Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
1 semesters
Details
Program Details
Degree
Masters
Major
Mechanical Engineering | Data Analysis
Area of study
Information and Communication Technologies | Engineering
Education type
On campus
Course Language
English
About Program

Program Overview


AAU Modules

The AAU Modules provide a comprehensive overview of the university's programs, including the System Identification and Diagnosis module.


System Identification and Diagnosis

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
  • 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 exam: System Identification and Diagnosis
  • Type of exam: Oral exam
  • ECTS: 5
  • Permitted aids: With certain aids
  • Assessment: 7-point grading scale
  • Type of grading: Internal examination
  • Criteria of assessment: The criteria of assessment are stated in the Examination Policies and Procedures

Facts about the Module

  • Danish title: Systemidentifikation og diagnosticering
  • Module code: 25E-SEE1-3
  • Module type: Course
  • Duration: 1 semester
  • Semester: Autumn
  • ECTS: 5
  • Language of instruction: English
  • Empty-place Scheme: Yes
  • Location of the lecture: Campus Esbjerg, Campus Aalborg
  • Responsible for the module: Matthias Mandř

Organisation

  • Education owner: Master of Science (MSc) in Engineering (Sustainable Energy Engineering)
  • Study Board: Study Board of Build, Energy, Electronics and Mechanics in Esbjerg
  • Department: Department of Energy
  • Faculty: The Faculty of Engineering and Science

Curriculum

The module is used in the following curricula:


  • Curriculum for the Master's Programme in Mechanical Engineering, 2022
  • Curriculum for the Master's Programme in Mechanical Engineering, 2024
  • Curriculum for the Master of Science Programme in Advanced Power Electronics, 2025
  • Curriculum for the master of science programme in sustainable energy engineering, 2025
  • Curriculum for the master of science programme in energy engineering, 2025
See More