Stochastic Processes and Simulation II
This course covers mainly Renewal theory, where we by removing the assumption that stochastic processes are memoryless consider models that are more complicated but more realistic than in previous courses, and Brownian motion, the random movement of a particles in a medium.
The course covers renewal theory, methods of stochastic simulation and the theory of Brownian motion.
Renewal Theory: A basic assumptions during previous courses is that stochastic processes are memoryless (Markovian). In the renewal theory we drop this assumption and study processes where the future advancement is not linked to the past. Therefore we lose some simplicity and elegance, but instead we obtain significantly more realistic results.
Brownian Motion: When a particle moves randomly, (like, for instance, a molecule in gas), its movement can often be viewed upon as a sum of a large number of impulses (collisions with other molecules in the gas). Due to the fact that the sums of stochastic variables are normally distributed, the particle's movements should approximately be normally distributed. Assuming that the time perspective of interest is a lot larger then the interval between two impulses, it follows that the particle's location is normally distributed. Then the particle describes Brownian motion. This mathematical model is frequently used, not only within physics, but also in many other areas of science and economy.
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Course structure
The course consists of two elements, theory and computer exercises.
Teaching format
Instruction is given in the form of lectures, exercise sessions and computer exercises.
Assessment
Examination for the course is done with a written examination, and written presentation of the computer exercises.
Examiner
A list of examiners can be found on
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
Ross: Introduction to probability models. Academic Press.
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Course reports
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More information
New student
During your studiesCourse web
We do not use Athena, you can find our course webpages on kurser.math.su.se.
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