Master of Science (MSc) in Engineering (Control and Automation), 2018

1: Preface

Pursuant to Act 261 of March 18, 2015 on Universities (the University Act) with subsequent changes, the following curriculum for the Master's programme in Control and Automation is stipulated. The programme also follows the Joint Programme Regulations and the Examination Policies and Procedures for The Technical Faculty of IT and Design

2: Basis in Ministerial orders

The Master’s programme is organised in accordance with the Ministry of Higher Education and Science’s Order no. 1328 of November 15, 2016 on Bachelor’s and Master’s Programmes at Universities (the Ministerial Order of the Study Programmes) and Ministerial Order no. 1062 of June 30, 2016 on University Examinations (the Examination Order). Further reference is made to Ministerial Order no. 111 of January 30, 2017 (the Admission Order) and Ministerial Order no. 114 of February 3, 2015 (the Grading Scale Order) with subsequent changes.

3: Campus

The programme is offered in Aalborg

4: Faculty affiliation

The Master’s programme falls under the Technical Faculty of IT and Design, Aalborg University.

5: Study board affiliation

The Master’s programme falls under the Board of Studies for Electronics and IT.

6: Affiliation to corps of external examiners

The programme is affiliated with the body of external examiners for engineering educations: electro (In Danish: censorkorps for Ingeniøruddannelsernes landsdækkende censorkorps; elektro).

7: Admission requirements

Applicants with a legal claim to admission (retskrav):

Applicants with one of the following degrees are entitled to admission:

  • Bachelor of Science (BSc) in Engineering (Electronic Engineering and IT with specialisation in Control Engineering), Aalborg University
  • Bachelor of Science (BSc) in Engineering (Internet Technologies and Computer Engineering with specialisation in Control Engineering), Aalborg University
  • Bachelor of Science (BSc) in Engineering (Robotics); Aalborg University

Applicants without legal claim to admission:

Bachelor’s programmes qualifying students for admission:

  • Bachelor of Science (BSc) in Engineering (Electronic Engineering and IT with specialisation in Communication Systems) (AAU)
  • Bachelor of Science (BSc) in Engineering (Electronic Engineering and IT with specialisation in Signal Processing) (AAU)
  • Bachelor of Science (BSc) in Engineering (Electronic Engineering and IT with specialisation in Informatics) (AAU)
  • Bachelor of Science (BSc) in Engineering (Internet Technologies and Computer Engineering with specialization in Communication Systems) (AAU)
  • Bachelor of Science (BSc) in Engineering (Internet Technologies and Computer Engineering with specialization in Signal Processing) (AAU)
  • Bachelor of Science (BSc) in Engineering (Internet Technologies and Computer Engineering with specialization in Informatics)
  • Bachelor of Science (BSc) in Engineering (Energy Engineering)
  • Bachelor of Science (BSc) in Engineering (Mathematical Engineering)
  • Bachelor of Science (BSc) in Engineering (Electronics and Computer Engineering) (AAU Esbjerg)
  • Bachelor of Engineering (BScEE) in Electronics (AAU)
  • Bachelor of Engineering (BScEE) in Electronics (AU)
  • Bachelor of Engineering (BScEE) in Electronics (SDU)

8: The programme title in Danish and English

The Master’s programme entitles the graduate to the designation civilingeniør, cand.polyt. (candidatus/candidata polytechnices) i regulering og automation. The English designation is: Master of Science (MSc) in Engineering (Control and Automation).

9: Programme specifications in ECTS credits

The Master’s programme is a 2-year, research-based, full-time study programme. The programme is set to 120 ECTS credits.

10: Rules concerning credit transfer (merit), including the possibility for choice of modules that are part of another programme at a university in Denmark or abroad

The Study Board can approve successfully completed (passed) programme elements from other Master’s programmes in lieu of programme elements in this programme (credit transfer). The Study Board can also approve successfully completed (passed) programme elements from another Danish programme or a programme outside of Denmark at the same level in lieu of programme elements within this curriculum. Decisions on credit transfer are made by the Study Board based on an academic assessment. See the Joint Programme Regulations for the rules on credit transfer.

11: Exemptions

In exceptional circumstances, the Study Board study can grant exemption from those parts of the curriculum that are not stipulated by law or ministerial order.  Exemption regarding an examination applies to the immediate examination.

12: Rules for examinations

The rules for examinations are stated in the Examination Policies and Procedures published by the faculty on their website.

