Introduction to Programming in Python and R for Bioscience
Course, Bachelor's level, 3FB221
Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 30 October 2023–28 November 2023
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits in biomedicine, pharmaceutical science, natural science and/or technology.
- Selection
-
Higher education credits (maximum 165 credits)
- 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
- 17 April 2023
- Application code
- UU-39214
Admitted or on the waiting list?
- Registration period
- 22 October 2023–29 October 2023
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–3 December 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits in biomedicine, pharmaceutical science, natural science and/or technology.
- Selection
-
Higher education credits (maximum 165 credits)
- 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
- 15 April 2024
- Application code
- UU-39214
Admitted or on the waiting list?
About the course
The course deals with two programming languages: Python and R. Both languages are used for data management, statistical summaries and graphical display of data. The course handles basic data management with Python and basic data management, statistical summaries and graphical display of data with R. The course also deals with basic principles in programming.