General PhD Skills (2024)

Through participation in this course, the PhD student acquires knowledge and understanding of the use of a number of professional online tools designed to support a career in research. The course emphasizes acquisition of both theoretical and practical knowledge about research registration, profiling and evaluation, as well as the growing focus on Open Science.  

The course leans on the idea behind Scholarly Communication, which is defined by the Association of College & Research Libraries as "the system through which research and scientific publications are registered, subjected to quality assessment, disseminated to the scientific community, and preserved for future use." (ACRL Scholarly Communications Committee2003)  

 The purpose of the course is to enable PhD students to create their own sustainable strategies for publishing and disseminating research and research results, and to provide them with tools for evaluation. The course will address both traditional academic tools and introduce more recent methods.  

The course specifically addresses the following topics:  

Open Science/ Open Knowledge - including Open Access publishing  

• Scholarly Communication: What does it mean to you as a researcher? 
• Research registration - introduction to research registration and researcher profiles in VBN (Aalborg University's research portal) and associated systems
• Researcher profiling – to strengthen the exposure of ​own research and research profile
• Research evaluation – introduction to traditional and new methods including citations, h-index and alternative metrics
• Copyright and plagiarism for PhD students with a primary focus on the thesis
• The course is aimed at all PhD students, and the teachers will facilitate an interdisciplinary discussion among the participants. 

Course frame 

The course is an independent part of the course series offered to PhD students at Aalborg University Library. The course is announced at Plan2Learn and Moodle, where more information and course material are available. The course is available to PhD students from all Danish universities. 

The course varies between presentations, exercises and plenary discussions. The exercises take place in groups where the students either discuss or do course-related hands-on assignments. In addition, there is a final test, which is assessed as "passed/failed". In order to obtain course ECTS points, your presence is required on the course day along with a “passed” final test. 

The course is primarily aimed at PURE users. If you do not have access to AAU's PURE installation, you will still be able to use what you have learned when you get back to your own institution. However, there will be local differences in the options offered by the system. 

The course is in English. 

There is a reading list attached to the course. 

Planning and teaching: The VBN Team 

Course learning targets: 

• The course provides the PhD student with a toolbox for strategic focus on researcher profiling, including:
• How to get an overview of registration and dissemination requirements for PhD research results in a scientific context. This includes the actual PhD  thesis, as well as preparation of different types of publications and profiles. 
• How to acquire new knowledge regarding opportunities and strategies for publishing research, including Open Access.   
• Providing the PhD student with skills to develop communication strategies. This may include an understanding of how to work with Open Science e.g. through qualitative and quantitative metrics. 

Organizer: Kathrine Bjerg Bennike og Anna Stegger Gemzøe

Lectures:   Kathrine Bjerg Bennike og Anna Stegger Gemzøe

ECTS: 1

Time: October 9 2024, 09:00 - 14:30

Place: Kroghstræde 3, lokale  4.128 (Lindgren)

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline:  September 18 2024

Fecher, Benedikt, and Sascha Friesike. 2013. “Open Science: One Term, Five Schools of Thought.” Opening Science, 17–47. https://doi.org/10.1007/978-3-319-00026-8_2 

Kathawalla, Ummul-Kiram, Priya Silverstein, and Moin Syed. 2021. “Easing into Open Science: A Guide for Graduate Students and Their Advisors.” Collabra: Psychology 7 (1). https://doi.org/10.1525/collabra.18684

Leonelli, Sabina. 2023. “Philosophy of Open Science”. https://doi.org/10.1017/9781009416368 Read the introduction

Melchiorsen, Poul Meier. 2019. “Bibliometric Differences – a Case Study in Bibliometric Evaluation across SSH and STEM.” Journal of Documentation 75 (2): 366–78. https://doi.org/10.1108/jd-07-2018-0108

Stoustrup et al. 2023. “ AAU Research Indicator: For the advancement of scientific publishing, impact,  collaboration, visibility, openness, and innovation at Aalborg University,” Aalborg University. https://doi.org/10.54337/aau524581687

Watson, Mick. 2015. “When Will ‘Open Science’ Become Simply ‘Science’?” Genome Biology 16 (1). https://doi.org/10.1186/s13059-015-0669-2

Further reading:  

Agreement on Reforming Research Assessment (ARRA) (2022) https://coara.eu/app/uploads/2022/09/2022_07_19_rra_agreement_final.pdf

Bornmann, Lutz, and Robin Haunschild. 2018. “Alternative Article‐Level Metrics.” EMBO Reports 19 (12). https://doi.org/10.15252/embr.201847260

Cintra, Paulo Roberto, Ariadne Chloe Furnival, and Douglas Henrique Milanez. 2018. “The Impact of Open Access Citation and Social Media on Leading Top Information Science Journals.” Investigación Bibliotecológica: Archivonomía, Bibliotecología E Información 32 (77): 117. https://doi.org/10.22201/iibi.24488321xe.2018.77.57874

The San Francisco Declaration on Research Assessment (DORA) (2012) https://sfdora.org/

Schönbrodt, Felix. 2019. “Training Students for the Open Science Future.” Nature Human Behaviour 3 (10): 1031–31. https://doi.org/10.1038/s41562-019-0726-z

Smart, Palie, Sara Holmes, Fiona Lettice, Frederick Harry Pitts, Jeremy Basil Zwiegelaar, Gregory Schwartz, and Stephen Evans. 2019. “Open Science and Open Innovation in a Socio-Political Context: Knowledge Production for Societal Impact in an Age of Post-Truth Populism.” R&D Management 49 (3): 279–97. https://doi.org/10.1111/radm.12377

UNESCO Recommendation on Open Science (updated 2023) https://www.unesco.org/en/open-science/about?hub=686

Voytek, Bradley. 2017. “Social Media, Open Science, and Data Science Are Inextricably Linked.” Neuron 96 (6): 1219–22. https://doi.org/10.1016/j.neuron.2017.11.015

CANCELLED

Welcome to the course – Data Management and the FAIR principles - NEW course dates May 16 and 30.

