Function, graph of a function. Elementary functions, the unit circle, trigonometric formulas and equations, exponential and logarithm functions, power laws, logarithm laws. Limits, standard limits, continuity. Derivative, rules of differentiation and applications: extreme value problems, graphing, inequalities. Taylor's formula with error estimation. Numerical solutions of nonlinear equations with the fixed point method and Newton's method. Linear differential equations with constant coefficients and their applications. Numerical solutions of linear differential equations using Euler's method. Riemann integral, primitive function, substitution, integration by parts, partial fractions, geometric and other applications, generalized integrals. Numerical computation of integrals with the trapezoid rule and Simpson's rule. Something about series. Problem solving by breaking down a problem into parts. The use of mathematical software to solve engineering and mathematical problems, conduct numerical experimentation and present solutions. Basic concepts and ideas in numerical methods: algorithms, computational cost, local linearization, iteration, discretization, convergence, stability.
SF1668 Mathematical and Numerical Analysis I 10.0 credits

Information per 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.
Information for Autumn 2025 Start 25 Aug 2025 programme students
- Course location
KTH Campus
- Duration
- 25 Aug 2025 - 12 Jan 2026
- Periods
- P1 (6.0 hp), P2 (4.0 hp)
- Pace of study
33%
- Application code
50985
- Form of study
Normal Daytime
- Language of instruction
Swedish
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
CFATE1
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus SF1668 (Autumn 2019–)Content and learning outcomes
Course contents
Intended learning outcomes
After completing the course a student should be able to
- use concepts, theorems and methods to solve, and present the solution of, problems in those parts of mathematical and numerical analysis described by the main contents of the course;
- use MatLab to solve problems in those parts of numerical analysis described by the main contents of the course; and
- read and understand mathematical text;
in order to
- develop a good understanding for basic mathematical concepts in one-variable calculus and be able to use these concepts for mathematical modeling of engineering and scientific problems; and
- develop skills to illustrate central concepts with a computer, solve applied problems with MatLab and visualize and present results in a clear manner.
Literature and preparations
Specific prerequisites
Basic requirements.
Literature
Announced no later than 4 weeks before the start of the course on the course web page.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Lab Assignments, 2.0 credits, grading scale: P, F
- LAB2 - Lab Assignments, 2.0 credits, grading scale: P, F
- TEN1 - Examination, 6.0 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.
The examiner decides, in consultation with KTHs Coordinator of students with disabilities (Funka), about any customized examination for students with documented, lasting disability.The examiner may allow another form of examination for re-examination of individual students.
Examiner
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.