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: C3, D2
Elective for: B4, BME4, K4, L4-gi, M4, R4, W4
Language of instruction: The course will be given in Swedish
The aim of the course is to treat some mathematical concepts and methods, above the basic level, that are important for further studies within e.g. machine learning, signal processing, control theory, electrical engineering and for further professional activities.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Linear systems: Mathematical models of linear, time invariant systems. Transfer function. Step response and impulse response. The frequency function.
The Laplace transform: Step and impulse functions. Computational rules for the two-sided Laplace transform. Inverse transforms, in particular of rational functions. Use of transform tables. Convolution.
Matrix algebra: Eigenvalues and eigenvectors. Diagonalization, in particular of symmetric matrices. Quadratic forms, diagonalization and classification. Systems of differential equations: solution by diagonalization, solution using exponential matrix.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: Written test. Computer sessions.
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: 0109. Name: Applied Mathematics.
Credits: 5.0. Grading scale: TH - (U, 3, 4, 5).
Assessment: Written test comprising theory and problems.
The module includes: See course contents.
Code: 0209. Name: Computer Work.
Credits: 0.0. Grading scale: UG - (U, G).
Assessment: 1. Use of computer algebra systems to perform calculations common in the mathematical analysis of linear systems. 2. With the aid of Matlab programs, the meaning of important concepts within systems theory is illustrated.
Admission requirements:
Assumed prior knowledge: Basic university courses in calculus and linear algebra.
Course coordinator: Studierektor Anders Holst,
Studierektor@math.lth.se
Teacher: Victor Ufnarovski,
ufn@maths.lth.se
Course administrator: Studerandeexpeditionen,
expedition@math.lth.se
Course homepage: https://canvas.education.lu.se/courses/20587