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ECE212 Differential Equations

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE212 Differential Equations
Subject Area Applications and Foundations of Computer Science
Semester Semester 4 – Spring
Type Required
Teaching Hours 4
ECTS 6
Recommended Courses
  • ECE113 Calculus I
  • ECE117 Linear Algebra
Course Site https://eclass.uth.gr/courses/E-CE_U_215
Course Director

Emmanouil VavalisEmmanouil Vavalis, Professor
E-mail: mav@e-ce.uth.gr

Course Instructor
  • Adreas Zoupas, Αdjunct Professor
    E-mail: anzoupas@uth.gr
  • Description
  • Learning Outcomes

Introduction

  • Definitions, sources and types of differential equation. Solutions.

1st order Ordinary Differential Equations (ODE)

  • Integrals as solutions, slope fields, existence and uniqueness of the solution
  • Separable equations, implicit solutions
  • Integration factor
  • Substitutions, Bernoulli equations, homogeneous equations
  • Autonomous equations

Higher order linear ODEs

  • Equations with constant coefficients, complex solutions and Euler, linear independence
  • Mechanicalvibrations, free oscillations
  • Non-homogeneous equations
  • Forced oscillations and resonance

Systems of ODEs

  • Eigenvalue methods
  • Two dimensional systems and vector fields
  • Second order equations and applications
  • Multiple eigenvalues
  • Matrix exponentials
  • Non-homogeneous systems of equations

Fourier series

  • Boundary value problems
  •  Fourier series
  • Sine and cosine series

Partial Differential Equations

  •   Head equation
  • Wave equation
  • Laplace equation

Laplace Transform

  • Laplace transform and its inverse
  • Solution of ODEs withLaplacetransforms

The main objective of the course is that the students acquire the ability to use differential equations to model physical phenomena, analyze their properties, solve such equations and use the solutions to deeper understanding of these phenomena. In particular, students will be able to

  • Model physical phenomena with ordinary differential equations, partial differential equations and systems of differential equations ,
  • Solve such as the above mentioned equations using analytic or graphical methods ,
  • Analyze and communicate the results above mentioned results.
  • Show clear understanding on Fourier Series analysis and Laplace transforms.
  • Ability to use software systems like the http://www.wolframalpha.com/ and http://www.math.uiuc.edu/iode/ for all the above.

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Contact Info

  • 37 Glavani – 28th October Str
  • Phone: +30 24210 74967
  • Fax: +30 24210 74997
  • Email: gece@e-ce.uth.gr

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