Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research (Copenhagen)

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, e-mail: dh@es.aau.dk, Associate Professor Antonia Scholkmann, e-mail: , Associate Professor Ina Drejer, e-mail: id@business.aau.dk, Associate Professor Trine Fink, e-mail: trinef@hst.aau.dk, and Professor Per Halkjær Nielsen, e-mail: phn@bio.aau.dk.   

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,  Nina Schjoldager, Grants & Contracts, and Karsten Kryger Hansen, ITS (data management).

ECTS: 1

Time: 5 November 2018, 8:15 - 16:15

Place:

City: Copenhagen

Number of seats: 52

Deadline: 15 October 2018

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations

Welcome to Academic Information Searching, Publishing and Management

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science. We offer a similar course for PhD students within the Faculty of Medicine "Health Scientific Searching and Publishing".

Description: This 2-day course gives you skills and knowledge within a wide range of relevant areas useful during your PhD. The objective of the course is to facilitate your entrance into the academic research world, so it is recommended that you take it when starting your PhD.

The course will cover these essential areas (see the attached file for a detailed programme):

  • Searching, evaluating and organising information – How to apply a structured method to search information e.g. for a literature review. 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
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research ethics and copyright for researchers are also a part of the course.

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

The course does not focus on methods for medical information searching and publishing. For this purpose, please see the description for the course Health Scientific Searching and Publishing instead on PhD Moodle.

Preparation before the course: Please see the attached file with articles of subjects covered in the course. As preparation for the class exercises, you are asked to skim an article, which is also attached. Prior to the course you also need to make sure you can log in to Aalborg University Research Portal at vbn.aau.dk/admin. For support, please contact vbn@aub.aau.dk.

Exercises: There will be both class exercises and home exercises. The home exercises will be introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Catering: There will be coffee and tea during the day. However, you will have to bring your own lunch.

Course language: English

Important: In order to pass the course you are required to be present for the duration of the course’s two days and complete the home exercises.

Organizer: Rikke Benzen, Librarian; Charlotte Wind, Labrarian; Sofie Husby, e-mail: aubcph@aub.aau.dk

Lecturers: Rikke Benzen, Librarian; Charlotte Wind, Labrarian; Sofie Husby; and Louise Thomsen, M.L.I.Sc

ECTS: 2

Time: 31 October and 1 November 2018

Place: A.C. Meyers Vænge 15, 2450 København SV

Number of seats: 20

Deadline: 1 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Academic Information Searching, Publishing and Management

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science. We offer a similar course for PhD students within the Faculty of Medicine "Health Scientific Searching and Publishing".

Description: This 2-day course gives you skills and knowledge within a wide range of relevant areas useful during your PhD. The objective of the course is to facilitate your entrance into the academic research world, so it is recommended that you take it when starting your PhD.

The course will cover these essential areas (see the attached file for a detailed programme):

  • Searching, evaluating and organising information – How to apply a structured method to search information e.g. for a literature review. 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
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research data management, research ethics and copyright for researchers are also a part of the course.

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

The course does not focus on methods for medical information searching and publishing. For this purpose, please see the description for the course Health Scientific Searching and Publishing instead on PhD Moodle.

Preparation before the course: Please see the attached file with articles of subjects covered in the course. As preparation for the class exercises, you are asked to skim an article, which is also attached. Prior to the course you also need to make sure you can log in to Aalborg University Research Portal at vbn.aau.dk/admin. For support, please contact vbn@aub.aau.dk.

Exercises: There will be both class exercises and home exercises. The home exercises will be introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: In order to pass the course you are required to be present for the duration of the course’s two days and complete the home exercises.


Organizer: Louise Thomsen, librarian, M.L.I.Sc., e-mail: lt@aub.aau.dk

Lecturers: Helle Brink, M.L.I.Sc; Louise Thomsen, M.L.I.Sc; Charlotte Wind; Rikke Perregaard Benzen; Sofie Husby

ECTS: 2

Time: 11-12 April 2018

Place: A.C. Meyers Vænge 15, 2450 København SV

Number of seats: 20

Deadline: 12 March 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Academic Information Searching, Publishing and Management

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science. We offer a similar course for PhD students within the Faculty of Medicine "Health Scientific Searching and Publishing".

Description: This 2-day course gives you skills and knowledge within a wide range of relevant areas useful during your PhD. The objective of the course is to facilitate your entrance into the academic research world, so it is recommended that you take it when starting your PhD.

The course will cover these essential areas (see the attached file for a detailed programme):

  • Searching, evaluating and organising information – How to apply a structured method to search information e.g. for a literature review. 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
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research ethics and copyright for researchers are also a part of the course.

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

The course does not focus on methods for medical information searching and publishing. For this purpose, please see the description for the course Health Scientific Searching and Publishing instead on PhD Moodle.

Preparation before the course: Please see the attached file with articles of subjects covered in the course. As preparation for the class exercises, you are asked to skim an article, which is also attached. Prior to the course you also need to make sure you can log in to Aalborg University Research Portal at vbn.aau.dk/admin. For support, please contact vbn@aub.aau.dk.

Exercises: There will be both class exercises and home exercises. The home exercises will be introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: In order to pass the course you are required to be present for the duration of the course’s two days and complete the home exercises.

Organizer: Louise Thomsen, librarian, M.L.I.Sc., e-mail: lt@aub.aau.dk

Lecturers: Helle Brink, M.L.I.Sc; Sabine Dreier, M.L.I.Sc; Gitte Thomsen, M.L.I.Sc and Louise Thomsen, M.L.I.Sc

ECTS: 2

Time: 5-6 November 2018

Place: Langagervej 2,  9220 Aalborg Øst

Number of seats: 20

Deadline: 6 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Academic Information Searching, Publishing and Management

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science. We offer a similar course for PhD students within the Faculty of Medicine "Health Scientific Searching and Publishing".

Description: This 2-day course gives you skills and knowledge within a wide range of relevant areas useful during your PhD. The objective of the course is to facilitate your entrance into the academic research world, so it is recommended that you take it when starting your PhD.

The course will cover these essential areas (see the attached file for a detailed programme):

  • Searching, evaluating and organising information – How to apply a structured method to search information e.g. for a literature review. 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
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research data management, research ethics and copyright for researchers are also a part of the course.

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

The course does not focus on methods for medical information searching and publishing. For this purpose, please see the description for the course Health Scientific Searching and Publishing instead on PhD Moodle.

Preparation before the course: Please see the attached file with articles of subjects covered in the course. As preparation for the class exercises, you are asked to skim an article, which is also attached. Prior to the course you also need to make sure you can log in to Aalborg University Research Portal at vbn.aau.dk/admin. For support, please contact vbn@aub.aau.dk.

Exercises: There will be both class exercises and home exercises. The home exercises will be introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: In order to pass the course you are required to be present for the duration of the course’s two days and complete the home exercises.


Organizer: Louise Thomsen, librarian, M.L.I.Sc., e-mail: lt@aub.aau.dk

Lecturers: Helle Brink, M.L.I.Sc; Tine Furbo Carlsen, M.L.I.Sc; Gitte Thomsen, M.L.I.Sc and Louise Thomsen, M.L.I.Sc

ECTS: 2

Time: 16-17 April 2018, 9:00-15:00

Place: Langagervej 2,  9220 Aalborg Øst

Number of seats: 20

Deadline: 17 March 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Academic Information Searching, Publishing and Management II

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science. We offer a similar course for PhD students within the Faculty of Medicine "Health Scientific Searching and Publishing".

 

Description:
This 2-day course gives you skills and knowledge within a wide range of relevant areas useful during your PhD. The objective of the course is to facilitate your entrance into the academic research world, so it is recommended that you take it when starting your PhD.

