Information Package / Course Catalogue
ME 473 Computer Aided Engineering
MEF University
Degree Programs
Psychology
General Information For Students
Diploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Engineering
Course Code ME 473
Course Title in English Computer Aided Engineering
Course Title in Turkish Bilgisayar Destekli Mühendislik
Language of Instruction EN
Type of Course Exercise,Ters-yüz öğrenme,Lecture
Level of Course Orta
Semester Spring,Fall
Contact Hours per Week
Lecture: 3 Recitation: None Lab: None Other: None
Estimated Student Workload 155 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To acquire a basic knowledge and understanding of important concepts of stress and deformation analysis by using linear and non-linear finite element methods, including material and geometric nonlinearity in the design of a machine, or its system, subsystem and components.
Course Description This course provides a comprehensive analysis of stress and deformation by using linear and non-linear finite element methods in the design of a machine, or its system, subsystem and components. The following topics are covered: Finite element modeling techniques of engineering problems in the design of a machine or its components. Linear static analysis for shell and solids structures, non-linear static analysis, plasticity, contact problems and large deformations and buckling. Dynamic loading conditions, frequency response analysis, natural frequency extraction and impact problems.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Analyze stress and deformations for shell and solid structures in linear static loading conditions by using finite element software;
2) Analyze stress and deformations for shell and solid structures in non-linear static loading conditions including material and geometric nonlinearity, and large deformations;
3) Analyze natural frequencies of a structure and stresses associated with frequency response and modal dynamic analysis;
4) Analyze dynamic loading conditions for structures and associated impact problems by using explicit analysis tools;
5) Solve complex engineering problem by modeling in FE software and interpret relevant important results in the project report;
6) Prepare HW and project report to communicate effectively with range of audiences;
7) Ability to recognize ethical and professional responsibility in computer simulation and make informed judgements for interpreting the computer results;
8) Ability to acquire and apply new knowledge as needed in computer simulations.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,Homework,Derse Katılım
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Derse Katılım
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S Homework,Derse Katılım
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,Homework
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,Homework
Prepared by and Date ALİ ÇINAR , March 2024
Course Coordinator ALİ ÇINAR
Semester Spring,Fall
Name of Instructor Assoc. Prof. Dr. ALİ ÇINAR

Course Contents

Week Subject
1) Finite Element Method (FEM). Theoretical background
2) Type of elements. 1D (bar and spring) elements, 2D shell elements, 3D solid elements (hexa, penta and tetra)
3) Preparing Finite Element Assembly (FE) Model with bolt, spot-weld connectors
4) Linear Static Stress Analysis. Solving Problems. Stresses and Deformations
5) Linear Static Stress Analysis. Solving Problems. Stresses and Deformations
6) Non-Linear Static Stress Analysis, Material and Geometric Non Linearity. Large Deformations, Nonlinear Buckling and other Engineering Applications
7) Non-Linear Static Stress Analysis, Material and Geometric Non Linearity. Large Deformations, Nonlinear Buckling and other Engineering Applications
8) Natural Frequency of the Structures. Frequency Response Analysis
9) Frequency Response Analysis
10) Explicit Dynamics Analysis. Time Dependent Loads
11) Explicit Dynamics Analysis. Impact Problems
12) Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report
13) Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report
14) Final project: Real Engineering Problem Modeled with FEM, and Analyzed under Various Loading Conditions, Results and Conclusions are Submitted in a Report
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsAbaqus 6.14 Documentation Bs SIMULIA, http://abaqus.software.polimi.it/v6.14/index.html
Teaching MethodsLectures/contact hours using computer for modeling and simulations
Homework and ProjectsHome works and Final Project will be given as an teaching method
Laboratory WorkNone
Computer UseComputer will be used to prepare and run FE model. Home works and Final Projects will be done in computer.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Laboratory 14 % 10
Homework Assignments 4 % 50
Final Examination 1 % 40
TOTAL % 100
Course Administration cinara@mef.edu.tr
0536-704-0245
Instructor’s office and phone number: 5th Floor 543 Office hours: Thursday/Friday 13:00 – 14:00 Email address: cinara@mef.edu.tr Rules for attendance: Classroom practice contributes to 10% of the final grade. Missing Homework: Provided that proper documents of excuse are presented, each missed HW by the student, late submission will be accepted until the end of semester. Missing a Final Project: Provided that proper documents of excuse are presented, each missed final project by the student, late submission will be accepted until the final exam period. Missing a final: No final Exam. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://www.mef.edu.tr/icerikler/files/lisans_onlisans_yonetmelik%20(1.pdf)

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Project 1 1 20 20 41
Homework Assignments 4 1 4 6 44
Total Workload 155
Total Workload/25 6.2
ECTS 6