ECTS - Introduction to Finite Element Analysis

Introduction to Finite Element Analysis (AE417) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Finite Element Analysis AE417 2 2 0 3 5
Pre-requisite Course(s)
ME 210 and MATH 276
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Instructor Dr. Staff
Course Assistants
Course Objectives This course deals with a formulation, programming (MATLAB), and application of finite element method (FEM). The course material is organized for 1D, 2D, and 2D beams.
Course Learning Outcomes The students who succeeded in this course;
  • find out stress and strain fields using FEM for a given geometry and boundary conditions in 1D
  • determine deformation fields for a truss structure analytically and using FEM
  • find out stress and strain fields using FEM for a given geometry and boundary conditions in 2D and 2D beams
Course Content Solving partial differential equations of mechanics numerically; fundamentals of the finite element method including weak form, shape functions, iso-parametric approximation, Gauss quadrature, element types, assembly operation, sparsity pattern with application to 2D problems; self-written finite element code in MATLAB; computational simulations of elastic materials and stress analysis using the MATLAB code; domain discretization, pre-processing and post-processing aspects.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Understanding finite elements through springs combinations Lecture notes and presentations on Moodle website
2 Truss elements and assembly of 1D objects in 2D and 3D space
3 Programming assembly of truss structures
4 Strong form, weak form, energy minimization
5 Approximation using shape functions
6 Integration via Gauss quadrature
7 Formulation of FEM in 1D adopting iso-parametric concept
8 Programming 1D FE code
9 Strong and weak form for 2D problems
10 Domain discretization in 2D and pre-processing
11 Derivation of shape functions and Gauss quadrature in 2D
12 Formulation of FEM in 2D adopting isoparametric concept
13 Programming 2D FE code
14 Post-processing and visualization aspects


Course Book 1. A First Course in Finite Elements, Jacob Fish and Ted Belytschko, 2007, Wiley.
2. Introduction to Finite Element Analysis Using MATLAB and Abaqus, Amar Khennane, 2013 by Taylor & Francis Group, LLC.
3. MATLAB Codes Element Analysis for Finite Solids and Structures, A.J.M. Ferreira, Universidade do Porto Portugal.
4. Concepts and Applications of Finite Element Analysis, Robert D. Cook et al., 2001, Wiley.
5. The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, Thomas J. R. Hughes, 2000, Dover.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 5
Application 10 15
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 10 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 30
Toplam 24 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. X
2 The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines.
6 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually.
7 (a) Sözlü ve yazılı etkin iletişim kurma becerisi; etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. (b) En az bir yabancı dil bilgisi; bu yabancı dilde etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi.
8 Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously.
9 Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10 Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
11 Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices.
12 (a) Knowledge of (i) fluid mechanics, (ii) heat transfer, (iii) manufacturing process, (iv) electronics and control, (v) vehicle components design, (vi) vehicle dynamics, (vii) vehicle propulsion/drive and power systems, (viii) technical laws and regulations in automotive engineering field, and (ix) vehicle verification tests. (b) The ability to merge and apply these knowledge in solving multi-disciplinary automotive problems. X
13 The ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field. X
14 The ability to work in the field of vehicle design and manufacturing.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 2 28
Laboratory 14 2 28
Application 10 2 20
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Homework Assignments 10 3 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 5 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 126