In this course you will get a thorough introduction to the importance of a data management plan (DMP) and how to create one. Moreover, the course will introduce the FAIR principles and how to implement them in your research. 

The course objective is thus to promote good research practices by helping the participant make informed choices in relation to planning and executing research processes such as data collecting, data analysis, data storing and sharing.  

 The course will be split into two workshops aimed at supporting the individual PhD student in planning the data handling that is inherent to the PhD project.  

Be aware that the course includes homework. Before the first day of teaching, 4 hours of homework is expected to get an introduction to the topics and materials, and then 15 hours of homework drafting a DMP and working on a dataset is to be expected between 1^st and 2^nd day of teaching. At sign-up, participants will be enrolled in both workshops, and attendance at both are required.  

Teaching day #1                             

Welcome and introduction to the course Data Management and the FAIR principles 
FAIR principles (making data that is Findable, Accessible, Interoperable and Reusable) 
Exercise LEGO 
What is a DMP and why is it important? 
Introduction to AAU generic DMP template 
Question 1-4 on the DMP template 
Question 5-8 on the DMP template 
Workshop 
Questions and explanation of homework. 

Teaching day #2 

Welcome and status on homework 
How did you make the dataset FAIR? 
How did you approach making your own DMP? 
Closing, including the option of individual follow up arrangements.  

Homework before 1^st day of teaching (estimated time requirement: 4 hours):  

To get a basic understanding of data management and the FAIR principles, please look at the following links and make the exercises prior to the first day of teaching: 

1.      Welcome to DeiC DMP. - in this link, you will find a tool for creating DMP’s, as well as different templates for DMP’s. Please create an account before we meet for the first day of teaching. Here is a guide for creating an account and an introduction to the AAU generic DMP template: DMP AAU template.mp4.  

2.      https://howtofair.dk/what-is-fair/ - in this link, you will find an introduction to the FAIR principles. Please read the information contained in this link and watch the three videos at the bottom - module 1 (Introduction), module 2 (FAIR principles) and module 3 (Data Management Plans). 
 

3.      https://howtofair.dk/why-fair/ - in this link, you will find an introduction to the purpose of knowing and using the FAIR principles. Please read the information contained in this link and watch the four videos with Susanna and Barend. 

4.      https://howtofair.dk/how-to-fair/ - in this link, you will get an introduction to how you can make your research data more FAIR by taking you through six FAIRification practices. Please read the information contained in this link and watch the four videos with research projects used as examples. Moreover, you must also read the six attached documents in the bottom of the link. 
 

5.      https://fair-office.at/lernen-sie-mehr/?lang=en – in this link, you will find nine videos lasting between 5-10 minutes. Please watch eight of the nine videos prior to the course (not the video on metadata, as it is in German). 

6.      https://howtofair.dk/quiz/ - in this link, you will find three quizzes. One on qualitative, one on quantitative and one on sensitive quantitative data. Please go through all three and please note, that you will not be held accountable for you correct/incorrect answers during the course. 

 Homework before 2^nd day of teaching (estimated time requirement: 15 hours in total): 

1. The following two exercises need to be done between the 1^st and 2^nd day of teaching: FAIRification of data 

For this exercise you must use this dataset; https://doi.org/10.5061/dryad.7d7wm37wp. 

Please evaluate the FAIRness of the dataset, using following guide to refresh the principles; “How FAIR are your data[1] ”; https://doi.org/10.5281/zenodo.1065991. Go through each of the letters in FAIR and assess, whether the dataset follows the four principles. 

2. Start writing your own Data Management Plan 

Start writing a DMP on your Ph.D. project. Use the AAU generic template to write your DMP. You will find the template at DMPonline. You do not have to hand in your data management plan or send us anything. We will talk about your data management plan in groups on day 2 of teaching.  

The first version does not have to be perfect or done. If you need inspiration to start writing your DMP, you can have a look at the following materials for inspiration. 

Materials for inspiration: 

1.      You can use the following guidance from Science Europe to help reflect on what to write in the different questions of your Data Management Plan; https://scienceeurope.org/media/4brkxxe5/se_rdm_practical_guide_extended_final.pdf  

2.      You can browse through existing Data Management Plans for inspiration: 

-          REPAIR draft Data Management Plan 

-          Data Management Plan: Empowering Indigenous Peoples and Knowledge Systems Related to Climate Change and Intellectual Property Rights 

  Additional reading 

  Below you will find suggestions for additional reading materials. This is not part of the 15 hours dedicated for homework and therefore voluntary.   

-          A FAIRy tale; https://doi.org/10.5281/zenodo.2248200      

-          FAIR Principles: Interpretations and Implementation Considerations: https://doi.org/10.1162/dint_r_00024 

-          A basic introduction to Data management; Managing and sharing research data: a guide to good practice. Corti, Louise, author. 2020; 2nd edition – you can get this book at AUB. 

Organizer:  
CLAAUDIA CLAAUDIA - Aalborg University 
 
Lecturers:  
Dagmar Knudsen Fallesen 
Kamilla Hall Kragelund 
Thomas Andersen 
Dennis Aagaard Pedersen 

ECTS:  1 

 
Date: May: 16 and 30.

 Place: Fredrik Bajers Vej 1/ A.0.03, Aalborg campus, 9220 East 

Number of seats:  14 

 Deadline:  May 2st, 2024 

 For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk. 

 
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 1 week 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 Academic Information Searching - Methods, Sources and Socumentation - G CPH (2024)

Description:

This course is about the various aspects that are important when searching for literature as part of your PhD.

• Structured literature search – How to apply a structured method to prepare and carry out your search e.g. for a literature review
• Evaluating and organising your search - How to prepare and apply relevant criteria for assessing and documenting the search results. How reference management tools can facilitate the process of organising search results
• Other perspectives on searching – How to use text mining, citation search and other tools to find relevant literature

We recommend that you take this course in the beginning of your PhD.

The course is a “toolbox for research”-course with a mix of presentations and hands-on activities, either individually focusing on your own PhD-project or in small groups with a shared focus. Remember to bring your computer.


Preparation prior to the course: Please read the articles on the reading list (will be attached later). 

