Mathematics 1

lmat1101  2022-2023  Louvain-la-Neuve

Mathematics 1
4.00 credits
30.0 h + 20.0 h
Q1
Teacher(s)
Coyette Cécile (compensates Dos Santos Santana Forte Vaz Pedro); Dos Santos Santana Forte Vaz Pedro;
Language
French
Main themes
  • Recall of elementary functions (rational functions, roots, exponential and logarithm, trigonometric functions).
  • Functions of one real variable (continuity and limits, derivatives and extrema, integrals and primitives).
  • Vector calculus (vectors in R^2 and R^3 and their components, norm, scalar product and link with orthogonal projection, vector product, parallelism and orthogonality).
  • Complex numbers.
  • Introduction to differential equations (first order equations with separable variables, first and second order linear equations with constant coefficients).
Content
  • Vector calculus (vectors in R^2 and R^3 and their components, norm, scalar product and link with orthogonal projection, vector product, parallelism and orthogonality).
  • Recall of elementary functions (rational functions, roots, exponential and logarithm, trigonometric functions).
  • Functions of one real variable (continuity and limits, derivatives and extrema, integrals and primitives).
  • Introduction to differential equations (first order equations with separable variables, linear equations with constant coefficients of order one and two).
Teaching methods
Lecture and practice sessions
Evaluation methods
Written examination. The evaluation method may be adapted if the health situation changes.
Online resources
Course moodle page
Bibliography
Briggs, Cochran & Gillett, Calculus: Early Transcendentals, Global Edition, 2/e, ©2016 | Pearson | Paper; 1320 pp
Faculty or entity
SC


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

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor in Chemistry

Bachelor in Veterinary Medicine

Master [120] in Data Science : Statistic

Minor in Scientific Culture

Bachelor in Biology

Bachelor in Geography : General

Minor in Statistics, Actuarial Sciences and Data Sciences