KE803: Molecular Modelling
Study Board of Science
Teaching language: English
EKA: N540012102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Autumn
Level: Master
STADS ID (UVA): N540012101
ECTS value: 5
Date of Approval: 15-05-2023
Duration: 1 semester
Version: Approved - active
Comment
Entry requirements
Bachelor’s degree in Chemistry, Nanobioscience, Pharmaceutical Chemistry, Pharmaceutical Sciences or Chemical Engineering, or B.Sc. minor degree in chemistry.
The course cannot be chosen by students who have passed KE534.
KE534/KE803 can not be followed if you have passed or is registered for KE540
KE534/KE803 can not be followed if you have passed or is registered for KE540
Academic preconditions
Students taking the course are expected to be familiar with introductory quantum chemistry, basic mathematical analysis and linear algebra and introductory organic chemistry.
Course introduction
The purpose of this course is to provide the students with an overview of modern methods within the field of computational chemistry. There will be particular focus on applications within organic chemistry.
The course builds partly on the knowledge acquired in KE522: Quantum chemistry and theoretical spectroscopy (10 ECTS) or KE540: Quantum Chemistry and Modelling (5 ECTS) and KE551: Mathematical applications (5 ECTS) or corresponding and provides a scientific basis for understanding modern modeling methods with broad application in the chemistry education.
In relation to the competence profile, the course will explicitly focus on making the student able to analyze and work with problems in chemistry based on modern modeling and to perform calculations on typical chemical problems.
Expected learning outcome
The learning objectives of the course is that the student demonstrates the ability 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 reliability of the computations.
Content
The following main topics are contained in the course: 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, 3nd ed., Wiley.
See itslearning for syllabus lists and additional literature references.
See itslearning for syllabus lists and additional literature references.
Examination regulations
Exam element a)
Timing
January
Tests
Project assignment
EKA
N540012102
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
English
Examination aids
To be announced during the course
ECTS value
5
Additional information
The course is evaluated with a project assignment.
The projects may be completed in groups consisting of max. 2 participants. Individual marking.
The projects may be completed in groups consisting of max. 2 participants. Individual marking.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
- Intro phase (lectures) - 18 hours
- Training phase: 20 hours, including 20 hours tutorials
Activities during the study phase:
- Work with the material from the book
- Problem solving
- Preparation of the final project
Teacher responsible
Timetable
Administrative Unit
Team at Educational Law & Registration
Offered in
Recommended course of study
Profile | Education | Semester | Offer period |
---|---|---|---|
MSC major in Medicinal Chemistry - registration 1 September 2021, 2022 and 2023 | | Odense | 1 | E23 |
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.