804969 UE Übungen zu Computational Physics II (2005S)
Übungen zu Computational Physics II
Continuous assessment of course work
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Vorbesprechung: Di.1.3.2005 12:00, kleiner Hörsaal, 2. Stock,
Mi, 3.3.2005 14:15-15.45, P-Labor, Institut für Experimentalphysik, Strudlhofgasse 4, 1090 Wien
Mi, 3.3.2005 14:15-15.45, P-Labor, Institut für Experimentalphysik, Strudlhofgasse 4, 1090 Wien
Details
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Understanding of the course
Examination topics
Corresponding to the type of the course.
Reading list
wird am Beginn der Lehrveranstaltung vereinbart
Association in the course directory
PD250,P251d,LA-Ph212(5)
Last modified: Fr 31.08.2018 09:01
This regular course extends over the entire academic year and consits of a weekly 3 hours of lectures and 2 hours of workshop. It is designed for students from the third year up.The textbook "Computational Physics - An Intorduction" by Franz Vesely (Plenum 1994 and Kluwer 2001) is based on this course.The first three chapters are devoted to a thorough, if concise, treatment of the main ingredients from numerical mathematics: finite differences, linear algebra, and stochastics. This exercise will prove valuable when we proceed, in chapters 4 and 5, to combine these elementary tools into powerful instruments for the integration of differential equations.
The final chapter - to be treated in the following summer term - are devoted to a number of applications in selected fields: statistical physics, quantum mechanics, and hydrodynamics..
The course material is deposited at my website,www.exp.univie.ac.atIn an ongoing project I am gradually augmenting the web material by sample programs. These are written in JAVA and are accompanied by short explanations.In addition, various ad hox questions are answered in the WEBLOG on my homepage.
Tale of contents: 1. Finite Difference Calculus/2. Linear Algebra/3. Stochastics/4. Ordinary Differential Equations (ODE)/5. Partial Differential Equations(PDE)