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

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0011 3 Differential Equations I 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) Professor Emel YAVUZ
Course Assistant(s) Res. Asst. Tuğba DAYMAZ
Schedule Wednesday 09:00-10:45; Thursday 09:00-10:45
Office Hour(s) Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques
Principle Sources Nagle, E. B. Saff, A. D. Snider, Diferansiyel Denklemlerin Temelleri, 8. Baskıdan Çeviri, Nobel Yayınları.

E. Boyce and R.C. DiPrima, Elementer Diferansiyel Denklemler ve Sınır Değer Problemleri, 10. Baskıdan Çeviri, Palme Yayıncılık.
Other Sources A. Dernek, N.Dernek, Diferansiyel Denklemler, Birsen Yayınları, 2001.
Course Schedules
Week Contents Learning Methods
1. Week 1. Introduction 1.1 Background 1.2 Solutions and Initial Value Problems Lecture and recitation
2. Week 2. First Order Differential Equations 2.2 Separable Equations Lecture and recitation
3. Week 2.3 Linear Equations Lecture and recitation
4. Week 2.4 Exact Equations 2.5 Special Integrating Factors Lecture and recitation
5. Week 2.6 Substitutions and Transformations Lecture and recitation
6. Week 4 Linear Second-Order Equations 4.2 Homogeneous Linear Equations: The General Solution Lecture and recitation
7. Week 4.3 Auxiliary Equations with Complex Rotts Lecture and recitation
8. Week 4.4 Nonhomogeneous Equations: The Method of Undetermined Coefficients 4.5 The Superposition Principle and Undetermined Coefficients Revisited Lecture and recitation
9. Week 4.6 Variation of Parameters Lecture and recitation
10. Week 4.7 Variable-Coefficient Equations Lecture and recitation
11. Week 6. Theory of Higher-Order Linear Differential Equations 6.1 Theory of Higher-Order Linear Differential Equations Lecture and recitation
12. Week 6.2 Homogeneous Linear Equations with Constant Coefficients Lecture and recitation
13. Week 6.3 Undetermined Coefficients and the Annihilator Method Lecture and recitation
14. Week 6.4 Method of Variation of Parameters Lecture and recitation
15. Week Final Exam
16. Week Final Exam
17. Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Quizzes 6 20
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-1Understanding the definition and classification of differential equations.
LO-2Understanding the solutions of differential equations and the concept of boundary value problems.
LO-3Analyzing and solving the first order differential equations.
LO-4Analyzing and solving the second order linear differential equations.
LO-5Analyzing and solving the higher order linear differential equations.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11