Welcome to Virtualization of health care

Organizer: Christian Nøhr

Lecturers: Faculty: Christian Nøhr, Professor, Department of Sustainability and Planning, AAU  Craig Kuziemsky, Adjunkt Professor, Department of Sustainability and Planning, AAU, and MacEwan University, Edmonton, Alberta, Canada. Blake Lesselroth, Vice-Chair and Associate Professor, Department of Medical Informatics Adjunct Associate Professor and Teaching Hospitalist, Department of Internal Medicine School of Community Medicine, University of Oklahoma |OU-Tulsa. Helen Monkman, Assistant Professor, Health Information Science. University of Victoria, BC, Canada. Arild Faxvaag, Professor, Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences. Norwegian University of Science and Technology. Sidsel Villumsen, Post Doc, Department of Psychology and Behavioural Sciences, Århus University Jeppe Eriksen, Assistant Professor, Department of Sustainability and Planning, AAU Johanna Viitanen, Assistant Professor, Human-Centred Health Informatics, Department of Computer Science, Aalto University, Helsinki, Finland

ECTS: 5

Date/Time: 15, 16, 17 May 2024

Deadline: 25 March 2024

Max no. Of participants: 20

Description: The digitalization of the health care sector has been significantly slower compared to other sectors despite very large efforts in research, development, and implementation activities. It is often seen that in specific crisis situations technology can fundamentally change routines and cultural norms. For instance, the COVID-19 pandemic shifted the digital health landscape by stimulating the delivery of digital care. When doctors’ offices and other care delivery services were forced to close or greatly reduce in person service delivery, digital care delivery became an essential part of the healthcare delivery system. However, the absence of permanent changes in the informatics response to COVID-19 has reaffirmed one of the foundational problems in medical informatics – “the last mile problem”. This problem refers to the difficulty in implementing and integrating informatics models, tools, and approaches into actual care delivery settings so that meaningful outcomes are achieved. The last mile problem is very much central to health system transformation initiatives. Informatics models, tools, or theories alone will not transform healthcare delivery but rather they must lead to meaningful impact at social, policy, economic, cultural, and other levels.

One of the most talked about phenomena in medical informatics are unintended consequences (UICs), which refers to the outcomes that occur but that were not anticipated when implementing health information technology (HIT). UICs occur because while HIT is a crucial part of healthcare delivery it is only one part of the system of systems that defines healthcare delivery. HIT’s interaction with other system components is what leads to UICs. Informatics solutions for COVID-19 have led to UICs including provider fatigue and burnout and inequality in access to digital care delivery.

A key contributor to the last mile problem is a poor understanding of the contextual system where HIT is implemented and used. HIT are not generic tools and cannot be implemented without due consideration of the contextual environment where it will be used.

This PhD course will present international research which contributes to an understanding of the main problem areas and discuss the development of methods to overcome the “last mile problem”. During the course international researchers will present their research in morning sessions. In the afternoons the students will present their research ideas and activities which will be discussed by the course faculty.

The PhD course will be relevant to students from a wide range of science areas: Planning, Techno anthropology, Medicine, Public health, Biomedical engineering, Computer Science, Political Science. Students from all universities in Denmark and possibly our neighboring countries can participate.

 

Prerequisites: Basic knowledge of the organization of the health care system. Basic knowledge of information technologies used in health care

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 3000 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 Sustainability, Circularity, and Product Policies

Organizer: Rikke Dorothea Huulgaard

Lecturers: Rikke Dorothea Huulgaard, Anja Marie Bundgaard, Arne Remmen, Heidi Simone Kristensen

ECTS: 4

Date/Time: 6-8 November 2024 & online 28 November 2024

Deadline: 15 October 2024

Max no. Of participants: 15

Description: The aim of this course is to introduce the PhD candidates to product policies and how these can help the sustainable and circular transition, with a special focus on the EU. The course provides PhD candidates with an in-depth engagement in key elements within product policies, the practice of implementation and efficiency of the policies.

Participants will be introduced to current/recent directives, regulations, and proposals as well as current issues and debates surrounding the policies.

The course features a mix of lectures, group work, panel discussions.

The Course is relevant for PhD students from a wide range of areas such as law, industry, design, environmental science, engineering.

 

Day 1: Introduction to EU’s product policy, Green Deal and Circular Action Plan. Overview of the vast array of EU product policies, such as the Ecodesign Directive, Energy labelling, WEEE Directive, Batteries Regulation, Packaging Regulation, Ecolabels and Corporate Sustainability Reporting Directive. The dynamics of the different policy instruments.

