Undergraduate
Faculty of Science and Letters
Mathematics And Computer Science
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Differential Equations

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MBT1005 1 Differential Equations 4/0/0 BSC Turkish 6
Course Goals
  Teaching differential equation techniques required for engineering problems.
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Professor Emel YAVUZ, Assist. Prof. Dr. Canan Akkoyunlu
Course Assistant(s) None
Schedule Thursday 11:00-12:30 B1-5, Thursday13:00-14:30 B1-4;
Office Hour(s) Thursday 15:00-16:00
Teaching Methods and Techniques -Lecture and applications
Principle Sources W.E. Boyce, R.C. DiPrima, Elementer Diferansiyel Denklemler ve Sınır Değer Problemleri, Çev., M. Uğuz, Ç. Ürtiş, 10. Baskıdan Çeviri, Palme Yayıncılık, 2016. 
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction; Classification of Differential Equations, Linear Equations; Method of Integrating Factors; Variation of Parameters Lecture and applications
2. Week Separable Differential Equations; Homogeneous Equations; Exact Equations and Integrating Factors; The Existence and Uniqueness Theorem Lecture and applications
3. Week Second-Order Linear Differential Equations; Homogeneous Equations with Constant Coefficients, Solutions of Linear Homogeneous Equations; the Wronskian Lecture and applications
4. Week Complex Roots of the Characteristic Equation; Repeated Roots; Reduction of Order Lecture and applications
5. Week Nonhomogeneous Equations; Method of Undetermined Coefficients, Variation of Parameters Lecture and applications
6. Week Higher-Order Linear Differential Equations; General Theory of nth Order Linear Equations; Homogeneous Equations with Constant Coefficients Lecture and applications
7. Week The Method of Undetermined Coefficients; The Method of Variation of Parameters Lecture and applications - Midterm Exam
8. Week The Laplace Transform; Definition of the Laplace Transform; Solution of Initial Value Problems Lecture and applications
9. Week System of First-Order Linear Equations; Review of Matrices; Systems of Linear Algebraic Equations; Linear Independence, Eigenvalues, Eigenvectors Lecture and applications
10. Week Basic Theory of Systems of First Order Linear Equations; Homogeneous Linear Systems with Constant Coefficients; Complex Eigenvalues Lecture and applications
11. Week Fundamental Matrices, Repeated Eigenvalues, Nonhomogeneous Linear Systems Lecture and applications
12. Week Series Solution of Second-Order Linear Equations; Series Solutions Near an Ordinary Point Lecture and applications
13. Week Euler Equations; Regular Singular Points Lecture and applications
14. Week Series Solutions Near a Regular Singular Point Lecture and applications
15. Week Final Exam Exam
16. Week Final Exam Exam
17. Week Final Exam Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 60
Final Exam 1 40


Program Outcomes
PO-1Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7Using time effectively in inventing solutions by implementing analytical thinking.
PO-8Understanding professional ethics and responsibilities.
PO-9Having the ability to behave independently, to take initiative, and to be creative.
PO-10Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1Understands the solutions of some types of differential equations and identifies the classification of differential equations.
LO-2Express linear equations, integration factor, seperable differential equations, exact differential equation and the method of integration factor
LO-3Understands the Eulers method and interprets the Existence and Uniqueness Theorem
LO-4Understands the homogenuous equations with constant coefficeients and express the solutions of linear homogenuous equations by using the Wronskian.
LO-5Describes complex roots and repeated roots of the characterictic equation and interprets the order reducing method
LO-6Understands the non-homogenuous differential equations, the method of undetermined coefficients and the method of variation of parameters
LO-7Understands the general theory of high-order differential equations
LO-8Understands the series solutions near an ordinary point and applies it to Euler equations. Express regular singular points.
LO-9Understands the series solutions near a regular singular point
LO-10Express the Laplace transform and explains the solutions of initial value problems
LO-11Explains the fundamental theory of first order linear differential equations, understands systems of homogenuous linear differential equations and applies comlex eigenvalues.
LO-12Understands the fundamental matrices, repeted eigenvalues and systems of non-homogenuous linear differential equations.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11