Inhalt

[ 290GESKCCHK18 ] KV (*)Computational Chemistry

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS B3 - Bachelor 3. Jahr Chemie Matthias Bechmann 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Chemistry and Chemical Technology 2025W
Lernergebnisse
Kompetenzen
(*)Students will understand and be able to apply, and explain the following: • knowledge of quantum chemical methods, including Hartree-Fock, post-Hartree-Fock, and density functional theory (DFT) • understanding of molecular mechanics, force fields, and potential energy surfaces • proficiency in using computational chemistry software packages like ORCA • ability to perform geometry optimizations, transition state searches, and conformational analysis • skills in conducting molecular dynamics simulations • capability to calculate molecular properties and spectroscopic data • proficiency in presenting findings verbally and in writing • ability to carry out independent research projects in computational chemistry
Fertigkeiten Kenntnisse
(*)Upon completion of the course they will be able to • know, understand and apply quantum chemical methods, including Hartree-Fock, post-Hartree-Fock methods, and density functional theory (DFT) (k1, k2, k3) • know, understand and apply the basics of molecular mechanics and force fields (k1, k2, k3) • principles of potential energy surfaces, conformational search, and optimization techniques (k1, k2, k3) • performing geometry optimizations and transition state searches (k1, k2, k3, k4) • conducting conformational analysis (k1, k2, k3) • calculating molecular properties and spectroscopic data (k1, k2, k3, k4) (*)Underlying concepts and mechanistic details of • quantum chemical methods, including Hartree-Fock, post-Hartree-Fock methods, and density functional theory (DFT) • molecular mechanics and force fields • potential energy surfaces, conformational search, and optimization techniques • ab initio approaches, semi-empirical methods, and empirical force fields • molecular dynamics simulations, both classical and ab initio • techniques for studying biomolecules, including proteins and nucleic acids • geometry optimizations and transition state searches • calculation of molecular properties and spectroscopic data • application of computational methods to real-world chemical problems
Beurteilungskriterien (*)
  • oral exam
  • project report
  • peer review of project report
Lehrmethoden (*)
  • lectures
  • tutorials
  • exercises
Abhaltungssprache Englisch
Lehrinhalte wechselnd? Nein
Präsenzlehrveranstaltung
Teilungsziffer 25
Zuteilungsverfahren Direktzuteilung