The Hebrew University Logo
Syllabus Modeling Environmental Systems - 70897
עברית
Print
 
close window close
PDF version
Last update 09-10-2021
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 Email: efrat.morin@mail.huji.ac.il

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.
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
Print