Partial Differential Equations (AN6)

Graduate Courses Outlines - Department of Mathematics

General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	AN6
Semester	2
Course Title	Partial Differential Equations
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	General Background
Prerequisite Courses	Vector Analysis (undergraduate), Real Analysis, Functional Analysis
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

The course, apart from the instruction in the classical quartet of Partial Differential Equations (PDEs) (transport, Laplace, heat and wave) in several space variables, aims, first, to highlight the modern, analytic approach to the theory of PDEs and the reasons that suggest it, and, second, to provide an introduction to nonlinear PDEs, especially concerning first-order and hyperbolic equations. The skills and competences the students will acquire concern, on the one hand, the paradigmatic transition from the resolution of a problem to the theoretical analysis of its properties and the investigation of its structural foundation, and, on the other hand, the recognition of the essential difference between linear and nonlinear problems and the limitations of the method of approximation of a nonlinear problem by linear problems.

General Competences

Search for, analysis and synthesis of data and information Adapting to new situations Decision-making Working independently Working in an interdisciplinary environment Criticism and self-criticism Production of free, creative and inductive thinking

Syllabus

Transport, Laplace, heat and wave equations for several space variables. Nonlinear first-order equations (method of characteristics, introduction to Hamilton-Jacobi equations and to conservation laws, weak solutions). The Cauchy-Kovalevskaya Theorem. Sobolev Spaces and weak derivatives. Theory of second-order linear equations. Semigroup Theory. Nonlinear hyperbolic and dispersion equations.

Teaching and Learning Methods - Evaluation

Delivery	ΧΧΧ
Use of Information and Communications Technology	ΧΧΧ
Teaching Methods	Activity Semester Workload Lectures 39 ΧΧΧ 000 ΧΧΧ 000 Course total 187.5
Student Performance Evaluation	ΧΧΧ