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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Geology
Semester:
1st Semester
Teaching Languages:
English and Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Efrat Morin
Coordinator Office Hours:
Tuesday 11-12
Teaching Staff:
Prof Efrat Morin
Course/Module description:
Models are used for system investigation for in research areas. The current course deals with modeling environmental systems in Geography and Earth sciences. We will learn what is a model, steps in model development, types of models, calibration and validation methodologies, sensitivity and uncertainty analyses. We will also learn the principles of with spatial models, data-driven models, numerical models and stochastic models. The course includes exercises of model development and application of the studied methodologies.
A modeling project from the student research or interest area is a main target.
Course/Module aims:
To acquaint and understand the "model" tool and related concepts, to impart theoretical and practical capabilities of model development for environmental systems and a wise use of models.
Learning outcomes - On successful completion of this module, students should be able to:
Categorize models according to different criteria
Identify model limitations
Assess reliability of scientific results obtained with a model
Develop a conceptual model for environmental systems
Construct a computer model for a given conceptual model
Attendance requirements(%):
The course is planned assuming students' attendance in lectures and tutoring, but it is not a formal requirement of the course.
Teaching arrangement and method of instruction:
Lecture, exercise, exam, project
Course/Module Content:
General background
Models calibration and verification
Sensitivity analysis
Uncertainty analysis
Spatial component of models
Data-driven models
Numerical models
Stochastic models
Required Reading:
None
Additional Reading Material:
The nature of Mathematical Modeling, Neil Gershenfeld, Cambridge University Press, 1999
Sensitivity Analysis, Edited by: A. Saltelli, K. Chan, E. M. Scott, Wiley, 2000
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 5 %
Participation in Tutorials 0 %
Project work 40 %
Assignments 40 %
Reports 0 %
Research project 0 %
Quizzes 15 %
Other 0 %
Additional information:
Final project presentation will be held on 16/2/2022. Participation in this meeting is mandatory.
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