SOW-MKI53
Academic Writing and Reviewing
Course infoSchedule
Course moduleSOW-MKI53
Credits (ECTS)3
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Contactperson for the course
prof. dr. J.M. McQueen
Other course modules lecturer
Coordinator
prof. dr. J.M. McQueen
Other course modules lecturer
Lecturer
dr. M. Sadakata
Other course modules lecturer
Examiner
dr. M. Sadakata
Other course modules lecturer
Academic year2018
Period
SEM1  (03/09/2018 to 03/02/2019)
Starting block
SEM1
Course mode
full-time
RemarksThis course is only available for students who started in 2017 or earlier.
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
At the end of the course students will
(1) have learned how to write better academic English and
(2) have learned to evaluate their own writing and that of others. 
Content
Students will be introduced to the art of academic writing. They will be introduced to the differences between and the challenges of writing different kinds of documents, including: shorter and longer research articles, grant proposals, CVs, reviews, and letters to the editor. At the end of the course students will (1) have learned how to write better academic English and (2) have learned to evaluate their own writing and that of others. 
 
This course consists of a plenary and a student-specific part. The plenary part consists of lectures with short writing assignments. It will cover guidelines on how to prepare, structure and write scientific articles. In addition, advice will be given on how to write reviews, letters of motivation, and grant/project proposals. The student-specific part of the course will consist of individual feedback on a writing sample: usually part of the student’s MSc thesis (but note that the thesis supervisor is responsible for the scientific content of the thesis; this course is concerned with writing skills only, and the final thesis will be evaluated separately). Writing samples will be reviewed by the other students following the course. Students will revise their sample on the basis of these reviews. They will then send in the rewritten sample with a “letter to the editor” explaining how they have dealt with the issues raised by their reviewers and then receive written feedback from the lecturers on all components of their assignments. The course will be graded as pass/fail. Note that this course is for second-year master students.
Levels
AI-MA

Test information
The final evaluation is the weighted average of assignments and report.

Prerequisites
At least a full year of prior master study in the field of cognitive science, artificial intelligence, or computer science. Students are strongly recommended to have their thesis project started.

Contact information
Dr. M.Sadakata; m.sadakata@donders.ru.nl

Required materials
To be announced
Other example papers will be provided.

Recommended materials
Articles
Bem, D. J. (2003). Writing the Empirical Journal Article
Articles
Clark H. H. Everyone can write better (and you are no exception)

Instructional modes
Assignment

General
Writing assignments and peer review

Lecture

General
Lectures

Tests
Peer review report
Test weight50
OpportunitiesBlock SEM1, Block SEM1

Revised report
Test weight50
OpportunitiesBlock SEM1, Block SEM1