The course will cover these essential areas (see the attached file for a detailed programme):

  • Searching, evaluating and organising information – How to apply a structured method to search information e.g. for a literature review. 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
  • Research evaluation – What research evaluation entails. Citations and h-index as measures for evaluating research. How to use the most central databases in research evaluation for your subject
  • Publication strategy - How to increase publications’ visibility and searchability in databases through well-informed choices regarding an article’s key features (titles, keywords and abstracts) and choice of publication channel such as BFI and other relevant impact measures. How to use relevant tools and websites for choosing where to publish
  • Research visibility, networking and profiling - How to register research in VBN, knowledge and use of researcher identifiers, scholarly networks and Open Access
  • Research ethics and copyright for researchers are also a part of the course.

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

The course does not focus on methods for medical information searching and publishing. For this purpose, please see the description for the course Health Scientific Searching and Publishing instead on PhD Moodle.

Preparation before the course: Please see the attached file with articles of subjects covered in the course. As preparation for the class exercises, you are asked to skim an article, which is also attached. Prior to the course you also need to make sure you can log in to Aalborg University Research Portal at vbn.aau.dk/admin. For support, please contact vbn@aub.aau.dk.


Exercises:
There will be both class exercises and home exercises. The home exercises will be introduced during the course. You are required to finish the home exercises at home and return them by a specific date.

Catering: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you have to go to the canteen at Fibigerstræde 15. It is approximately a 10 minutes’ walk.

Course language: English

Important: In order to pass the course you are required to be present for the duration of the course’s two days and complete the home exercises.

Organizer: Louise Thomsen, librarian, M.L.I.Sc., e-mail: lt@aub.aau.dk

Lecturers: Helle Brink, M.L.I.Sc; Sabine Dreier, M.L.I.Sc; Gitte Thomsen, M.L.I.Sc and Louise Thomsen, M.L.I.Sc

ECTS: 2

Time: 19-20 November 2018

Place: Langagervej 2, 9220 Aalborg Øst

Number of seats:
20

Deadline: 29 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Academic Writing in English - fall

Description:

Good Academic Writing is vital to the success of any academic who wants to further his or her career. As an academic, it is expected that you publish and present. That is just the way it is.

 

It can be intimidating to write well in a non-native language and feel confident. This course will provide you with the skills you need to move forward confidently in your English academic writing. In addition to in-class time, you will get 1-1 time with me, work in small groups and have an online platform to ask questions and have them answered. I will provide you with infdividual feedback that will strengthen your skills. 

 

We will look at:

  • Publication Process
  • 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
  • Punctuation for Academic Writing
  • Effective Academic Writing
  • Combining sentences and ideas smoothly
  • Academic Words and Phrases
  • Parts of a Journal Article (With tips on how to make each part effective)
  • How to evaluate journal requirements
  • Differences between British, American and Global English: How to know which to use

 

As your instructor, I bring 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 extensively here in Denmark. I am committed to making this whole process easier for you and cannot wait to work with you.

Pre-Course Call
10 and 11 September (Participants will be called on one of these days)  

Pre-Course Assignment
Sent 12 September  (Participants are expected to come to class with work completed as it will be used as part of the course)

In-class
1, 2 October 2018
12, 13 November 2018
*6 hours of course instruction each day.
08.30-10.00 Class
10.00-10.10 Break
10.10-11.40 Class
11.40-12.10 Lunch
12.10-13.40 Class
13.40-13.50 Break
13.50-15.20 Class

1-1 Sessions
8,9,11 October 2018
15,16,18 October 2018
*Students sign-up for time first day of course. Held via Skype or telephone

Group Sessions (2-3 participants via Skype)
29 October 2018
1 November 2018
*Participants sign-up first day of course

Homework
Homework is assigned in class. Participants will be told how and when the work is to be completed in class.

Post-Course Assignment
Given on the last day of class.  Due date for assignment completion is 30 November . 

Organizer: Tamara McGee, MA, President TRM English Consulting and TRM English Academy, Academic Writing Instructor

Lecturers: Tamara McGee, MA, President TRM English Consulting and TRM English Academy, Academic Writing Instructor

ECTS: 2.5

Time: 1-2 October and 12-13 November 2018 (in-class dates)

Place: Fibigerstræde 16, room 1.211.

City:
9220 Aalborg Øst

Number of seats: 30

Deadline: 5 September 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

 

Welcome to Academic Writing in English - spring


Description:

Good Academic Writing is vital to the success of any academic who wants to further his or her career. As an academic, it is expected that you publish and present. That is just the way it is.


It can be intimidating to write well in a non-native language and feel confident. This course will provide you with the skills you need to move forward confidently in your English academic writing. In addition to in-class time, you will get 1-1 time with me, work in small groups and have an online platform to ask questions and have them answered. I will provide you with infdividual feedback that will strengthen your skills. 

 
We will look at:

  • Publication Process
  • 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
  • Punctuation for Academic Writing
  • Effective Academic Writing
  • Combining sentences and ideas smoothly
  • Academic Words and Phrases
  • Parts of a Journal Article (With tips on how to make each part effective)
  • How to evaluate journal requirements
  • Differences between British, American and Global English: How to know which to use

 
As your instructor, I bring 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 extensively here in Denmark. I am committed to making this whole process easier for you and can’t wait to work with you.

In-class schedule  (19 and 20 March and 30 April and 1 May 2018)

08.30-10.00 Class

10.00-10.10 Break

10.10-11.40 Class

11.40-12.10 Lunch

12.10-13.40 Class

13.40-13.50 Break

13.50-15.20 Class

1-1 Sessions

 

3, 4, 5 April 2018

9, 10, 11 April 2018

*Students sign-up for time first day of course. Held via Skype or telephone

Group Sessions (2-3 participants via Skype)

23 April 2018

24 April 2018

*Participants sign-up first day of course

Post-Course

Assignment given last day in-class (1 May 2018) and must be returned to instructor by 15 May 2018. Instructor will have feedback to participants by 15 June 2018.

Organizer: Tamara McGee

Lecturers: Tamara McGee, MA, President TRM English Consulting and TRM English Academy, Academic Writing Instructor

ECTS: 2.5

Time: 19 and 20 March and 30 April and 1 May 2018

Place:  Aalborg University, Frederik Bajersvej 7G, room Frb7G/5-112

City:
9220  Aalborg

Number of seats: 30

Deadline: 10 February 2018



Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

  • Welcome to Advanced Energy System Analysis on the EnergyPLAN model


    Description:

    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


    Organizer: Henrik Lund

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

    ECTS: 3 

    Course fee: 750 DKK (100 EUR) for  PhD students. Others pay ~7500 DKK (price level Feb 2015). All participants must cover own costs for travel and accommodation. 

    In order to sign up you must pay (no later than 27 March) using the follwoing link:

    https://www.erap.aau.dk/event/index.php/ESAotEPM2018


    Time: 9-11 April 2018 and 24-26 April 2018


    Place: 

      9/4 - Rendsburggade 14, room  Rdg 14.4/3.529 
    10/4 - Rendsburggade 14, room Rdg 14.2/3329
    11/4 - Rendsburggade 14, room Rdg 14.3/3429 

    24/4 - Rendsburggade 14, room Rdg 14.3/3465
    25/4 - Rendsburggade 14, room Rdb 14.4/4.517
    26/4 -  Rendsburggade 14, room Rdg 14.2/3329

    City:
    9000 Aalborg

    Number of seats: 30

    Deadline: April 4, 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Welcome to Advanced experimental techniques: Infrared and Raman Spectroscopy


Description: This course introduces participants to the theory and practice of infrared and Raman spectroscopy as applied to the study of the physical and chemical characteristics of materials and substances. Its purpose is to provide a firm foundation in the subject concentrating on the fundamental principles, exploration of modern instrumentation applied in these techniques and description of a broad range of application examples from different areas of materials characterization. In order to leave room for a large number of application examples, the theoretical part does not go into more depth than it is necessary for a beginner`s understanding. 
Hands-on sessions will be organized where the participants will carry out spectroscopic experiments on material samples provided and/or samples brought by participants themselves. Preparation of the report based upon obtained results will be required after the hands-on sessions.

