Introduction to Computational Social Science
Course, Bachelor's level, 1DL007
Spring 2024 Spring 2024, Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- English
- Entry requirements
-
General entry requirements
- Selection
-
Final school grades (66%) - Swedish Scholastic Aptitude Test (34%)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 16,250
- Total tuition fee: SEK 16,250
- Application deadline
- 16 October 2023
- Application code
- UU-61022
Admitted or on the waiting list?
- Registration period
- 15 December 2023–22 January 2024
- Information on registration from the department
Spring 2024 Spring 2024, Uppsala, 50%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- English
- Entry requirements
-
General entry requirements
Admitted or on the waiting list?
- Registration period
- 15 December 2023–22 January 2024
- Information on registration from the department
About the course
The course introduces computational approaches to model human behaviour and social phenomena. Core concepts in computational social science are covered, such as observational studies (what types of data exist, possible biases and how to use data for modelling), basic concepts and techniques for running experiments (asking vs. observing, natural experiments, simulations, validity and generalisation) and discuss key issues such as ethical considerations.
The course has both a theoretical and a practical perspective, where you learn basic principles and also how to apply them in practice in three main areas:
- social network analysis
- text analysis
- agent-based modelling and simulation.
Reading list
No reading list found.