Numerical Methods
7.5 ECTS creditsNumerical solution methods are discussed from a theoretical viewpoint in lectures and exercises, and are illustrated by basic examples. Supervised computer sessions give students an opportunity to implement the methods and investigate how more advanced engineering problems in different areas of technology can be solved.
Direct numerical solution methods for large systems of linear equations. Numerical solution of eigenvalue problems. Numerical solution of non-linear equations. Numerical integration. Linear and non-linear least squares methods. Numerical solution of ordinary differential equations.
Direct numerical solution methods for large systems of linear equations. Numerical solution of eigenvalue problems. Numerical solution of non-linear equations. Numerical integration. Linear and non-linear least squares methods. Numerical solution of ordinary differential equations.
Progressive specialisation:
G1F (has less than 60 credits in first‐cycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements:
Registered on Mathematics and Programming 30 ECTS credits, including either Foundation Course in Mathematics, Calculus and Geometry, and Linear Algebra, or Foundation Course in Mathematics, Calculus and Geometry, and Fundamental Concepts and Proofs in Mathematics, or the equivalent knowledge of calculus in one variable and matrix algebra.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Bachelor Programme in Physics (studied during year 3)
- Mathematics Programme (studied during year 2)
- Master of Science in Mechanical Engineering (studied during year 3)
- Master of Science in Engineering Physics (studied during year 3)