13: Rules concerning written work, including the Master’s Thesis

In the assessment of all written work, regardless of the language it is written in, weight is also given to the student's formulation and spelling ability, in addition to the academic content. Orthographic and grammatical correctness as well as stylistic proficiency are taken as a basis for the evaluation of language performance. Language performance must always be included as an independent dimension of the total evaluation. However, no examination can be assessed as ‘Pass’ on the basis of good language performance alone; similarly, an examination normally cannot be assessed as ‘Fail’ on the basis of poor language performance alone.

The Study Board can grant exemption from this in special cases (e.g., dyslexia or a native language other than Danish).

The Master’s Thesis must include an English summary (or another foreign language: French, Spanish or German upon approval by the Study Board). If the project is written in English, the summary must be in Danish (The Study Board can grant exemption from this). The summary must be at least 1 page and not more than 2 pages (this is not included in any fixed minimum and maximum number of pages per student). The summary is included in the evaluation of the project as a whole.

14: Requirements regarding the reading of texts in a foreign language

It is assumed that the student can read academic texts in his or her native language as well as in English and use reference works etc. 

15: Competence profile on the diploma

The following competence profile will appear on the diploma:

A Candidatus graduate has the following competency profile:

A Candidatus graduate has competencies that have been acquired via a course of study that has taken place in a research environment.

A Candidatus graduate is qualified for employment on the labour market based on his or her academic discipline as well as for further research (PhD programmes). A Candidatus graduate has, compared to a Bachelor, developed his or her academic knowledge and independence so as to be able to apply scientific theory and method on an independent basis within both an academic and a professional context.

16: Competence profile of the programme

Knowledge:

  • Has scientifically based knowledge about modelling and control methods for complex control systems
  • Has an understanding of the concept of modern control
  • Must understand analytical, numerical and experimental methods for analysis and design of complex control systems
  • Has knowledge about distributed systems and data networks for control purposes
  • Has knowledge in one or more subject areas that is based on the highest international research within the fields of control engineering

Skills:

  • Can analyse and apply modern control methods for multi input/multi output systems.
  • Demonstrate insight in relevant theories, methods and techniques used for distribution, storage and processing of data in a distributed system
  • Can apply data networks for control purposes
  • Demonstrate insight in real-time, performance, safety and robustness aspects
  • Can apply modeling methods for dynamic mechanical and thermal systems
  • Can analyse specific control methods used for control of mechanical or thermal systems.
  • Can select and apply advanced methods of control and estimation when applied to complex systems.
  • Demonstrate comprehension of optimal and robust control theory
  • Can apply appropriate methods of analysis for investigating control problems in industrial plants.
  • Can communicate research-based knowledge and discuss professional and scientific problems with peers as well as non-specialists, using the correct terminology.

Competences:

  • Can select and apply appropriate methods for solving a given problem within control and automation and evaluate the results regarding their accuracy and validity
  • Can identify scientific problems within control and automation and select and apply proper scientific theories, methods and tools for their solution
  • Can develop and advance new analyses and solutions within control and automation
  • Can manage work-related situations that are complex and unpredictable, and which require new solutions
  • Can initiate and implement discipline-specific as well as interdisciplinary cooperation and assume professional responsibility
  • Can take responsibility for own professional development and specialisation.
  • Work according to a scientific method and present results in the form of a scientific article and at a seminar/scientific conference
  • Formulate and explain scientific hypotheses and results achieved through scientific work
  • Analyse results and draw conclusions on a scientific basis

17: Structure and Contents of the programme

The programme is structured in modules and organised as a problem-based study. A module is a programme element or a group of programme elements, which aims to give students a set of professional skills within a fixed time frame specified in ECTS credits, and concluding with one or more examinations within specific exam periods. Examinations are defined in the curriculum.