Assignments: There will be both class activities and a home assignment. The home assignment will be introduced during the course. You are required to complete the assignment after the course and hand it in by a specific date, usually a week later

Accommodation: There will be coffee and tea during the day. You will have to bring your own lunch. Alternatively, you can buy food at the canteen at A. C. Meyers Vænge 15.


Course language: English

Organizers: Charlotte Wind & Rikke Perregaard Bentzen


Lecturers: Charlotte Wind & Rikke Perregaarrd Bentzen

ECTS: 1

Time: 21 November 2024

Place: Copenhagen Campus, A. C. Meyers Vænge 15

Zip code: 2450

City: Copenhagen SV

Number of seats: 20

Deadline: 31 October 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 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.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk.

Welcome to Academic Information Searching : Methods, Sources and Documentation (Tech/Eng) - D 2024

Description: The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhD.


We recommend that you take this course in the beginning of your PhD.

The course covers these areas:

• Structured literature search – How to apply a structured method to prepare and carry out your search e.g. for a literature review
• Evaluating and organising your search - How to prepare and apply relevant criteria for assessing and documenting the search results. How reference management tools can facilitate the process of organising search results
• Other perspectives on searching – How to use text mining, citation search and other tools to find relevant literature


The course is a “toolbox for research”-course with a mix of presentations and hands-on activities, either individually focusing on your own PhD-project or in small groups with a shared focus. Remember to bring your computer.

Preparation prior to the course: Please read the articles on the reading list (in the folder "Course Documents"). 

Assignments: There will be both class activities and a home assignment. The home assignment will be introduced during the course. You are required to complete the assignment after the course and hand it in by a specific date, usually a week later.

Accommodation: There will be coffee and tea during the day. You will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.


Course language: English

Organizers: Louise Thomsen, M.Li.Sc. e-mail: lt@aub.aau.dk 

Lecturers: Helle Brink, M.Li.Sc. e-mail: hb@aub.aau.dk, Gitte Thomsen M.Li.Sc. e-mail: gt@aub.aau.dk and Louise Thomsen, M.Li.Sc. e-mail: lt@aub.aau.dk 

ECTS: 1

Time: 14 November 2024 from 9.00-15.00

Place: Aalborg University, Kroghstræde 3, Room Einstein

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: 24 October 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 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.


For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Cancelled


Welcome to Academic Information Searching : Methods, Sources and Documentation (Tech/Eng) - B 2024

Description: The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhD.


We recommend that you take this course in the beginning of your PhD.

The course covers these areas:

• Structured literature search – How to apply a structured method to prepare and carry out your search e.g. for a literature review
• Evaluating and organising your search - How to prepare and apply relevant criteria for assessing and documenting the search results. How reference management tools can facilitate the process of organising search results
• Other perspectives on searching – How to use text mining, citation search and other tools to find relevant literature


The course is a “toolbox for research”-course with a mix of presentations and hands-on activities, either individually focusing on your own PhD-project or in small groups with a shared focus. Remember to bring your computer.

Preparation prior to the course: Please read the articles on the reading list (in the folder "Course Documents"). 

Assignments: There will be both class activities and a home assignment. The home assignment will be introduced during the course. You are required to complete the assignment after the course and hand it in by a specific date, usually a week later.

Accommodation: There will be coffee and tea during the day. You will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.


Course language: English

Organizers: Louise Thomsen, M.Li.Sc. e-mail: lt@aub.aau.dk 

Lecturers: Helle Brink, M.Li.Sc. e-mail: hb@aub.aau.dk, Gitte Thomsen M.Li.Sc. e-mail: gt@aub.aau.dk and Louise Thomsen, M.Li.Sc. e-mail: lt@aub.aau.dk 

ECTS: 1

Time: 20 March 2024 from 9.00-15.00

Place: Aalborg University, Kroghstræde 3, Room Einstein

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: 28 February 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 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.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Welcome to Academic Information Searching - Methods, Sources and Documentation (Tech/Eng) - A 2024

Description: The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhD.

We recommend that you take this course in the beginning of your PhD.

The course covers these areas:

• Structured literature search – How to apply a structured method to prepare and carry out your search e.g. for a literature review
• Evaluating and organising your search - How to prepare and apply relevant criteria for assessing and documenting the search results. How reference management tools can facilitate the process of organising search results
• Other perspectives on searching – How to use text mining, citation search and other tools to find relevant literature

The course is a “toolbox for research”-course with a mix of presentations and hands-on activities, either individually focusing on your own PhD-project or in small groups with a shared focus. Remember to bring your computer.

Preparation prior to the course: Please read the articles on the reading list (in the folder "Course Documents"). 

Assignments: There will be both class activities and a home assignment. The home assignment will be introduced during the course. You are required to complete the assignment after the course and hand it in by a specific date, usually a week later.

Accommodation: There will be coffee and tea during the day. You will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.

Course language: English

Welcome to Biostatistics II (2024)

Description: This course on biostatistics will focus on the complexity of data collected in biomedical research. Therefore, the course will focus on topics like sample size estimation, meta-analysis and multi-factorial methods. This course will consist of two parts: (i) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, and (ii) a practical part where the focus is on applying the methods to relevant and realistic data sets collected from medical and biomedical research.

The aim of the Biostatistics 2 is that you after the course will have written a full statistical report including at least parts of your data and written a preliminary result section and made a do-file in Stata (or another statistical software) for documentation of any statistical procedures that you have used. If you do not have any data to analyze, you should contact course leader, Carsten Dahl Mørch asap and describe the type of data you expect to have in your Ph.D and we will find a dataset for you to analyze.

The learning goals for Biostatistics II are:

1. Write a statistical statistical preferably based your data
2. The ability to understand the assumptions and perform the following statistical tests:
   Multifactorial ANOVA
   Repeated measures ANOVA
   Multiple and non-linear regression
   Survival Analysis
3. Understand power and sample-size calculation (sample-size considerations), and perform then in the context of your own studies
4. Understand and perform meta-analyses in systematic reviews.

