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Lecturer(s)
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Nožka Libor, Mgr. Ph.D.
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Chytka Ladislav, Ing. Ph.D.
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Černý Karel, RNDr. Ph.D.
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Course content
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1. Experiments in high-energy physics 2. Random numbers - their sequences, generators of random numbers 3. Method of Monte Carlo - principles, usage in practice, data model, Geant4 tool 4. ROOT package - principles and usage in practice
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Demonstration
- Homework for Teaching
- 27 hours per semester
- Preparation for the Exam
- 24 hours per semester
- Attendace
- 39 hours per semester
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Learning outcomes
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The aim is to give students information about Monte Carlo methods and processing event-driven data.
Understand Monte Carlo methods, ability to create simple models, and understand event-based data and its meaning in particle physics.
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Prerequisites
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Not specified.
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Assessment methods and criteria
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Written exam
Class attendance. Knowledge of the course topics, ability to discuss about the course topics in wider contexts.
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Recommended literature
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Davídek, Tomáš. (2012). Elementární částice od prvních objevů po současné experimenty. Praha.
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Griffiths, David. (2012). Introduction to Elementary Particles.
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Nosek, Dalibor. (2005). Jádra a částice, řešené příklady. Praha.
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Nožka, Libor. (2012). Modelování fyzikálních procesů pomocí trasovacího nástroje Geant4. Olomouc.
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Thomson, Mark. (2013). Modern Particle Physics. Londýn.
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Virius, Miroslav. (2010). Metoda Monte Carlo. ČVUT.
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