Writing Good Scientific Papers
PhD Course Place
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2100 Copenhagen S Organizers
Paolo Burelli Lecturer
Bridget Hallam Date and time of the course
26/04/2010, 3:00 pm - 4:30 pm
03/05/2010, 9:00 am - 4:30 pm
1 sessions of 1.5 hours and 1 full day session. Class room at ITU Course description
This course aims to improve the chance of your papers getting accepted; and
to take people through the paper review process. The wider goal is to improve
the quality of paper-writing in Englishbr/>
A partly-written paper, enough results!
This means that the course is not so suitable for new PhD students but better
for those who already have work worth submitting to a conference. Program
Day 1: Lecture on the characteristics of a good paper and how to write one.
Including how to find relevant papers to cite.
Homework 1: Students rework their paper based on the information given in
lecture 1 and prepare 20-min presentations (15 mins + 5 mins for questions
about the work) based on their paper.
Day 2: Presentation day and lecture on publishing papers and on the reviewing
process, including how to choose where to publish and how to respond to
Homework 2: Students finish their papers according to the lectures on day 2
and submit them to Bridget. Bridget distributes the papers.
Homework 3: Students review two papers and submit the reviews to the paper
authors and to Bridget.
Homework 4: Students edit their papers according to the reviews and send the
revised paper to a) Bridget and b) a suitable reviewer that they have found.
Homework 5 (2/3 weeks later): Students edit their paper according to the
professional review they receive.
Final deadline: Students hand in their revised paper and a covering letter.
assessment details. Credits
5 ECTS Exam
In order to pass this course, you have to pass each element of it. The elements
are listed above.
Note that most of the deadlines are extremely hard, in that you need to pass
an element before you can move on to the next element, and the opportunity
to tackle an element only exists once. Amount of hours the student is expected to use on the course
Participation: 9.0 hours
Preparation: 40.0 hours Participants
The course is relevant for any PhD student at the IT University, the maximum
number of participants is 12