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
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