Day 2: Focus is the new Ecodesign for Sustainable Products Regulation and the Digital Product Passport. The Regulation will replace the Ecodesign Directive and will cover almost all products on the EU market, setting requirements to support a circular transition. The digital product passport is one tool to

Day 3: Extended producer responsibility & the role of standardization in the EU product Policies.

Day 4: Introduction to green and circular public procurement, & environmental policies as barrier for a sustainable and circular transition. Overview of procurement regulation, mandatory and voluntary policy tools, strategic public procurement, policy translation and implementation in practice. The role of public procurement in circular economy.

Prerequisites: No prerequisites, other than an interest in environmental product policies. The Course is relevant for PhD students from a wide range of areas such as law, industry, design, environmental science, engineering.

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 3000 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 Spatial Decision Support Systems for landuse/maritime spatial planning 

Organizer: Ida Maria Bonnevie & Jamal Jokar Arsanjani

Lecturers: Ida Maria Bonnevie, Jamal Jokar Arsanjani, Irma Kveladze

ECTS: 3

Date/Time: 22 - 25 April 2024

Deadline: 1 April 2024

Max no. Of participants: 20

Description: Maritime and landuse Spatial Planning is a complicated process balancing different uses of the sea without making severe impacts on the environment.

The aim of this PhD course is to introduce the PhD students to various methodologies for spatial decisions support, give them an overview of existing systems, and discuss relevant evaluation criteria and decision alternatives in the context of maritime spatial planning. The PhD course is closely related to the Baltic Sea as a case study region and will include experiences and results from international research projects covering this region e.g. BONUS BASMATI and BalticRIM.

The course will cover the following topics:

•                           Introduction to spatial decision support systems

•                           Evaluation criteria and decision alternatives

•                           Data handling and quality assessment

•                           Weighting methods

•                           Sensitivity analysis in multi-criteria decision making

•                           Location and allocation problems using multiple criteria analysis

•                           Collaborative decision making

•                           Knowledge about appropriate software

•                           The role of decision support systems in maritime spatial planning

•                           Cumulative impact assessment

•                           Case studies – feedback on students work

Before the course each PhD student must deliver a description of their PhD work and scientific reflections on their potential use of spatial decision support systems.

After the course the PhD students must submit a draft paper (4-6 pages) on their own use of spatial decision support systems.

Prerequisites: the ability and passion to solve societal challenges using decision support systems in a data-driven manner

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 3000 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 Energy System Analysis on the EnergyPLAN model

Organizer: Henrik Lund

Lecturers: Poul Alberg Østergaard , Henrik Lund, Jakob Zinck Thellufsen & Brian Vad Mathiesen

ECTS: 5

Date/Time: 22, 23, 24, 25 April 2024

Registration: Enrol via Moodle and pay via credit card here. Your registration is not valid without payment. 

Deadline for registration: 1 April 2024

Max no. Of participants: 30

Description: The use of Energy Systems Analysis tools is becoming increasingly important for PhDs around the world. The PhD course gives an introduction to advanced energy system analysis using the EnergyPLAN computer model. After the course the participants are expected to be able to understand methodologies of advanced energy system analysis and to be able to use the EnergyPLAN computer model as a tool in making energy system analyses.

The course is conducted as a combination of lectures and computer workshops of a total of 4 days (32 hours) and assignments of a total of 6-7 days (52 hours).  Results of assignments will be presented by the participants.

The course start with an introduction to the model (installation, using, constructing new data sets) and proceeds to focus on the use of the model in

·         sustainable cities and communities

·         technical analyses of large-scale integration of wind.

·         analyses of exchange with external electricity markets

·         combinations of different renewable energy technologies.

·         designing flexible energy systems using flexible technologies such as heat pumps, hydrogen storage, pumped storage etc.

·         district heating systems versus individual houses and zero energy buildings

·         designing energy systems based on multiple criteria

 

Prerequisites: Prior to the course al participants are requested to conduct the following:

1. Install EnergyPLAN from energyplan.eu

2. Consider how you wish to use EnergyPLAN – preferably in your Ph.D. project – alternatively in independent analyses only made for the Ph.D. course (notice that agenda for the first morning – third bullet-point)

3. Read the FIDE guide (Finding and inputting data to EnergyPLAN) from energyplan.eu and consider what data you will need to do 2.

