raw/raw_bsc__differential_equations.f23.md

BSc: Differential Equations.f23
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Contents
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* [1 Differential Equations](#Differential_Equations)
	+ [1.1 Short Description](#Short_Description)
	+ [1.2 Course Topics](#Course_Topics)
	+ [1.3 Intended Learning Outcomes (ILOs)](#Intended_Learning_Outcomes_.28ILOs.29)
		- [1.3.1 Course objectives](#Course_objectives)
	+ [1.4 Grading](#Grading)
		- [1.4.1 Course grading range](#Course_grading_range)
		- [1.4.2 Course activities and grading breakdown](#Course_activities_and_grading_breakdown)
	+ [1.5 Resources, literature and reference materials](#Resources.2C_literature_and_reference_materials)
		- [1.5.1 Open access resources](#Open_access_resources)



Differential Equations
======================


* **Course name**: Differential Equations
* **Code discipline**: CSE205
* **Subject area**: Math


Short Description
-----------------


This course is an introduction to ordinary differential equations(ODEs) and their applications. Topics covered include first order ODEs, second order linear ODEs, Laypunov’s stability theory and numerical methods.The course will also introduce students to systems of linear equations and eigenvalue problems.



Course Topics
-------------




Course Sections and Topics
| Section | Topics within the section
 |
| --- | --- |
| Differential equations of the first order | 1. Introduction into differential equations. Origins and examples of the differential equations.
2. A geometrical interpretation of the differential equations of the first order. A field of directions and solutions of the differential equations as trajectories
3. Theorem about existence of the solution of the differential equations. Proof of the theorem.
4. Equations with separable variables and linear equations of the first order.
5. Homogeneous equations and exact equations and integration factors.
 |
| Differential equations of the second order | 1. Linear equations of the second order. Phase portraits, trajectories and conservation laws. Singular points of the second order equations.
2. Non-homogeneous equations and method of undetermined coefficients. Resonances.
3. Variations parameters for the second order equations.
4. Boundary value problems for the second-order equations and Green's function.
5. Applications of Laplace transform.
 |
| Nonlinear equations and Lyapunov's stability | 1. Nonlinear equations of the second order. Conservation laws and trajectories.
2. Lyapunov's stability. Lyapunov's function and Lyapunov stability theorems.
3. Chetaev's instability theorem and examples of chaotic systems.
4. Partial differential equations of the first order and method of characteristics.
 |
| Systems of the differential equations | 1. Linear systems of differential equations of the first order and matrix of fundamental solutions.
2. Method of variations parameters for the non-homogeneous linear systems.
 |
| Numerical methods | 1. Euler's method.
2. Runge-Kutta method.
3. Stability and accuracy of numerical methods.
 |


Intended Learning Outcomes (ILOs)
---------------------------------


### Course objectives


Upon completion of this course, students should be able to:



* Realize conditions of existence for the equations of the first order and solve first-order ordinary differential equations using various techniques such as separation of variables, integration factors.
* Solve second-order linear differential equations with constant coefficients using techniques such as the characteristic equation and the method of undetermined coefficients and applications of Laplace transform for the linear equations.
* Define the resonant conditions for the linear and nonlinear equations of the second order equation.
* Apply the Lyapunov's stability theory for the linear and nonlinear systems.
* Know the properties of the solutions of first-order partial differential equations.
* Apply numerical methods to approximate solutions to differential equations.
* Understand the concept of eigenvalues and eigenvectors and use them to solve systems of linear differential equations.


Grading
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### Course grading range





| Grade | Range | Description of performance
 |
| --- | --- | --- |
| A. Excellent | 90-100 | -
 |
| B. Good | 75-89 | -
 |
| C. Satisfactory | 60-74 | -
 |
| D. Fail | 0-59 | -
 |


### Course activities and grading breakdown





| Activity Type | Percentage of the overall course grade
 |
| --- | --- |
| Midterm | 20
 |
| Interim Assessment | 20 pts (2 tests by 10 pts)
 |
| Final exam | 30
 |
| Computational assignment | 30
 |
| Attendance and In-class participation | 7
 |


Resources, literature and reference materials
---------------------------------------------


### Open access resources


* Elementary Differential Equations by William F. Trench. Brooks/Cole Thomson Learning, 2001 [link](https://digitalcommons.trinity.edu/mono/8/)
* Stephen L. Campbell and Richard Haberman, Introduction to differential equations with dynamical systems
* J.L.Brenner, Problems in DifferentialEquations(adapted from ”Problems in differential equations” by A.F.Filippov)
* S.G.Glebov, O.M.Kiselev, N.Tarkhanov. Nonlinear equations with small parameter. Volume I:Oscillations and resonances