Inhalt

[ 290MAFSMA2U26 ] UE (*)Exercises for Mathematics in Chemistry II

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS B1 - Bachelor 1. Jahr Mathematik Markus Passenbrunner 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Chemistry and Chemical Technology 2026W
Lernergebnisse
Kompetenzen
(*)Students can extend univariate mathematical principles to multivariate systems, enabling them to analyze higher-dimensional vector spaces, matrices, and multi-variable functions rigorously. They determine the convergence and evaluate the limit of numerical series, formulate multi-variable models, and implement both exact algebraic and numerical approximation methods to solve complex engineering and scientific problems.
Fertigkeiten Kenntnisse
(*)
  • Analyze the convergence and absolute convergence of infinite series, power series, and Fourier expansions using structural convergence tests. (k1, k2, k3)
  • Determine partial derivatives, gradients, Jacobian matrices, and Hessian matrices for scalar and vector fields of several variables. (k1, k2, k3)
  • Explain structural algebraic and geometric concepts including vector spaces, linear independence, bases, norms, and inner or cross products. (k1, k2, k3)
  • Evaluate the unique local solvability of non-linear multi-variable equation systems using the implicit function theorem. (k2, k3, k4)
  • Calculate determinants, eigenvalues, eigenvectors, and integrals over geometric regions using coordinate transformations. (k2, k3, k4)
  • Apply Gaussian elimination for linear systems and linear regression techniques to analyze noisy measurement data using mean-square error minimization. (k3, k4, k5)
  • Solve simple differential equations. (k2, k3, k4)
(*)
  • Definitions of infinite series, partial sums, vector spaces, standard bases, regular or singular matrices, partial or Fréchet differentiability, and smooth curves.
  • Theorems including the Leibniz criterion, Cauchy's condensation test, Taylor's series theorem, Fubini's theorem, the implicit function theorem, and Schwarz's theorem.
  • Formulas for geometric series sums, Taylor series expansions of elementary functions, Fourier coefficients, cross products, and principal minors.
  • Integration techniques, specifically the rule of substitution and integrals over curves in space
  • Axioms defining algebraic vector space operations, vector norms, and inner products.
Beurteilungskriterien (*)written examination, homework, attendance
Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)
  • The Chemistry Maths Book, Erich Steiner, Oxford University Press, 1996, ISBN 0-19-855913-5
  • Mathematics for Physical Chemistry, Robert G. Mortimer, Elsevier, 2005, ISBN 0-12-508347-5
  • Maths for Chemistry: A chemist's toolkit of calculations, Paul Monk and Lindsey J. Munro, Oxford University Press, 2010, ISBN 0-19-954129-9
  • Mathematics for Chemists, .G. Francis, Springer, 1984, ISBN 978-94-010-8950-0

Until termin 2026S known as: 663MAPHMA2U18 Applications of Mathematics for Biological Chemistry 2

Gilt als absolviert, wenn (*)663MAPHMA2U18: UE Applications of Mathematics for Biological Chemistry 2 (3 ECTS)
or
290MAFSMC2U19: UE Applications of Mathematics in Chemistry with Exercises II (3 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer 25
Zuteilungsverfahren Direktzuteilung