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Presentation
Presentation
Students will learn what is a stochastic process and how to deal with some specific processes
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULHT6634-23086
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
CP1: Stochastic Processes and their characterization
CP2: Markov Chains
CP3: Poisson processes
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Objectives
Objectives
developed by the students):
LO1: Understand and characterize simple stochastic systems in general;
LO2: Solve basic problems associated with Markov chains and the Poisson process.
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching methodology includes the expository method (TM1) to present the necessary contents, the demonstrative (TM2) to illustrate its application to practical examples and the active one (TM3) for solving exercises.
The assessment of knowledge is made by continuous assessment or written test of the final exam. Continuous assessment includes two written tests with a weight of 35% each, practical exercises throughout the semester (20%) and involvement in class (10%).
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References
References
- Ross, S.M. (2014). Introduction to Probability Models. (11th ed.). Academic Press,New York
- Ross, S.M. (1996). Stochastic Processes. (2nd ed.). John Wiley & Sons.
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Office Hours
Office Hours
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Mobility
Mobility
No