Organizer:  Lars Rosgaard Jensen, Department of Mechanical and Manufacturing Engineering


ECTS: 4 (requires active participation in lectures and exercises and submission of a final report of sufficient quality based on the performed exercises, data analysis and the obtained results)


Time: 29 October - 3 November, 09:00-15:30

Place: 

City: 


Number of seats: 20 (for hands-on exercises max. 15 participants can attend)

Deadline: 8 October 2018

Important information concerning PhD courses 
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Advanced Mathematics for PhD Candidates

Description: The aim of this course is to give the participants an idea of how the mathematical vocabulary is used and the strength of using it properly. This is needed by engineering PhD's when reading papers, which will often use the common language of mathematics, and in particular when writing papers. Moreover, it is crucial, that engineers understand when a given mathematical toolbox is applicable and when it is not. As an example: In favourable cases, differential equations have unique solutions, but this is not always true, and trying to approximate a solution in such cases may lead to results which are simply wrong. The topics covered are: metric spaces, convergence, continuity, compactness, completeness. Vector Spaces and linearity. Korovkins theorem on polynomial approximations via Bernstein polynomials. The Banach Fixed Point Theorem. Existence and uniqueness results for ordinary differential equations. The approach in the course is to stress the necessity of precise mathematical formulation, and, in particular, to give examples where the intuitive answer is not correct.

Organizer: Professor Morten Nielsen, e-mail: mnielsen@math.aau.dk

Lecturers: Professor Morten Nielsen and Associate Professor Lisbeth Fajstrup

ECTS: 4

Time: 3, 5, 7, 12, 14, and 17 December 2018, 9:00-16:00

Place: Fredrik Bajers Vej 7E, room 3-209

Zip code: 9220

City: Aalborg Øst

Number of seats: 30

Deadline: 12 November 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research

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, e-mail: dh@es.aau.dk, Professor Kathrin Otrel-Cass, e-mail: cass@learning.aau.dk, Associate Professor Ina Drejer, e-mail: id@business.aau.dk, and Associate Professor Trine Fink, e-mail: trinef@hst.aau.dk     

Lecturers: : Professor Dorte Hammershøi, Department of Electronic Systems, Professor Kathrin Otrel-Cass, 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, and Kathrine Tvorup Pajkes, Grants & Contracts

ECTS: 1

Time: 23 May 2018, 8:15 - 16:15

Place:  Fredrik Bajersvej 7A, room Frb 7A/4-106 

City:
9220 Aalborg Øst

Number of seats: 52

Deadline: 2 May 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research

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, e-mail: dh@es.aau.dk, Professor Kathrin Otrel-Cass, e-mail: cass@learning.aau.dk, Associate Professor Ina Drejer, e-mail: id@business.aau.dk, Associate Professor Trine Fink, e-mail: trinef@hst.aau.dk, and Professor Per Halkjær Nielsen, e-mail phn@bio.aau.dk.   

Lecturers: Professor Dorte Hammershøi, Department of Electronic Systems, Professor Kathrin Otrel-Cass, 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, and Kathrine Tvorup Pajkes, Grants & Contracts, Nina Schjolager, Grants & Contracts, and Karsten Kryger Hansen, ITS (data management).

ECTS: 1

Time: 29 August 2018, 8:15 - 16:15

Place: Fredrik Bayers Vej 7A, room Frb 7A/4-106 (56 pers)

City: 9220 Aalborg Øst

Number of seats: 52

Deadline: Unfortunately the course is fully booked. Please enroll at the next Code of Conduct course on 14 November 2018 here.

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

 

Welcome to Applying the Danish Code of Conduct for Research Integrity to your Research

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, e-mail: dh@es.aau.dk, Associate Professor Antonia Scholkmann, e-mail: , Associate Professor Ina Drejer, e-mail: id@business.aau.dk, Associate Professor Trine Fink, e-mail: trinef@hst.aau.dk, and Professor Per Halkjær Nielsen, e-mail: phn@bio.aau.dk.   

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,  Nina Schjoldager, Grants & Contracts, and Karsten Kryger Hansen, ITS (data management).

ECTS: 1

Time: 14 November 2018, 8:15 - 16:15

Place: Niels Jernes Vej 14, room 4-117

Zip code: 9220

City: Aalborg Øst

Number of seats: 52 (the course is fully booked)  

Deadline: 24 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Welcome to Bayesian Statistics, Simulation and Software – with a View to Application Examples

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 packages R, BUGS and JAGS.

Prerequisites: The course is accessible to those new to these subjects; however, a basic knowledge of statistics and probability theory as obtained through engineering studies at Aalborg University is expected.

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: No, I am afraid that this is not possible

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: doctoral.school@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: doctoral.school@adm.aau.dk

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

Lecturers: Associate Professor Ege Rubak, rubak@math.aau.dk 

ECTS: 4

Time: 21-23 and 26-28 November 2018

Place: Fredrik Bajers Vej 7E/3-109

Zip code: 9220

City: Aalborg Øst

Number of seats: 40

Deadline: 31 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Welcome to Biostatistics II

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 tentative course program is:

  • Power analysis and sample size estimation
  • Meta-analysis and systematic reviews
  • Multifactorial ANOVA
  • Repeated measures ANOVA
  • Multiple and non-linear regression
  • Survival Analysis

Literature: Selected papers and book chapters will be announced to the participants shortly before the course.

Prerequisites: Biostatistics I or similar knowledge on biostatistics

Evaluation: Evaluation of the course will be based on written reports of selected exercises.

Organizer: Associate Professor Carsten Dahl Mørch, e-mail: cdahl@hst.aau.dk

Lecturers:

ECTS: 4.5

Time: 5, 9, 12, 16, 19, 23 November and 7 December 2018, 8:15-12:00.

Place:
5, 9, 16, 19, 23 November and 7 December, Fredrik Bajers Vej 7D/2-106.
12 November, Fredrik Bajers Vej 7E/3-209.

Zip code: 9220

City: Aalborg Øst

Number of seats: 35

Deadline: 15 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Welcome to Building the Bridge between Electrical Grid Control and Communication in Smart Grids

Description: Smart grids are increasingly becoming a key word describing intelligent ways of controlling the electrical power grid for reasons as efficiency, dependability, future markets and more. In the same time, smart grids are highly cross disciplinary and involve control theory, understanding of the electrical grid, market interaction and communication technologies. To a higher degree, PhD students working with this type of technology is required to have a common understanding of each sub domains, even to the level of terminology. This course aims to bridge the gap between the different disciplines involved that allows PhD candidates to work efficiently with smart grids, with a bias towards communication technologies and its role in smart grids, which until recently has been a hidden player in the smart grid domain.

