Course syllabus
Linjär algebra med numeriska tillämpningar
Linear Algebra with Numerical Applications
FMAA21, 7,5 credits, G1 (First Cycle)
Valid for: 2022/23
Faculty: Faculty of Engineering, LTH
Decided by: PLED F/Pi
Date of Decision: 2022-04-20
General Information
Main field: Technology.
Compulsory for: C1
Language of instruction: The course will be given in Swedish
Aim
The aim of the course is to give a basic introduction to linear
algebra. A further aim is to give the student a basic ability to
use Python to solve common linear algebra problems.
Particular emphasis is put on the role which linear algebra
plays in applications in different areas of technology, in order to
give the future engineer a good foundation for further studies in
mathematics as well as other subjects. The aim is furthermore to
develop the students' ability to solve problems and to
assimilate mathematical text.
Learning outcomes
Knowledge and understanding
For a passing grade the student must
- with confidence be able to solve linear systems of equations,
with or without computer, and be able to demonstrate an ability
to geometrically interpret the solutions of such systems.
- be able to represent, handle and compute with - with and
without computer - basic geometrical objects in three dimensions,
such as points, vectors, lines and planes.
- be able to show a general knowledge of the matrix concept and
of its coupling to the concept of a linear transformation, and be
able to carry out elementary matrix operations and to solve matrix
equations, with and without computer.
- be able to give an overview of and illustrate mathematical
concepts in linear algebra that are used to construct and study
mathematical models in applications.
- be able to explain the contents of some central definitions,
theorems and proofs.
- be able to account for the method of least squares, and be able
to implement it in Python for concrete problems.
Competences and skills
For a passing grade the student must
- be able to demonstrate a good ability to carry out algebraic
calculations within in the framework of the course.
- in connection with problem solving, be able to demonstrate an
ability to independently choose and use mathematical methods
within linear algebra.
- in connection with problem solving, be able to demonstrate an
ability to integrate concepts from the different parts of the
course.
- be able to demonstrate an ability to explain mathematical
reasoning in a structured and logically clear way.
- be able to graphically illustrate sets of points in the plane
using a computer, and to adapt curves to these.
Contents
- Systems of linear equations.
- Vectors. Bases and coordinate systems. Equations for lines and
planes in space. Scalar product with applications. Vector product
with applications.
- Matrices. Rank. Linear transformations. Determinants.
Eigenvalues and eigenvectors. The method of least squares. Linear
spaces and subspaces.
- Numpy (in Python) as a tool for linear algebra.
Examination details
Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam on Linear Algebra. Oral examination on the computer experiments. The final grade is the grade obtained in the 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.
Parts
Code: 0121. Name: Linear Algebra.
Credits: 6. Grading scale: TH. Assessment: Written exam. Further information: This is the same exam as for FMA420.
Code: 0221. Name: Numerical Applications.
Credits: 1,5. Grading scale: UG. Assessment: Oral exam based on the computer experiments during the course.
Admission
Assumed prior knowledge: Basic knowledge in Python - the ability to code and execute simple programs.
The number of participants is limited to: No
The course overlaps following course/s: FMA420, FMA421, FMA656, FMAB20, FMAA55, FMAA20
Reading list
- Månsson, J & Nordbeck, P: Linjär algebra. Studentlitteratur, 2019, ISBN: 978-91-44-12740-8.
- Månsson, J & Nordbeck, P: Övningar i Linjär algebra. Studentlitteratur, 2019, ISBN: 978-91-44-13355-3.
- Tutorial for the computer experiments will be provided by the department.
Contact and other information
Course coordinator: Anders Holst, studierektor@math.lth.se
Course administrator: Studerandeexpeditionen, expedition@math.lth.se
Course homepage: http://www.maths.lth.se/course/linalgmpython/