ECTS - Computational Fluid Mechanics

Computational Fluid Mechanics (ME625) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computational Fluid Mechanics ME625 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 Face To Face
Learning and Teaching Strategies Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives A graduate course in the formulation and application of numerical methods for solving fluid flow problems.
Course Learning Outcomes The students who succeeded in this course;
  • Learning of the basic characteristics of numerical methods in Fluid Mechanics.Learning the programming of methods to different types of one- and multi-dimensional flow problems
Course Content The formulation and application of numerical methods for solving fluid flow problems; classification of partial differential equations and formulation of well-posed problems; discrete approximation of partial differential equations: stability, consistency, and convergence; survey of methods for solving hyperbolic, elliptic, and parabolic problems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction
2 Numerical Methods
3 Classification of partial differential equations
4 Formulation of well-posed problems
5 Discrete approximation of partial differential equations
6 Survey of methods for solving hyperbolic, elliptic, and parabolic problems.
7 Governing equations of fluid dynamics.
8 Finite-difference, finite-volume and finite-element formulations.
9 Finite-difference, finite-volume and finite-element formulations.
10 Finite-difference, finite-volume and finite-element formulations.
11 Applications and programming
12 Applications and programming
13 Applications and programming
14 Applications and programming

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 6 30
Presentation - -
Project 1 10
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 30
Toplam 10 100
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 Ability to carry out advanced research activities, both individual and as a member of a team X
2 Ability to evaluate research topics and comment with scientific reasoning X
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics X
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions X
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems X
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level X
7 Contribute scientific and technological advancements on engineering domain of his/her interest area X
8 Contribute industrial and scientific advancements to improve the society through research activities 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
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 6 6 36
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 7 14
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 112