- Introduction to multiscale modelling
- Review of electronic structure calculation methods
- Modelling of interatomic interactions
- Methods for atomistic scale simulations
- Meso-scale simulation methods
- Computer exercises
- Projects
FBB3570 Multiscale Modelling in Chemistry and Biology 10.0 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FBB3570 (Spring 2020–)Information for research students about course offerings
The course is planned to run in P4 spring 2021.
Content and learning outcomes
Course contents
Intended learning outcomes
This course aims at providing students with fundamental concepts, principles, and methods in multiscale modelling. You will learn how to use multiscale modelling methods to study large molecular systems.
For whom: PhD students
Literature and preparations
Specific prerequisites
PhD students who have the fundamental knowledge of molecular modeling, in particular quantum chemistry.
Recommended prerequisites
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- DEL1 - Participation, 4.0 credits, grading scale: P, F
- INL1 - Hand in exercise, 2.0 credits, grading scale: P, F
- PRO1 - Proect work, 4.0 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Attendance on at least 80% of the lectures, finish all the exercises and projects and present the results.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
Min/max 3/20 participants
Contact the examinator to apply and last day of application.