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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
DIFFERENTIAL EQUATIONSCOE2114258Fall Semester2+024
Course Program

( B ) Perşembe 16:30-17:15

( B ) Perşembe 17:30-18:15

( A ) Cuma 16:30-17:15

( A ) Cuma 17:30-18:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Cihan Bilge KAYASANDIK
Name of Lecturer(s)Assist.Prof. Cihan Bilge KAYASANDIK, Assist.Prof. Seçil TUNALI ÇIRAK
Assistant(s)
AimTo provide the recognition of differential equations and to give solution techniques and to give also its applications for the study of Engineering. To provide supports on studies and researches in the area of Engineering.
Course ContentThis course contains; Preliminaries/Differential Equations,Definitions and Terminology, Initial-Value Problems ,Methods of Solving First Order Differential Equations: Separable Differential Equations,Linear Differential Equations,Exact Differential Equations, Making non-exact Differential Equations to Exact,Solutions by Substitutions ,Differential Equations as Mathematical Models, Linear Models ,Preliminaries: Higher Order Linear Differential Equations,Methods of Solving Higher Order Linear Differential Equations: Reduction of Order,Homogeneous Linear Equations with Constant Coefficients,Undetermined Coefficients—Superposition and Annihilator Approaches,Variation of Parameters and Cauchy-Euler Differential Equations,Definition of the Laplace Transform, Inverse Transforms,Transforms of Derivatives and Solving Initial Value Problems from Laplace Transform.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
2.Apply the methods for solving first-order differential equations. 12, 14, 6, 9A
1. Recognize the classification of differential equations, solutions of differential equations, systems of differential equations, initial value problems and apply Existence and Uniqueness Theorem for first-order differential equations.12, 14, 6, 9A
3. Recognize and solve differential equations as mathematical models and higher-order linear differential equations and apply Existence and Uniqueness Theorem for higher-order equations. 12, 14, 6, 9A
4. Recognize linearly dependent and independent solutions and Wronskian and apply the methods for solving higher-order linear differential equations.12, 14, 6, 9A
5. Solve Cauchy-Euler differential equations and calculate initial value problems by Laplace transforms.12, 14, 6, 9A
Teaching Methods:12: Problem Solving Method, 14: Self Study Method, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Preliminaries/Differential EquationsBook Chapter 1.1
2Definitions and Terminology, Initial-Value Problems Book Chapters 1.1, 1.2
3Methods of Solving First Order Differential Equations: Separable Differential EquationsBook Chapter 2.2
4Linear Differential EquationsBook Chapter 2.3
5Exact Differential Equations, Making non-exact Differential Equations to ExactBook Chapter 2.4
6Solutions by Substitutions Book Chapter 2.5
7Differential Equations as Mathematical Models, Linear Models Book Chapters 1.3, 3.1
8Preliminaries: Higher Order Linear Differential EquationsBook Chapter 4.1
9Methods of Solving Higher Order Linear Differential Equations: Reduction of OrderBook Chapter 4.2
10Homogeneous Linear Equations with Constant CoefficientsBook Chapter 4.3
11Undetermined Coefficients—Superposition and Annihilator ApproachesBook Chapters 4.4, 4.5
12Variation of Parameters and Cauchy-Euler Differential EquationsBook Chapters 4.6, 4.7
13Definition of the Laplace Transform, Inverse TransformsBook Chapters 7.1, 7.2
14Transforms of Derivatives and Solving Initial Value Problems from Laplace TransformBook Chapter 7.2
Resources
Dennis G. Zill - A First Course in Differential Equations with Modeling Applications 11th Edition.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. An ability to apply knowledge of mathematics, science, and engineering
X
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving14114
Resolution of Homework Problems and Submission as a Report14342
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam6212
General Exam6212
Performance Task, Maintenance Plan000
Total Workload(Hour)122
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(122/30)4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
DIFFERENTIAL EQUATIONSCOE2114258Fall Semester2+024
Course Program

( B ) Perşembe 16:30-17:15

( B ) Perşembe 17:30-18:15

( A ) Cuma 16:30-17:15

( A ) Cuma 17:30-18:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Cihan Bilge KAYASANDIK
Name of Lecturer(s)Assist.Prof. Cihan Bilge KAYASANDIK, Assist.Prof. Seçil TUNALI ÇIRAK
Assistant(s)
AimTo provide the recognition of differential equations and to give solution techniques and to give also its applications for the study of Engineering. To provide supports on studies and researches in the area of Engineering.
Course ContentThis course contains; Preliminaries/Differential Equations,Definitions and Terminology, Initial-Value Problems ,Methods of Solving First Order Differential Equations: Separable Differential Equations,Linear Differential Equations,Exact Differential Equations, Making non-exact Differential Equations to Exact,Solutions by Substitutions ,Differential Equations as Mathematical Models, Linear Models ,Preliminaries: Higher Order Linear Differential Equations,Methods of Solving Higher Order Linear Differential Equations: Reduction of Order,Homogeneous Linear Equations with Constant Coefficients,Undetermined Coefficients—Superposition and Annihilator Approaches,Variation of Parameters and Cauchy-Euler Differential Equations,Definition of the Laplace Transform, Inverse Transforms,Transforms of Derivatives and Solving Initial Value Problems from Laplace Transform.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
2.Apply the methods for solving first-order differential equations. 12, 14, 6, 9A
1. Recognize the classification of differential equations, solutions of differential equations, systems of differential equations, initial value problems and apply Existence and Uniqueness Theorem for first-order differential equations.12, 14, 6, 9A
3. Recognize and solve differential equations as mathematical models and higher-order linear differential equations and apply Existence and Uniqueness Theorem for higher-order equations. 12, 14, 6, 9A
4. Recognize linearly dependent and independent solutions and Wronskian and apply the methods for solving higher-order linear differential equations.12, 14, 6, 9A
5. Solve Cauchy-Euler differential equations and calculate initial value problems by Laplace transforms.12, 14, 6, 9A
Teaching Methods:12: Problem Solving Method, 14: Self Study Method, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Preliminaries/Differential EquationsBook Chapter 1.1
2Definitions and Terminology, Initial-Value Problems Book Chapters 1.1, 1.2
3Methods of Solving First Order Differential Equations: Separable Differential EquationsBook Chapter 2.2
4Linear Differential EquationsBook Chapter 2.3
5Exact Differential Equations, Making non-exact Differential Equations to ExactBook Chapter 2.4
6Solutions by Substitutions Book Chapter 2.5
7Differential Equations as Mathematical Models, Linear Models Book Chapters 1.3, 3.1
8Preliminaries: Higher Order Linear Differential EquationsBook Chapter 4.1
9Methods of Solving Higher Order Linear Differential Equations: Reduction of OrderBook Chapter 4.2
10Homogeneous Linear Equations with Constant CoefficientsBook Chapter 4.3
11Undetermined Coefficients—Superposition and Annihilator ApproachesBook Chapters 4.4, 4.5
12Variation of Parameters and Cauchy-Euler Differential EquationsBook Chapters 4.6, 4.7
13Definition of the Laplace Transform, Inverse TransformsBook Chapters 7.1, 7.2
14Transforms of Derivatives and Solving Initial Value Problems from Laplace TransformBook Chapter 7.2
Resources
Dennis G. Zill - A First Course in Differential Equations with Modeling Applications 11th Edition.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. An ability to apply knowledge of mathematics, science, and engineering
X
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:50Son Güncelleme Tarihi: 09/10/2023 - 10:51