Welcome to Introduction to the PhD Study, Spring 1


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 

The administrative organization of the Doctoral School 

The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan 

Project management, project organization 

Publications as deliverables 

How to keep on-track during your PhD study

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.



  • Lecturers: Professor John Rasmussen and Professor Rafael Wisniewski

  • ECTS: 1

  • Time: 3 February 2017, from 9:00-16:00

  • Place: Frederik Bajers Vej 7B/2-107

  • Zip code: 9220

  • City: Aalborg

  • Number of seats: 40

  • Deadline: 20 January 2017 

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.



Welcome to Introduction to the PhD Study - Spring 2

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 

The administrative organization of the Doctoral School 

The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan 

Project management, project organization 

Publications as deliverables 

How to keep on-track during your PhD study

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

Lecturers: Professor Rasmus Waagepetersen rw@math.aau.dk, Professor Mads Græsbøll mgc@create.aau.dk and
Mogens Berg Laursen mogens_berg@dcm.aau.dk


ECTS: 1

Time: April 18, 2017, at 09:00 - 16:00

Place: Aalborg Univeristy, Frederiks Bajers Vej, room Frb 7B/2-107 

City: 9220 Aalborg

Number of seats: 40

Deadline: 28 March 2017

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 - Spring 2


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 ·

The administrative organization of the Doctoral School ·

The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan ·

Project management, project organization ·

Publications as deliverables ·

How to keep on-track during your PhD study

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: Professor Rasmus Waagepetersen rw@math.aau.dk

Lecturers: Professor Rasmus Waagepetersen rw@math.aau.dk, Clinical Professor Søren Risom Kristensen srk@dcm.aau.dk

ECTS: 1

Time: 9 June, 2017, 9:00-16:00

Place: Aalborg University, Frederiks Bajers Vej 7C, room Frb 7C/2-209


City: 9220 Aalborg

Number of seats: 40

Deadline: 19 May 2017

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 1


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 ·
The administrative organization of the Doctoral School ·
The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan ·

Project management, project organization ·
Publications as deliverables ·
How to keep on-track during your PhD study
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 John Rasmussen jr@make.aau.dk og Peter Axel Nielsen pan@cs.aau.dk

ECTS: 1

Time:
8 September 2017

Place:
Aalborg University

City:
9220 Aalborg

Number of seats: 40

Deadline: 18 August 2017

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 2

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 · The administrative organization of the Doctoral School · The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan ·
Project management, project organization · Publications as deliverables · How to keep on-track during your PhD study 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 Ole Kæselser Andersen oka@hst.aau.dk and Associate Professor Lars Haastrup lhp@bio.aau.dk

ECTS: 1

Time: 13 October 2017

Place: Aalborg University

City: 9220 Aalborg

Number of seats: 40

Deadline:  22 September 2017

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 3

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 · The administrative organization of the Doctoral School · The PhD student organization: PAU

3. My life as a PhD student: Experiences from PhD students

4. Writing the study plan · Project management, project organization · Publications as deliverables · How to keep on-track during your PhD study 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 Lars Bo Henriksen lbh@plan.aau.dk and  Professor Rafal Wisniewski raf@es.aau.dk

ECTS: 1

Time: 30 November 2017

Place: Aalborg University

City: 9220 Aalborg

Number of seats: 40

Deadline:  9 October 2017

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 Professional Communication, Spring 1


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.  

Organizer: 
Anette Kolmos ak@plan.aau.dk and Pia Bøgelund, email: pb@plan.aau.dk

Lecturers:


ECTS: 
2.5 

Time:
3-5 April 2017

Place: Niels Jernes Vej 12, room Njv 12A/6-104 

Zip code9220

City
Aalborg 

Number of seats: 
22

Deadline: 
13 March 2017

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, Fall 1

 

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.

Organizer: Professor Anette Kolmos, ak@plan.aau.dk

ECTS: 2.5

Time: 08-10 November 2017

Place: 

Zip code: 9220

City: Aalborg Ø

Number of seats: 24

Deadline: 18 October 2017

 

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.

Preparation:  All materials for preparation will be made accessable in week 15 or before.

Organizer: Professor Frank Gertsen, email: fgertsen@business.aau.dk

Lecturers: Frank Gertsen (FG), Professor, Center for Industrial Production, Department of Business & Management & Ulla Sparre, MMT eMBA, CEO at Vitus Bering Innovation Park

ECTS: 2.5

Time: 19-21 April 2017  - The lectures run 9-16, except Friday, where we finish 15.30. 

