lepl1101  2018-2019  Louvain-la-Neuve

5 credits
30.0 h + 30.0 h
Glineur François; Jungers Raphaël; Remacle Jean-François; SOMEBODY; Wertz Vincent coordinator;
Main themes
Linear algebra : linear equation systems, matrix calculus, linear applications, euclidean spaces, vector spaces on a field, linear sequences, quadratic forms. Modelling and solving of simple problems.

At the end of this learning unit, the student is able to :


Contribution of the course to the program objectives

Regarding the learning outcomes of the program of Bachelor in Engineering, this course contributes to the development and the acquisition of the following learning outcomes:

  • LO1.1, 1.2
  • LO 2.2, 2.3, 2.4, 2.6, 2.7
  • LO 3.1, 3.2, 3.3
  • LO 4.1, 4.4

Specific learning outcomes of the course

At the end of the course the students will be able to

  • Master the elementary notions of linear algebra ;
  • Apply the notion of euclidean space and orthogonal projection to solve approximation problems in Rn and other spaces;
  • Calculate vector spaces of a linear operator;
  • Diagonalize a linear space if possible;
  • Study the evoluation of a linear system and of a linear recurrence:
  • Determine the caracteristics of a quadratic form;
  • Understand the main mathematical proof techniques ;
  • Make a critical reading and analysis of a problem statement;
  • Find examples and counter-examples related to a mathematical statement;
  • Write short mathematical proofs with rigor;
  • Modelli of simple problems, and problem solving using the methods cited above.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
  • Systems of linear equations,
  • Matrix calculus,
  • Vector spaces,
  • Linear applications,
  • Euclidean spaces, orthogonal projection and approximation problems,
  • Linear operators, eigenvectors and diagonalization, Jordan form and matrix exponential
  • Adjoint operator, spectral theorem, quadratic forms, law of inertia,
  • Sequences and series, linear differential equations
Teaching methods
Lectures in auditorium, supervised exercise  sessions and problem based learning, possibly supplemented with writing assignments and online exercises.
Evaluation methods
Students will be evaluated with an individual written exam, based on the above-mentioned objectives. Results from continuous assessment may also be taken into account for the final grade. The exact modalities will be specified in class.
Online resources
  • G. Strang, Introduction to linear algebra, 5th edition
  • G. Strang, Introduction to linear algebra, 5th edition
G. Strang, Introduction to linear algebra, 5th edition, Cambridge University Press
Teaching materials
  • G. Strang, Introduction to linear algebra, 5th edition
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Bachelor in Engineering

Bachelor in Engineering : Architecture