Mathematics 2
[ LFSAB1102 ]
9.0 crédits ECTS
45.0 h + 45.0 h
2q
| Teacher(s) |
Vitale Enrico (coordinator) ;
Glineur François ;
Keunings Roland ;
|
| Language |
French
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
Functions of several real variables ; vector analysis ; linear algebra ;
linear differential equations with constant coefficients ; introduction to
data analysis and reasoning in a context of random uncertainty.
Study and handling of the above-mentioned concepts for their use in later
courses. Training in the domains of rigor and abstraction by studying
important proofs in calculus or algebra, and by constructing proofs
featuring interaction between several different concepts or notions.
Resolution of problems or exercises requiring the use of several
mathematical tools.
|
| Aims |
After completing this course, students will be able to:
Handle functions of several real variables.
Master advanced notions in linear algebra.
Conduct mathematical reasoning and write short proofs in a rigorous manner.
Understand and use different proof techniques.
Deal with problems, exercises and proofs for which not all data is provided
explicitly.
Interpret a problem, exercise or statement from various points of view
(e.g. algebraic point of view or geometric point of view).
Model mathematical situations involving random elements.
Solve exercises and understand results whose difficulty warrants formal
definitions and advanced theorems.
Approach theories whose formalism exceeds the framework of intuitive
examples and which require abstraction.
|
| Content |
Functions of several real variables: surfaces, level curves ; limit and
continuity ; directional derivatives, differentiability, tangent plane,
Jacobian ; derivatives of composite functions ; higher order derivatives ;
implicit functions ; extremums ; multiple integrals.
Vector analysis: gradient, divergence, curl ; line and surface integrals ;
integral theorems (Green's theorem, Stokes' theorem, divergence theorem).
Linear algebra: Euclidean spaces ; eigenvalues ; quadratic forms and
geometrical interpretation ; linear differential equations with constant
coefficients ; linear regression and interpretation.
Methods used will favor the students' active learning. The actual
implementation details of the students' active participation in their
training are left to
the course holders, while respecting the Faculty's teaching orientations.
|
| Other information |
none
|
Cycle et année
d'étude |
> Bachelor in Engineering : Architecture
> Bachelor in Engineering
> Preparatory year for Master in Actuarial Science
|
Faculty or entity
in charge |
> BTCI
|
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|
