Numerical Analysis

5.8.2026 - 31.7.2027

5 cr

Face-to-faceOnline

Advanced studies

Core content:

Discretizing ordinary differential equations

Solving linear and nonlinear systems
Interpolating functions
Function approximations
Numerical integration
Error analysis

Complementary content:

Matlab and/or Python in problem solving
Visualizing solutions

Special content:

Numerical methods for partial differential equations, e.g., finite difference and finite element methods
Runge-Kutta and Leap-Frog methods for solving initial value problems
Methods for fining roots, e.g., Newton-Raphson method
Polynomial, spline and wavelet approximations
Interpolation methods such as Runge's method
Numerical quadratures, for example, Newton-Cotes -method, trapezoid and Simpson's formula
Least squares fitting methods

Contains

Check the institution’s website for the required studies.

No active implementations at present.

Additional information and registration

Price and registration period: Check on the university's website

Go to the institution's website(Opens in a new tab)

Additional information:

Fields

Engineering and technology

Scope

5 cr

Code

MATH.APP.460

This numerical analysis course focuses on combining mathematical theory and numerical techniques in computational sciences and technology. It teaches numerical discretization, approximation and solution methods for solving mathematical problems. The course has a variable content. After completing the course, the student will master the principles of numerical analysis for an entity which can cover, for example, methods for discretizing ordinary differential and partial differential equations, solving linear and nonlinear systems as well as integrating and approximating functions. MATLAB software on will be preferred on the course. Alternatively the student can also use Python. The literature will be specific per course implementation.

Organiser

Tampere University

Contact details

avoin.tau@tuni.fi

Information and features