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: D3
Elective for: C4
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 with computers is 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
Judgement and approach
For a passing grade the student must
Error analysis, numerical methods for systems of (non-) linear equations, the least squares method, polynomial interpolation, splines, Bezier curves, numerical integration, computation of eigenvalues, the Discrete Fourier transform.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: The final grade is based on a written examination and possibly on optional assignments.
In case there are optional assignments that may influence the grade, information about this will be given at the start of the course.
Any merit points on optional assignments are only valid till the end of the academic year, i.e. for the scheduled exam and the two following re-sit opportunities.
Students who do not hand in solutions to the assignments may still obtain the highest grade provided they do well enough at the examination.
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: Examination.
Credits: 6.0. Grading scale: TH - (U, 3, 4, 5).
Assumed prior knowledge:
FMAB20 Linear Algebra, FMAB65 Calculus in One Variable B1, FMAB70 Calculus in One Variable B2, FMAB30 Calculus in Several Variables, and experience of programming in Matlab or Pyhon/NumPy.
The number of participants is limited to: No
Kursen överlappar följande kurser:
FMN041
FMN050
FMN081
FMNF01
FMN011
FMNF10
FMNF15
Course coordinator: Anders Holst,
Studierektor@math.lth.se
Teacher: Andreas Langer,
Andreas.Langer@math.lth.se
Course administrator: Studerandeexpeditionen,
expedition@math.lth.se
Course homepage: https://canvas.education.lu.se/courses/20366