Welcome to Bayesian Statistics, Simulation and Software (2024)


Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics offers an alternative approach to traditional data analysis by including prior knowledge about the model parameters in form of a prior distribution. Using Bayes formula the prior distribution is updated from the posterior distribution by incorporating the observed data by means of the likelihood. Subsequently statistical inference about the unknown model parameters is derived from the posterior distribution. However, the posterior distribution is often intractable due to high-dimensional complex integrals implying that approximate stochastic simulation techniques such as Markov Chain Monte Carlo (MCMC) methods become crucial. This course reviews the basics ideas behind Bayesian statistics and Markov chain Monte Carlo (MCMC) methods. Background on Markov chains will be provided and subjects such as Metropolis and Metropolis-Hastings algorithms, Gibbs sampling and output analysis will be discussed. Furthermore, graphical models will be introduced as a convenient tool to model complex dependency structures within a stochastic model. The theory will be demonstrated through different examples of applications and exercises, partly based on the software package R.


Prerequisites: Note that this will not be a "a black box approach" to the subject as there will be some mathematical abstraction which is needed in order to construct meaningful Bayesian models and simulation procedures. In principle the course is accessible to those new to these subjects, however, some mathematical training will be an advantage and a basic knowledge of statistics and probability theory as obtained through engineering studies at Aalborg University is definitely expected.

Additional information and assessment: All course material and additional information is available at the course website https://asta.math.aau.dk/course/bayes/2024/. In particular note the assessment of the course through active participation and a hand-in exercise.

Frequently asked questions:

Q: If I participate in the course, can you then help me analyze a dataset that I work with as part of my ph.d. project.

A: No, I am afraid that this is not possible

Q: I would like to participate in the course, but during a part of the course period I can not be present. Is it possible to follow to course via Skype or similar?

A: Maybe, to some extend. See the course website

Q: I am not a ph.d. student, but I would like to participate in the course anyway. Is that possible?

A: You will have to ask the doctoral school: aauphd@adm.aau.dk

Q: I realize that I am late for enrollment, but I would really like to participate. Is it possible.

A: You will have to ask the doctoral school: aauphd@adm.aau.dk




Organizer: Professor Jesper Møller - jm@math.aau.dk

Lecturers: Professor Jesper Møller - jm@math.aau.dk; Associate Professor Ege Rubak - rubak@math.aau.dk


ECTS: 4.0

Time:  06, 07, 08 and 11, 12, 13 November 2024

Place: 11 November: Kroghstræde 3, Room 3.135
  7 November: Frederik Bajers Vej 7C 2-209
  6, 8, 12, 13 November Kroghstræde 3, Room 2.132  


Zip code: 9220

City: Aalborg

Number of seats: 40

Deadline: 16 October 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 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 registration.

For external PhD students: This course is a general course and is prioritized for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk.

Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research -B (CPH) (2024)


Description: This course examines the Danish Code of Conduct for Research Integrity that guides research practices of scientists, researchers and their collaborators. The course will briefly introduce the principles of research integrity, dwell on the basic standards for conducting responsible research - from the planning phase to the dissemination of results, and also shortly introduce the current administration for misconducts. The course is based on the Danish Code of Conduct for Research Integrity (Ministry of Higher Education and Science, 2014), that was accepted by all Danish Universities. The course will include cases and supplementary material to illustrate research integrity through examples participants can work with and think about. The course will be a mix of lectures and group-based workshops, including discussions pertaining to the participants' own challenges. Participants will receive the detailed program, materials, and instructions for preparation in due time of the course. Some work effort prior to and after the course shall be expected.

Organizers: Professor Dorte Hammershøi (dh@es.aau.dk), Associate Professor Antonia Scholkmann, Associate Professor Ina Drejer, Associate Professor Trine Fink, and Professor Per Halkjær Nielsen

Lecturers: Professor Dorte Hammershøi, Department of Electronic Systems, Associate Professor Antonia Scholkmann, Department of Learning and Philosophy, Associate Professor Ina Drejer, Department of Business and Management, Associate Professor Trine Fink, Department of Health Science and Technology, Professor Per Halkjær Nielsen, Kathrine Tvorup Pajkes, Grants & Contracts, Charlotte Høj Mariendal, Grants & Contracts, and Karsten Kryger Hansen, ITS (data management)

ECTS: 1.0

Time: 19 March 2024

Place: A C Meyers Vænge 15A room 3.084B CPH

Number of seats: 52

Deadline: 27 February 2024

NB This course is only for PhD Students from Aalborg University that have been enrolled at least three months

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.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

The course is fully booked! Please sign up at the waiting list. 

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk.

 

Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research - D (2024)


Description: This course examines the Danish Code of Conduct for Research Integrity that guides research practices of scientists, researchers and their collaborators. The course will briefly introduce the principles of research integrity, dwell on the basic standards for conducting responsible research - from the planning phase to the dissemination of results, and also shortly introduce the current administration for misconducts. The course is based on the Danish Code of Conduct for Research Integrity (Ministry of Higher Education and Science, 2014), that was accepted by all Danish Universities. The course will include cases and supplementary material to illustrate research integrity through examples participants can work with and think about. The course will be a mix of lectures and group-based workshops, including discussions pertaining to the participants' own challenges. Participants will receive the detailed program, materials, and instructions for preparation in due time of the course. Some work effort prior to and after the course shall be expected.

