NANS1004 Computational Nanosciences (2 cr)

Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Biological and Environmental Science, Department of Physics, Department of Chemistry, Faculty of Mathematics and Science
Curriculum periods:
2020-2021, 2021-2022, 2022-2023

Description

  • Viewpoints to computational research (material systems, methods, analysis, processes, computational infrastructure, practical aspects)

  • 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 of Jyväskylä 

Learning outcomes

At the end of this course, students are able to

  • relate computational research to purely experimental and theoretical research

  • name the most common computational methods of nanoscience research

  • describe the basic principles behind the methods

  • differentiate and classify different methods of computational nanoscience with respect to their central approximations, quantum-mechanical characters, computational efficiencies and use

  • give a presentation about one topic related to computational nanoscience

  • justifiably choose the most appropriate computational methods once given the material system and the properties under investigation

  • in future independently deepen their methodological knowledge on computational nanoscience 

Study materials

Material produced by other students and material given at the lectures. 

Completion methods

Method 1

Evaluation criteria:
Activity on lectures, project work and presentation, criteria based self-assessment (possibly other smaller written tasks).
Time of teaching:
Period 4
Select all marked parts

Method 2

Description:
This completion method is intended for students for whom method 1 is not possible for specific reasons (e.g. language, living elsewhere). Contact the teacher before enrolling to the course via this completion method.
Evaluation criteria:
Project work and presentation, comprehensive written task.
Select all marked parts
Parts of the completion methods
x

Teaching (2 cr)

Type:
Participation in teaching
Grading scale:
0-5
Evaluation criteria:
Activity on lectures; project work and presentation; criteria based self-assessment (possibly other smaller written tasks)
Language:
English
Study methods:
  • Lectures, compulsory attendance (one absence allowed, the following absences require extra work)

  • Project work, interview of a specialist and oral presentation

  • Smaller written tasks like self-assessment 

Teaching

x

Independent study (2 cr)

Type:
Independent study
Grading scale:
0-5
Evaluation criteria:
Project work and presentation; comprehensive written task
Language:
English
Study methods:
  • Independent studying of methods

  • Project work, interview of a specialist and video presentation

  • Comprehesive written task 

No published teaching