Introduction to Scientific Computing

Education facts

Code: 1TD342

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.

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Introduction to Scientific Computing

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 33 %