Numerical Methods
Course code
MLM6246.DT
old course code
Course title in Estonian
Arvutusmeetodid
Course title in English
Numerical Methods
ECTS credits
4.0
Assessment form
Examination
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Core subject of the bachelor level mathematics programme. To develop basic skills in using the main numerical algorithms on computers.
Brief description of the course
Exact mathematics versus numerical methods. Solution of equations by iteration. Interpolation and splines. Orthogonal polynomials and their applications. The method of least squares and its applications. Numerical integration and differentiation. Optimisation methods. Numerical methods for differential equations.
Learning outcomes in the course
Upon completing the course the student:
- can demonstrate understanding of common numerical methods and how they are used to obtain approximate solutions to otherwise intractable mathematical problems;
- apply numerical methods to obtain approximate solutions to mathematical problems
- can derive numerical methods for various mathematical operations and tasks, such as interpolation, differentiation, integration, the solution of linear and nonlinear equations, and the solution of differential equations;
- analyses and evaluate the accuracy of common numerical methods. Implement numerical methods in Mathematica
- can demonstrate understanding of common numerical methods and how they are used to obtain approximate solutions to otherwise intractable mathematical problems;
- apply numerical methods to obtain approximate solutions to mathematical problems
- can derive numerical methods for various mathematical operations and tasks, such as interpolation, differentiation, integration, the solution of linear and nonlinear equations, and the solution of differential equations;
- analyses and evaluate the accuracy of common numerical methods. Implement numerical methods in Mathematica
Teacher
Tõnu Tõnso
Prerequisite course 1
Prerequisite course 2
Study programmes containing that course
Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)