Organizers: Professor Dorte Hammershøi (dh@es.aau.dk), Associate Professor Antonia Scholkmann, Associate Professor Ina Drejer, Associate Professor Trine Fink, and Professor Per Halkjær Nielsen

Lecturers: Professor Dorte Hammershøi, Department of Electronic Systems, Associate Professor Antonia Scholkmann, Department of Learning and Philosophy, Associate Professor Ina Drejer, Department of Business and Management, Associate Professor Trine Fink, Department of Health Science and Technology, Professor Per Halkjær Nielsen, Department of Chemistry and Bioscience, Kathrine Tvorup Pajkes and Susanne Andersen, Grants & Contracts, Charlotte Høj Mariendal, Grants & Contracts, and Karsten Kryger Hansen, University Library

ECTS: 1.0

Time: 08 October 2024

Place: Online

Number of seats: 60

Deadline: 17 September 2024

NB This course is only for PhD Students from Aalborg University that have been enrolled at least three months

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.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Welcome to Writing and Reviewing Scientific Papers - A (2024)



Description: The aim is to improve the participants' competence in writing and reviewing scientific papers. The course takes a practical approach and focuses on the craftsmanship needed as a scientist. It is recommended that this course is taken during the first period of a PhD study. PhD students from all areas of engineering and science can benefit from attending, although the course to some extent favors "hard science" disciplines. The discussions will address general issues related to scientific writing. The course is organised in three activities. First, the PhD students are asked to study selected literature on the subject. Second, two one-day seminars are devoted to presentations by the organisers, discussions amongst participants, and lectures by invited speakers. Third, the PhD students are required to practice both writing and reviewing in specially designed exercises. A collection of papers will be distributed before the course. In addition, a reading list of relevant books and papers is given.


NB! Please observe that attendance is absolutely mandatory throughout the two dates mentioned above. Participants, who are absent during part of one or both of these two dates will not receive any credits.


Organizer:

Professor Jakob Stoustrup, e-mail: jakob@es.aau.dk  


Lecturers:

Associate Professor Jan Bendtsen, e-mail: dimon@es.aau.dk

Professor Jakob Stoustrup, e-mail: jakob@es.aau.dk  

ECTS: 3.75

Time: 12 February and May 13, 2024 


Place: Fredrik Bajersvej 7A, room 4-106Aalborg University

Zip code: 9220

City: Aalborg

Number of seats: 45

Deadline: January 22, 2024

NB This course is only  for PhD Students at Aalborg University


For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk


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 Writing and Reviewing Scientific Papers - C (2024)


Description: The aim is to improve the participants' competence in writing and reviewing scientific papers. The course takes a practical approach and focuses on the craftsmanship needed as a scientist. It is recommended that this course is taken during the first period of a PhD study. PhD students from all areas of engineering and science can benefit from attending, although the course to some extent favors "hard science" disciplines. The discussions will address general issues related to scientific writing. The course is organised in three activities. First, the PhD students are asked to study selected literature on the subject. Second, two one-day seminars are devoted to presentations by the organisers, discussions amongst participants, and lectures by invited speakers. Third, the PhD students are required to practice both writing and reviewing in specially designed exercises. A collection of papers will be distributed before the course. In addition, a reading list of relevant books and papers is given.


NB! Please observe that attendance is absolutely mandatory throughout the two dates mentioned above. Participants, who are absent during part of one or both of these two dates will not receive any credits.


Organizer:

Professor Jakob Stoustrup, e-mail: jakob@es.aau.dk  


Lecturers:

Associate Professor Jan Bendtsen, e-mail: dimon@es.aau.dk

Professor Jakob Stoustrup, e-mail: jakob@es.aau.dk  

ECTS: 3.75

Time: 09 September and 18 November 2024

Place: Aalborg University, Fredrik Bajers Vej 7C 2-209

Zip code: 9220

City: Aalborg

Number of seats: 45

Deadline: 19 August 2024

NB This course is only  for PhD Students at Aalborg University

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 AI for the People 

Description: The notion of Artificial Intelligence (AI) dates back approx. 70 years as a research field and even longer if one considers fiction writers. A number of different definitions of AI has been suggested over the years, but none seem to capture what AI is. This might be due to the fact that AI is about computer algorithms that behave intelligently. And since the capabilities of computer algorithms improve over time, no static definition is possible.

One aspect of AI is the ability to learn or adapt dynamically. This concept has inspired numerous Sci-fi books and movies with the underlying theme of man vs AI (often manifested in a robot). From this follows naturally ethical and regulatory considerations. But until recently, such considerations (see for example the three Robotic laws defined by the sci-fi writer I. Asimov) have been speculative since current AI algorithms (and their manifestation in mechanical devices) have performed poorly and hence never left university labs around the world. Recently, however, fast hardware and massive amount of data have allowed revisiting one particular AI algorithm invented in the 80s, namely Artificial Neural Networks (ANN), and increasing the size of the networks used in these models. This was exemplified via image processing for recognizing hand-written digits and resulted in amazing results. Inspired by this success ANN (now known as Deep Learning (DL)) was quickly picked up by other research fields where similar successes have been witnessed.

DL algorithms can now outperform humans on a number of tasks. Moreover, they can, to a certain degree, learn new tasks. An important point in this regard is that the algorithm is so complex that it is next to impossible to understand its inner workings. So, we seem to be facing a reality where AI, in a not too distant future, will be used to make decisions (simply because it is of better than humans). This raises a number of ethical and regulative questions such as, for instance, 1) how we ensure that AI systems are not discriminating against certain groups in the population, 2) how do we ensure transparency about the decisions made by AI systems, and relatedly 3) could and should individuals be given a substantial right to an explanation of decisions made by such systems and a substantial right not to be subjected to automated decision-making (GDPR). Since many of the currently developed AI systems operate on the basis of large amounts of data, the development and use of such systems also reinvigorate the ethical issues related to ‘Big data’. Finally, there are problems related to the efficacy and safety of AI systems. This raises questions not only of how appropriate monitoring of the development of these systems can be secured, but also and more importantly about the appropriate domains for use.

These questions and related questions are the core focus of the PhD course on ‘AI for the people’. The aim is to raise an awareness in the participants. To this end the course will be a combination of lectures, debates and an assignment, and includes the following topics:

• Introduction to AI
• Ethical issues in the development and use of AI
• Industry perspective on AI

Organizers: Professor Thomas B. Moeslund, tbm@create.aau.dk 

Lecturers: Professor Thomas B. Moeslund, tbm@create.aau.dk 

ECTS: 2.0

Time: 09, 10 and 24 October 2024

9 October: 09:00-16:00
10 October: 10:00-16:00
24 October: TBA


Place: Aalborg University

09 and 10 October 2024: Fibigerstræde 14 room 58
24 October Rendsburggade 14 room 1/1.229

Zip code: 9220

City: Aalborg

Number of seats: 30

Deadline: 18 September 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 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 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.

