Description:
In this course, we will discuss the perspectives and contents of Industry 4.0.

The course is divided into five themes:

• Theme 1: Introduction to Industry 4.0
- Background
- History
- Aims and Objectives

• Theme 2: Smart factory (technology)
- Introduction to the family of technologies
- Technology evaluation

•Theme 3: Value streams (integration)
- The new role and responsibility of suppliers (system and goods suppliers), benefits and drawbacks of novel supply models, implications for new business models

• Theme 4: Human factors
- Competences, culture
- Learning, Training and Assistance in Industry 4.0 (Methods, Tools, Formats)

• Theme 5: Interaction, implementation and transformation
- Survey of methodologies
- Maturity assessment – AAUs 360

The course will consist of a number of lectures, combined with several workshop activities were the students works on specific cases.

Organizer: Ole Madsen, professor, om@mp.aau.dk

Lecturers: Professor Ulrich Berger, BTU, Germany; Professor Ole Madsen, AAU; Adjunkt Casper Schou, AAU, Guest speakers from industry/research

ECTS: 3.0

Time: October 3-5, 2022

Place: Aalborg University, Fibigerstræde 14

Number of seats: 30

Deadline: September 12, 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.

Description:
This PhD course introduces techniques for modeling of musculoskeletal systems based on multibody dynamics. The course takes a bottom-up approach beginning with kinematics of open and closed chains and ending with analysis of complex and anatomically realistic models.  The course uses the AnyBody Modeling System throughout and contains an introduction to this system.

Organizer: Professor John Rasmussen, e-mail: jr@mp.aau.dk

Lecturers: John Rasmussen, Mark de Zee, Michael Skipper Andersen

ECTS: 4.0

Time: 2-6 May 2022

Place: Department of Materials and Production

Number of seats: 30

Deadline: 15 April 2022

Price: DKK 4500 for industrial and non-university participants.

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

This course is fully booked! Please fill out this form to be added to the waiting list.
For questions regarding enrolment, please contact gmh@adm.aau.dk


Description:
Characterization methods are important for many applied oriented projects. In this course, principles of operation and applicability of several microscopy and spectroscopy techniques to investigation of different materials including bio- and nanoscale objects will be overviewed. The course is developed at a level suitable for the participants with different background (physics, chemistry, biology, medicine, mechanical/materials/electronic engineering and similar). Essential part of the course will be hands-on training using particular microscopy and spectroscopy tools. The participants can prioritise up to 3 methods of interest for the hands-on training. The course is divided into six themes.

Theme 1: Scanning probe microscopy (SPM) (V. Popok and P. Fojan)

- Short historical introduction about invention of different SPM modes
- Principles and technical realisation of atomic force microscopy (AFM)
- Hands-on training in semicontact AFM (advanced SPM modes are possible on demand)

Theme 2: Electron and X-ray diffraction (L. Diekhöner)

- Brief summary of crystal structure and reciprocal lattice;
- Short theoretical background on wave diffraction and crystal structure determination;
- Principles and examples of experimental diffraction techniques: X-ray diffraction (XRD) and low energy electron diffraction (LEED);
- Hands-on training.

Theme 3: Scanning electron microscopy (SEM) and X-ray microanalysis (L. Gurevich, M. Larsen)

- Physical background: Interaction of electromagnetic radiation and electrons with matter. Physical techniques for elemental analysis;
- SEM, energy dispersive X-ray spectroscopy (EDS) and electron backscatter diffraction (EBSD): Interaction of electrons with matter, image formation, hardware;
- Selected applications: environmental SEM and life science applications;
- Hands-on training.

Theme 4: Infrared (IR) and Raman spectroscopy (L.R. Jensen)

- Introduction to IR absorption, Rayleigh and Raman scattering;
- Instrumentation in Fourie transform IR and Raman spectroscopy;
- Applications;
- Hands-on training.

Theme 5: Terahertz (THz) spectroscopy (E. Skovsen)

- Introduction to terahertz spectroscopy;
- Time-domain THz spectroscopy (THz-TDS);
- Applications of THz-TDS;
- Frequency-domain THz spectroscopy (THz-FDS);
- Applications of THz-FDS;
- Brief introduction to THz imaging;
- Hands-on training.

Theme 6: Nuclear Magnetic Resonance (NMR) (R. Wimmer)

- Short theoretical background of NMR;
- Information content of NMR spectra;
- Different types of NMR spectra;
- Limitations of NMR spectra;
- Cases;
- Hands-on training.

Organizer: Dr. Vladimir Popok, e-mail:  vp@mp.aau.dk

Lecturers:
Vladimir Popok, MP; Peter Fojan, MP; Leonid Gurevich, MP; Lars Diekhöner, MP; Mikael Larsen, MP; Lars Rosgaard Jensen, MP; Esben Skovsen, MP; Reinhard Wimmer, BIO.

