Mathematics 2

lmat1102  2023-2024  Louvain-la-Neuve

Mathematics 2
4.00 credits
30.0 h + 30.0 h
Q2
Teacher(s)
Ponce Augusto;
Language
French
Main themes
  • Elements of matrix calculus (what is needed for the extrema of a function of several variables: determinant and eigenvalues).
  • Functions of two (or more) real variables (visualization, sections and contour lines, continuity and limits, partial and directional derivatives, gradient, tangent plane and differentiability, free extrema, multiple integrals).
  • Introduction to vector analysis (parametric curves and surfaces, line and surface integrals, divergence and rotational, Stokes type theorems).
Content
The course will cover differential calculus in two and three variables :
  •     graphical representations
  •     limit and continuity
  •     partial derivatives and tangent plane
  •     free and constrained optimization problems
  •     multiple integral and change of variables
  •     line integral and Green's theorem
Teaching methods
The learning activities consist of lectures and practical sessions.
The lectures aim at introducing the fundamental concepts and motivating them with examples.
The supervised exercises will allow students to become familiar with the techniques and methods of differential and integral calculus in several variables, through the solution of problems and exercises.
Evaluation methods
The acquisition of skills will be assessed in a final exam. The questions will ask students to select and apply methods from the course to solve exercises.

The evaluation will focus on :
  •     knowledge and understanding of the various mathematical objects and methods in the course,
  •     the accuracy of the calculations,
  •     the quality of the writing of the answers.
Online resources
Additional documents on Moodle.
Teaching materials
  • W. L. Briggs, L. Cochran, B. Gillett, Calculus: Early Transcendentals, Global Edition, 2e édition, Pearson, 2016. ISBN-10: 1292062312
Faculty or entity
SC


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

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

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