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55015-01 - Seminar: Scientific Writing and Science Communication (6 CP)

Semester spring semester 2025
Course frequency Every spring sem.
Lecturers Craig Hamilton (craig.hamilton@unibas.ch, Assessor)
Content Students will learn how to write effective papers in their field. Students will work on regular writing tasks and receive input from both the lecturer and from peers in class as well. This is a hands-on course, so it is important to have a laptop computer all the time for classroom writing tasks.
Learning objectives Students will learn how to write about their research in effective ways.
Bibliography Some PDFs will be provided by the lecturer. We will also use Writing Science in Plain English by Anne Greene (University of Chicago Press, 2013). For students who did not take the Scientific Writing MSc seminar at the University of Basel, then Writing for Computer Science by Justin Zobel (Springer, 2014, 3rd edition) is highly recommended reading as well.
Comments All lectures, readings, classes, and tasks are in English. Students should already have B2 level English or higher to get the most out of the course. Students are also expected to attend all classes and do all tasks (being absent one day is the maximum allowed).

 

Admission requirements Only PhD students in the University of Basel Data Analytics PhD Program.
Course application This scientific writing course is open to PhD students in the PhD Program Data Science of the University of Basel.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
unregelmässig See individual dates
Comments June 4, 11, 18, 25

Dates

Date Time Room
Wednesday 04.06.2025 08.15-17.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 11.06.2025 08.15-17.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 18.06.2025 08.15-17.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 25.06.2025 08.15-17.00 Spiegelgasse 1, Seminarraum 00.003
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Assessment format continuous assessment
Assessment details The final result (pass/fail) depends on the assignments students do in the course.
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

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