Project course in Computational Physics CDIO, 12 credits

Main field of study

Course level

Advancement level

Course offered for

• Applied Physics and Electrical Engineering, M Sc in Engineering
• Materials Science and Nanotechnology, Master's programme
• Applied Physics and Electrical Engineering - International, M Sc in Engineering

Specific information

The Entrepreneurship part overlap with other CDIO courses and cannot be included more than once in a degree.

Exchange students may apply for the course after arrival to LiTH but before it starts. The international officer for exchange studies must be contacted before applying.

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Intended learning outcomes

The course serves as an introduction to modern computational methods currently used in solid state physics, chemistry, biology and materials science. The main objective of the course is to present the principles underlying classical and ab-initio Monte Carlo and Molecular Dynamics simulations. These methods are nowadays used extensively in the quest for new, man-made materials, in a wide range of industrial sectors (biotechnology, automotive, semiconductors, coatings).
A purpose for the course is also for the students to acquire knowledge and abilities within the general area of entrepreneurship, with particular focus on business planning for new ventures. After the course, students should be able to:

• account for models that describe what it takes for a new venture to have a stable basis for further development and to asess the level of development of ventures using such models; and
• account for the information and analyses needed to evaluate a development project from a business point of view and have the ability to collect and analyse relevant information for the purpose.

  Course content

  The course is concerned with the theory and application of computer simulation of many-body systems. Following a review of the principles of statistical mechanics underlying computer simulations, the Monte Carlo (MC) and Molecular Dynamics (MD) techniques are introduced. Topics discussed include Monte Carlo integration, importance sampling, the Metropolis method, integration of equations of motion for many-body systems in MD, the Verlet algorithm and force calculation. MC and MD in various statistical ensembles, as well as analysis and visualisation techniques are also presented, with emphasis on the application for practical solutions of materials related problems.

  Teaching and working methods

  The course follows the "Conceive Design Interact Operate (CDIO)" program at LiU and will use the project model "Linkoping Interactive Project Steering (LIPS)". Following a theoretical introduction to the computational methods, students will have to successfully complete a project related to materials science/thin films problems.
  The course runs over the entire autumn semester.

  Examination

  UPG1	Entrepreneurship assignements	3 credits	U, G
  LAB1	Laboratory work	2 credits	U, G
  PRA1	Group working report followed by questions session.	7 credits	U, G

  Grades are given as ‘Fail’ or ‘Pass’.

  Grades

  Two-grade scale, U, G

  Department

  Institutionen för fysik, kemi och biologi

  Director of Studies or equivalent

  Magnus Johansson

  Examiner

  Valeriu Chirita

  Course website and other links

  http://www.ifm.liu.se/undergrad/fysikgtu/coursepage.html?selection=all&sort=kk

  Education components

  Preliminary scheduled hours: 192 h
  Recommended self-study hours: 128 h

  Course literature

  Additional literature

  Books

  • M.P. Allen & D. J. Tildesley, Computer Simulation of Liquids Oxford Science Publications
    ISBN: ISBN 0 - 19 - 855645 - 4

  Compendia