For external PhD students: This course is a general course and is prioritized for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Welcome to International Scientific Networking - A (2024)


Description:

• To learn that networking is important
• To learn how to get to know and how to get to be known
• To learn how to show interest and how to become interesting Prerequisites: Having international interest and interest in communication
• Prerequisites: Having international interest and interest in communication

Organizer: Hiva Alipour - email: hiva@hst.aau.dk

Lecturers: Hiva Alipour - email: hiva@hst.aau.dk

ECTS: 1.0

Date:  19 June 2024

Time:  TBA

Place: Aalborg University Krogh stræde 1 room 1.007 (mozart)

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline: 29 May 2024

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

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 From Research to Business (2024)

There are still available seats in the course. If you wish to enroll, please write to: hellest@adm.aau.dk





Description: Topic, background and motivation for the course:

Today, the job market for PhD candidates is not only in public science. Most PhD candidates find employment outside the university, but too few convert their technical skills and brilliant ideas to prosperous businesses. The purpose of this course is to give PhD students an impression of what it takes to become an independent technological entrepreneur with a successful business.

The course takes a practical and kaleidoscopic approach and does not aim to cover its topics in depth but rather introduce important concepts that are present in most entrepreneurial endeavors in technology.

A range of follow-up activities is available from AAU Innovation and Open Entrepreneurship. These will be briefly presented and recommended individually during the course.


Learning objectives:
• Knowing the general terminology of entrepreneurship.
• Experience different ways to view businesses and their lifecycles.
• Knowing the legal structures supporting businesses in Denmark.
• Having considered the purpose and contents of a business plan.
• Knowing financing options and understanding their pros and cons.
• Knowing how to navigate in the landscabe of impact funding. 
  
• Knowing different types of investors, their motives and expectations.
• Knowing the basics of immaterial property rights.
• Having considered different marketing approaches and their links with the business model.
• Knowing about local structures and organizations supporting startups.
• Understanding options for IPR protection.


Organizers:

• Professor John Rasmussen - jr@mp.aau.dk
• Special consultant Gert Spender-Andersen - gsa@adm.aau.dk
  
  
Lecturers:

• Professor John Rasmussen - jr@mp.aau.dk
• Special consultant Gert Spender-Andersen - gsa@adm.aau.dk
• CeO, Claus Skaaning, Digishares 
• CeO, Morten Lindblad, serial investor 




ECTS: 2

Time: 19-20 March 2024

Place: 
19 March: Aalborg University Fibigerstræde 10 room 09 
20 March: Aalborg University Fibigerstræde 10 room 07

Zip code: 9220

City: Aalborg

Number of seats: 45

Deadline: 27 February 2024

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Description: As an academic, you are expected to publish. A LOT! Good Academic Writing is vital to the success of any academic who wants to further their career.

Writing well can be nerve-wracking. It can be even more nerve-wracking when the language you are writing in is not your native one. This course will provide you with the skills you need to move forward confidently as write and publish academically in English. In addition to in-class time, you will get 1-1 time with me, work in small groups and have access to an online platform which will support your learning. I will provide you with individual feedback that will strengthen your skills. 

When you are finished with this class, you will be more confident in your Academic English Skills.

We will look at many aspects of Academic Writing including the following:

• Effective Academic Writing
• Combining sentences and ideas smoothly
• Differences between British, American and Global English: How to know which to use
• Publication Process
• Punctuation for Academic Writing
• Academic Words and Phrases
• What editors look for (based on instructor’s correspondence with editors)
• Peer Review Process
• Writing a letter to the editor (participants given tips from editors that instructor has contacted)
• Questions to ask yourself before you submit
• Plagiarism
• Parts of a Journal Article (With tips on how to make each part effective)
• How to evaluate journal requirements

I am an Academic English Specialist who brings an extensive background in Academic Writing instruction and editing. I taught Academic Writing at La Sierra University in Riverside, California and have taught this course here in Denmark and in Greenland for over a decade. I am committed to making this whole process easier for you and can’t wait to work with you.

Pre-Course Assignment: TBA
*Due first day of class

In-class

24, 25 January 2024

1, 2, May 2024

*6 hours of course instruction each day.

8.30-10.00 Class 
10.00-10.10 Coffee Break 
10.10-11.40 Class 
11.40-12.10 Lunch 
12.10-13.40 Class 
13.40-13.50 Coffee Break 
13.50-15.20 Class

1-1 Sessions (1 hour)
TBA
*Students sign-up for time first day of course. Held via Zoom

Organizer: Tamara R. McGee, e-mail: tamara@trmenglish.com  

Lecturers: Tamara R. McGee, MA, President TRM English  and TRM English Academy, Academic Writing Specialist

ECTS: 2.5

Time: 

24, 25 January 2024

NEW DATE: 1 and 2 May 2024

Place: Aalborg University

24, 25 January: Kroghstræde 1, 1.007 - Mozart

1, 2 May: Kroghstræde 3, room 3.117

Zip code: 9220

City: Aalborg

Number of seats: 30

Deadline: 03 January 2024

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk


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 Writing Toyu (Reflective and Reflexive) Methodology 2024

Please be aware, the course is reserved mainly for participants from AAU, and external applicants will only be admitted if there are available seats in the course.

Description:

This PhD course focuses on writing your methodology chapter in a manner that is thorough, transparent, reflective, and reflexive and is intended for students using qualitative, applied, field-based, and/or action-oriented approaches. Moreover, this course takes a problem-based approach and aims to meet students’ needs in addition to covering essential elements of writing a methodology chapter (or sections in your synthesis).

Although there are courses oriented toward learning about qualitative methods and planning/crafting one’s (intended) research design, this course starts where these leave off: what to do about ‘writing up’ and explaining the considerations, choices, modes of analysis, and how you position yourself within your research.

Prerequisites:

Students should be enrolled in PhD program and at a point where they are writing their methodology (or at least a portion of it) and reflecting on what transpired in the field/during data collection. The course targets students whose PhD has not quite gone according to plan and must address a level of ‘messiness’ increasingly associated with social research and qualitative, mixed methods, field research. 