Organizer and lecturer: Associate Professor Rasmus L. Olsen, e-mail: rlo@es.aau.dk

ECTS: 3

Time: 19-23 November 2018

Place:

Zip code: 9220

City: Aalborg Øst

Number of seats: 30

Deadline: 29 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

 

Welcome to Computing with Data using R

Description: Most quantitative research projects involve both case-specific programming tasks as well as data analysis of a more standard nature. When working with quantitative data it is moreover essential to be able to do so in a systematic and reproducible manner with trustworthy software. This course aims at introducing the free program R as a computational environment for integrating these tasks. R has for two decades been a leading tool for computing with data and it is the preferred language for implementation of new statistical methodology.

The course will cover the practice of scientific computing, programming, and quantitative analyses as well as the essential theoretical underpinnings. The topics of the course will include.

  • Introducing R as a statistical programming environment for data analysis.
  • Efficient data management using R.
  • High-level graphics in R.
  • Statistical models in R
  • Aspects of scientific computing in theory and practice.
  • Reproducible research in practice
  • Programming in R and vectorized computations.
  • Optional (if time permits) Matrix factorizations and other numerical methods in R. Easy integration of C++ code in R.

IMPORTANT: Prerequisites: Participants must have a working knowledge of elementary statistical methods such as regression models and analysis of variance at the level taught e.g. to the "applied statistics" course described at http://asta.math.aau.dk/eng/

Learning objectives: After completing the course the participants will 1. be able to solve programming tasks with R. 2. know how to manage data, visualize data and fit models to data using R. 3. have learned enough about R to continue learning on their own.

Teaching methods: A combination of instructive videos, computer practicals and lectures.

Criteria for assessment: Active participation in the practicals + approval of major exercise (to be handed in after the course).

 

Frequently asked questions:

  • Q: I am from outside AAU and wish to sign up for the course. What do I do?
  • A: You click on "signup" and fill out the form.
  • Q: I can not get the steps above to work. Who can help?
  • A: You will have to ask the doctoral school: doctoral.school@adm.aau.dk
  • 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: No, I am afraid that this is not possible
  • 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: doctoral.school@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: doctoral.school@adm.aau.dk

Organizer: Professor Søren Højsgaard, e-mail: sorenh@math.aau.dk

Lecturers: Søren Højsgaard: Søren is associate professor at the Department of Mathematical Sciences. He has 20 years of practical experience with R. He has authored several R packages and he has written a book about qraphical models with R.

Torben Tvedebring: Torben Tvedebrink is Associate Professor at Department of Mathematical Sciences.

ECTS: 4

Time: 19-21 and 28 February and 1-2 March 2018 from 9:00 to 16:00

Place: Fibigerstræde 4, room  Fib 4.125   

City:
9220  Aalborg Øst 

Number of seats: 40

Deadline: 29 January 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

 

Welcome to Data Science using R


Description:

After the completion of the course, the participants

  • will be able to streamline the data import and data handling through the use of tidyverse
  • can make presentation-ready graphics to visualise their own data using ggplot2
  • are able fit, interpret and present various statistical models for both numeric and categorical data using methodologies like linear regression lm (also in penalised form using the LASSO glmnet), support vector machines svm, naive bayes classifier naiveBayes, classification and regressions trees (CART) rpart, etc.
  • can reduce the dimensionality of their data by principal components analysis princomp for visualisation and modelling
  • can perform cluster analysis using K-means and hierarchical clustering hclust used to produce dendrograms and in heatmap graphics
  • have acquired the skills to present their analysis in standard alone documents using rmarkdown and knitr
  • have seen shiny applications and dashboards for interactive demonstrations of data and models through the use of responsive graphics and tables

These skills will enable you to efficiently wrangle your data into a desired format for further analysis. This includes the abbility to aggregate, summarise and visualise the data at various steps in the data analysis. As R is a scripting language you are free from the constraints of an usual spread sheet program like Excel. The scripts also serves as a transparent and reproducible framework for re-doing your analysis over and over again - as well as re-using essential parts in other analyses. The graphics produced by R and in particular ggplot2 are used professionaly by academics, data visualisation communities and data scientists.



Organizer: Torben Tvedebrink, Søren Højsgaard og Mikkel Meyer Andersen

Lecturers: Torben Tvedebrink, Søren Højsgaard og Mikkel Meyer Andersen

ECTS: 4

Time: 20 - 24 August (8:30 - 16:00) and September 4 (8:30 - 15:00)

Place: Skjernvej 4 A, room skj 4/2.115

City: 9220 Aalborg

Number of seats: 40



Number of seats: 40

Deadline: 1 August



Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Design and Analysis of Experiments

Description: After a short survey of basic statistical concepts such as estimation, significance tests and confidence intervals, an introduction will be given to the analysis of designed experiments, including analysis of variance and factorial designs. The course will also cover multiple and polynomial regression. The course will be accompanied by an introduction to a dedicated statistical software package (R, see more at http://www.r-project.org).

Prerequisites: The course assumes basic knowledge about mathematics and probability theory as obtained through the engineering courses at Aalborg University. Some knowledge about basic statistics, such as one sample estimation and test of hypotheses, will be desirable.

Textbook: Douglas C. Montgomery. Design and Analysis of Experiments, 8th ed. Wiley, 2012

Evaluation:

  • Active attendance in at least 9 out of 12 lectures
  • Hand in a statistical analysis done in the last two lectures (needs to be passed

Organizers and lecturers: Associate Professor Esben Høg, e-mail: esben@math.aau.dk and Assistant Professor Christophe Biscio, e-mail: christophe@math.aau.dk

ECTS: 4.5

Time: 11, 12, 13, 20, 26, 27 September (from 12.30 to 16.15) and
3, 4, 10, 11, 25 and 31 October 2018 (from 12.30 to 16.15) +  24 October (from 8.15 to 12.00)

Place:
11, 12, 13, 20 September + 3 and 4 October, Niels Jernes Vej 12A/5-006
26 and 27 September + 10, 11, 24, 25 and 31 October, Niels Jernes Vej 8A/0.01

Zip code: 9220

City: Aalborg Øst

Number of seats: 40

Deadline: 21 August 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Differential Geometry – as you need it in Science and Engineering

Description: Geometry underpins many branches of science and engineering, for example:

  • if you wish to describe the motionof an airplane or of a robot arm
  • if you look closer at the design of the GPS navigation system in a car
  • if you analyse the control of a telecommunication satellite
  • if you want to exploit the options and understand the constraints you meet in customary programmes in computer graphics, computer vision or computer games
  • if you study the configurations of a mechanical or molecular system, or problems in relativity theory or in elementary particle physics.

It is quite common that the underlying configuration space of a system is not some Euclidean space Rn, but a manifold that only locally can be described by a fixed set of coordinates. The number of coordinates required corresponds to the degrees of freedom of the system. Familiar examples of manifolds are spheres - in arbitrary dimensions - and tori - in 2 dimensions visualized as a donut. Other typical examples occur as the space of orthogonal matrices – the configurations of a mechanical system with a fixed point; in dimension 3, these are related to the so-called Euler angles. Similarly, projective space is the space of directions of a 1-dimensional rod fixed at a point. How can one describe such a manifold, how do coordinates change? What corresponds to velocity vectors? What is the counterpart of a differential equation on such a gadget, under which conditions can it be solved? What types of symmetries are there on (some of) these manifolds, and how to exploit them? …

In mathematical terms, subjects covered by the course will include

  • Manifolds: concept, definition and examples
  • Tangent vector and tangent bundle
  • Differentiable maps between manifolds and their differentials
  • Inverse and implicit function theorem as a tool to uncover and to analyse manifolds
  • Vector fields, flows, Lie brackets

Other possible topics to be chosen from and depending on the audience:

  • Differential forms and Stokes’ Theorem
  • Distributions and the Frobenius Theorem
  • Riemannian metrics
  • Curvature concepts

The lectures will incorporate examples of the use of notions and results from differential geometry in engineering and science; the choice of examples will depend on the audience.
Prerequisites:
Solid background in mathematical techniques as obtained through engineering studies at Aalborg University, is expected.
Key literature: L. W. Tu, An Introduction to manifolds, Second Edition, 2011, Springer, New York.

