NANS1004 Computational Nanosciences (2 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Mathematics and Science
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
Content
Viewpoints to computational research (material systems, methods, analysis, processes, computational infrastructure); overview of various computational methods (many-body methods, density-functional theory, tight-binding model, classical force fields, discretized continuum); suitability of different methods to investigate nanomaterial properties; computational research at NanoScience Center.
Completion methods
Discussions and interactive events, research project, participants teach.
Assessment details
Compulsory lecture attendance (one absence allowed, second absence requires extra work). Assessment is based on project (written and oral presentation) and activity on lectures.
Learning outcomes
At the end of this course, students are able to relate computational research to experimental and purely theoretical research. Students can differentiate and classify different methods in computational nanoscience with respect to their central approximations, quantum-mechanical characters, and computational efficiencies. They are able to justifiably choose the most appropriate computational methods once given the material system and the properties under investigation as well as independently deepen their methodological knowledge whenever necessary.
Additional information
Given on spring semester 2nd period, every year.
Study materials
Material will be presented during the course.
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (2 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English