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| Semester | fall semester 2024 |
| Course frequency | Every fall sem. |
| Lecturers |
Craig Hamilton (craig.hamilton@unibas.ch, Assessor)
Tanja Schindler (tanja.schindler@unibas.ch) |
| Content | This course aims to help master students in Computer Science improve their writing skills in English. We will 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: - 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 in Computer Science who must write about their scientific research in English. Students need a B2/C1 level of English to take the course. |
| 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 | Pharmaziemuseum, Grosser Hörsaal |
| Date | Time | Room |
|---|---|---|
| Wednesday 18.09.2024 | 10.15-12.00 | Kollegienhaus, Seminarraum 104 |
| Wednesday 25.09.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 02.10.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 09.10.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 16.10.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 23.10.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 30.10.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 06.11.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 13.11.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 20.11.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 27.11.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 04.12.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 11.12.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Wednesday 18.12.2024 | 10.15-12.00 | Pharmaziemuseum, Grosser Hörsaal |
| Modules |
Module: 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) Module: Methods of Machine Intelligence (Master's Studies: Computer Science) |
| Assessment format | continuous assessment |
| Assessment details | To pass the course, students must: - Attend all classes (two absences maximum, for any reason, in line with University of Basel rules) - 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 |