SF1550 Numerical Methods, basic course 6.0 credits

Based on a mathematical model, simulate technical and scientific processes. The course addresses how to structure the problem, rewrite the problem in a form that is suitable for numerical treatment, select the appropriate numerical method, implement the method, visualize and present a solution, and estimate the reliability of the results.
The course deals with:

• numerical methods for linear systems of equations, non-linear systems of equations, optimization, interpolation, the least squares method, and integration with deterministic and probabilistic methods.
• basic ideas and concepts such as algorithm, computational cost, iteration, local linearization, interpolation, extrapolation, discretization, order of accuracy, convergence, complexity, condition, and stability.

An overall goal of the course is to provide the student with insight into how numerical methods, analysis, and programming techniques can be used to make reliable and efficient simulations of technical and scientific processes based on mathematical models.
After completing the course, the student should be able to

• given a mathematical model for a technical or scientific problem, identify and classify the mathematical subproblems that need to be solved, rewrite them in a form suitable for treatment with numerical methods and select appropriate numerical methods.
• describe key concepts and basic ideas used in the numerical methods included in the course and be able to use these concepts and ideas to describe advantages and limitations of the methods.
• describe, apply, implement, and evaluate the numerical methods included in the course.
• estimate the reliability of numerical results and investigate properties of numerical methods using analytical procedures included in the course.
• present, discuss and summarize problem statements, solution approaches, and results when solving problems.

Active participation in SF1625 Calculus in one variable and DD1331 Fundamentals of programming.

• TEN1 - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
• LAB1 - Laboratory work, 1.5 credits, grading scale: P, F
• LAB2 - Laboratory work, 1.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Anna-Karin Tornberg

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.