TFYA34 Applied Scientific Computing 2008

Study Guide@lith

Valid for year : 2008

TFYA34	Applied Scientific Computing, 6 ECTS credits. /Applied Scientific Computing/ For: COM Mat MMAT
	Prel. scheduled hours: Rec. self-study hours: 160
	Area of Education: Technology Subject area: Physics
	Advancement level (G1, G2, A): A
	Aim: The courses is aimed to give students the introduction to the computational sciences, a new multidisciplinary field which involves mathematical modeling, numerical solution techniques and the use of computers in solving and analyzing complex problems arising in natural sciences and engineering. The course has two parts, the first part is a series of lectures introducing the scientific areas included into the Master's Programme in Computational Sciences. The aim of this part is to give an overview of the content of the programme and to stress the multidisciplinary character of Computational Sciences. The second part of the course implies carrying out a project in the four different profiles within the Programme. The aim of the course as a whole is to make students familiar with the content of the Programme and different profiles inherent in it. In order to achieve this goal students have to: know the definition and composition of computational sciences choose the project within a certain profile perform the task specifying in the project work in the group and represent the results during the seminars
	Prerequisites: (valid for students admitted to programmes within which the course is offered) Participants are expected to have a major in mathematics, physics, mechanics, or biosciences, including basic courses in mathematics (calculus, linear algebra, vector calculus, complex functions) and at least one course each in numerical methods and a common computer programming language. Experience in the use of computers is also expected. Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
	Organisation: The course contains lectures, seminars and project work.
	Course contents: The first part of the course contains 14 hours of lectures and 16 hours of labs. The second part of the course includes seminars and project work within four profiles: Computational Biosciences (responsible: Bengt Persson) The project in Computational Biosciences deals with computer-assisted analyses within the fields of bioinformatics, computational biology and systems biology. The methods include sequence comparisons, pattern analyses, machine-learning techniques, molecular modelling, network analyses and evolutionary calculations. The project can either be oriented towards development of new methods or towards application/adoption of existing methods on relevant biological/biomedical problems. Scientific Computing and Visualization (responsibles: Lars Eldén, Anders Ynnerman) The projects in Scientific Computing and Visualization deal with the solution and/or visualization of problems mainly from the other branches of the Masters program, with the emphasis is on problem-solving and algorithms. Examples are the solution of stationary and time-dependent partial differential equations, and large and sparse eigenvalue problems arising in mechanics and physics. Computational Mechanics (responsible: Anders Klarbring) The project in Computational Mechanics deals with the modelling and simulation of a phenomenon in the mechanics of nature or engineering. Modern applications for CM concern, for instance, tissues and organs in animals and humans, where fundamental mechanical equations govern the biomechanical function of tissues. These problems naturally leads to three-dimensional, time-dependent PDE:s that must be solved using numerical method such as FEM. Computational Physics (responsible: Igor Abrikosov) The project in Computational Physics deals with the simulations of matter at the atomic and mesoscopic length scales. The simulation tools are based on the fundamental principles of quantum or classical mechanics and statistical physics. They are applied to a wide range of basic and applied problems, including simulations of the growth of nanomaterials, properties of quantum wires and quantum point contacts, charge transport in polymeric materials and carbon nanotubes. The project emphasizes the interdisciplinary character of the modern Computational Physics, and includes applications within chemistry, electronics, metallurgy, and geophysics.
	Course literature: Lecture notes and related materials which will be hand out during lectures.
	Examination:
	Oral presentation of the projects and a written report	6 ECTS

	Grades are given as "Fail" or "Pass".
Course language is English. Department offering the course: IFM. Director of Studies: Leif Johansson Examiner: Sven Stafström Course Syllabus in Swedish

Linköping Institute of Technology
Contact: TFK , val@tfk.liu.se Last updated: 06/11/2015