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| Semester | fall semester 2021 |
| Course frequency | Annual course |
| Lecturers | Sepideh Alassi (sepideh.alassi@unibas.ch, Assessor) |
| Content | This course will focus on using python as the main programming language for DH projects dealing with main topics that humanities scholars are mostly interested in. In a step by step approach with multiple examples you will learn how to use python for text analysis, natural language processing (NLP), data analysis and visualization, creating and processing XML and TEI/XML data, making HTTP requests to any API, and building graphical user interfaces (GUIs) and small applications. |
| Learning objectives | The course is an introduction into the use of Python for automating tasks which humanities scholars deal with. The main goal is to complete the basis knowledge that humanities students require for programming with Python efficiently utilizing the available powerful modules and packages. |
| Bibliography | - Python for Data Analysis, 2nd Edition, by Wes McKineey, O’Reilly:2017 - Python Crash Course, 2nd Edition, by Eric Matthes, No Starch Press:2019 - Automate the Boring Stuff with Python, 2nd Edition, by Al Sweigart, No Starch Press:2019 |
| Comments | The course will be taught in English. The course must be taken together with the depending exercise course (60831-2). The course material will be uploaded to the ADAM workspace of the course before every session, please download them and have them ready during the course. The zoom link to attend the course will be sent to you by email. Those of you who registered for the course late (after 27th of September), send me an email with a request for the zoom link. |
| Admission requirements | The course must be taken together with the depending exercise course (60831-2) The participants must have completed the first part of the lecture course that was offered last semester (60650-1 and 60831-1). The course will be consisted of hands on exercises therefore participants must have their laptops available during the course with Python3 and Pycharm IDE (Edu version) installed. Jupyter notebook will be used for teaching this course. Please install it before attending the course. To find instructions for installation of Jupyter Notebook, please see https://jupyter.org/install Installation is rather simple. If you use pip to install packages, simply run the following in your command line: `pip install notebook` If you use Anaconda to install Python packages, simply run the following in your command line: `conda install -c conda-forge notebook` To check your installation, start Jupter Notebook by running the following in your command line: `jupyter notebook` A local server will be started in your browser showing the Jupyter dashboard. |
| Course application | The participants must have completed the first part of the lecture course that was offered last semester (60650-1 and 60831-1). The course must be taken together with the depending exercise course (60831-2) |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Monday | 10.15-12.00 | - Online Präsenz - |
| Date | Time | Room |
|---|---|---|
| Monday 27.09.2021 | 10.15-12.00 | --, -- |
| Monday 04.10.2021 | 10.15-12.00 | --, -- |
| Monday 11.10.2021 | 10.15-12.00 | --, -- |
| Monday 18.10.2021 | 10.15-12.00 | --, -- |
| Monday 25.10.2021 | 10.15-12.00 | --, -- |
| Monday 01.11.2021 | 10.15-12.00 | --, -- |
| Monday 08.11.2021 | 10.15-12.00 | --, -- |
| Monday 15.11.2021 | 10.15-12.00 | --, -- |
| Monday 22.11.2021 | 10.15-12.00 | --, -- |
| Monday 29.11.2021 | 10.15-12.00 | --, -- |
| Monday 06.12.2021 | 10.15-12.00 | --, -- |
| Monday 13.12.2021 | 10.15-12.00 | --, -- |
| Modules |
Modul: Erweiterung Gesellschaftswissenschaften B.A. (Bachelor's degree subject: Political Science) Modul: Erweiterung Gesellschaftswissenschaften M.A. (Master's degree subject: Political Science) Modul: Erweiterung Methodenkenntnisse MA (Master's degree subject: Science of Religion) Modul: Humanities and Social Science Coding (Master's degree subject: Digital Humanities) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: Italian Language and Literature) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: French Language and Literature) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: English) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: Spanish Language and Literature) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: German Language and Literature) Modul: Interphilologie: Sprachwissenschaft BA (Bachelor's degree subject: Nordic Philology) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: Latin Philology) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: French Language and Literature) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: German Language and Literature) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: Slavic Studies) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: English) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: Spanish Language and Literature) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: Italian Language and Literature) Modul: Interphilologie: Sprachwissenschaft MA (Master's degree subject: Nordic Philology) |
| Assessment format | record of achievement |
| Assessment details | To pass the course, you should submit correct answer to all exercises. |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | one repetition, repetition counts |
| 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 |