System Identification and Diagnosis

2022/2023

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Have comprehension of the fundamental principles of typical methods of system identification
  • Have comprehension of the fundamental concepts, terms and methodologies of abnormal diagnosis
  • Have comprehension of some typical model-based and signal-based diagnosis

Skills

  • Be able to apply the learned knowledge to handle some simple system identification problems under assistance of a commercial software
  • Be able to apply and analyse different diagnosis methods

Competences

  • Independently be able to define and analyse scientific problems within the area of system identification and diagnosis using digital platforms
  • Independently be able to be a part of professional and interdisciplinary development work within the area of system identification and diagnosis

Type of instruction

The course is taught by a mixture of lectures, workshops, exercises, mini-projects and self-studies, including e-learning activities.

Extent and expected workload

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

Exam

Exams

Name of examSystem Identification and Diagnosis
Type of exam
Oral exam
ECTS5
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 titleSystemidentifikation og diagnosticering
Module codeN-SEE-K1-3B
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg, Campus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Energy
DepartmentDepartment of Energy
FacultyThe Faculty of Engineering and Science