GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DIFFERENTIAL EQUATIONS/MAT-201
Course Title: DIFFERENTIAL EQUATIONS
Credits 4 ECTS 5
Course Semester 3 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To understand the concept of differential equations
Learning the types of differential equations and solution methods
Learning to to model and solve engineering problems using differential equations
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Definition and classification of differential equations, First order ordinary differential equations, Separable differential equations
2. Week  Homogeneous differential equations Linear differential equations
3. Week  Bernoulli differential equations Exact differential equations
4. Week  Exact differential equations, Integrating factor for exact differential equations
5. Week  Secondhigh order ordinary differential equations Constant coefficient homogeneous differential equations
6. Week  Constant coefficient non-homogeneous differential equations
7. Week  Cauchy-Euler differential equations
8. Week  Midterm Exam, Variable coefficient differential equations, solution of variable coefficient differential equations by series
9. Week  Solution of variable coefficient differential equations by series, Bessel differential equation
10. Week  Systems of ordinary differential equation
11. Week  Systems of ordinary differential equation
12. Week  Numerical solution of ordinary differential equations
13. Week  Numerical solution of ordinary differential equations
14. Week  Partial differential equations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
51
 Assignment
1
9
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
14
2
28
 Reading Tasks
10
2
20
 Searching in Internet and Library
4
4
16
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
12
12
 Final Exam and Preperation for Final Exam
1
16
16
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
120
 TOTAL WORKLOAD / 25: 
4.8
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Professional and ethical responsibility gains knowledge.
2Ability to design experiments, conduct experiments, analyze and interpret the results of experiments.X
3The project-based work culture adopts workplace practices, awareness of employees health, environment and work safety; To train graduates with an awareness of the legal consequences of their engineering practices.
4Ability to select and use the techniques and modern tools necessary for engineering applications and computer software, information and communication technologies.
5To be aware of the problems of the age and awareness of entrepreneurship and innovation.
6Knowledge of the necessity of using information resources and lifelong learning, including developments in science and technology.X
7The breadth of education required to understand the effects of engineering solutions on universal and social dimensions.X
8Ability to communicate effectively with oral and written and technical drawings in Turkish and English.
9Professional and ethical responsibility.
10Defining and formulating engineering problems, and selecting and applying appropriate analytical methods and modeling techniques for this purpose.X
11Ability to work in their own discipline and in multi-disciplinary teams.
12The ability to design a system, part, or process that meets the desired requirements by considering realistic constraints and conditions.
13Ability to design experiments, conduct experiments, analyze and interpret the results of experiments.X
14Knowledge of mathematics, science and own branches and having sufficient knowledge in engineering subjects and knowledge of application skills.X
 -- NAME OF LECTURER(S)
   ( DEPARTMENT OF MATHEMATICS TEACHING STAFF)
 -- WEB SITE(S) OF LECTURER(S)
   (http://matematik.gazi.edu.tr/posts/view/title/akademik-kadro-16156?siteUri=matematik)
 -- EMAIL(S) OF LECTURER(S)
   (fefmatematik@gazi.edu.tr )