ECTS: 3.0

Time: 28 November – 2 December 2022

Place: Aalborg University: Skjernvej 4A, Fibigerstræde 14, Fredrik Bajers vej 7

Number of seats: 15

Deadline: 17 October 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.


Description:
Artificial Intelligence/Machine Learning is becoming an increasingly important tool for mechanical and manufacturing engineers, whether you work with materials, processes or mechanical / manufacturing systems.
This course will give an introduction to emerging tools in AI/ML such as broad range of deep learning techniques that are highly relevant for the modern mechanical / manufacturing engineer. In the course valuable methods and specific industrial applications are addressed. Topics will include:

• Machine learning fundamentals

• Deep learning concepts within computer vision, natural language processing, and intelligent agents

• Deep learning methods including convolutional neural (CNN) networks, recurrent neural networks (RNN), auto-encoders, LSTM, and Reinforcement Learning (RL) techniques and algorithms

• Selected industrial applications if AI/ML such as defect detection in materials and surfaces, quality inspection, predictive analytics, human-machine interaction with virtual assistants, self-learning robots and automatic optimisation of machine parameters

• Software, frameworks, tools and public datasets

Application implementations will be tested in the AAU Smart Lab at the Department for Materials and Production

Organizers: Associate Professor, Simon Bøgh, sb@mp.aau.dk  

Lecturers: Associate Dimitris Chrysostomou, AAU, Assistant Professor Chen Li, AAU, Associate Professor Nestor Arana Arexolaleiba, Mondragon University, Spain (Visiting Professor AAU)

ECTS: 5.0

Time: August 2022

Place: Aalborg University

Number of seats:

Deadline: 3 weeks prior to course start

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.

Description:
Artificial Intelligence/Machine Learning is becoming an increasingly important tool for mechanical and manufacturing engineers, whether you work with materials, processes or mechanical / manufacturing systems.

This course will give an introduction to emerging tools in AI/ML such as broad range of deep learning techniques that are highly relevant for the modern mechanical / manufacturing engineer. In the course valuable methods and specific industrial applications are addressed. Topics will include:

  • Machine learning fundamentals
  • Deep learning concepts within computer vision, natural language processing, and intelligent agents
  • Deep learning methods e.g. convolutional neural (CNN) networks, recurrent neural networks (RNN), auto-encoders, LSTM, and Reinforcement Learning (RL) techniques and algorithms
  • Selected industrial applications in AI/ML such as defect detection in materials and surfaces, quality inspection, predictive analytics, human-machine interaction with virtual assistants, self-learning robots and automatic optimisation of machine parameters, or similar applications
  • Software, frameworks, tools and public dataset

Application implementations will be tested in the AAU Smart Lab at the Department for Materials and Production.

Prerequisites: Basic probability and statistics theory, linear algebra, machine learning, and basic programming.

Organizers: Associate Professor, Simon Bøgh, sb@mp.aau.dk 

Lecturers: Associate Dimitris Chrysostomou, AAU, Assistant Professor Chen Li, AAU, Associate Professor Nestor Arana Arexolaleiba, Mondragon University, Spain (Visiting Professor AAU)

ECTS: 4.0

Time: Fall 2022

Place: Aalborg University

Number of seats: 25

Deadline: TBA

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. 
We look forward to your registrations.



Description:
The purpose of the course is to present the participants with a general overview and an introduction to recent advances and modern techniques for analysis and gradient based design optimization of advanced laminated composite structures. 
The following topics will be treated:

  • Laminae and laminates: fiber and resin materials, modelling of the laminae, classical lamination theory (CLT), shear-deformation plate theories
  • Fracture and failure of composite materials including fatigue – focus on failure criteria and their use
  • Finite element analysis of laminated composite structures with focus on shell and solid shell formulations
  • Introduction to basic concepts of gradient based structural optimization
  • Parameterization choices for laminated composites (continuous fiber angles and thicknesses, lamination parameters, Discrete Material Optimization (DMO), Discrete Material and Thickness Optimization (DMTO), etc.)
  • Efficient methods of Design Sensitivity Analysis for gradient based structural optimization
  • Inclusion of manufacturing constraints
  • Gradient based design optimization of laminated composite structures for linear and nonlinear problems including buckling problems

Prerequisites:
Participants are expected to have a basic knowledge in mechanics of solids corresponding to undergraduate level (Mechanical, Aero, Civil or Ship/Maritime engineering). The course is aimed specifically at Ph.D. students, but the course is also recommended for industrial engineers and engineering scientists. University staff and final year M.Sc. students are welcome as well. University staff, M.Sc. students and participants from industry may be exempted from the homework assignments and the course evaluation/examination. Course assignments are based on Matlab scripts, and it is expected that participants have Matlab installed. The public domain code Octave can also be used (https://www.gnu.org/software/octave/index.html).

