequisite for participation in the module

Knowledge of probability theory

Content, progress and pedagogy of the module

Learning objectives


Students who complete the module:

  • Have knowledge of statistical pattern recognition in general
  • Have knowledge of methods such as neural networks, Baysian nets and rule-based systems
  • Are able to describe the components of a pattern recognition system
  • Are able to understand how patterns can be described from characteristic features extracted from one- or multi-dimensional data
  • Have knowledge of supervised and unsupervised learning


  • Are able to design and test a pattern recognition system
  • Are able to apply parametric and non-parametric classification techniques to univariate and multivariate data
  • Are able to analyse and describe the underlying density function of a data set
  • Are able to apply methods to reduce the dimensionality of the data  
  • Are able to design and test a decision support system 


  • Are able to demonstrate understanding of concepts, theories and techniques in the area of statistical pattern recognition and decision support
  • Are able to apply feature analysis and classification techniques to specific multi-dimensional pattern recognition problems

Type of instruction

Lectures and exercises.



Name of examPattern recognition and decision support
Type of exam
Written or oral exam
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Please contact the   programme student counsellors if you consider applying to the education and you have questions.

Please consult the Moodle page for your semester and contact the semester coordinator if you have academic questions, or the study secretary if you have administrative questions.

All other enquiries may be directed to Malene Møller Knudsen, secretary of the Study Board.

Facts about the module

Danish titleMønstergenkendelse og beslutningsstøtte (valgfag 1.b.)
Module codeSTIST11K1_4
Module typeCourse
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 (Biomedical Engineering and Informatics)
Study BoardStudy Board of Sports Science and Public Health
DepartmentDepartment of Health Science and Technology
FacultyThe Faculty of Medicine