Students doing qualitative or mixed method research are especially welcome in this course

Learning objectives:

1. Reflect on own methodology from conceptualization to actualization
2. Understand what makes for a ‘good’ methodology chapter for your discipline/epistemological approach
3. Recognize differences in methodological ‘standards’ for quantitative versus qualitative research (including mixed methods variations)
4. Improve writing on methods and methodology in terms of transparency, positionality, and other considerations relevant to your approach

Teaching methods:

This course will run in a workshop style and orient toward the problems/challenges facing enrolled students in writing up their methodology chapters/sections. There will be some introductory lectures and discussions based on course readings, but we will focus on ‘writing up’ and thus students will be expected to provide drafts for peer review and critique from the instructor and course participants.

Course plan/design:

1st encounter (3-4 October 2024): 2 days of lectures/discussion/exercises and getting to know one another and the methodological challenges to be addressed.

1 month interim (October 2024): time for writing your draft, exchanging drafts, and preparing for the workshop

2nd encounter (6-7 November 2024): 2 days of methodology workshop

Post course (±1 month deadline): complete peer review

Criteria for assessment:

Active participation in the course including brief presentation of ‘methodology challenge you wish to tackle’; high-quality, peer review completed; submitted draft of methodology chapter/section after workshop, submitted by TBA to kristen@plan.aau.dk

Organizer: Kristen Ounanian

Lecturers: Kristen Ounanian and Rikke Becker Jacobsen

ECTS: 4

Dates: 03, 04 October and 06, 07 November 2024

Place: Fredrik Bajers vej 7c, Room 2-209

7 November: Fredrik Bajers vej 7c, Room 3-204

Zip code: 9000

City: Aalborg

Number of seats: 12

Deadline: 12 Spetember 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 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.

Important!

Course is from 9.00 to 15.30 on each course day.

Dates: 16, 17 September and 7 October/25 October 2024 

Location: Fredrik Bajers Vej 7C room 3-204, Aalborg 9220

The development of eScience and Data Science across research fields means many researchers have to spend a significant amount of time at their computers. As a consequence, we need to ensure that our skill set and toolbox is up to date and that we can accurately, effectively and in a research-wise justifiable manner conduct our research with a computer.

Who is this course for?

If you in your daily work do any of these:

·        Process data on a computer

·        Adapt code and scripts from colleagues or peers

·        Write code/scripts used by you, your colleagues or peers

then this course is for you. However, this is not a programming course.

Are you looking for a course on a specific programming language?

Check out the following courses:

·        Scientific Computing using Python - 1. Python + Scientific Computing

·        Scientific Computing using Python - High Performance Computing In Python

·        Data Science Using R

Objectives

In this course you will learn the practical skills and craftsmanship to increase your day-to-day research productivity and be able to use and/or produce scientific software with a high degree of compliance to modern research standards. After the completion of the course you should

·        have knowledge and understanding of collaboration practices in writing program code and managing data to ensure high quality scientific research and development

·        be able to with confidence assess and utilise IT work environments for scientific research and development projects

·        be able to apply current software development principles in development of program code and computational scripts for the use in scientific research

In more common terms you will learn to e.g.:

·        apply the widely used commandline interface/shell bash in your daily work.

·        apply the widely used version control system Git in your daily work.

·        understand concepts related to computational reproducibility and data management.

Format

Hands-on interactive three-day event with participatory live-coding, demos and presentations. The participants are encouraged to follow and run the same examples as shown during the course. The workshop will contain several smaller practical 5-10 minutes exercises and breaks.

Course structure

1.     Day:

§  Introduction: why are we here?

§  Work in practice: what IT resources are available to me?

§  Get efficient with the command line interface (shells: MacOS(zsh), Linux(bash) - Windows users will use a Linux environment)

§  Basic version control: Git and what you need for your everyday work

2.     Day:

§  Code smart: software development principles to live by

§  Be smart: using automatic testing (with examples in Matlab, R and Python)

§  Work smart: instead of (re)writing code use scripts to combine existing rutines to produce the output you need

3.     Day:

§  Advanced version control: Git as a platform for collaboration

§  Show off your examples with Jupyter notebook

§  Get more out of your code: Computational Reproducibility

§  Get more out of your data: FAIR (findability, accessibility, interoperability, and reusability).

We will not teach a specific programming language and will try to keep the presented material as language-independent as possible.

This is not a programming course.

Prerequisites

·        You will need to bring a laptop with Windows / OS X / Linux.

·        You know the basics of a least one programming language.

·        You can navigate your computer, locate files etc.

·        Read Wilson et. al. “Good enough practices in scientific computing” and start thinking about the presented ideas and to what extent it can be adapted in your work.

We expect that:

·        You actively participate and work on the examples and exercises.

·        You talk to your neighbors and help each other.

·        Ask for help if both you and your neighbors are stuck.

Course project

The course project will contain several elements from the course. Participants are presented with a default project, or can take on a project based on their existing work if they find this option suitable. The project will require additional work following the three course days.

ECTS: 2: Participants attending at least 80% of the course and submitting an acceptable course project receive credits.

Lecturers: Special consultant Gergely István Barsi

Dates: 16, 17 September and 7 October 2024

Location: Fredrik Bajers Vej 7C room 3-204

City: Aalborg

Zip Code: 9220

Number of seats: 30

Deadline: 26 August 2024

Important information concerning PhD courses: We have over some time experienced problems with no-shows 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 registration.

For external PhD students: This course is a general course and is prioritized for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

 For inquiries regarding registration, cancellation, or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Welcome to Biostatistics I (2024)




Description: This is a basic course in statistics, and it focuses on the application of statistics to describe and analyze data (i.e., descriptive, and inferential statistics). The course will use different examples from e.g., medicine, biology, and biomedical engineering and focus on the application of statistics to describe data and test hypotheses, and less so on the underlying mathematical calculations.

