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 Elective Courses 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
Major Area Courses X
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 understand and apply knowledge in the fields of mathematics, science and basic sciences at the level of expertise. X
2 Gains the ability to access wide and deep knowledge in the field of Engineering by doing scientific research with current techniques and methods, evaluate, interpret and implement the gained knowledge. X
3 Being aware of the latest developments his/her field of study, defines problems, formulates and develops new and/or original ideas and methods in solutions. X
4 Designs and applies theoretical, experimental, and model-based research, analyzes and interprets the results obtained at the level of expertise. X
5 Gains the ability to use the applications, techniques, modern tools and equipment in his/her field of study at the level of expertise. X
6 Designs, executes and finalizes an original work process independently. X
7 Can work in interdisciplinary and interdisciplinary teams, lead teams, use the information of different disciplines together and develop solution approaches. X
8 Pays regard to scientific, social and ethical values in all professional activities and acquires responsibility consciousness at the level of expertise. X
9 Contributes to the literature by communicating the processes and results of his/her academic studies in written form or orally in national and international academic environments, communicates effectively with communities and scientific staff working in the field of specialization. X
10 Gains the skill of lifelong learning at the level of expertise. X
11 Communicates verbally and in written form using a foreign language at least at the European Language Portfolio B2 General Level. X
12 Recognizes the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, being aware of the limitations they place on engineering applications. 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