Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED F/Pi
Date of Decision: 2024-04-15
Effective: 2024-05-08
Main field: Technology
Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Mandatory for: E3
Elective mandatory for: I3
Elective for: BME4, M4, N4, R4
Language of instruction: The course will be given in English
The aim of the course is to teach basic computational methods for solving simple and common mathematical problems using computers and numerical software. This includes the construction, application and analysis of basic computational algorithms. Problem solving using computers forms a central part of the course.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Software for scientific computing, error analysis, computer arithmetic, condition number, systems of linear equations, the method of least squares, calculation of eigenvalues, solution of nonlinear equations using fixed point or Newton iterations, interpolation, ordinary differential equations, basic signal processing using FFT.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: Written exam.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Modules
Code: 0117. Name: Numerical Analysis.
Credits: 6.0. Grading scale: TH - (U, 3, 4, 5).
Assumed prior knowledge:
Linear Algebra, Calculus in One Variable, Calculus in Several Variables, and experience of programming in MATLAB or Python/NumPy.
The number of participants is limited to: No
Kursen överlappar följande kurser:
FMNF05
FMN050
FMN011
FMN041
FMN081
FMN130
FMNF01
FMNN10
Teacher: Andreas Langer,
Andreas.Langer@math.lth.se
Director of studies: Studierektor Anders Holst,
Studierektor@math.lth.se
Course administrator: Studerandeexpeditionen,
expedition@math.lth.se
Course homepage: https://canvas.education.lu.se/courses/20368