Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DIFFERENTIAL EQUATIONS MTH0211 3. Semester 3 + 0 3.0 5.0

Prerequisites None

Language of Instruction English
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Gizem SEYHAN ÖZTEPE
Assistants
Goals The aim of this lecture is to give the students the knowledge on the solution methods of differential equations, modelling and solving real life problems.
Course Content Classification and construction differential equations, initial and boundary value problems, first order equations, homogeneous differential equations, exact differential equations, integrating factor, linear differential equations, Bernoulli and Riccati equations, applications of first order differential equations, linear homogeneous equations with constant coefficients, operator method, the method of undetermined coefficients, the method of variation of parameters, Euler differential equations
Learning Outcomes 1) Classifies differential equations. Solves homogen differential equations and exact differential equations.
2) Defines differential equation
3) Differential equations are defined and classified.
4) First-order equations are solved.
5) Determines the degree and order of differential equations
6) Knows the linear equations, Bernoulli and Riccati equations.
7) Classifies differential equations and gives the solution methodsof differential equations
8) Finds general solutions of higher order linear homogeneous equations with constant coefficients.
9) Shows the existence and uniqueness of solutions of initial value problems.
10) Some nature problems are modeling and solutions of them are interpreted.
11) Second and higher order, linear equations with constant coefficients are solved.
12) Solves seperable, homogeneous, exact differential equations, evaluates the integrating factor.
13) Calculates particular solutions by using undetermined coefficient method, operator method and variation of parameters method.
14) Evaluates the analytical solutions of given differential equations
15) Explains physical and chemical facts using the solutions of differential equations
16) Solves linear, Bernoulli, Riccati differential equations.
17) Calculates general solutions of higher order linear differential equations with variable coefficients and general solutions of nonlinear equations.
18) Solves linear, Bernoulli, Riccati differential equations.
19) Spring-mass systems are modeling and solved.
20) Laplace transforms are defined.
21) Has the knowledge on the applications of first order differential equations.
22) Solves systems of differential equations and equations by applying Laplace transformations.
23) Has the knowledge on the applications of first order differential equations.
24) Solves the higher order, constant coefficient linear homogeneous differential equation
25) Linear differential equations are solved with the help of Laplace transforms.
26) Knows operator method, the method of undetermined coefficients and the method of variation of parameters
27) Solves higer order, constant coefficient linear non-homogeneous differential equations
28) Solves Euler differential equations

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Definition of differential equations, degree and order concepts Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
2. Week Construction of differential equations, initial/boundary value problems, existence/uniqueness theorems Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
3. Week First order differential equations, Seperable equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
4. Week Homogeneous differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
5. Week Exact differential equations, integrating factor Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
6. Week Linear differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
7. Week Bernoulli differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
8. Week Bernoulli diferential equation Lecture
Brainstorming
Homework
9. Week Riccati differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
10. Week Applications of first order differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
11. Week Higer order, constant coefficient linear homogeneous differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
12. Week Operator method, the method of undetermined coefficients Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
13. Week The method of variation of parameters Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework
14. Week Euler differential equations Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning; Brain Based Learning
Homework

Sources Used in This Course
Recommended Sources
G.F. Simmons, Differential Equations, Tota McGraw-Hill Publ. , New Delhi, 1989
C.H. Edwards, D.E. Penney, Differential Equation sand Boundary Value Problems: Computing and Modeling, 2008 R. Bronson, Differential Equation, McGraw- Hill Book Comp., 1973 R. Bronson, G. Costa, Schum's outline of Differential equations 3rd ed. , 2009
Hüseyin BEREKETOĞLU, Diferensiyel Denklemler, Nobel, 2021
S.L.Ross, Differential equation, John Willey and Sons, London, 1974

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9DK10DK11DK12DK13DK14DK15DK16DK17DK18DK19DK20DK21DK22DK23DK24DK25DK26
PY1555555555555555555555555555
PY2500000000000000000000000000
PY3500000000000000000000000000
PY4500000000000000000000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 25
Final Exam 1 2
Time to prepare for Final Exam 1 40
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information