ECTS - Finite Element Analysis of Solids and Fluids II

Finite Element Analysis of Solids and Fluids II (ME685) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Finite Element Analysis of Solids and Fluids II ME685 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
Course Content Advanced concepts of finite element analysis such as solution methods and stability, nonlinear strain and stress measures, large deformations, iteration methods and path following techniques and coupled field problems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 0 0
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 Gains the ability to analytically solve advanced engineering problems defined mathematically. X
2 Gains the ability to numerically solve advanced engineering problems defined mathematically. X
3 Gains the ability to effectively use technology and literature in the field of civil engineering research.
4 Gains the ability to conduct qualified research in civil engineering and to publish scientific articles in conferences and journals in the area.
5 Gains the ability to design and conduct theoretical, experimental, and modeling-based research, and to analyze and solve complex problems encountered in these processes. X
6 Gains the ability to complete and apply knowledge using scientific methods with uncertain, limited, or incomplete data, and to integrate knowledge from different disciplines. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0