Introduction to Scientific Computing F
Course, Bachelor's level, 1TD343
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 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
- 19 January 2026–22 March 2026
- Language of instruction
- Swedish
- Entry requirements
-
Participation in the courses Computer Programming I, Single Variable Calculus, Multi Variable Calculus and Linear Algebra.
- Application deadline
- 15 October 2025
- Application code
- UU-62018
Admitted or on the waiting list?
- Registration period
- 5 January 2026–25 January 2026
- Information on registration from the department
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.