Spatio-temporal Analytics and Modelling
Explain to peers the main advantages and limitations of using geo-computational methods.Evaluate the innovation and societal relevance and impact of the project.Discuss the main modelling paradigms.Design a conceptual model for a spatio-temporal ABM using UML and the ODD protocol.Choose and integrate appropriate geocomputational methods to study a simple spatio-temporal problem.Organize and conduct the modelling and analysis phases required by a simple spatio-temporal project.Apply cloud computing approaches to support and/or realize the main modelling and analysis phases.Implement a basic ABM model, and calibrate this model using behavioural space.
is course learning outcome of
Spatio-temporal Analytics and Modelling
OSIRIS number
course number
EC credits
durationHours
durationWeeks
endDate
2023-07-06T22:00:00Z
has delivery mode
hasDidacticalApproachComment
During this course, students c ...... parts of analysis and models.
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has learning outcome
hasPrerequisiteComment
Basic Programming skills, Basi ...... ontact the course coordinator.
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is part of programme
number of staff
quartileITC
quartileUT
startDate
2023-04-23T22:00:00Z
abstract
Processes relevant to system E ...... ations for real-life problems.
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title
Spatio-temporal Analytics and Modelling
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type
label
Spatio-temporal Analytics and Modelling
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prefLabel
Spatio-temporal Analytics and Modelling
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