Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / MAT667 - MATHEMATICS (DOCTORATE DEGREE)

Code: MAT667 Course Title: BOUNDARY VALUE PROBLEMS I Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 3rd Cycle Degree Programme
Type of Course Optional
Department MATHEMATICS (DOCTORATE DEGREE)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer SEYDİ BATTAL GAZİ KARAKOÇ (sbgkarakoc@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to introduce the basic methods of solution of boundary value problems including differential equations and boundary conditions.

Learning Outcomes PO MME
The students who succeeded in this course:
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
First order ordinary differential equations, Cauchy-Euler method, Existence and uniqueness theorem, Differential inequalities, Integral equations, Picard method and existence theorem, Complex valued equations, Linear differantial equations, Second order differantial equations, Boundary value problems, Eigenvalue problems.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 First order ordinary differential equations
2 The Cauchy-Euler method and proof of Existence and uniqueness theorem.
3 Differential inequalities
4 Integral equations
5 Systems and high order ordinary differential equations
6 Picard method and existence theory
7 Complex valued equations
8 mid-term exam
9 Linear differential equations
10 Second order differential equations
11 Wroskian identity
12 Boundary value problems
13 Eigenvalue problems
14 Eigenvalue problems
15 The number of solutions of a boundary value problem
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Numerical Solution of Partial Differential Equations Leon LAPIDUS and George F. PINDER. Numerical Solution of Partial Differential Equations: Finite Difference Methods G. D. Smith, Gordon D. Smith Numerical Solution of Partial Differential Equations K. W
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 5 14 70
       b) Search in internet/Library 2 14 28
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 4 4 16
mid-term exam 2 1 2
Own study for final exam 5 4 20
final exam 2 1 2
0
0
Total work load; 180