Description:
The course aims at strengthening skills in life cycle inventory analysis. The course targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience means for example having carried out simple LCAs before or having elementary knowledge of LCA theory. The course content is organized in three modules (main teacher in parenthesis). The course includes a mix of online and physical lectures. Part of each module is delivered using a flipped-classroom approach and pre-recorded videos that are provided to the students in advance. The physical lectures instead focus on hands-on exercises targeted to the completion of a portfolio and in discussion as well as Q&A rounds.

Module 1. Intro to advanced LCA (Massimo Pizzol)
In this hands-on module students will learn how to use the software Brightway2 for LCA research. Topics covered: Computational structure of LCA. Computer simulation and statistical approaches for uncertainty and sensitivity analysis in LCA. LCA reproducibility and data sharing. The module includes exercises.

Module 2. Consequential LCA (Bo Weidema)
Students will learn the fundamentals of Consequential LCA. Topics covered: Introduction to attributional and consequential models. Algorithms for performing consequential LCA in the definition of functional unit, consumptions mix, and identification of determining and dependent co-products. Communicating consequential models. The module includes exercises.

Module 3. Input output LCA (Jannick Schmidt)
Students will learn the fundamentals of Input-Output modelling. Topics covered: Supply-use tables, multi-regional models and trade linking. Integrating Process LCA and IO-analyses via hybrid LCA, tiered and embedded. The module includes exercises.

Prices:

Attendee / Price*
PhD students affiliated to a Danish University / Free
PhD students not affiliated to a Danish University / 4.500 DKK (600 EUR)
Academics (e.g. postdoc and professors) / 9.000 DKK (1.200 EUR)
Professionals (consultancy, industry, etc.) / 18.000 DKK (2.400 EUR)
*Prices do not cover meals or accommodation

Organizer:
The course is organized by The Technical Doctoral School of IT and Design, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es

Lecturers:
Bo Weidema, Professor
Jannick Schmidt, Associate Professor
Massimo Pizzol, Associate Professor
Søren Løkke, Associate Professor
Agneta Ghose, Postdoc

Registration and info:
Please apply via mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk). You must provide the following information in the email: Full name / Profession (PhD student, postdoc, consultant…) / Institution name / Address / email address / Phone nr / your research field of PhD topic / your experience with LCA.

ECTS: 5.0

ECTS Distribution:
The five ECTS credits of the course are divided roughly in this way:

Activity	Hours	ECTS
Lectures and group work in class	50	1.8
Readings	35	1.3
Group work prior to course	20	0.7
Group work after course	35	1.3
Total	140	5.0

*One ECTS credit is equivalent to 28 hours of work

Activities: Includes attending to the lectures and performing exercises in class.

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus python tutorials and videos.

Group work: Students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on an LCA of a product and does:

-          Prior to the course: choice of product and data mining, getting base knowledge and data to describe the products system.

-          During the course (exercises in class): consequential inventory with matrix format, IO LCA inventory, inclusion of iLUC, inclusion of social impacts, etc.

-          After the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools (skype, dropbox etc) to collaborate in group remotely prior and after the course.

Time: The equivalent of 6 full-days distributed between weeks 19-22

Place: TBA

Number of seats: 25

Deadline: 15 March 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.

Organizers
The course is organized by the Doctoral School of Engineering And Science, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es

Description
The course begins with an introduction to advanced inventory modelling using the techniques of consequential LCA and input-output (IO) LCA. The students will apply algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent co-products. Then, the students will use IO LCA to create inventories combining monetary and biophysical flows, and learn how to this technique is applicable to a range of purposes from mass-flow analysis to life cycle costing. The course will continue by bringing the above mentioned theories further into practice on two specific cases: modelling of indirect Land Use Changes (iLUC) and socio-economic impacts. The course targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching method. The course aims at strengthening skills in life cycle inventory analysis. Following the PBL model that focuses on learning by doing and reflection, the course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions. The course includes five days of full-time activities (09:00-16:00). When including readings and group work assignments, the total course workload corresponds to 5 ECTS (1 ETCS = 25 hours of work for the student). Optionally, participants can choose to write a paper based on their PhD project and combining the know-how developed during the course, and receive professional guidance from the course lecturers, based on distance supervision. The submission of the paper will have deadline 6 weeks after the last day of the course. Choosing this option will correspond to obtaining additional 3 ECTS.

