Aarhus University Seal / Aarhus Universitets segl

PhD courses

Graduate School, Arts offers a variety of courses for PhD students.

The course programme consists of the following:

  • Mandatory courses for PhD students enrolled at Graduate School, Arts:
    • "Introduction to PhD supervision for PhD students at Arts"
      For further information please see this page.
    • "Introduction to university teaching for PhD students"
      For further information please see this page.
    • "Research Integrity and Ethics"
      The Graduate School offers this course three times a year (twice in Danish and one in English). 
  • How to get published
    PhD students enrolled at Arts are given 1 ECTS for completing this course.  
  • Planning and controlling a PhD Project
  • Courses for PhD students at Aarhus University
    • Conflict Trends
      The PhD-level course “Conflict Trends” will be hosted digitally this year by PRIO on 27 September – 1 October 2021. See more information about the course and the application form her: https://www.peaceconflictresearch.org/Courses/Course/?x=1150 
      In brief the course is about the following: Is the world becoming more peaceful, or can we expect more conflict in the future? The impression we get from the media certainly is gloomy. But what does the numbers and facts tell us? This course will give an overview of conflict trends based on large conflict datasets on conflict related variables. It will provide a better understanding of the larger global trends in the world such as level and type of conflicts, the geography and demography of conflict, and protests and mobilization. In addition, we will explore the Colombian conflict through survey data.
      The deadline for applying is 25 June 2021.   
    • Workshop and integrated PhD Course: European universities in a shifting global context
      Programme for the combined PhD course and workshop entitled ‘European universities in a shifting global context’ on 28-30 June 2021. This is the third in the series for the project European Universities – Critical Futures and brings together senior academics and early stage researchers across Europe. It will cover changing patterns of internationalisation of higher education, current ways higher education is involved in European, US, Chinese and Indian strategies to position themselves in the world, the role of rankings in forming dominant world orders and, finally, alternative internationalisms.
      It is free and open to all academics and PhD students who are engaged with these topics.
      All participants can register here for Zoom link https://events.au.dk/europeanuni 
      PhD students, in addition, please also register here https://phdcourses.dk/Course/80724 
    • Online workshops for PhD students
      The following online workshops, organized jointly by the Research Support Office (Torben Juul Classen) and the Junior Researcher Associate, will be held on Thursday 10th and Friday 11th June 2021.
      The registration deadline for the workshops are extended to 31 May 2021.
      The workshops are highly relevant to the PhD students.
    • PhD workshop "Intersectional Imagination: Issues of Representation and Diversity in European Theatre"
      Monday 21 June 2021, 10.00-11.30.
      For further information please see this page.
    • Conference Presentations: Preparation and Delivery
      This course aims to provide PhD students with insight into the key characteristics of effective academic oral presentations, as well as with knowledge and tools to develop skills and confidence in communicating research-related material in English. 
      For further information please see this page.
    • Introduction to Research Writing in English
      Raise your awareness of the characteristics of research writing and improve your research writing skills with this hands-on PhD course.
      For further information please see this page.

  • Programme specific courses

  • Transferable skills courses

  

PhD students enrolled at Graduate School, Arts, should contact their main supervisor for the planning of course attendance. 

  

Besides 2 of the mandatory PhD courses the Centre for Educational Development (CED) offers a number of other PhD courses.


External PhD courses offered by other Danish institutions can be found in the national course database "PhD courses in Denmark".


PhD Courses at Graduate School, Arts

Fri 01 Sep
00:00-00:00 | online
Online Course in Web Archives and Web Archiving
Online course. Participation from work or from home, and at convenient time. Exact course starts are agreed between participants and course instructors, and the course may be offered more than once per year for different participants.
Wed 11 Aug
00:00-00:00 | Campus Aarhus
Netlab PHD Workshop in Web archiving
Please notice: This workshop will not be cancelled due to Corona virus precautions, but an online solution (video conference) may be applied with short notice if the situation in August demands it. Participants will be notified and get directions for how to participate if this becomes relevant. The NetLab PhD workshop in web archiving will include presentations on the necessity and challenges of preserving web content (which disappears rapidly, and must be preserved as a resource), of the underlying technologies in web content and it's preservation, and on how archived web content may differ from the online originals.
Mon 16 Aug
00:00-00:00 | Campus Aarhus
Research Design and Applied Data Analysis for Quantitative Social Sciences and Education Studies.
The course introduces applied quantitative data analyses with an emphasis on the connection between data analyses and research design. It will be a short introduction into different data analysis methods, including the following topics: Research Design in Quantitative Social Research Basics of research design and problems of descriptive and causal inference in the social sciences. Multivariate data analysis: Linear regression models and models for categorical data. This session introduces and refreshes the basics of multiple linear regression and regression models for categorical data such as binary, ordinal, multinomial or count data. Causal inference in the social sciences