Scientific Computing for Data Analysis
Course, Bachelor's level, 1TD352
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- English
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
- Selection
-
Higher education credits in science and engineering (maximum 240 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 10,833
- Total tuition fee: SEK 10,833
- Application deadline
- 17 April 2023
- Application code
- UU-12032
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- English
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
- Selection
-
Higher education credits in science and engineering (maximum 240 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 10,833
- Total tuition fee: SEK 10,833
- Application deadline
- 17 April 2023
- Application code
- UU-12042
Admitted or on the waiting list?
- Registration period
- 17 October 2023–7 November 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
Admitted or on the waiting list?
- Registration period
- 17 October 2023–7 November 2023
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
- Selection
-
Higher education credits in science and engineering (maximum 240 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 10,833
- Total tuition fee: SEK 10,833
- Application deadline
- 16 October 2023
- Application code
- UU-62032
Admitted or on the waiting list?
- Registration period
- 15 December 2023–22 January 2024
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
Admitted or on the waiting list?
- Registration period
- 15 December 2023–22 January 2024
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 March 2024–2 June 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
- Selection
-
Higher education credits in science and engineering (maximum 240 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 10,833
- Total tuition fee: SEK 10,833
- Application deadline
- 16 October 2023
- Application code
- UU-62042
Admitted or on the waiting list?
- Registration period
- 4 March 2024–25 March 2024
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 March 2024–2 June 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
60 credits including a programming course in Python (eg Computer programming I) and Algebra and Geometry/Linear Algebra I. Participation in one of the courses Introduction to Scientific Computing and Scientific Computing I. Participation in Probability and Statistics. Participation in Linear Algebra II/Linear Algebra for Data Analysis or the course can be taken in parallel.
Admitted or on the waiting list?
- Registration period
- 4 March 2024–25 March 2024
- Information on registration.
About the course
This course focuses on handling large amounts of data and is divided into three different blocks. The first block deals with stochastic simulations, the second with regression analysis and least squares methods and the third with eigenvalue problems, singular value decomposition and principal component analysis. In the field of data analysis and machine learning, many algorithms and applications are based on the methods covered in this course. We study the computational methods used when working practically with data analysis of large amounts of data.