Faculty Of Engıneerıng
Computer And Software Engıneerıng

Course Information

DIFFERENTIAL EQUATIONS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
MAT203 Fall 4 0 4 5

Prerequisites and co-requisites MAT 104 Mathematics II
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Çağdaş ALLAHVERDİ
Mode of Delivery Face to Face
Suggested Subject None
Professional practise ( internship ) None
Objectives of the Course The objectives of this course are to introduce the student with the concept of a differential equation, basic techniques for solving certain classes of differential equations, especially those which are linear, and making connections between the qualitative features of the equation and the solutions. Connections to problems from the physical world are emphasized. As well as ordinary differential equations, the course aims to introduce the students to certain partial differential equations.
Contents of the Course First order equations and various applications. Higher order linear differential equations. Power series solutions. The Laplace transform. Solutions of initial value problems. Systems of linear differential equations. Introduction to partial differential equations.

Learning Outcomes of Course

# Learning Outcomes
1 Apply mathematics, science and engineering knowledge and experience to real world problems.
2 Design and execute experiments and analyze the results.
3 Identify engineering problems and suggest solutions.
4 Express himself freely and develop new ideas through communication.
5 Have the ability of time management and plan his professional development.
6 Perform his job willingly and in service of community.
7 Work with professional and ethical responsibility for the benefit of humanity.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Definitions, terminology and initial value problems Lecturing
2 First order differential equations: separable and linear equations Lecturing
3 First order differential equations: exact equations Lecturing
4 Modeling with first order differential equations: linear equations Lecturing
5 Modeling with first order differential equations: nonlinear equations Lecturing
6 Higher order differential equations: reduction of order, homogeneous linear equations, superposition and annihilator appr. Lecturing
7 Modeling with higher order differential equations: spring-mass systems, series circuit analogue etc. Lecturing
8 Midterm Exam Exam
9 Series solutions of linear equations Lecturing
10 Matrix notation of differential equations Lecturing
11 Laplace transform Lecturing
12 Homogeneous linear systems Lecturing
13 Nonhomogeneous linear systems Lecturing
14 Numerial solutions of ordinary differential equations: Euler methods Lecturing
15 Numerial solutions of ordinary differential equations: Runge-Kutta method Lecturing
16 Final Exam Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 Dennis G. Zill, A First Course in Differential Equations with Modeling Applications, 10th Edition, ISBN-13: 978-1-111-82705-2 ISBN-10: 1-111-82705-2, 2012.

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Apply mathematics, science and engineering knowledge and experience to real world problems. 1 1͵2
2 Design and execute experiments and analyze the results. 1 1͵2
3 Identify engineering problems and suggest solutions. 1 1͵2
4 Express himself freely and develop new ideas through communication. 1 1͵2
5 Have the ability of time management and plan his professional development. 1 1͵2
6 Perform his job willingly and in service of community. 1 1͵2
7 Work with professional and ethical responsibility for the benefit of humanity. 1 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 4 56
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 4 56
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 0 0 0
8 Midterm Exam 1 3 3
9 Quiz 0 0 0
10 Homework 4 8 32
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 0 0 0
16 Final Exam 1 3 3
  150