Accommodation – Hotels
Aalborg offers a variety of accommodations, however, it is strongly advised to book hotel in time for low cost accommodation. An overview over the city and the accommodations can be found at 
http://www.visitaalborg.com. The organizers will recommend one hotel that is conveniently located and with low prices:

Cabinn Hotel Aalborg (https://www.cabinn.com/hoteller-danmark/cabinn-aalborg/) Fjordgade 20, DK-9000 Aalborg
Hotel CABINN Aalborg is the newest hotel in the city and opened in October 2009. The hotel is located in the centre of Aalborg. Prices from DKK 499.

Even cheaper accomodation is possible at the Aalborg Hostel, see http://uk.danhostelaalborg.dk/

Organizer: Professor Erik Lund, el@mp.aau.dk

Lecturers:
Erik Lund, Johnny Jakobsen and Esben Lindgaard, Department of Materials and Production, Aalborg University

ECTS: 5

Time: 2-6 May 2022

Place: Department of Materials and Production, Aalborg University, Pontoppidanstræde 105, room 3.115, DK-9220 Aalborg, Denmark

Number of seats:

Deadline: 11 April 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:
With the rediscovery of its strategic importance, Operations Management (OM) or, as it should be more appropriately called Operations and Supply Chain Management (OSCM), has undergone massive changes as a field of research in the last three decades. Until the early 1980s, OM research was focused on areas such as inventory management, scheduling, quality inspection and control, layout and location decisions. Today, with the enormous possibilities offered by Information Technology, massive globalization, and core competence thinking, industrial production is taking place in elaborate global supply chains and networks of partners each focusing on what they are best at and together aiming at delivering superior value to the global market place in a world, which is running out of natural resources, undergoing a climate change with possibly dramatic consequences, and suffering from natural and human disasters. Current OSCM research focuses on operations and footprint strategy, performance management, manufacturing and supply chain configurations and governance, sustainability, crisis management and humanitarian operations.

With the introduction of the Internet of Things and Services in manufacturing systems, the next wave of technology-driven innovation is on the doorstep, and one of the key questions for OSCM to address is: what are the implications of concepts such as Enterprise 2.0, Industry 4.0, and the smart factory of the future for OSCM as a field of practice and research?

While the progress in practice has been massive, OSCM has also been accused of being theory-poor and irrelevant for practitioners. The call to recognize OSCM for what it is, a field of management research and practice, which requiring the discipline to both improve its theoretical basis and practical relevance and accessibility, is become louder and louder.

The course on Advances in Operations and Supply Chain Management addresses several OSCM topics related to the management of “manufacturing systems of today and tomorrow”, including:

  • OM theory and practice – implications for research design

o   Relevance and the role of theory in OSCM research

o   Collaborative research strategies

o   Developing theory from research with practice

  • From mass manufacturing through lean production to agility and beyond

o   The principles of lean and agile production

o   Are lean and agile mutually exclusive concepts, mutually supportive concepts, or is lean an antecedent to agile?

o   What, if any, alternative concepts are just beyond the horizon?

  • The implications of Enterprise 2.0, Industry 4.0, smart manufacturing and the “factory of the future” for OSCM

o   How will OSCM as a field of practice and research be affected if factories and supply chains are populated by highly connected smart machines and smart (knowledge) workers?

  • Manufacturing strategy in a global context

o   Manufacturing strategy as a process

o   Footprint strategy

o   Global performance management

o   Globally sustainable supply networks

 

Organizer: Professor Dr. Harry Boer (hboer@business.aau.dk)

Lecturers:
Professor Dr. Harry Boer (AAU), Professor John Johansen, PhD (AAU), Professor Charles Møller, PhD (AAU), Associate Professor Cheng Yang, PhD (AAU)

ECTS: 4.0

Time: 9 - 11 November 2022

Place: Aalborg University, Aalborg

Number of seats: 16

Deadline: 19 October 2022


Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. 
We look forward to your registrations.


Description:
The idea of this course is to provide an overview of current challenges and research and especially ongoing research on faculty of Engineering and Science as AAU. The program will enable PhD students to understand how their specific research fits a wider frame and to learn state-of-the-art in related topics.

The plastics consumption is more than 300 mill. ton annually. This is around 10% of the oil and it contribute to landfill, ocean waste, increasing the amount of microplastics in the environment and carbon dioxide emissions. It is possible to recycle plastics fully (reuse, refurbish, recycle mechanically and chemical). To transform the current plastics, use towards recycling there are several barriers to overcome.

Organizer: Professor Jesper de Claville Christiansen, jc@mp.aau.dk.

Lecturers:
From Faculty of Engineering Aalborg university
Professor Jesper de Claville Christiansen, jc@mp.aau.dk
Professor Jes Vollertsen, jesvollertsen@build.aau.dk
Professor Ole Madsen; om@mp.aau.dk
Professor Brian Vejrum Wæhrens, bvw@mp.aau.dk
Associate Professor Thomas Helmer Pedersen, thp@energy.aau.dk

ECTS: 3.0

Time: Mid/end august

Place: Aalborg University

Number of seats:

Deadline: 25 July 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.