Mathematics III - Ordinary Differential Equations
Differential equations, i.e. equations of one or more functions and their derivatives, are an indispensable tool for understanding the world: they appear in the modeling of numerous processes in physics, biology, technology, social sciences, and economy.
Information for admitted students Spring 2021
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Follow the instructions on wether you have to reply to your offer or not.
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Checklist for admitted students
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This course provides an introduction into ordinary (i.e. one-variable) differential equations, their analytical and numerical solution techniques and the underlying theory, such as statements on the existence and uniqueness of solutions or their stability. In addition, a few examples of partial differential equations will be treated.
Course contents
Linear differential equations with constant and variable coefficients, existence and uniqueness theorems, boundary value problems, Green's function, plane autonomous systems, stability and classification of critical points, examples of second order partial differential equations, separation of variables, transformation methods for differential equations, numerical solutions.
The contents of the course may be applied in modelling in a number of fields, as for example Physics and Economy.
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Course structure
The course consists of three elements, where one (theory) is compulsory and the student chooses one of the other two elements (project - theory, or project - numerical calculations) to complete.
Teaching format
Instruction is given in the form of lectures and exercise sessions.
Assessment
Examination for the course is done with a written (and, for higher grades, oral) examination, and written and oral presentation of the project (whether theory or numerical calculations).
To pass the course, you must pass the theory element and one of the two project elements. The grade is decided by the grade on the theory element.
Examiner
A list of examiners can be found on
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
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More information
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We do not use Athena, you can find our course webpages on kurser.math.su.se.
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