Introduction to Scientific Computing
Course, Bachelor's level, 1TD342
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
Participation in a course in programming in Python (for example Computer Programming I), or the course can be taken in parallel. Participation in one of the courses Single Variable Calculus, Single Variable Calculus M, Geometry and Calculus and Calculus for Engineers.
- Application deadline
- 15 April 2026
- Application code
- UU-12037
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
Participation in a course in programming in Python (for example Computer Programming I), or the course can be taken in parallel. Participation in one of the courses Single Variable Calculus, Single Variable Calculus M, Geometry and Calculus and Calculus for Engineers.
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, Swedish Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–1 November 2026
- Language of instruction
- Swedish
- Entry requirements
-
Participation in a course in programming in Python (for example Computer Programming I), or the course can be taken in parallel. Participation in one of the courses Single Variable Calculus, Single Variable Calculus M, Geometry and Calculus and Calculus for Engineers.
- Application deadline
- 15 April 2026
- Application code
- UU-12009
Admitted or on the waiting list?
- Registration period
- 26 July 2026–6 September 2026
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, Swedish Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 January 2027–21 March 2027
- Language of instruction
- Swedish
- Entry requirements
-
Participation in a course in programming in Python (for example Computer Programming I), or the course can be taken in parallel. Participation in one of the courses Single Variable Calculus, Single Variable Calculus M, Geometry and Calculus and Calculus for Engineers.
- Application deadline
- 15 October 2026
- Application code
- UU-62009
Admitted or on the waiting list?
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, Swedish Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 22 March 2027–6 June 2027
- Language of instruction
- Swedish
- Entry requirements
-
Participation in a course in programming in Python (for example Computer Programming I), or the course can be taken in parallel. Participation in one of the courses Single Variable Calculus, Single Variable Calculus M, Geometry and Calculus and Calculus for Engineers.
- Application deadline
- 15 October 2026
- Application code
- UU-62037
Admitted or on the waiting list?
About the course
Today, a common way to study and analyse different processes in natural sciences, engineering, and also in human sciences, is to use computers, simulations and mathematical and statistical models. Simulations on the computer screen work as a complement to, and sometimes as a replacement to experiments and theory. Computers and mathematical/statistical models are used to describe reality and to produce new products that can be more energy efficient and more friendly to the environment. Models and simulations are also used to study the future, for example, climate change, and can therefore affect political decisions. When computations take place in computers, the methods that are used are very different from the hand calculation methods you learned in school. In scientific computing, we study these computational methods.
In this course, you learn about the principles and the ideas behind these computational methods, but also how to think when you solve problems with computers and programming. Basic concepts, ideas, and methods in scientific computing are covered in the course. The main themes in the course are numeric solutions to integrals, non-linear equations and differential equations in one variable.