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

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0016 4 Differential Equations II 2/2/0 CC Turkish 5
Course Goals
 To teach students the basic concepts of differential equations and bring them to the level that they can use these concepts.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Assist. Prof. Dr. Nurşah Mutlu Varlıoğlı
Course Assistant(s) Res. Asst. Tuğba Daymaz
Schedule Tuesday 11:00-12:30, Thursday 13:00-14:30. İKÜ-CATS
Office Hour(s)
Teaching Methods and Techniques Lectures and applications
Principle Sources

R. Nagle, E. B. Saff, A. D. Snider, Diferansiyel Denklemlerin Temelleri, 8. Baskıdan Çeviri, Nobel Yayınları.
 

Other Sources W.E. Boyce and R.C. DiPrima, Elementer Diferansiyel Denklemler Ve Sınır Değer Problemleri, 10. Baskıdan Çeviri, Palme Yayıncılık.
Course Schedules
Week Contents Learning Methods
1. Week Laplace Transforms; Definition of the Laplace Transforms Lectures and applications
2. Week Properties of the Laplace Transform; Inverse Laplace Transform Lectures and applications
3. Week Solving Initial Value Problems; Convolution Lectures and applications
4. Week Series Solutions of Differential Equations; Power Series and Analytic Functions Lectures and applications
5. Week Power Series Solutions to Linear Differential Equations Lectures and applications
6. Week Equations with Analytic Coefficients Lectures and applications
7. Week Cauchy-Euler Equations Lectures and applications
8. Week Method of Frobenius Lectures and applications
9. Week Finding a Second Linearly Independent Solution Lectures and applications
10. Week Matrix Methods for Linear Systems Lectures and applications
11. Week Matrices and Vectors Lectures and applications
12. Week Linear Systems in Normal Form Lectures and applications
13. Week Homogeneous Linear Systems with Constant Coefficients Lectures and applications
14. Week Complex Eigenvalues Lectures and applications
15. Week Nonhomogeneous Linear Systems Lectures and applications
16. Week Final exam
17. Week Final exam
Assessments
Evaluation tools Quantity Weight(%)
Homework / Term Projects / Presentations 1 40
Final Exam 1 60


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-1Find the Laplace transform of a function by definition and by use of a table.
LO-2Find the inverse Laplace transform of a function.
LO-3Find the convolution of two functions and the transform of a convolution.
LO-4Solve initial value problems using the Laplace transform.
LO-5Solve a Cauchy-Euler Equation.
LO-6Identify ordinary and singular points.
LO-7Find power series solutions about ordinary and singular points.
LO-8Write a system in operator notation and solve by elimination.
LO-9Solve a homogeneous linear system by the eigenvalue method.
LO-10Solve a nonhomogeneous linear system by using different techniques.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11