Place: Niels Jernes Vej 14, room Njv 14/4-111

City: 9220 Aalborg Ø 

Number of seats: 50

Deadline: 29 March 2017

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: PhD coach Pia Bøgelund, email: pb@plan.aau.dk

Lecturer: PhD coach Pia Bøgelund

ECTS: 2

Time: 16 and 17 May 2017

Place:  Niels Jernes Vej 12, Njv 12A/6-104 

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: The course is full but you may contact the PhD school (Helene, hup@adm.aau.dk) to get on a waiting list. Otherwise the course is available in the fall again. 

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, Fall

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: PhD coach Pia Bøgelund, email: pb@plan.aau.dk

Lecturer: PhD coach Pia Bøgelund

ECTS: 2

Time: 21-22 November 2017

Place:

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: 31 October 2017

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 Library Information Management – Spring 1

Description: The purpose of this course is to give you skills to search, evaluate and organize the information you need as a researcher. The course will also focus on the important aspects when publishing your research results and having a publication strategy. In connection with the course you are going to work with your own PhD-research project, e.g. creating systematic searches and working with a publication strategy. The course can be recommended to students starting their PhDs.

The course does not focus on methods for medical information searching and publishing. If you want to focus on medical information searching and publishing you must attend the course Health Scientific Searching and Publishing. The course is announced on Phd Moodle.

Search strategies Methods to search information following structured search strategies will be introduced - needed e.g. for when doing a literature review. You learn to limit, evaluate and process your search results. The course is a “toolbox for research” course and you are going to work hands-on with search strategies for your own PhD-project in a workshop form.

Publication strategy Impact, citations, and visibility in the scientific community are factors crucial for researchers to be aware of and be able to evaluate according to your own publication strategy. Different evaluation metrics such as journal impact and h-index will also be introduced as well as the databases where you find these metrics. The implications of the Danish Bibliometric Research Indicator will be presented and how it will affect you as a researcher at Aalborg University.

Preparation before the course There is a reading list that you will find as a file attached to the Moodle description. As preparation for the class exercises you are asked to skim an article that it also attached here on Moodle.

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

Accommodation There will be coffee, tea and a breakfast roll in the morning. Lunch you have to bring yourself or go to the canteen at Fibigerstræde 15 to buy. There is approximately a 10 minutes’ walk to the canteen.

Course language English.

Hint Remember to bring your computer

Organizer: Bente Lope, librarian, M.L.I.Sc., email: bl@aub.aau.dk

Lecturers:  Sabine Dreier, M.L.I.Sc. & Bente Lope, M.L.I.Sc.

ECTS: 1

Date & Time: 07 March 2017, 8:30 - 15:30

Place: Langagervej 2, Room Finsen

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: 14 February 2017

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 Library Information Management, Spring 2

Description: The purpose of this course is to give you skills to search, evaluate and organize the information you need as a researcher. The course will also focus on the important aspects when publishing your research results and having a publication strategy. In connection with the course you are going to work with your own PhD-research project, e.g. creating systematic searches and working with a publication strategy. The course can be recommended to students starting their PhDs.

The course does not focus on methods for medical information searching and publishing. If you want to focus on medical information searching and publishing you must attend the course Health Scientific Searching and Publishing. You can find the course on Phd Moodle at AAU.

Search strategies Methods to search information following structured search strategies will be introduced - needed e.g. for when doing a literature review. You learn to limit, evaluate and process your search results. The course is a “toolbox for research” course and you are going to work hands-on with search strategies for your own PhD-project in a workshop form.

Publication strategy Impact, citations, and visibility in the scientific community are factors crucial for researchers to be aware of and be able to evaluate according to your own publication strategy. Different evaluation metrics such as journal impact and h-index will also be introduced as well as the databases where you find these metrics. The implications of the Danish Bibliometric Research Indicator will be presented and how it will affect you as a researcher at Aalborg University.

Preparation before the course There is a reading list that you will find as a file attached to the course description. As preparation for the class exercises you are asked to skim an article that it also attached.

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

Accommodation There will be coffee, tea and a breakfast roll in the morning. Lunch you have to bring yourself or go to the canteen at Fibigerstræde 15 to buy. There is approximately a 10 minutes’ walk to the canteen.

Course language English.