Organizer: Associate professor Lisbeth Fajstrup,  

Lecturers:

ECTS: 4

Time: 31 October and 2, 7, 9, 12, 14 November 2018

Place: Fibigerstræde 11, room 115

Zip code: 9220

City: Aalborg Øst

Number of seats: 40

Deadline: 10 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Introduction to Image Processing and Computer Vision

Description: The purpose of this course is to motivate doctoral students from different fields of engineering and medicine to get familiar with basic and advanced topics of image and video processing and apply them in their own PhD projects. The course will start by giving basic image processing concepts on how an image is formed, manipulated, and analyzed. Then, the course continues into more advanced topics like different imaging sensors and data, object detection, recognition, and tracking.

Prerequisites: Basic linear algebra and Matlab.

Organizer: Associate Professor Kamal Nasrollahi, e-mail: kn@create.aau.dk

Lecturers:

ECTS: 3

Time: 10-12 April and 15 May 2018

Place:  Fredrik Bajers Vej 7H, room Frb 7H/1.106

City:
9000  Aalborg

Number of seats: 20

Deadline: 20 March 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Introduction to the PhD Study - fall d

 

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: 1/2 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:

08:30-09:10   Legislation (including details about who is the formal/informal boss of a PhD student)

09:10-09:20:  Information from the administration of the doctoral schools

09:20-09:30   Presentation of PhD Consult

09:30-09:40   Break

09:40-10:00   My life as a PhD student (presentation by current PhD student

10:00-10:45  Career planning (including peer discussions)

10:45-10:55  Break

10:55-12:00 Content of the study plan (including group discussion regarding student/supervisor relation)

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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
  • Bring a printed or electronic copy of the study plan.

 

Organizer and lecturer: Associate Professor Lars Haastrup Pedersen, lhp@bio.aau.dk   

Time:  6 September 2018 at 8:30-12:00 am

ECTS: 1/2  

Place: Fredrik Bajers Vej 7A/4-106

City: 9220  Aalborg Øst  

Number of seats: 40

Deadline:  17 August 2018

 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Welcome to Introduction to the PhD Study - fall e

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: 1/2 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:

08:30-09:10   Legislation (including details about who is the formal/informal boss of a PhD student)

09:10-09:20:  Information from the administration of the doctoral schools

09:20-09:30   Presentation of PhD Consult

09:30-09:40   Break

09:40-10:00   My life as a PhD student (presentation by current PhD student

10:00-10:45  Career planning (including peer discussions)

10:45-10:55  Break

10:55-12:00 Content of the study plan (including group discussion regarding student/supervisor relation)

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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
  • Bring a printed or electronic copy of the study plan.

 

Organizers and lecturers: Professor Claus Leth Bak clb@et.aau.dk

ECTS: 1/2   

Time: 12 October at 8:30-12:00 am  

Place: Kroghstræde 3, room 5.126

City:  9220  Aalborg

Number of seats: 40

Deadline: 21 September 2018

 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

 

Welcome to Introduction to the PhD Study - fall f

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: 1/2 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:

08:30-09:10   Legislation (including details about who is the formal/informal boss of a PhD student)

09:10-09:20:  Information from the administration of the doctoral schools

09:20-09:30   Presentation of PhD Consult

09:30-09:40   Break

09:40-10:00   My life as a PhD student (presentation by current PhD student

10:00-10:45  Career planning (including peer discussions)

10:45-10:55  Break

10:55-12:00 Content of the study plan (including group discussion regarding student/supervisor relation)

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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
  • Bring a printed or electronic copy of the study plan.

 

Organizer:   

Lecturers:    ECTS: 1/2

Time: 30 November 2018 at 8:30-12:00 am

Place: Fredrik Bajers Vej 7A, room 4-106

City: 9220 Aalborg

Number of seats: 40

Deadline: 9 November 2018

 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

.

  • Welcome to Introduction to the PhD Study - spring a


    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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
    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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
    • Bring a printed or electronic copy of the study plan.


    Organizers and lecturers: Professor Rasmus Waagepetersen rw@math.aau.dk, Professor Mads Græsbøll mgc@create.aau.dk

    ECTS: 1

    Time: 7 March 2018 at 9:00-16:00

    Place:  Fredrik Bajers Vej 7C, room  Frb7C/3-204

    City: 
    9220  Aalborg Øst

    Number of seats: 40

    Deadline: 28 February 2018

Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Welcome to Introduction to the PhD Study - spring b

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: 1/2 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:

08:30-09:10   Legislation (including details about who is the formal/informal boss of a PhD student)

09:10-09:20:  Information from the administration of the doctoral schools

09:20-09:30   Presentation of PhD Consult

09:30-09:40   Break

09:40-10:00   My life as a PhD student (presentation by current PhD student

10:00-10:45  Career planning (including peer discussions)

10:45-10:55  Break

10:55-12:00 Content of the study plan (including group discussion regarding student/supervisor relation)

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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
  • Bring a printed or electronic copy of the study plan.

Organizer and lecturer:  Professor John Rasmussen r@m-tech.aau.dk

ECTS: 1/2  

Time: 4 April 2018 at 8:30-12:00 am  

Place: Fredrik Bajersvej 7E, room Frb 7E/3-109

City:  9220  Aalborg Øst

Number of seats: 40

Deadline:  14 March 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Welcome to Introduction to the PhD Study - spring c

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: 1/2 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:

08:30-09:10   Legislation (including details about who is the formal/informal boss of a PhD student)

09:10-09:20:  Information from the administration of the doctoral schools

09:20-09:30   Presentation of PhD Consult

09:30-09:40   Break

09:40-10:00   My life as a PhD student (presentation by current PhD student

10:00-10:45  Career planning (including peer discussions)

10:45-10:55  Break

10:55-12:00 Content of the study plan (including group discussion regarding student/supervisor relation)

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 (http://www.phd.teknat.aau.dk/general-rules-regulations/)
  • Bring a printed or electronic copy of the study plan.


Organizers and l
ecturers: Professor Peter Axel Nielsen  pan@cs.aau.dk  

ECTS: 1/2  

Time:  22 June 2018 at 8:30-12:00 am

Place: Fredrik Bajersvej 7E, room Frb 7E/3-209

City:  9220  Aalborg

Number of seats: 40

Deadline: 1 June 2018

 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Welcome to Machine Learning


Description: Machine learning is concerned with the development of computer programs that allow computer (or machine) to learn from examples or experiences. Machine learning is of interdisciplinary nature, with roots in computer science, statistics and pattern recognition. In the past decade, this field has witnessed rapid theoretical advances and growing real world applications. Successful applications include machine perception (speech recognition, computer vision), control (robotics), data mining, web search and text classification, time-series prediction, system modelling, bioinformatics, data compression, and many more.


This course will give a comprehensive introduction to machine learning both by presenting technologies proven valuable and by addressing specific problems such as pattern recognition and data mining. This course covers both theory and practices for machine learning, but with an emphasis on the practical side namely how to effectively apply machine learning to a variety of problems. Topics will include

  • Supervised learning (of classification and regression functions)

K-nearest neighbors, decision trees, naïve Bayes, support vector machines, logistic regression, evolutionary algorithms, Bayesian Networks, hidden Markov model, neural networks, boosting

  • Unsupervised learning and clustering

K-means, hierarchical clustering (agglomerative and divisive), principal component analysis, Expectation Maximization algorithm

  • Reinforcement learning


Prerequisites: Basic probability and statistics theory, linear algebra.