The programme is based on a combination of academic, problem-oriented and interdisciplinary approaches and organised based on the following work and evaluation methods that combine skills and reflection:

  • lectures
  • classroom instruction
  • project work
  • workshops
  • exercises (individually and in groups)
  • self-study
  • teacher feedback
  • reflection
  • portfolio work

18: Overview of the programme

Offered as: 1-professional
Study programme: MSc Control and Automation
Module name Course type ECTS Applied grading scale Evaluation method Assessment method
1 Semester
Networked Control Systems
Networked Control Systems Project 15 7-point grading scaleInternal examinationOral exam based on a project
Stochastic Processes Course 5 7-point grading scaleInternal examinationWritten or oral exam
Distributed Real Time Systems Course 5 Passed/Not PassedInternal examinationWritten or oral exam
Multivariable Control Course 5 Passed/Not PassedInternal examinationWritten or oral exam
2 Semester
Multivariable Control Systems
Multivariable Control Systems Project 15 7-point grading scaleExternal examinationOral exam based on a project
Modeling of Mechanical and Thermal Systems Course 5 Passed/Not PassedInternal examinationWritten or oral exam
Optimality and Robustness Course 5 Passed/Not PassedInternal examinationWritten or oral exam
2nd Semester CA Elective course module package
Choose 1 course module
Course 5
3 Semester
Control of Complex Systems
3rd Semester Control and Automation: Option A
20 ECTS project unit + 10 ECTS courses
3rd Semester Control and Automation: Option B1
20 ECTS Academic Internship + 10 ECTS courses
3rd Semester Control and Automation: Option B2
25 ECTS Academic Internship + 5 ECTS course
3rd Semester Control and Automation: Option B3
30 ECTS Academic Internship
3-4 Semester
Long Master's Thesis
3rd and 4th Semester Control and Automation: Option C
50 ECTS long thesis + 10 ECTS courses
4 Semester
Master's Thesis
Master's Thesis Project 30 7-point grading scaleExternal examinationOral exam based on a project

 
2nd Semester CA Elective course module package
Choose 1 course module
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Fault Detection, Isolation and Modelling Course 5 Passed/Not Passed Internal examination Written or oral exam
Robot Vision Course 5 Passed/Not Passed Internal examination Written or oral exam

 
3rd Semester Control and Automation: Option A
20 ECTS project unit + 10 ECTS courses
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Control of Complex Systems Project 20 7-point grading scale Internal examination Oral exam based on a project
3rd Semester CA Elective courses (2 courses)
Choose 2 course modules
Course 10

 
3rd Semester CA Elective courses (2 courses)
Choose 2 course modules
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Systems of Systems/Complex Systems Course 5 Passed/Not Passed Internal examination Written or oral exam
Non-linear Control Course 5 Passed/Not Passed Internal examination Written or oral exam
Machine Learning Course 5 Passed/Not Passed Internal examination Written or oral exam

 
3rd Semester Control and Automation: Option B1
20 ECTS Academic Internship + 10 ECTS courses
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Academic Internship Project 20 7-point grading scale Internal examination Oral exam based on a project
3rd Semester CA Elective courses (2 courses)
Choose 2 course modules

 
3rd Semester Control and Automation: Option B2
25 ECTS Academic Internship + 5 ECTS course
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Academic Internship Project 25 7-point grading scale Internal examination Oral exam based on a project
3rd Semester CA Elective course (1 course)
Choose 1 course module
Course 5

 
3rd Semester CA Elective course (1 course)
Choose 1 course module
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Systems of Systems/Complex Systems Course 5 Passed/Not Passed Internal examination Written or oral exam
Non-linear Control Course 5 Passed/Not Passed Internal examination Written or oral exam
Machine Learning Course 5 Passed/Not Passed Internal examination Written or oral exam

 
3rd Semester Control and Automation: Option B3
30 ECTS Academic Internship
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Academic Internship Project 30 7-point grading scale Internal examination Oral exam based on a project

 
3rd and 4th Semester Control and Automation: Option C
50 ECTS long thesis + 10 ECTS courses
Module name Course type ECTS Applied grading scale Evaluation Method Assessment method
Master's Thesis Project 50 7-point grading scale External examination Oral exam based on a project
3rd Semester CA Elective courses (2 courses)
Choose 2 course modules
Course 10

19: Additional information

The current version of the curriculum is published on the Board of Studies’ website, including more detailed information about the programme, including exams

All students who have not participated in Aalborg University’s PBL introductory course during their Bachelor’s degree must attend the introductory course “Problem-based Learning and Project Management”. The introductory course must be approved before the student can participate in the project exam. 

20: Commencement and transitional rules

The curriculum is approved by the Dean of The Technical Faculty of IT and Design and enters into force as of September 2018.

Students who wish to complete their studies under the previous curriculum from 2017 must conclude their education by the summer examination period 2019 at the latest, since examinations under the previous curriculum are not offered after this time.

21: Amendments to the curriculum and regulations

Minor editorial changes have been made in connection with the digitisation of the study curriculum.