Hint Remember to bring your computer.

Organizer: Bente Lope, librarian, M.L.I.Sc., email: bl@aub.aau.dk

Lecturers: Helle Brink, M.L.I.Sc. & Tine Furbo Carlsen, M.L.I.Sc.

ECTS: 1

Date & Time: 9 March 2017, 8:30 - 15:30

Place: Langagervej 2, Room Finsen

Zip code: 9220

City: Aalborg

Number of seats: 20

Deadline: 16 February 2017

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 Library Information Management, CPH Spring

Description: The purpose of this course is to give you skills to search, evaluate and organize the information you need as a researcher. The course will also focus on the important aspects when publishing your research results and having a publication strategy. In connection with the course you are going to work with your own PhD-research project, e.g. creating systematic searches and working with a publication strategy. The course can be recommended to students starting their PhDs.

The course does not focus on methods for medical information searching and publishing. If you want to focus on medical information searching and publishing you must attend the course Health Scientific Searching and Publishing. You can find the course announced on Phd Moodle at AAU.

Search strategies Methods to search information following structured search strategies will be introduced - needed e.g. for when doing a literature review. You learn to limit, evaluate and process your search results. The course is a “toolbox for research” course and you are going to work hands-on with search strategies for your own PhD-project in a workshop form.

Publication strategy Impact, citations, and visibility in the scientific community are factors crucial for researchers to be aware of and be able to evaluate according to your own publication strategy. Different evaluation metrics such as journal impact and h-index will also be introduced as well as the databases where you find these metrics. The implications of the Danish Bibliometric Research Indicator will be presented and how it will affect you as a researcher at Aalborg University.

Preparation before the course: There is a reading list that you will find as a file attached to the Moodle description. As preparation for the class exercises you are asked to skim an article that it also attached here on Moodle.

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

Accommodation: There will be coffee, tea and a breakfast roll in the morning. Lunch you have to bring yourself or go to the canteen to buy.

Course language: English.

Hint: Remember to bring your computer.

Organizer: Bente Lope, librarian, M.L.I.Sc., email: bl@aub.aau.dk

Lecturers: Gitte Thomsen, M.L.I.Sc. & Bente Lope, M.L.I.Sc.

ECTS: 1

Date & Time: 17 March 2017, 9:00 - 15:30

Place: A.C. Meyers Vænge 15, room 2.1.043

Zip code: 2450

City: København SV

Number of seats: 20

Deadline: 24 February 2017

 

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 Searching, Publishing & Information Management - Fall 1

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science and the Technical Faculty of IT and Design. We offer a similar course for PhD students within the Faculty of Medicine "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 can be 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 is 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.

Preparation before the course: Please see the attached file with articles of subject covered in the course. As preparation for the class exercises, you are asked to skim an article which is also attached.

Exercises: There will be both class exercises and home exercises. The home exercises are 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: Remember to bring your computer.

Organizer: Louise Thomsen, librarian, M.L.I.Sc., email: 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

Date: 11-12 September, 2017
Time: 9:00 a.m. - 3.00 p.m.

Place:
Langagervej 2, Room "Finsen"
City:
9220 Aalborg

Number of seats: 20

Deadline: 1 September 2017


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 Searching, Publishing & Information Management - Fall 2

Please observe that this course is intended for PhD students within the Faculty of Engineering and Science and the Technical Faculty of IT and Design. We offer a similar course for PhD students within the Faculty of Medicine "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 can be 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 is 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.

Preparation before the course: Please see the attached file with articles of subject covered in the course. As preparation for the class exercises, you are asked to skim an article which is also attached.

Exercises: There will be both class exercises and home exercises. The home exercises are 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: Remember to bring your computer.

Organizer: Louise Thomsen, librarian, M.L.I.Sc., email: 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

Date: 21-22 September, 2017
Time: 9:00 a.m. - 3:00 p.m.

Place: Langagervej 2, Room "Finsen"
City: 9220 Aalborg

Number of seats: 20

Deadline:
6 September, 2017

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 Searching, Publishing & Information Management CPH - Fall

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 can be 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 is 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.

The course does not focus on methods for medical information searching and publishing. For this purpose, 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 subject covered in the course. As preparation for the class exercises, you are asked to skim an article which is also attached.

Exercises: There will be both class exercises and home exercises. The home exercises are 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: Remember to bring your computer.