Program
Day 1-2: Consequential modelling in life cycle inventory (BW, JS, SL, MP)
Day 3: Input-output modelling: the basics, hybrid LCA, IO-based mass flow analysis (BW, JC, SL, MP)
Day 4: Modelling of indirect land use change (BW, JS, SL, MP)
Day 5: Social LCA (BW, SL)

Lecturers
Bo Weidema (BW), Professor
Jannick Schmidt (JS), Associate Professor
Søren Løkke (SL), Associate professor
Massimo Pizzol (MP), Assistant professor

Registration and info
Please contact the course organizer Massimo Pizzol, email: massimo@plan.aau.dk

Period: 22-26 June, 2015

Venue: Aalborg University, Skibbrogade 5, room Skb5 1C/12, 9000 Aalborg, Denmark

Number of seats: 25

Registration deadline: 1 June, 2015

Course fee
Attendee Price 5 ECTS** [Price incl. paper writing 5+3 ECTS**]
PhD students (non-Danish) 3.000 DKK (400 EUR) [4.500 (600 EUR)]
PhD students (Danish)* 1.125 DKK (150 EUR) [1.125 DKK (150 EUR)]
Professionals 15.000 DKK (2.000 EUR) [22.500 DKK (3.000 EUR)]

* Due to a treaty among Danish universities, there is no admission fee for PhD students affiliated to a Danish institution– only course material and meals supplied during the course are charged.
** Accommodation, breakfast, and dinner are not included. Social dinner Monday is included.

Payment method
Bank transfer paid to the following account (deadline two weeks prior to course start):

Bank: Danske Bank, Prinsensgade 11, 9000 Aalborg
Account No: 4368-9189629
IBAN No: DK6730000009189629
SWIFT CODE: DABADKKK
Payment to Aalborg University, Skibbrogade 5, DK-9000 Aalborg
Reference: Your name and course name/10-212025-64301-762001-76262

Prices  

Attendee	Price*
PhD students affiliated to a Danish University	Free
PhD students not affiliated to a Danish   University	4.500 DKK     (600 EUR)
Academics   (e.g. postdoc and professors)	9.000   DKK (1200   EUR)
Professionals   (consultancy, industry, etc.)	18.000 DKK (2400 EUR)

* Prices do not cover meals or accommodation

Payment: Please find link to payment here  (payment no later than 25 April).

Organizers The course is organized by The Technical Doctoral School of IT and Design, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es

Description The course aims at strengthening skills in life cycle inventory analysis. The course targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience means for example having carried out simple LCAs before or having elementary knowledge of LCA theory. The course content is organized in three modules (main teacher in parenthesis).

Module 1. Intro to advanced LCA (Massimo Pizzol) In this hands-on module students will learn how to use the software Brightway2 for LCA research. Topics covered: Computational structure of LCA. Computer simulation and statistical approaches for uncertainty and sensitivity analysis in LCA. LCA reproducibility and data sharing. The module includes exercises.

Module 2. Consequential LCA (Bo Weidema) Students will learn the fundamentals of Consequential LCA. Topics covered: Introduction to attributional and consequential models. Algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent co-products. Communicating consequential models. The module includes exercises.

Module 3. Input output LCA (Jannick Schmidt) Students will learn the fundamentals of Input-Output modelling. Topics covered: supply-use tables, multi-regional models and trade linking. Integrating process LCA and IO-analysis via hybrid LCA, tiered and embedded. The module includes exercises.

Preliminary programme

Day 1 (08:00-16:00).	Day 2 (08:00-16:00).	Day 3 (08:00-16:00).	Day 4 (08:00-16:00).	Day 5	Day 6	Day 7 (08:00-16:00).	Tue 19 May (08:00-16:00).
Module   1 LCA   intro	Module   1 LCA   intro	Module   2 Conseq   LCA	Module   2 Conseq LCA	Break	Break	Module   3 IO   LCA	Module   3 IO   LCA

 

Lecturers

Bo Weidema, Professor Jannick Schmidt, Associate Professor Massimo Pizzol, Associate professor Søren Løkke, Associate professor Agneta Ghose, Postdoc

Registration and info

Please apply via mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk). You must provide the following information in the email: Full name / Profession (PhD student, postdoc, consultant…) / Institution name / Address / email address / Phone nr / your research field or Phd topic / your experience with LCA

ECTS Distribution The five ECTS credits of the course are divided roughly in this way:

 

*One ECTS credit is equivalent to 28 hours of work

 Activities: Includes attending to the lectures and performing exercises in class.

 Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus python tutorials.

 Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on an LCA of a product and does:

-        prior to the course: choice of product and data mining, getting base knowledge and data to describe the product system.

-        during the course (exercises in class): consequential inventory with matrix format, IO LCA inventory, inclusion of iLUC, inclusion of social impacts, etc.

-        after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools (skype, dropbox etc) to collaborate in group remotely prior and after the course.

Organiser: Massimo Pizzol; massimo@plan.aau.dk
Lecturers: Bo Weidema, Jannick Schmidt, Massimo Pizzol, Søren Løkke, Agneta Ghose

ECTS for students: 5
Time: 12-19 May 2020 
Place: Aalborg University, Rendsburggade 14, room Rdb14 3.329, 9000 Aalborg (DK) The course will be given ONLINE due to COVID-19 restrictions
Deadline for registration: 1 April 2020
Max. no. of participants: 25

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.

 

Welcome to Advanced LCA – Consequential and IO-based Life Cycle Assessment (2025)

Description: 

The course aims at strengthening skills in life cycle inventory analysis. The course targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. We also apply a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/videomeeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience means for example having carried out simple LCAs before or having elementary knowledge of LCA theory. The course content is organized in three modules.

Module 1. Consequential LCA

Students will learn the fundamentals of Consequential LCA. Topics covered: Introduction to attributional and consequential models. Algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent coproducts. Communicating consequential models. The module includes exercises.

Module 2. Stochastic LCA 

In this hands-on module students will learn how to use the software Brightway2 for stochastic and other LCA simulations. Topics covered: Computational structure of LCA. Computer simulation and statistical approaches for uncertainty and sensitivity analysis in LCA. LCA reproducibility and data sharing. The module includes exercises.

Module 3. Input output LCA

Students will learn the fundamentals of Input-Output modelling. Topics covered: supply-use tables, multi-regional models and trade linking. Integrating process LCA and IO-analysis via hybrid LCA, tiered and embedded. The module includes exercises.

Prices

Attendee / Price*

PhD students affiliated to a Danish University / Free

PhD students not affiliated to a Danish University / 4.500 DKK (600 EUR)

Academics (e.g. postdoc and professors) / 9.000 DKK (1200 EUR)

Professionals (consultancy, industry, etc.) / 18.000 DKK (2400 EUR)

* Prices do not cover meals or accommodation

Organizers: The course is organized by The Technical Doctoral School of IT and Design, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es

Registration and info: Please apply via mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk). You must provide the following information in the email: Full name / Profession (PhD student, postdoc, consultant…) / Institution name / Address / email address / Phone nr / your research field or Phd topic / your experience with LCA

ECTS: 5.0 --> ECTS Distribution:

The five ECTS credits of the course are divided roughly in this way:

Activity                                                   Hours   ECTS

Lectures and group work in class     50   1.8

Readings                                                    35   1.3

Group work prior to course                     20   0.7

Group work after course                     35  1.3

Total                                                     140  5.0

*One ECTS credit is equivalent to 28 hours of work

Activities: Includes attending to the lectures and performing exercises in class.

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus python tutorials and videos.

Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study. 

EXAMPLE, a group works on an LCA of a product and does:

- prior to the course: choice of product and data mining, getting base knowledge and data to describe the product system.

- during the course (exercises in class): consequential inventory with matrix format, IO LCA inventory, inclusion of iLUC, inclusion of social impacts, etc.

- after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools (skype, dropbox etc) to collaborate in group remotely prior and after the course.

Prerequisites: The course requires basic knowledge of Life Cycle Assessment, i.e. the knowledge of the tool that one might get at bachelor or master level. This means that the students need to have either a strong theoretical understanding of LCA or practical experience (having done some LCA studies before, even if simple). We don't teach the basics, and select the students based on their prior experience to make an homogeneous group and ensure a high starting level. In this way we can teach more advanced topics that are fit for a PhD level course.

