ECTS - Finite Element Analysis of Solids and Fluids I

Finite Element Analysis of Solids and Fluids I (ME684) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Finite Element Analysis of Solids and Fluids I ME684 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objectives of this course are to teach students the Finite Element Method (FEM) and to convey the basic ideas on which the method is founded upon. The basic principles as well as the programming aspects of the method with applications in solids and fluids will be presented in a unified manner so that the students with diverse backgrounds can later apply the method to problems of their individual interests. The students will be asked to complete a project involving an aspect of the finite element method in an area of their interest. The topics must be computational and may be selected from different disciplines.
Course Learning Outcomes The students who succeeded in this course;
Course Content Concepts of finite element analysis such as principle of virtual work, finite element solution procedures, heat transfer analysis, finite element analysis of solids, fluids and structures.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 14 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 8 25
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury 1 30
Toplam 23 60
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 An ability to apply advanced knowledge in computational and/or manufacturing technologies to solve manufacturing engineering problems X
2 An ability to define and analyze issues related with manufacturing technologies X
3 An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment X
4 An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints X
5 An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications X
6 Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering X
7 An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly X
8 An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually X
9 An ability to attain efficient communication skills in Turkish and English both verbally and orally X
10 An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology X
11 An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering X
12 An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development X
13 An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 8 5 40
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 141