Organizer: Louise Thomsen, librarian, M.L.I.Sc., email: 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

Date: 14-15 September, 2017
Time: 9:00 a.m. - 3.00 p.m.

Place:
To be announced
City:
2450 København SV

Number of seats: 20

Deadline:
1 September 2017

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, Spring 1


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

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


Organizer: Professor Jakob Stoustrup, email: jakob@es.aau.dk


Lecturer: Professor Jakob Stoustrup

ECTS: 3.75

Time: 14 February and 9 May 2017, from 9:00-16:00

Place:
14 February: Kroghstræde 7/061
9 May: Frederik Bajers Vej 7B/2-104

Zip code:
 9220

City: 
Aalborg

Number of seats: 50

Deadline: 24 January 2017

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


Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 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, Spring 2

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

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

Organizer: Professor Jakob Stoustrup, email: jakob@es.aau.dk

Lecturer: Professor Jakob Stoustrup

ECTS: 3.75

Time: 21 February and 16 May 2017, from 9:00-16:00

Place:
21 February: Fibigerstræde 2.21
16 May: Frederik Bajers Vej 7A/4-106

Zip code: 9220

City: Aalborg

Number of seats: 50

Deadline: 31 January 2017

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

 

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 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, Fall

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

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

Organizer: Professor Jakob Stoustrup, email: jakob@es.aau.dk

Lecturer: Professor Jakob Stoustrup

ECTS: 3.75

Time: 19 September and 23 November 2017

Place:

Zip code: 9220

City: Aalborg

Number of seats: 50

Deadline: 29 August 2017

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

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 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.

Prerequisites: Participants must have a working knowledge of elementary statistical methods such as regression models and analysis of variance.

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: 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: Søren Højsgaard, Department of Mathematical Science, email: sorenh@math.aau.dk

Lecturers: Søren Højsgaard who 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.

ECTS: 4

Time and place:
26, 27, 28 April 2017 Frederiks Bajers Vej 7D, room Frb 7D/2-106  and
8, 9,10 May 2017  Frederiks Bajers Vej 7C, room Frb 7C/3-204

City: 9220  Aalborg 

Number of seats: 40

Deadline: 29 March 2017

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 High-Performance Computing Clusters


Description:

Over the last decades there have been a tremendous increases in the computational performance of computers despite these improvements, many researchers today still rely on hour long computations in their research. High-Performance computing cluster can enable researchers to utilize the combined performance of multiple computers to perform experiments
faster og scale experiments to larger instances to enable research otherwise not possible.

The course requires experience with programming in C or similar languages and knowledge of Linux/Unix (able to navigate around with a command-line interface and able to write basic shell scripts)

The goal is to give the student a basic introduction to the skills needed to utilise a high performance computing cluster in their research.

After participating in the course the student should be able to:
access and use a high performance computing cluster
develop programs for a high performance cluster

Organizer: Postdoc Andreas Engelbredt Dalsgaard,

Lecturers: Postdoc Andreas Engelbredt Dalsgaard, and Associate Professor Josva Kleist,

ECTS: 2,5

Time: 6-10 February

Place:
6 February, Niels Jernes Vej 12A/6-104
7-10 February, Frederik Bajers Vej 7D/2-106

Zip code:
9220

City:
Aalborg Ø

Number of seats: 40

Deadline: 23 January

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.

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: Associate Professor Rasmus L. Olsen, Aalborg University, e-mail: rlo@es.aau.dk

Lecturers:

ECTS: 3

Time: 13. - 17. November 2017

Place:

Zip code: 9220

City: Aalborg

Number of seats: 30

Deadline: 23 October 2017

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 alternatives to follow the basic course in Scientific Computing using Python. Link to the other basic course: Scientific Computing Using Python - Basic 2

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

ECTS: 2.5

Time: 29-31 May 2017, 9-12 & 13-16 each day

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

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline: 8 May 2017

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: Scientific Computing Using Python - Basic 1

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 lectures: Associate Professor Thomas Arildsen, email: tha@es.aau.dk, Department of Electronic Systems

ECTS: 2.5

Time: 17-19 May 2017, 9-12 & 13-16 each day

Place: Niels Jernes Vej 12, Njv 12A/6-104 

Zip code: 9220

City: Aalborg Ø

Number of seats: 25

Deadline: 26 April 2017

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 - 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 others' 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 course covers the main area: High performance computing.

