701-0071-AAL  Mathematics III: Systems Analysis

SemesterAutumn Semester 2024
LecturersR. Knutti, H. Wernli
Periodicityevery semester recurring course
Language of instructionEnglish
CommentEnrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.



Courses

NumberTitleHoursLecturers
701-0071-AA RMathematics III: Systems Analysis
Self-study course. No presence required.
Please contact Prof. Heini Wernli for further information.
120s hrsR. Knutti, H. Wernli

Catalogue data

AbstractThe objective of the systems analysis course is to deepen and illustrate the mathematical concepts on the basis of a series of very concrete examples. Topics covered include: linear box models with one or several variables, non-linear box models with one or several variables, time-discrete models, and continuous models in time and space.
Learning objectiveLearning and applying of concepts (models) and quantitative methods to address concrete problems of environmental relevance. Understanding and applying the systems-analytic approach, i.e., Recognizing the core of the problem - simplification - quantitative approach - prediction.
ContentIntroduction to principles of models; one-dimensional linear box models; multi-dimensional linear box models; nonlinear box models; models in space and time
Lecture notesTeaching material: book (see literature).
LiteratureImboden, D.S. and S. Pfenninger (2013) Introduction to Systems Analysis: Mathematically Modeling Natural Systems. Berlin Heidelberg: Springer Verlag.

http://link.springer.com/book/10.1007%2F978-3-642-30639-6

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersH. Wernli, R. Knutti
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.
Additional information on mode of examinationoral exam (30 min.)

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Atmospheric and Climate Science MasterCourse Units for Additional Admission RequirementsE-Information
Food Science and Nutrition MasterCourse Units for Additional Admission RequirementsE-Information
Environmental Sciences MasterCourse Units for Additional Admission RequirementsE-Information