Learning Objectives: 

• Knowledge
• Theoretical elements cover: computational structure of LCA, computer simulation, uncertainty and sensitivity analysis in LCA context, system models in LCA, algorithms for consequential LCA, monetary supply and use tables and different models for creating IO-model and hybrid LCA. 
• Skills
• Practical modelling skills with software Brightway2, including uncertainty and sensitivity analysis (local and global). Practical skills in consequential LCA modelling including identification of functional unit, consumption mix, and solving multifunctionality via substitution. Communicating consequential LCA models. Modelling indirect land use changes in LCA. Practical skills in using IO and hybrid LCA.
• Competences
• Apply advanced software, modelling approaches, and databases to address, solve, and communicate complex prospective questions on the life-cycle impact of products, within a research context and beyond.

Organizer: Massimo Pizzol (Prof.)

Lecturers: 

Massimo Pizzol, Professor

Jannick Schmidt, Professor

Søren Løkke, Associate professor

Agneta Ghose, Postdoc

Time: 

Online (all times 10:00-12:00)

Week 13 - Tue 25 March 2025

Week 13 - Thu 27 March 2025

Week 15 - Tue 8 April 2025

Week 15 -  Thu 10 April 2025

Week 17 - Tue 22 April 2025

Week 17 - Thu 24 April 2025

 

Onsite (all days 08:00-16:00)

12, 13, 14 May 2025, Monday to Wednesday

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 30

Payment: Those who are not affiliated to a Danish University, please pay the course fee with credit card using this payment link: https://www.events.aau.dk/event/phd-course-advanced-lca-consequential-and-io-based-life-cycle-assessment-2025
Deadline for payment 15 February 2025

Important information concerning PhD courses: 

There is 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 the 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 of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.

Welcome to Advanced LCA – consequential modelling, EIO LCA, iLUC, and social LCA

Description:
The course combines state of the art LCA with PBL-learning.
The students have the option of writing a paper based on their specific PhD projects combined with the knowhow they develop during the course.
Day 1-2: Consequential modeling in life cycle inventory
Lecturers: Professor Bo Weidema, Associate Professor Jannick Schmidt, Associate Professor Søren Løkke, and Anna Flysjö (Life Cycle Sustainability Manager, Arla Foods amba)

Day 3: Modeling of indirect land use change (iLUC)
Lecturers: Professor Bo Weidema, Associate Professor Jannick Schmidt, Associate Professor Søren Løkke.

Day 4: Input-output modeling (the basics, hybrid LCA, IO-based mass flow analysis and waste accounts)
Lecturers: Professor Bo Weidema, Associate Professor Jannick Schmidt, Associate Professor Søren Løkke.

Day 5: Rebound effects - a holistic approach to the technology factor and environmental assessment
Presenters: (all TBC) Jørgen Stig Nørgaard, Jannick Schmidt, Petter Næss, Carlo Aall, Jin Xue, Frede Hvelplund, Bo Weidema, Søren Løkke.

Organizer: Søren Løkke, email: loekke@plan.aau.dk , Jannick Schmidt and Massimo Pizzol

Lecturers: Søren Løkke, email: loekke@plan.aau.dk , Jannick Schmidt and Massimo Pizzol

ECTS: 5 or 8
The course has five days with face-to-face teaching, dialogue, and problem solving, this corresponds to 5 ECTS. Optionally, participants can choose to write a paper based on own case and learning from the course, and receive professional guidance based on distance supervision. The final submission of the paper will have deadline 6 weeks after the first day of the course. This corresponds to additional 3 ECTS.

Course fee:
Attendee Price 5 ECTS** Price (incl paper writing) 5+3 ECTS**
PhD students (non-Danish)* 3.000 DKK (400 EUR) 4.500 (600 EUR)
PhD students (Danish)* 750 DKK (150 EUR) 750 DKK (150 EUR)
Professionals 15.000 DKK (2000 EUR) 22.500 DKK (3000 EUR)
* Due to a treaty among Danish universities, there is no admission fee for Danish PhD students – only course material and meals supplied during the course are charged.
** Accommodation, breakfast, and dinner are not included. Social dinner Monday is included.

Please pay to the following account:
Bank: Danske Bank, Algade 53, 9000 Aalborg
Account No: 3201-9189629
IBAN No: DK6730000009189629
SVIFT CODE: DABADKKK
Payment to Aalborg Unversity, Skibbrogade 5, DK-9000 Aalborg
Reference: Your name and course name/10-212025-64301-762001-76262

Time: September 2- 6, 2013

Place: Aalborg University, City Centre

Zip code: 9000

City: Aalborg

Number of seats: 40

Deadline: August 22, 2013

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 5,000 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 three 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.

