Advanced Numerical Methods
Course, Master's level, 1TD050
Autumn 2023 Autumn 2023, Uppsala, 67%, On-campus, English
- Location
- Uppsala
- Pace of study
- 67%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 45 credits in mathematics, where linear algebra, vector calculus, transform theory (Fourier analysis) must be covered. Scientific Computing III or Scientific computing for Partial Differential Equations. Applied Finite Element Methods or Finite Element Methods. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- 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.
- First tuition fee instalment: SEK 24,167
- Total tuition fee: SEK 24,167
- Application deadline
- 17 April 2023
- Application code
- UU-12001
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration from the department
Autumn 2023 Autumn 2023, Uppsala, 67%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 67%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 45 credits in mathematics, where linear algebra, vector calculus, transform theory (Fourier analysis) must be covered. Scientific Computing III or Scientific computing for Partial Differential Equations. Applied Finite Element Methods or Finite Element Methods. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 67%, On-campus, English
- Location
- Uppsala
- Pace of study
- 67%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–3 November 2024
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 45 credits in mathematics, where linear algebra, vector calculus, transform theory (Fourier analysis) must be covered. Scientific Computing III or Scientific computing for Partial Differential Equations. Applied Finite Element Methods or Finite Element Methods. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- 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.
- First tuition fee instalment: SEK 24,167
- Total tuition fee: SEK 24,167
- Application deadline
- 15 April 2024
- Application code
- UU-12001
Admitted or on the waiting list?
- Registration period
- 26 July 2024–9 September 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 67%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 67%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–3 November 2024
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 45 credits in mathematics, where linear algebra, vector calculus, transform theory (Fourier analysis) must be covered. Scientific Computing III or Scientific computing for Partial Differential Equations. Applied Finite Element Methods or Finite Element Methods. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 26 July 2024–9 September 2024
- Information on registration from the department
About the course
When a numerical method is used for solving problems in application areas, unexpected phenomena might arise. There might be non-physical oscillations in the solution or the execution time might be very high. When such things happen an analysis of the numerical method is required. The analysis has two goals, to understand for what problems and what choices of parameters the method works, and to choose the best method out of a number of possible ones for a specific problem.
One half of the course focuses on so-called difference methods for partial differential equations, and the other half on finite element methods. The central concepts of consistency, convergence and stability are covered in detail and the methods are compared with respect to execution time.