Literature:

Machine Learning – A Probabilistic Perspective, Kevin P. Murphy, The MIT Press, 2012

Introduction to Machine Learning – second edition, Ethem Alpaydin, The MIT Press, 2009

Pattern Recognition and Machine Learning, Chris Bishop, Springer, 2006

Pattern Classification, Second Edition, Richard O. Duda, Peter E. Hart, David G. Stork, Wiley Interscience, 2001.



Organizer and lecturer: Professor Zheng-Hua Tan, e-mail: zt@es.aau.dk, http://kom.aau.dk/~zt/

ECTS: 3

Time: 14, 16, 19, 21, and 23 March 2018, from 9:00-16:00 each day

Place:
14, 16, 21 and 23 March - Krogstræde 3, room Ks 3/5.126
19 March Krogstræde 3, room Ks 3/3.135

City: 9220  Aalborg Øst

Number of seats: 50

Deadline: 13 March 2018 - please contact Helene Ulrich Pedersen hup@adm.aau.dk for enrolment.
 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Management of Research and Development

Description: The course has the two-fold purpose to prepare Ph.D. students for their future jobs by providing insight in how to carry out R&D projects in an organizational context and how to manage their own projects. A graduate from an Engineering PhD Program will typically become either a member or a manager of teams or departments working with innovation and research/development tasks. Not only will she/he be expected to be able to contribute scientifically and technically; but will also be responsible for initiating research and development projects, for managing and working with other scientists, engineers and technicians, and for establishing a constructive co-operation with other departments in the organization. This course aims at preparing the PhD students for this situation. The course will teach theory and practical methods for development proficiency in these subject-areas.

Organizer: Professor Frank Gertsen, e-mail: fgertsen@business.aau.dk

Lecturers:

ECTS: 2.5

Time: 1-3 May 2018

Place:  Niels Jernes Vej 14, room Njv 14/4-107

Zip code: 9220

City: Aalborg Øst

Number of seats: 50

Deadline: 10 April 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Welcome to Mixed Models with Biomedical and Engineering Applications

Description: Mixed models provide a flexible framework for analyzing data with multiple sources of random variation and they are indispensable in many medical, biological, and engineering applications. When treatments are tested in medical applications, the responses for individuals receiving the same treatment often vary due to unobserved genetic factors and this variation must be taken into account when comparing ifferent treatments. Similarly, in agricultural field trials, random soil variation affects the yield within plots. In quality control applications, the variability of the output of a production process may, apart from random noise, e.g. depend on the batches of raw material used and the employee involved in the manufacturing process. The course will provide an introduction to statistical analysis with linear mixed models. Linear mixed models is a unified framework for classical random effects ANOVA models, random coefficient models and linear models for longitudinal data with associated user-friendly implementations in R and SPSS. Linear mixed models moreover provide generalizations of the classical models to complex data not covered by he standard statistical toolbox. The course will focus on modeling with mixed models, on how a statistical analysis can be carried out for a mixed model, and on interpretation of models and results. Hands-on experience with real data will be obtained through computer exercises. Prerequisites: A basic knowledge of statistics (linear regression) and probability theory (random variables, expectation variance and covariance) is expected.

Organizer and lecturer: Professor Rasmus Waagepetersen, e-mail: rw@math.aau.dk 

ECTS: 1.5

Time: 2 and 9 October 2018, 08:15-16:00

Place:
2 October 2018, Fibigerstræde 14, room 59
9 October 2018, Fibigerstræde 11, room 115

Zip code: 9220

City: Aalborg Øst

Number of seats: 20

Deadline: 10 September 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Professional Communication

Description: The course will take both a theoretical and a practical approach. The theoretical approach by conceptualising the planning, presentation and evaluation processes emphasising the communicative aspects. The practical approach by training the oral communication in a video laboratory where the participants are asked to make a presentation of both a self-selected subject and a self-selected situation. The course will be organised in three parts: First, the participants will be asked to prepare a presentation. Second, there will be a presentation of concepts at the seminar followed by the video laboratory. Third, at the end of the seminar the participants will be asked to set up a personal plan for improvement. Before the course starts, the participants will receive a collection of relevant papers. The issues raised in this course will not be subject-based but participant-based on a general level for scientific communication. PhD students from other faculties and universities can benefit from attending the course.
Objectives: The objective is to train and improve the participants’ skills in oral communication especially at scientific conferences and in university teaching.

Organizers and lecturers: Professor Anette Kolmos, ak@plan.aau.dk and Associate Professor Pia Bøgelund pb@plan.aau.dk 

ECTS: 2.5

Time: 24-26 April 2018

Place:  Niels Jernes Vej 12, room Njv 12A/5-006

Zip code: 9220

City: Aalborg Øst

Number of seats: 22

Deadline: 3 April 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

 

Welcome to Professional Communication

Description: The course will take both a theoretical and a practical approach. The theoretical approach by conceptualising the planning, presentation and evaluation processes emphasising the communicative aspects. The practical approach by training the oral communication in a video laboratory where the participants are asked to make a presentation of both a self-selected subject and a self-selected situation. The course will be organised in three parts: First, the participants will be asked to prepare a presentation. Second, there will be a presentation of concepts at the seminar followed by the video laboratory. Third, at the end of the seminar the participants will be asked to set up a personal plan for improvement. Before the course starts, the participants will receive a collection of relevant papers. The issues raised in this course will not be subject-based but participant-based on a general level for scientific communication. PhD students from other faculties and universities can benefit from attending the course.

Objectives: The objective is to train and improve the participants’ skills in oral communication especially at scientific conferences and in university teaching.

Organizers and lecturers: Professor Anette Kolmos, ak@plan.aau.dk and Associate Professor Pia Bøgelund pb@plan.aau.dk 

ECTS: 2.5

Time: 7-9 November 2018, 9:00-16:00.

Place:
7 November, Niels Jernes Vej 6A, room 1.27
8 November, Niels Jernes Vej 6A, room 1.27
9 November, Niels Jernes Vej 6A, room 1.26
   + Niels Jernes Vej 6A, room 1.25
   + Niels Jernes Vej 6A, room 1.18

Zip code: 9220

City: Aalborg Øst

Number of seats: 18

Deadline: 17 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

 

Welcome to Project Management and Interpersonal Skills

Description: This course is a practical ‘hands on’ workshop, which will support PhD students in their endeavors to manage the PhD project. The focus is twofold: 1) enhancing project management skills in a university culture that is characterized by unruly creative work, lack of formal structures and network organization. 2) Enhancing interpersonal skills, particularly in relation to the cooperation with supervisors and other important stakeholders.

The workshop will introduce and illustrate an easy and down to earth method on how to plan your time on a daily basis inspired by Steven Covey (2005) and the game plan approach from the world of coaching. The course will also work with the Core Quality Quadrant (Ofman, 2004) as a tool to explore interpersonal communication structure. Key issues in the relationship between PhD student and supervisor will be identified and analyzed by means of role-play.

There will be a possibility for an individual follow up coaching session after a month for those PhD students that find it beneficial.   Target group: • PhD students preferably during their first year

Time schedule for the workshop: One workshop will be held in the spring and one in the fall

 

Objectives: To show the PhD student:

  • How to be a good project planner on a daily basis in a university setting
  • How to apply the Core Quality method to understand your own role in interpersonal relationships
  • How to use basic negotiating skills in making agreements with your supervisor
  • How to build a network in academia

Course structure:

  • 2 consecutive days consisting of a mix of introductions and exercises individually and in groups.
  • An assignment related to actual skills is to be send in before the workshop
  • Relevant literature will be introduced during the course

 

Completion of the course: Handing in assignments and participating in the course are criteria for passing the course.