Welcome to Lifecycle assessment (LCA) in building construction

Description: 

This course aims at advancing knowledge and skills in life cycle assessment in the building construction domain. In our problem based-learning environment (PBL), the students will be actively involved in shaping their experience and outcomes. Activities include group work, problem defining and solving based on real-world cases, illustrative practical exercises and critical discussions.

Prior to the course the students will work in groups on a main subject of assessment and will prepare it for the further analysis during the course. This may be a theoretical subject or a specific assignment related to the student’s own activities. After the course, the report or paper will collect the study in a presentable manner. These deliverables will be shared among all participants for extending learnings across the groups.

Preliminary schedule:

Prerequisites: The target audience of the course includes academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience may include having carried out simple LCAs in practice or education or having elementary knowledge of LCA theory.

Learning objectives: The student will acquire advanced skills and knowledge in LCA related to construction and buildings and will be able to perform LCA to analyse a building’s life cycle impacts, propose mitigation measures and navigate in the most relevant methodological approaches critically.

Teaching methods: Lectures, workshops, exercises, group activities, reading, report writing.

Form of evaluation: Final report or paper, delivered two weeks after the final module.

Key literature: TBA

Organizer: Associate prof. Kai Kanafani, kak@build.aau.dk

Lecturers: 

Associate prof. Endrit Hoxha, BUILD

Associate prof. Kai Kanafani, BUILD

Postdoc Maria Balouktsi, BUILD

Postdoc Regitze Kjær Zimmermann, BUILD

Research Assistant Camilla Ernst Andersen, BUILD

Research Assistant Rasmus Nøddegaard Hansen, BUILD

ECTS: 3

Time: 21 May, 4 June 2025 

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 25

Deadline: 30 April 2025

Important information concerning PhD courses: 

There is 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 the 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 of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.

The course aims at building and strengthening competences in applied circular economy. The course targets the development of advanced skills in this domain by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection. The course applies a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/video meeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is primarily academics (PhDs, postdoc, other) and then professionals who intend to bring their competences in circular economy to an advanced level. The course include both theory and practice with group work on a specific case study. Working under the supervision of the course teachers during the physical summer school days in Aalborg, as well as working independently and remotely before and after the course, students apply the exercises provided in the theory modules to a specific case study chosen within the group, and then collect all the results in a portfolio.

Module 1. Circular economy, from theory to practice

In this first module students are presented to the different theoretical approaches to circular economy as well as to their respective critiques. The focus will be on discussions on narrowing, slowing and reducing resource flows, especially focusing on the inner circles of circular economy. We also address how the potentials for circular improvements are identified. The case of digitalization and role of ICT in circular economy is presented with extant cases on ICT for waste reduction, as Product service systems, social media to enable circularity. The module includes group-exercises where theories of circular economy are applied to the analysis of a case study.

Module 2. Circular business models and strategies

The hands-on module explores the diversity in circular business models, especially with focus on the inner circles. The relevance of including new types of actors in these business models is discussed and various real-world case studies are presented to the students. Moreover, generic principles and strategies are introduced that can be applied in the design and innovation process to ensure more circular outcomes, i.e. for narrowing, slowing and closing the use of resources. The module includes group-exercises where a circular business strategy is designed for a specific case study.

Module 3. Life cycle assessment of circular business strategies

In this hands-on module students will learn how to use Life Cycle Assessment for the development and evaluation of circular economy strategies. The module covers theoretical basis of LCA, from life cycle thinking to computational structure of LCA, to practical elements such as use of LCA software, interpretation, use of results in the development of life cycle management strategies, and communication of results. The module introduces to using LCA as a starting point for creating more circular products value propositions and their influence on relations to suppliers and users. The module includes group-exercises where LCA is applied to evaluate a circular strategy for a specific case study.

Prices

Attendee / Price*

PhD students affiliated to a Danish University / Free

PhD students affiliated to Maastricht University, TU Brandenburg, TU Delft / 2.250 DKK (300 EUR)

Other PhD students / 4.500 DKK (600 EUR)

Academics (e.g. postdoc and professors) / 9.000 DKK (1200 EUR)

Professionals (consultancy, industry, etc.) / 18.000 DKK (2400 EUR)

* Prices do not cover meals or accommodation

Organizers

The course is organized by The TECH faculty and the TECH Centre for Circular Economy (TECH4CE) as, well as the Technical Doctoral School of IT and Design, Aalborg University.

