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Semester | fall semester 2022 |
Course frequency | Every fall sem. |
Lecturers |
Craig Hamilton (craig.hamilton@unibas.ch, Assessor)
Tianlin Liu (t.liu@unibas.ch) |
Content | This course aims to help graduate students improve their writing skills in English. Communicating effectively in English is an essential skill in every science. This course is especially useful to young scientists who want to learn how to communicate clearly with a wide range of audiences. We will cover several genres in this course (e.g. thesis/dissertation, scientific paper, and poster). We will also combine analysis with production to help you improve your scientific communication skills. Topics we focus on in this course include organization, presentation, and correct English style. |
Learning objectives | Students who complete the course will improve their understanding of: - Various genres used in scientific or professional communication - The process of creating high quality texts - Writing clearly in English |
Bibliography | Writing for Computer Science, 3rd Edition, by Justin Zobel (2014) Other materials will be provided by the teachers. |
Weblink | Course website |
Admission requirements | MA, MSc students who must write about their scientific research in English. B2/C1 level of English required. |
Course application | Registration is limited only to Computer Science students (MA, MSc). |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
---|---|---|---|
wöchentlich | Wednesday | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Date | Time | Room |
---|---|---|
Wednesday 21.09.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 28.09.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 05.10.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 12.10.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 19.10.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 26.10.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 02.11.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 09.11.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 16.11.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 23.11.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 30.11.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 07.12.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 14.12.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Wednesday 21.12.2022 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Modules |
Modul: Computer Science Project (Master's degree subject: Computer Science) Module: Electives in Data Science (Master's Studies: Data Science) Module: Methods of Distributed Systems (Master's Studies: Computer Science) (Pflicht) Module: Methods of Machine Intelligence (Master's Studies: Computer Science) (Pflicht) |
Assessment format | continuous assessment |
Assessment details | To pass the course, students must: - Attend all classes (two absences maximum, for any reason) - Do all homework - Complete all assignments - Actively take part in class activities |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | no repeat examination |
Scale | 1-6 0,5 |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
Offered by | Fachbereich Informatik |