BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
MT304BDifferential EquationsCompulsory364
Level of Course Unit
First Cycle
Objectives of the Course
To supply the candidate teachers knowledge about contemporary teaching methods and techniques in science and technology teaching courses. To provide opportunity of using teaching materials or activities which are prepared suitable for these methods and techniques with sample course presentations.
Name of Lecturer(s)
Prof. Dr. Rabil AYAZOĞLU
Learning Outcomes
1Explain the concept of differential equation
2Categorise differential equatons
3Solve initial value problems, first degree linear differential equations
4Solve homogeneous and complete differential equations.
5Solve differential equations which are in the type of Bernoulli
6Solve Riccati and high grade differential equations.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
The concept of differential equation, the classification of the differential equations, Initial value problems, general solutions, Separable differential equations, homogeneous equations, the equations that can be turned into the homogeneous state, total differential equations, the equations that can be turned into the integration multipliers and the total differential equations, primary linear differential equations, Bernoulli and Riccati-type differential equations. Primary high-level equations, secondary level equations not including any one of the variables, the applications of the secondary level differential equations. High-level differential equations and linear differential equations and their solutions.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1The concept of differential equation, the classification of the differential equations
2First order differential equations,existance and uniquieness of solutions,slope fields and solution curves
3Initial value problems, general solutions, Separable Differential equations
4Seperable equations and applications, linear First order equations,Bernoulli equations
5Solution of some nonlinear differential equations,clairaut equations
6Solution of some nonlinear differential equations,clairaut equations
7Mathematical models,population models,equlibrium solutions and stability
8Reduction of order,linear equations of higher order,introduction to second order linear equations
9Midterm exam
10Reduction of order,linear equations of higher order,introduction to second order linear equations
11General solutions of linear equations,homogeneous equations with constant coefficients,some applications,nonhomogeneous equations
12General solutions of linear equations,homogeneous equations with constant coefficients,some applications,nonhomogeneous equations
13Undetermined coefficient and variation of parameters methods,Cauchy Euler equations
14Undetermined coefficient and variation of parameters methods,Cauchy Euler equations
15Application of higher order equations,end point problems and eigenvalues
16Final Exam
Recommended or Required Reading
1. Doç. Dr. İrfan Baki YAŞAR, Diferensiyel Denklemler ve uygulamaları 2. Prof. Dr. H. Hilmi HACISALİHOĞLU, Diferensiyel Denklemler(Çeviri)
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14342
Self Study414
Individual Study for Mid term Examination6636
Individual Study for Final Examination6636
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
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1
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9
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10
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High