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| Semester | fall semester 2019 |
| Course frequency | Irregular |
| Lecturers | Moniek Kuijpers (moniek.kuijpers@unibas.ch, Assessor) |
| Content | In the past decades interest has grown in scientific approaches to aesthetic artefacts, may they be literary texts, visual artworks, films or even performances. This interest stems from a desire to investigate these aesthetic objects in a more rigorous, scientific way. The results of such investigations help us cultivate a deeper understanding of aesthetic phenomena and, perhaps more importantly, what they mean to individuals and societies. With scientific approaches to the study of art – and of literature in particular – come statistical analyses of data gathered using said scientific approaches. This course will give an introduction to scientific approaches to literature (i.e., production, reception and evaluation of literature) and will teach students to use statistics to answer empirical research questions in various areas of scientific studies of literature. The students will receive instructions on how to utilize the open-source software program R to run statistical code. |
| Learning objectives | Week 1: Introduction to Scientific Methods for the Humanities Week 2: Introduction to Statistics Week 3: Introduction to R Week 4: Data Collection in Experimental Studies Week 5: Data Collection in Big Data Research Week 6: Data Collection in Corpus Stylistics Week 7: Empirical Research Questions Week 8: Break > Students will collect their own data Week 9: Introduction to Descriptive Statistics Week 10: Graphic Visualization of Descriptive Statistics Week 11: Inferential Statistics Week 12: Communicating Statistical Results Week 13: Course Conclusion: Poster Session |
| Bibliography | The reading list for this course will be made available 2 to 3 weeks before class. |
| Comments | In between seminars you can make an appointment to come in during office hours (Monday between 14:00 and 16:00 or Thursday between 11:00 and 13:00) to discuss your research project or any concerns or questions you might have. |
| Admission requirements | Be advised that the course will be in English and that you will be asked to discuss, present and write in English. Also, be advised that your English does not have to be perfect. For this course, you will be required to bring your own laptop with the open source software R and R Studio installed on it. If you do not own a laptop or are experiencing problems downloading the required software, please contact me before the start of the course (24.09). |
| Course application | Belegen |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Creating, Analyzing and Visualizing of Data (Master's degree subject: Digital Humanities) Modul: Forschungspraxis und Vertiefung (Master's degree program: Language and Communication) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) |
| Assessment format | continuous assessment |
| Assessment details | Studens will be assessed on three different aspects: their participation in class (assessed through mini assignments) (30 %); the conception and completion of a small research project that includes data collection (30 %); and the communication of the results of their research project via a poster presentation (40 %). |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
| Offered by | Digital Humanities Lab |