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# SF1552 Numerical Methods, basic course 6.0 credits

This course gives an overview and basic skills in numerical methods for simulating technical and scientific processes based on mathematical models.

### Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

## Application

### For course offering

Autumn 2024 Start 28 Oct 2024 programme students

### Application code

52157

Headings with content from the Course syllabus SF1552 (Autumn 2024–) are denoted with an asterisk ( )

## Content and learning outcomes

### Course contents

Simulation of technical and scientific processes given a mathematical problem. 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, interpolation, the least squares method, optimization, integration, and differential equations

- basic ideas and concepts such as algorithm, computational cost, iteration, local linearization, interpolation, extrapolation, discretization, order of accuracy, convergence, complexity, condition and stability

### Intended learning outcomes

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 effective 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 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 metods.

- 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.

## Literature and preparations

### Specific prerequisites

Completed course SF1625 Calculus in one variable

Active participation in CK1310 Python Programming for Chemical Sciences

### Recommended prerequisites

No information inserted

### Equipment

No information inserted

### Literature

No information inserted

## Examination and completion

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

### Grading scale

A, B, C, D, E, FX, F

### Examination

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

### Opportunity to complete the requirements via supplementary examination

No information inserted

### Opportunity to raise an approved grade via renewed examination

No information inserted

### Examiner

No information inserted

### Ethical approach

• 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.

## Further information

### Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Technology

First cycle

### Add-on studies

No information inserted