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 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
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
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

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