TECH4CE guest Prof. Nancy.Bocken (Maastricht Univ.), Melanie Jaeger-Erben (TU Brandenburg), Ruth Mugge (TU Delft) TECH4E members Assoc. Prof. Mette Alberg Mosgaard, Assoc. Prof. Michael Søgaard Jørgensen, Prof. Massimo Pizzol, Assoc. Prof. Louise Møller Haase, Assoc. Prof. Reza Tadayoni, Assoc. Prof. Bent Thomsen Assoc. Prof. Monia Niero + others from TECH… 

Registration and info

Please apply by filling this google form https://forms.gle/yHyaTnSBZcbVjtar7  

For informatin, please mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk).

ECTS Distribution

The five ECTS credits of the course are divided roughly in this way:

 

Activity / Hours / ECTS

Lectures and group work in class  / 50  / 1.8

Readings  / 35  / 1.3

Group work prior to course / 20  / 0.7

Group work after course / 35  /1.3

Total  / 140 / 5.0

*One ECTS credit is equivalent to 28 hours of work

Activities: Includes attending to the lectures and performing exercises in class.

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus tutorials and videos.

Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on a case study of applied circular economy a product and does:

-           prior to the course: description of case study, getting base knowledge and data to describe the product, service, or system under analysis.

-           during the course (exercises in class): applying methods and tools presented, for example developing a circular business strategy relevant for the case.

-           after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

 

At the end of the course all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools for video calls and file sharing to collaborate in group remotely prior and after the course.

ECTS:  5

DATES IN 2023 (attendance to 75% of online session and 100% of onsite session is required to be accepted to and pass the course)

Online sessions (CET)

8 May 10:00-12:00

16 May 10:00-12:00

23 May 10:00-12:00

25 May 10:00-12:00

30 May 10:00-12:00

1 June 10:00-12:00

Onsite sessions in Aalborg

13-14-15 September 

Number of seats: App. 25

Deadline: 

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.

Welcome to Summer School in Applied Circular Economy

Description: 

The course aims at building and strengthening competences in applied circular economy. The course targets the development of advanced skills in this domain by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection.

The course applies a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/video meeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops. The target audience of the course is primarily academics (PhDs, postdoc, other) and then professionals who intend to bring their competences in circular economy to an advanced level. The course include both theory and practice with group work on a specific case study. Working under the supervision of the course teachers during the physical summer school days in Aalborg, as well as working independently and remotely before and after the course, students apply the exercises provided in the theory modules to a specific case study chosen within the group, and then collect all the results in a portfolio. 

Module 1. Circular economy, from theory to practice 

In this first module students are presented to the different theoretical approaches to circular economy as well as to their respective critiques. The focus will be on discussions on narrowing, slowing and reducing resource flows, especially focusing on the inner circles of circular economy. We also address how the potentials for circular improvements are identified. The case of digitalization and role of ICT in circular economy is presented with extant cases on ICT for waste reduction, as Product service systems, social media to enable circularity. The module includes group-exercises where theories of circular economy are applied to the analysis of a case study. 

Module 2. Circular business models and strategies 

The hands-on module explores the diversity in circular business models, especially with focus on the inner circles. The relevance of including new types of actors in these business models is discussed and various real-world case studies are presented to the students. Moreover, generic principles and strategies are introduced that can be applied in the design and innovation process to ensure more circular outcomes, i.e. for narrowing, slowing and closing the use of resources. The module includes group-exercises where a circular business strategy is designed for a specific case study. 

Module 3. Life cycle assessment of circular business strategies 

In this hands-on module students will learn how to use Life Cycle Assessment for the development and evaluation of circular economy strategies. The module covers theoretical basis of LCA, from life cycle thinking to computational structure of LCA, to practical elements such as use of LCA software, interpretation, use of results in the development of life cycle management strategies, and communication of results. The module introduces to using LCA as a starting point for creating more circular products value propositions and their influence on relations to suppliers and users. The module includes group-exercises where LCA is applied to evaluate a circular strategy for a specific case study. 