Course program: Day 1 Planning and time management. Day 2 Interpersonal skills and negotiation

Course literature:

Covey, Stephen R. The seven habits of highly effective people. 2005. ISBN 9780743268165

Ofman, D. Core. Qualities and the Core Quadrant. Core Quality International, 1999. ISBN 90 5594 1697.  7th edition 32013.

Phillips, E.M. & D.S. Pugh. How to get a PhD? A handbook for students and their supervisors (Third edition). Open University Press, Buckingham, 2000. P 235.

Prochaska, James O. et al. Changing for good. Changing for Good: A Revolutionary Six-Stage Program for Overcoming Bad Habits and Moving Your Life Positively Forward. 1994/2008

Organizer and lecturer: Associate Professor Pia Bøgelund, e-mail: pb@plan.aau.dk 

ECTS: 2

Time: 20-21 November 2018, 9:00-16:00

Place: Fibigerstræde 13, room 055

Zip code: 9220

City: Aalborg Øst

Number of seats: 20

Deadline: 30 October 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Project Management and Interpersonal Skills

Description: This course is a practical ‘hands on’ workshop, which will support PhD students in their endeavors to manage the PhD project. The focus is twofold: 1) enhancing project management skills in a university culture that is characterized by unruly creative work, lack of formal structures and network organization. 2) Enhancing interpersonal skills, particularly in relation to the cooperation with supervisors and other important stakeholders.

The workshop will introduce and illustrate an easy and down to earth method on how to plan your time on a daily basis inspired by Steven Covey (2005) and the game plan approach from the world of coaching. The course will also work with the Core Quality Quadrant (Ofman, 2004) as a tool to explore interpersonal communication structure. Key issues in the relationship between PhD student and supervisor will be identified and analyzed by means of role-play.

There will be a possibility for an individual follow up coaching session after a month for those PhD students that find it beneficial.   Target group: • PhD students preferably during their first year

Time schedule for the workshop: One workshop will be held in the spring and one in the fall

 

Objectives: To show the PhD student:

  • How to be a good project planner on a daily basis in a university setting
  • How to apply the Core Quality method to understand your own role in interpersonal relationships
  • How to use basic negotiating skills in making agreements with your supervisor
  • How to build a network in academia

Course structure:

  • 2 consecutive days consisting of a mix of introductions and exercises individually and in groups.
  • An assignment related to actual skills is to be send in before the workshop
  • Relevant literature will be introduced during the course

 

Completion of the course: Handing in assignments and participating in the course are criteria for passing the course.

Course program: Day 1 Planning and time management. Day 2 Interpersonal skills and negotiation

Course literature:

Covey, Stephen R. The seven habits of highly effective people. 2005. ISBN 9780743268165

Ofman, D. Core. Qualities and the Core Quadrant. Core Quality International, 1999. ISBN 90 5594 1697.  7th edition 32013.

Phillips, E.M. & D.S. Pugh. How to get a PhD? A handbook for students and their supervisors (Third edition). Open University Press, Buckingham, 2000. P 235.

Prochaska, James O. et al. Changing for good. Changing for Good: A Revolutionary Six-Stage Program for Overcoming Bad Habits and Moving Your Life Positively Forward. 1994/2008

Organizer and lecturer: Associate Professor Pia Bøgelund, e-mail: pb@plan.aau.dk 

ECTS: 2


Time: 15-16 May 2018, 9.00 - 16.00

Place: Niels Jernes Vej 14, room Njv 14/4-117

City:
9220 Aalborg Øst

Number of seats: 20

Deadline: 24 April 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Scientific Computing using Python - 1. Python + Scientific Computing

NB This course is one out of two alternates to follow the basic course in Scientific Computing using Python. Link to the other basic course: https://phd.moodle.aau.dk/course/view.php?id=918

Description: Many research projects involve scientific computing for analyzing [big] data and/or simulating complex systems. This makes it necessary to have a systematic approach to obtaining well-tested and documented code. Further, we see an increased interest in reproducible research, which allows other researchers the opportunity to dig further into others research results as well as easy access to results and improving productivity by reusing code and software.

This is an introductory course in scientific computing using the increasingly popular programming language Python. Python is gaining popularity in science due to a number of advantages such as having a rich set of libraries for computing and data visualization, excellent performance optimizing possibilities, standard tools for simple parallel computing, fast development cycle and high productivity – just to name a few. Python is open source and as such an asset for any researcher following the reproducible research paradigm.

The course covers two main areas: i) The Python programming language itself and ii)various aspects of scientific computing. This specific course content is as follows:

The Python language:

  1. Course introduction
    1. Historical overview of scientific computing and high performance computing
  2. Python development environment
    1. Python from above
    2. Datatypes, built-in functions
    3. Branching and looping
    4. Functions (definition, built-in, lambda)
    5. Module and packages
  3. Debugging and testing
    1. Unittest
    2. Doctest
    3. Pdb (breapoints and post-mortem)
  4. Basic scientific computing packages
    1. Numpy (numerical computing - array based - vectorization)
    2. Scipy (vaious tools for integration, optimization, etc.)
    3. Matplotlib (data visualization)
    4. H5py (data storage/access via HDF)
    5. Documentation using Sphinx

Scientific computing:

  1. Basic issues related to computation sciences such as
    1. Floating-point representation
    2. Numerical accuracy and condition number
    3. Cancellation
    4. Algorithmic complexity
  2. Scientific software development
    1. Version control (via git)
    2. Code documentation
    3. Test procedures (what to test - and how)
    4. Code refactoring

Audience: The targeted audience is mainly engineers or similar with an interest in developing robust, portable and high quality code for various scientific computing purposes. By this we mean code to solve actual problems where [lots of] floating-point computations are needed. It is not a course in object-oriented programming and we apply a procedural approach to programming in the course.

Prerequisites: Participants must have some basic experience in code development in e.g. MATLAB, C or FORTRAN. Further, some basic skills in general use of a computer are expected. The tools applied work best using Linux or Mac OSX – Microsoft Windows may experience challenges when using parallel computing (but this should not be a problem for this part of the course).

Learning objectives: After completing the course the participants will:

  1. have fundamental knowledge of important aspects of scientific computing
  2. be able to map a mathematically formulated algorithm to Python code
  3. know how to document, debug and test the developed code.
  4. know when and how to optimize Python code

Teaching methods: A combination of lectures, demonstrating examples using iPython notebooks, smaller exercises and a mini-project is used to facilitate learning. The course is rich in examples and active user participation is expected to facilitate learning – the topics covered demand a “learning by doing” approach.

Criteria for assessment: A standard mini-project must be delivered (4-8 pages) in addition to the developed code. The code must include testing/validation, and performance evaluation. An acceptable mini-project and at-least 75% participation is required to pass the course.

Key literature: We expect to use a combination of the following:

  1. Selection of a few chapters in Python books (specified at a later stage)
  2. References to Python and all relevant packages (freely available via http://python.org)
  3. A number of scientific papers relevant for specific parts of the course.



Organizer and lecturer: Associate Professor Thomas Arildsen, e-mail: tha@es.aau.dk, Department of Electronic Systems 

ECTS: 2.5

Time: 7-9 May 2018, 8:30-15:30

Place:  Niels Jernes Vej 14, room Njv 14/3-119

Zip code:
9220

City:
Aalborg Øst

Number of seats: 25

Deadline: 16 April 2018


Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Scientific Computing using Python - 1. Python + Scientific Computing

NB This course is one out of two alternates to follow the basic course in Scientific Computing using Python. Link to the other basic course: https://phd.moodle.aau.dk/course/view.php?id=917 


Description: Many research projects involve scientific computing for analyzing [big] data and/or simulating complex systems. This makes it necessary to have a systematic approach to obtaining well-tested and documented code. Further, we see an increased interest in reproducible research, which allows other researchers the opportunity to dig further into others research results as well as easy access to results and improving productivity by reusing code and software.