High performance computing:

  1. Profiling
    1. Memory profiling
    2. Time profiling (function based / line based)
  2. Performance optimization
    1. Numba (just in time compilation)
    2. Cython (compiled Python via C-extensions)
  3. Parallel computing
    1. Theoretical aspects (Amdahl's and Gustafson-Barsis' law)
    2. Parallel computing methodologies
    3. Distributed computing and shared memory computing
    4. Parallel computing in Python

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.

Lecturers: Associate Professor Thomas Arildsen, tha@es.aau.dk, Department of Electronic Systems

ECTS: 2

Time: 15-16 June 2017, 9-12 & 13-16 each day

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

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline: 14 June, 2017

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 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: Associate Professor Zheng-Hua Tan (zt@es.aau.dk)

Lecturers: Zheng-Hua Tan, Aalborg University, Denmark, zt@es.aau.dk, http://kom.aau.dk/~zt/

ECTS: 3

Time: 26 and 28 April + 1, 3 and 5 May 2017

Place: Frederiks Bajers Vej 7A, room Frb7A/4-106

Zip code: 9220

City: Aalborg

Number of seats: 50

Deadline: 5 April 2017

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.

  • General             Edit topic name         

    Welcome to the PhD course on "Artificial Intelligence: Foundations and Applications".

    The course is not limited to computer engineers but is suited for doctoral students from different fields, who can implement the learned methodologies into their research.

    Description:  

    This course will provide understanding on artificial intelligence and its applications on a variety of topics and research fields. First, we introduce the foundations of artificial intelligence in various disciplines. Then we will cover the concepts of Search, Logic, Probabilistic reasoning, Learning and Deep learning including examples of application on many research topics.

    Prerequisites:

    • Basic linear algebra,
    • Mathworks MATLAB.

    Learning objectives:

    • Solving problems using searching,
    • Knowledge and logic representation,
    • Probabilistic reasoning from uncertain knowledge,
    • Learning from statistics and observations,
    • Deep Learning.

    Key literature:

    • Artificial Intelligence A Modern Approach, Stuart Russell - Peter Norvig
    • Pattern Recognition and Machine Learning, Christopher Bishop
    • Introduction to Linear Algebra, Gilbert Strang

    Organizers and Lecturers:

    • Tsampikos Kounalakis, Postdoc, <tkoun@m-tech.aau.dk>
    • Lazaros Nalpantidis, Associate Professor, <lanalpa@m-tech.aau.dk>

    ECTS: 

    3 or 5 ECTS points depending on whether the participant will prepare and defend a scientific paper where he/she applies some of the covered topics on a problem of his/her interest.

    Time: 

    The course will span over 4 days in total, organized in 2 blocks:

    • 23 and 24 February 2017
    • 30 and 31 March 2017

    Place: Aalborg University Copenhagen

    Zip code: 2450

    City: Copenhagen SV

    Number of seats: 20

    Deadline: 2 February 2017

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.

Welcome to Advanced Energy System Analyses 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 5 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: Professor Henrik Lund, e-mail: Lund@plan.aau.dk

Lecturers:  Poul Alberg Østergaard, Henrik Lund, David Connolly & Brian Vad Mathiesen


ECTS: 3.0

Course fee: 750 DDK (100 EUR) for ph.d. 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/ESAotEPM2017


Time: 03 - 05 and 19 - 21 April 2017

Place:  Aalborg University, Skibbrogade 5, room Skb C1/12, 9000 Aalborg

Number of seats: 30

Deadline: 21 March 2017

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.


    Organizer: 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    

    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, Kathrine Tvorup Pajkes, Grants & Contracts

    ECTS: 1

    Time: 28 March 2017. From 9:00 to 15:30

    Place: Fibigerstræde 11, room 3, 9220 Aalborg Øst - see map of Fib 11

    City: 
    9220 Aalborg

    Number of seats: 60

    Deadline: 7 March 2017

    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.


Organizer: 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    

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, Kathrine Tvorup Pajkes, Grants & Contracts

ECTS: 1

Time: August 29, 2017. From 9:00-15:30


Place: 

Zip code:
 

City: 


Number of seats: 60

Deadline: August 8, 2017

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.


Organizer: 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    

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, Kathrine Tvorup Pajkes, Grants & Contracts

ECTS: 1

Time: November 30 2017

Place: 

Zip code:
 

City: 


Number of seats: 60

Deadline: November 9, 2017.

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.