Prices Attendee / Price* 

PhD students affiliated to a Danish University / Free 

PhD students affiliated to Maastricht University, BTU Cottbus, TU Delft / 2.250 DKK (300 EUR) Other PhD students / 4.500 DKK (600 EUR) 

Academics  (e.g. postdoc and professors) / 9.000 DKK (1200 EUR) 

Professionals (consultancy, industry, etc.) / 18.000 DKK (2400 EUR) 

* Prices do not cover meals or accommodation Organizers The course is organized by The TECH faculty and the TECH Centre for Circular Economy

 (TECH4CE) as, well as the Technical Doctoral School of IT and Design, Aalborg University. 

Registration and info Please apply by filling this google form https://forms.gle/yHyaTnSBZcbVjtar7 Each application will be evaluated, and we will return back to you if you are accepted for the course. 

For further information, please mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk). 

ECTS Distribution The five ECTS credits of the course are divided roughly in this way: Activity / Hours / ECTS Lectures and group work in class / 50 / 1.8 Readings / 35 / 1.3 Group work prior to course / 20 / 0.7 Group work after course / 35 /1.3 Total / 140 / 5.0 *One ECTS credit is equivalent to 28 hours of work Activities: Includes attending to the lectures and performing exercises in class. Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus tutorials and videos. Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study. EXAMPLE, a group works on a case study of applied circular economy a product and does: - prior to the course: description of case study, getting base knowledge and data to describe the product, service, or system under analysis. - during the course (exercises in class): applying methods and tools presented, for example developing a circular business strategy relevant for the case. - after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study. At the end of the course all portfolios are made available. Each student will thus get the info on five different cases. Students should be able to organize themselves using online tools for video calls and file sharing to collaborate in group remotely prior and after the course. 

Prerequisites: 

The course is intended to be interdisciplinary and therefore is open to participants of different background (from Architecture to IT) so there are no strict prerequisites. The course will address basic as well as advanced elements of the circular economy methodological landscape, for a mixed audience. However, the course is primarily designed to target students at the TECH faculty, which have background in environmental management, architecture and design, electronic systems, and computer science. So the course case studies will also be in these domains. Participants with background substantially different from these domains are recommended to explain clearly in their application what is the circular economy angle in their PhD project. Basic knowledge of environmental management, sustainability, and life cycle thinking is an advantage, as well as any practical experience with circular economy problems or having approached some case studies on circular economy before.

Learning objectives: 

Knowledge The course aims at providing a strong theoretical understanding of circular economy. Theoretical elements cover: theoretical bases of circular economy, circularity principles and strategies in the design and innovation process, theoretical basis of life cycle assessment from computational structure to standards. Cases and opportunities in the nexus digitalization/circular economy. Skills The course aims at providing a practical skills in applied circular economy. Skills include: practical approaches to define circular economy problems and developing circular strategies and business models, practical skills in LCA software and models to evaluate circular economy strategies. Competences Apply advanced theoretical insights, business models, LCA modelling approaches to address, solve, and communicate complex real-life questions on the circularity of products, services, organizations, within a research context and beyond.

Organizer: 

Mette Mosgaard (assoc. Prof) and Massimo Pizzol (Prof)

Lecturers: 

TECH4CE guest Prof. Nancy.Bocken (Maastricht Univ.), Melanie Jaeger-Erben (TU Brandenburg), Ruth Mugge (TU Delft) TECH4E members Assoc. Prof. Mette Alberg Mosgaard, Assoc. Prof. Michael Søgaard Jørgensen, Prof. Massimo Pizzol, Assoc. Prof. Louise Møller Haase,  Assoc. Prof. Reza Tadayoni, Assoc. Prof. Bent Thomsen + other colleagues from TECH.

ECTS: 5

Time: 

Online

Week 21 Tue 2025-05-20 10:00 - 12:00 Module 1

Week 21 Thu 2025-05-22 10:00 - 12:00 Module 1

Week 23 Tue 2025-06-03 10:00 - 12:00 Module 2

Week 23 Thu 2025-06-04 13:00 - 15:00 Module 2

Week 25 Tue 2025-06-17 10:00 - 12:00 Module 3

Week 25 Thu 2025-06-19 10:00 - 12:00 Module 3

Onsite

Week 27 Mon 30 June Module 1

Week 27 Tue 1 July Module 2

Week 27 Wed 2 July Module 3

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 25

Deadline: TBA

Important information concerning PhD courses: 

There is 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 the 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 of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.