The examples during the course will be based on different research designs that are commonly used across different research field. To ensure that we make it as specific as possible for your specific Ph.D.-project, you will work with your own statistical analysis plan (SAP) throughout the course. First you will work in smaller groups on your SAP together with colleagues working with similar research projects, next you will get feedback on your SAP, and then you will present your SAP and receive feedback from a larger group.

This course will consist of four parts: (i) relevant description and presentation of data pending your data type (ii) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, (iii) application of the statistical methods for hypothesis testing, and (iiii) developing a statistical analysis plan (SAP) for your research project.

The learning goals for Biostatistics I are:



1. Write a draft of a SAP for your own research project. 
2. The ability to understand the assumptions and perform the following statistical tests:
   - Descriptive statistic
   - Probability distributions
   - Estimation
   - Hypothesis testing - parametric tests
   - Non-parametric tests
   - One-way ANOVA
   - Cross-tabulations
   - Regression and correlation

Literature 
B. Kirkwood, J. Sterne, “Essential medical statistics”. Plus handouts.



Software

We will mainly use SPSS and Stata. They software packages can be downloaded from here: https://www.its.aau.dk/software/ 



Organizer: Carsten Dahl Mørch

ECTS: 3,5

Time: March 5, 12, 19, April 2, 9, 16, 30

Place: Aalborg University, Fredrik Bajers Vej 7C room 3-204
Zip code: 9220

City: Aalborg

Number of seats: 30

Deadline: February 13, 2024 

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

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.



For external PhD students: This course is a general course and is prioritized for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

Welcome to Introduction to the PhD Study (TECH/ENG)

Please observe that this course is for PhD students within the Faculty of Engineering and Science and The Technical Faculty of IT and Design. We offer a similar course for PhD students within the Faculty of Medicine “Introduction to the PhD Study (Medicine)”

Description: 

Objective: Give the PhD student a basic understanding of how the PhD education at Aalborg University is structured as well as the formal requirements related hereto. - Support the PhD student in developing his/her study plan.


Course structure: 1 day with lectures and a course work, followed up by completing the PhD student’s individual study plan in cooperation with his/her supervisors and research environment

Course blocks and topics:

1. The Legislation - the rights and duties of a PhD student. For this session the students have to read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
2. The administrative organization of the Doctoral School
3. My life as a PhD student: Experiences from PhD students
4. The study plan
5. Student-supervisor relation
6. Career planning
7. PhD Consulting service 
8. PAU
9. PhD help



At the time you attend this course, your study plan should be in progress. Bring a printed or electronic copy of the study plan as it is at the time of the course.

Preparation:

• Read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing-laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
• Bring a printed or electronic copy of the study plan.

Organizer: Rasmus Waagepetersen

Lecturers: Rasmus Waagepetersen

ECTS: 0,5

Time: 18 April 2024


Place: Kroghstræde 3 room 4.130 (Darwin) Aalborg University

Zip code: 9220

City: Aalborg 

Number of seats: 40

Deadline: 28.03.2024

NB This course is only for PhD Students at Aalborg University

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.


For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Welcome to Introduction to the PhD Study (TECH/ENG)

Please observe that this course is for PhD students within the Faculty of Engineering and Science and The Technical Faculty of IT and Design. We offer a similar course for PhD students within the Faculty of Medicine “Introduction to the PhD Study (Medicine)”

Description: 

Objective: Give the PhD student a basic understanding of how the PhD education at Aalborg University is structured as well as the formal requirements related hereto. - Support the PhD student in developing his/her study plan.


Course structure: 1 day with lectures and a course work, followed up by completing the PhD student’s individual study plan in cooperation with his/her supervisors and research environment

Course blocks and topics:

1. The Legislation - the rights and duties of a PhD student. For this session the students have to read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
2. The administrative organization of the Doctoral School
3. My life as a PhD student: Experiences from PhD students
4. The study plan
5. Student-supervisor relation
6. Career planning
7. PhD Consulting service 
8. PAU
9. PhD help



At the time you attend this course, your study plan should be in progress. Bring a printed or electronic copy of the study plan as it is at the time of the course.

Preparation:

• Read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing-laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
• Bring a printed or electronic copy of the study plan.

Organizer: Claus Leth Bak

Lecturers: Claus Leth Bak

ECTS: 0,5

Time: 11 September 2024


Place: Aalborg University, Kroghstræde 1, room 1.007 (Mozart)

Zip code: 9220

City: Aalborg 

Number of seats: 40

Deadline: 21 August 2024

NB This course is only for PhD Students at Aalborg University

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.


For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk

Cancelled

Welcome to Introduction to the PhD Study (CPH)(TECH/ENG)

Please observe that this course is for PhD students within the Faculty of Engineering and Science and The Technical Faculty of IT and Design. We offer a similar course for PhD students within the Faculty of Medicine “Introduction to the PhD Study (Medicine)”

Description: 

Objective: Give the PhD student a basic understanding of how the PhD education at Aalborg University is structured as well as the formal requirements related hereto. - Support the PhD student in developing his/her study plan.


Course structure: 1 day with lectures and a course work, followed up by completing the PhD student’s individual study plan in cooperation with his/her supervisors and research environment

Course blocks and topics:

1. The Legislation - the rights and duties of a PhD student. For this session the students have to read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
2. The structure of Aalborg University & Organization of the Doctoral School
3. The administrative organization of the Doctoral School
4. My life as a PhD student: Experiences from PhD students
5. Good scientific practice
6. The PhD student organization: PAU
7. Career planning
8. Writing the study plan

At the time you attend this course, your study plan should be in progress. Bring a printed or electronic copy of the study plan as it is at the time of the course.

Preparation:

• Read the Ministerial order for PhD education (https://ufm.dk/en/legislation/prevailing-laws-and-regulations/education/files/engelsk-ph-d-bekendtgorelse.pdf)
• Bring a printed or electronic copy of the study plan.

Organizer: Lars Bo Henriksen

Lecturers: Lars Bo Henriksen

ECTS: 0,5

Time: 25 November 2024

Place: Aalborg University

Zip code: 

City: Copenhagen 

Number of seats: 40

Deadline: 8 November 2024

NB This course is only for PhD Students at Aalborg University

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.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk