COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Theory of Finite Elements
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 667
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims to teach the method of finite elements which is one of the main tools for the numerical treatment of elliptic and parabolic partial differential equations. It is based on the variational formulation of the differential equation, it is much more flexible than finite difference methods and finite volume methods and thus be applied to more complicated problems.
Learning Outcomes The students who succeeded in this course;
  • To be able to explain RayleighRitz Method.
  • To be able to explain Lagrange basis functions in one dimensional problem.
  • To be able to define the relationship between finite elements and finite difference methods.
  • To be able to explain Hermit basis functions.
  • To be able to define rectangular and triangular finite elements.
  • To be able to explain Natural coordinates.
Course Description In this course variational formulation of boundary value problems, an introduction to Sobolev spaces and finite element concepts will be taught. Also includes classification of finite elements in onedimensional and twodimensional models.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Linear Interpolation The Finite Element Method: Its Basis and Fundamentals (Sixth edition) by O.C. Zienkiewicz, R.L.Taylor, J.Z. Zhu, 2005, Elsevier Butterworth Heinemann.
2 RayleighRitz Method A First Course in Finite Elements by Jacob Fish, Ted Belytschko, 2007, John Wiley & Sons Ltd.
3 General scheme for the method of finite elements.. The Finite Element Method: Its Basis and Fundamentals (Sixth edition) by O.C. Zienkiewicz, R.L.Taylor, J.Z. Zhu, 2005, Elsevier Butterworth Heinemann.
4 Partial linear Lagrange basis functions in one dimensional case. Formulation of global matrix. The Finite Element Method: Its Basis and Fundamentals (Sixth edition) by O.C. Zienkiewicz, R.L.Taylor, J.Z. Zhu, 2005, Elsevier Butterworth Heinemann.
5 Relationship between finite elements and finite difference methods. A First Course in Finite Elements by Jacob Fish, Ted Belytschko, 2007, John Wiley & Sons Ltd.
6 Second order (kind) Lagrange basis functions. Formulation of global matrix. A First Course in Finite Elements by Jacob Fish, Ted Belytschko, 2007, John Wiley & Sons Ltd.
7 Hermit basis functions. The Finite Element Method: Its Basis and Fundamentals (Sixth edition) by O.C. Zienkiewicz, R.L.Taylor, J.Z. Zhu, 2005, Elsevier Butterworth Heinemann.
8 Variational formulation of Laplace Boundary Value Problem. The Finite Element Method: Its Basis and Fundamentals (Sixth edition) by O.C. Zienkiewicz, R.L.Taylor, J.Z. Zhu, 2005, Elsevier Butterworth Heinemann..
9 First kind rectangular Lagrange finite elements. Varyasyonel Problemler ve  Sonlu Elemanlar Yöntemi, A. Hasanoğlu, Literatür Yanıncılık, İstanbul, 2001
10 First kind triangular finite element formulation. Varyasyonel Problemler ve  Sonlu Elemanlar Yöntemi, A. Hasanoğlu, Literatür Yanıncılık, İstanbul, 2001
11 Natural coordinates for one dimensional problems. Varyasyonel Problemler ve  Sonlu Elemanlar Yöntemi, A. Hasanoğlu, Literatür Yanıncılık, İstanbul, 2001
12 Natural coordinates for triangular finite elements. Varyasyonel Problemler ve  Sonlu Elemanlar Yöntemi, A. Hasanoğlu, Literatür Yanıncılık, İstanbul, 2001
13 Natural coordinates for rectangular finite elements. Varyasyonel Problemler ve  Sonlu Elemanlar Yöntemi, A. Hasanoğlu, Literatür Yanıncılık, İstanbul, 2001
14 Review of the semester
15 Review of the semester
16 Review of the semester
Course Notes/Textbooks The extracts above and exercises will be given.
Suggested Readings/Materials None

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
15
Presentation / Jury
Project
2
20
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
5
75
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
10
Presentation / Jury
Project
2
15
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
32
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To develop and deepen his/her knowledge on theories of mathematics and statistics and their applications in level of expertise, and to obtain unique definitions which bring innovations to the area, based on master level competencies,

X
2

To have the ability of original, independent and critical thinking in Mathematics and Statistics and to be able to develop theoretical concepts,

X
3

To have the ability of defining and verifying problems in Mathematics and Statistics,

X
4

With an interdisciplinary approach, to be able to apply theoretical and applied methods of mathematics and statistics in analyzing and solving new problems and to be able to discover his/her own potentials with respect to the application,

X
5

In nearly every fields that mathematics and statistics are used, to be able to execute, conclude and report a research, which requires expertise, independently,

X
6

To be able to evaluate and renew his/her abilities and knowledge acquired in the field of Applied Mathematics and Statistics with critical approach, and to be able to analyze, synthesize and evaluate complex thoughts in a critical way,

X
7

To be able to convey his/her analyses and methods in the field of Applied Mathematics and Statistics to the experts in a scientific way,

X
8

To be able to use national and international academic resources (English) efficiently, to update his/her knowledge, to communicate with his/her native and foreign colleagues easily, to follow the literature periodically, to contribute scientific meetings held in his/her own field and other fields systematically as written, oral and visual.

X
9

To be familiar with computer software commonly used in the fields of Applied Mathematics and Statistics and to be able to use at least two of them efficiently,

X
10

To contribute the transformation process of his/her own society into an information society and the sustainability of this process by introducing scientific, technological, social and cultural advances in the fields of Applied Mathematics and Statistics,

X
11

As having rich cultural background and social sensitivity with a global perspective, to be able to evaluate all processes efficiently, to be able to contribute the solutions of social, scientific, cultural and ethical problems and to support the development of these values,

X
12

As being competent in abstract thinking, to be able to connect abstract events to concrete events and to transfer solutions, to analyze results with scientific methods by designing experiment and collecting data and to interpret them,

X
13

To be able to produce strategies, policies and plans about systems and topics in which mathematics and statistics are used and to be able to interpret and develop results,

X
14

To be able to evaluate, argue and analyze prominent persons, events and phenomena, which play an important role in the development and combination of the fields of Mathematics and Statistics, within the perspective of the development of other fields of science,

X
15

In Applied Mathematics and Statistics, to be able to sustain scientific work as an individual or a group, to be effective in all phases of an independent work, to participate decision-making process and to make and execute necessary planning within an effective time schedule.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest