KE803: Molecular Modelling (5 ECTS)

STADS: 10002701

Level
Master's level course

Teaching period
The course is offered in the autumn semester.

Teacher responsible
Email: kongsted@sdu.dk

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 14-16 U133 37
Common I Tuesday 14-16 U89 36,39,45
Common I Tuesday 12-14 U147 38,41,43
Common I Tuesday 10-12 U133 40
Common I Thursday 14-16 U133 36
Common I Friday 14-16 U155 36 Velkommen-til-kandidaten på FKF
H1 TE Wednesday 09-12 U26b 37,46
H1 TE Thursday 10-13 U26b 38
H1 TE Thursday 14-17 U26b 39-40
H1 TE Thursday 13-16 U26b 41,45
H1 TE Thursday 12-15 U26b 43-44
H1 TE Friday 14-17 U26b 46
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Comment:
Kurset samlæses med bachelorkurset KE534 Molecular modelling

Prerequisites:
Bachelor’s degree in Chemistry, Nanobioscience, Pharmaceutical Chemistry, Pharmaceutical Sciences or Chemical Engineering. Or B.Sc. minor degree in chemistry.

Academic preconditions:
Additional prerequisites: KE522 is assumed known, alternatively KE818 Supplementary Course in Quantum Chemistry and Symmetry can be attended simultaneously at the latest.

Course introduction
The purpose of this course is to provide a student with an overview of modern methods within the field of computational chemistry. There will be particular focus on applications within organic chemistry.

Expected learning outcome
A student who participates in this course should be able to

  • identify and describe the modern methods of computational chemsitry as described in the subject list;
  • assess the strengths and weaknesses of these methods in the context of solving problems within organic chemistry;
  • choose relevant methods for the study of a given problem;
  • carry out computations with the methods chosen for the study of a problem and interpret and assess the reliabilty of the computations.
Subject overview
Force field methods, electron structure methods, including ab-initio, DFT and semi-empirical models, molecular dynamics. The focus will mainly be on the application of these methods to solve practical problems. The use of the methods will be demonstrated with computer exercises applying various software.

Literature
  • Frank Jensen: Introduction to Computational Chemistry, 2nd ed., Wiley.


Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
Project report, passed/not passed, internal marking by lecturer. The projects may be completed in groups consisting of max. 2 participants. Individual marking.

Reexamination in the same exam period or immediately thereafter.

Expected working hours
The teaching method is based on three phase model.
Intro phase: 20 hours
Skills training phase: 30 hours, hereof:
 - Tutorials: 30 hours

Educational activities

Language
This course is taught in English, if international students participate. Otherwise the course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.