This is an introductory course in scientific computing using the increasingly popular programming language Python. Python is gaining popularity in science due to a number of advantages such as having a rich set of libraries for computing and data visualization, excellent performance optimizing possibilities, standard tools for simple parallel computing, fast development cycle and high productivity – just to name a few. Python is open source and as such an asset for any researcher following the reproducible research paradigm.

The course covers two main areas: i) The Python programming language itself and ii)various aspects of scientific computing. This specific course content is as follows:

The Python language:

  1. Course introduction
    1. Historical overview of scientific computing and high performance computing
  2. Python development environment
    1. Python from above
    2. Datatypes, built-in functions
    3. Branching and looping
    4. Functions (definition, built-in, lambda)
    5. Module and packages
  3. Debugging and testing
    1. Unittest
    2. Doctest
    3. Pdb (breapoints and post-mortem)
  4. Basic scientific computing packages
    1. Numpy (numerical computing - array based - vectorization)
    2. Scipy (vaious tools for integration, optimization, etc.)
    3. Matplotlib (data visualization)
    4. H5py (data storage/access via HDF)
    5. Documentation using Sphinx

Scientific computing:

  1. Basic issues related to computation sciences such as
    1. Floating-point representation
    2. Numerical accuracy and condition number
    3. Cancellation
    4. Algorithmic complexity
  2. Scientific software development
    1. Version control (via git)
    2. Code documentation
    3. Test procedures (what to test - and how)
    4. Code refactoring

Audience: The targeted audience is mainly engineers or similar with an interest in developing robust, portable and high quality code for various scientific computing purposes. By this we mean code to solve actual problems where [lots of] floating-point computations are needed. It is not a course in object-oriented programming and we apply a procedural approach to programming in the course.

Prerequisites: Participants must have some basic experience in code development in e.g. MATLAB, C or FORTRAN. Further, some basic skills in general use of a computer are expected. The tools applied work best using Linux or Mac OSX – Microsoft Windows may experience challenges when using parallel computing (but this should not be a problem for this part of the course).

Learning objectives: After completing the course the participants will:

  1. have fundamental knowledge of important aspects of scientific computing
  2. be able to map a mathematically formulated algorithm to Python code
  3. know how to document, debug and test the developed code.
  4. know when and how to optimize Python code

Teaching methods: A combination of lectures, demonstrating examples using iPython notebooks, smaller exercises and a mini-project is used to facilitate learning. The course is rich in examples and active user participation is expected to facilitate learning – the topics covered demand a “learning by doing” approach.

Criteria for assessment: A standard mini-project must be delivered (4-8 pages) in addition to the developed code. The code must include testing/validation, and performance evaluation. An acceptable mini-project and at-least 75% participation is required to pass the course.

Key literature: We expect to use a combination of the following:

  1. Selection of a few chapters in Python books (specified at a later stage)
  2. References to Python and all relevant packages (freely available via http://python.org)
  3. A number of scientific papers relevant for specific parts of the course.



Organizer and lecturer: Associate Professor Thomas Arildsen, e-mail: tha@es.aau.dk, Department of Electronic Systems 

ECTS: 2.5

Time: 16-18 May 2018 from 8:30 to 15:30

Place:   Niels Jernes Vej 14, room Njv 14/3-119 

Zip code:
9220

City:
Aalborg Øst

Number of seats: 25

Deadline: 25 April 2018


Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Scientific Computing using Python - 2. High Performance Computing in Python


Description: Many research projects involve scientific computing for analyzing [big] data and/or simulating complex systems. This makes it necessary have a systematic approach to obtaining well-tested and documented code. Further, we see an increased interest in reproducible research, which allows other researchers the opportunity to dig further into research results as well as easy access to results and improving productivity by reusing code and software.

This is a course in scientific computing using the increasingly popular programming language Python. Python is gaining popularity in science due to a number of advantages such as having a rich set of libraries for computing and data visualization, excellent performance-optimizing possibilities, standard tools for simple parallel computing, fast development cycle and high productivity – just to name a few. Python is open source and as such an asset for any researcher following the reproducible research paradigm.

This part of the course covers the main area: High performance computing.

High performance computing:

  1. High-performance computing and computer architectures
  2. Performance optimization
    1. Cython (compiled Python via C-extensions)
    2. Numba (just in time compilation)
    3. f2py (inclusion of Fortran code in Python)
  3. Parallel/distributed computing
    1. Theoretical aspects (Amdahl's and Gustafson-Barsis' law)
    2. Parallel computingon one computer
    3. Distributed computing across multiple computers

Audience: The targeted audience is mainly engineers or similar with an interest in developing robust, portable and high quality code for various scientific computing purposes. By this we mean code to solve actual problems where [lots of] floating-point computations are needed.

Prerequisites: Participants must have some experience in programming Python. If not, there is an introductory course "Scientific Computing Using Python - 1. Python + Scientific Computing". Further, some basic skills in general use of a computer are expected. The tools applied work best using Linux or Mac OSX – Microsoft Windows may experience challenges when using parallel computing.

Criteria for assessment: A standard mini-project must be delivered (4-8 pages description) in addition to the developed code. The code must include testing/validation, and performance evaluation of parallel computing. An acceptable mini-project and at-least 75% participation is required to pass the course.

Learning objectives: After completing the course the participants will:

  1. Know how to use methods and software for performance optimization.
  2. know when and how to apply parallel computing for scientific computing.



Organizer and lecturer: Associate Professor Thomas Arildsen, e-mail: tha@es.aau.dk, Department of Electronic Systems 

ECTS: 2

Time: 29-30 May 2018 from 8:30 to 15:30

Place:  Niels Jernes Vej 14, room Njv 14/3-119

Zip code:
9220

City:
Aalborg Øst

Number of seats: 25

Deadline: 8 May 2018


Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Writing and Reviewing Scientific Papers

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.

NOTE: Papers and reviews MUST be uploaded via the website: wrsp1.es.aau.dk

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

ECTS: 3.75

Time: 18 September and 13 November 2018,  9:00-16:00

Place:
18 September, Kroghstræde 3, room 5.126
13 November, Kroghstræde 3, room 5.130

Zip code: 9220

City: Aalborg Øst

Number of seats: 50

Deadline: 28 August 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Writing and Reviewing Scientific Papers

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.

NOTE: Papers and reviews MUST be uploaded via the website: wrsp1.es.aau.dk

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

ECTS: 3.75

Time: 6 February and 18 April 2018,  9:00-16:00

Place:
6 February -  Niels Jernesvej 6A, room Njv 6A/1.50
18 April - Frederiks Bajersvej 7A, room Frb 7A/4-108 

City: 9220  Aalborg Øst

Number of seats: 50

Deadline: 16 January 2018

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Writing and Reviewing Scientific Papers

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.

NOTE: Papers and reviews MUST be uploaded via the website: wrsp1.es.aau.dk

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

ECTS: 3.75

Time: 13 February and 4 May 2018,  9:00-16:00

Place:  Niels Jernesvej 14, room Njv 14/4-117

Zip code: 9220

City: Aalborg Øst

Number of seats: 50

Deadline: 12 February 2018 (Please contact Helene Ulrich hup@adm.aau.dk for enrolment)

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.