4. There are a number of training exercises at energyplan.eu You are strongly encouraged /expected to do these beforehand as this will enable you to make more advanced independent analyses during the actual course

5. Read the articles

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 3000 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 Mixed Methods

Organizer: Professor Xiangyun Du 

Lecturers: Aida Guerra

ECTS: 3

Date/Time: August 28-30 2024

Deadline: August 9 2024

Max no. Of participants: 25

Description:

Intended learning outcomes:  Participants are expected to 1) analyse needs for mixed methods research, and 2) design mixed methods research using diverse strategies.

Assessment:

Submission of a collaboratively written mixed methods research proposal by Sep15, 2024 (3-4 pages). The research proposal shall employ a design involving minimal two phases sequentially. The design shall preferably illustrate the use of a theoretical lens, such as the complexity theory, a feminist perspective, etc. The design may give priority to either qualitative data or quantitative data collection and include certain considerations on prospective data analysis. A template is provided for inspiration.

Course activities:

A problem and project-based learning approach is adopted in this course, involving participants working in group on real-life issues identified on their own. The team-based project work is throughout the course which will lead to an outcome/product of a collectively written research proposal to be submitted by Sep15, 2024.   

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 3000 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 Sustainability and Digital Transformation

Organizer: Maurizio Tell

Lecturers: Andrea Botero Cabrera, Aalto Finland, Chiara Rossitto, Stockholm, Maurizio Tell, Sustainability and Planning , AAU, Markus Lõchtefeld, Dept. Architecture, Design and Media Tech., AAU, Jens Juel.Stissing, Plan, AAU, Lene Sørensen, Electronic Systems, AAU

ECTS: 3

Date/Time: Online: 7, 22, 28 May- Physical 6, 7 June 2024

Deadline: 16 April 2024

Max no. Of participants: 20

Description: This course aims at providing knowledge and concrete examples of sustainable digital transformation, and of the different approaches that can shape and frame it. The course draws on the need for a profound transformation of socio-ecological dynamics to ensure a livable future for all. The required transformation should, at the same time, be sustainable and digital, and it should include the multitude of social, environmental, and technological elements that constitute the fabric of human practices of living in a common world. The course will discuss what this can mean through examples, which will be selected by the teachers based on the research questions of the participants. Such concrete topics can include, but are not limited to, data caring, waste management, sustainable interaction design, commoning practices, cooperative platforms, green algorithms, and so on and so forth. The course will raise questions on the effects, values and stories linked to data and digitalization, as well as discuss how caring for the climate and environment can scope and create new social-technical configurations.

The course is built on the principles of the PBL model that focuses on learning by doing and reflection. The course is set-up in a hybrid format (online and physical presence), with: 1) a preliminary online sessions to agree on a shared problem that can align the different research questions of the participants; 2) short online sessions to discuss the literature selected by the teachers in relation to the problem identified before, and 3) in-person sessions to provide applications of theories and principles to the participants’ own work. Principles of a flipped classroom are used; literature, videos etc. are provided to the students well before a video/classroom meeting to discuss, comment and question the material. Physical attendance will then include individual and group work around students’ own work, as well as other cases, exercises, discussion sessions and workshops.

Prerequisites: The course is interdisciplinary and open to participants of different backgrounds, although a research focus on sustainable futures and/or digital technologies is necessary for thematic alignment with the course topics. As a PBL initiative, the course will be rooted in the individual participants research questions, to show how research on sustainable and digital transformation

can benefit the individual research trajectories and allow for the construction of a network of early career researchers contributing to the needed sustainable and digital transformation.

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 3000 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

Organizer: 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

Date/Time: Six online sessions in the period April – June 2024 + three full days onsite in September 2024. (attendance to 75% of online session and 100% of onsite session is required to be accepted to and pass the course)

Deadline: 4 March 2024

Max no. Of participants: 25

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.

 

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 3000 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.



>>THE 2024 EDITION IS FULL<<

TO JOIN THE WAITING LIST FOR 2025 PLEASE FILL THIS google form👇

https://forms.gle/ySAMUvbYNkYsCvMi9

CONTACT & INFO massimo@plan.aau.dk


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

Organizer: Massimo Pizzol (Prof.)

Lecturers: Massimo Pizzol (Prof.) Jannick Schmidt (Prof.) Søren Løkke (Lektor.) Agneta Ghose (Adjunkt)

ECTS: 5

Date/Time: 6 days online: 9,11,16,18,25 April 2024 and 3 days physically in Aalborg: 13,14,15 May 2024

Deadline: 19 March 2024

Max no. Of participants: 30

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/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 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

 

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 a 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.

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 3000 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.