Back
| Semester | fall semester 2023 |
| Course frequency | Once only |
| Lecturers | Sepideh Alassi (sepideh.alassi@unibas.ch, Assessor) |
| Content | In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your custom functions, write scripts, and handle errors. Lastly, you’ll learn to use modules in the Python Standard Library and other third-party libraries. |
| Learning objectives | By the end of this course, students will know both fundamental programming concepts and the Python programming language. Students will be able to develop their own Python code to automatically solve complex real world problems. This course is dedicated to core Python skills that will give you a solid base and allow you to pursue any further direction: using Python in academic and research projects, in data science, or a career as a developer. |
| Bibliography | - Learning Python, 5th Edition, Mark Lutz, published by O'Reilly Media, Inc. 2013 - Introducing Python, 2nd Edition, Bill Lubanovic, published by O'Reilly Media, Inc. 2019. - Learn Python Programming - Third Edition, Fabrizio Romano, Heinrich Kruger, published by Packt Publishing, 2021. |
| Comments | The format of this course is learning by doing. Students will need to bring their own laptop to the course. |
| Admission requirements | The number of available places is limited, and students of digital humanities will be given priority to this course. |
| Course application | No prior programming knowledge is required. This course has a tutor who will assist with questions and assignments, the tutor sessions will be held on Wednesdays 13:00 to 14:00. It is highly recommended that you attend the tutor sessions. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Friday | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Date | Time | Room |
|---|---|---|
| Friday 29.09.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 06.10.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 13.10.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 20.10.2023 | 14.15-16.00 | Kollegienhaus, FÄLLT AUS |
| Friday 27.10.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 03.11.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 10.11.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 17.11.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 115 |
| Friday 24.11.2023 | 14.15-16.00 | Dies Academicus |
| Friday 01.12.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 08.12.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 15.12.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Friday 22.12.2023 | 14.15-16.00 | Kollegienhaus, Hörsaal 119 |
| Modules |
General Electives in Business and Economics: Additional Courses (Master's Studies: Business and Economics) General Electives in Business and Technology: Additional Courses (Master's Studies: Business and Technology) Modul: Forschungspraxis und Vertiefung (Master's degree program: Language and Communication) Modul: Humanities and Social Science Coding (Master's degree subject: Digital Humanities) Modul: Kulturtechnische Dimensionen (Master's degree program: Cultural Techniques) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) |
| Assessment format | continuous assessment |
| Assessment details | The final evaluation will be based on submitted solutions to the exercises. |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | no repetition |
| Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
| Offered by | Digital Humanities Lab |