ECTS - Numerical Methods in Heat Transfer

Numerical Methods in Heat Transfer (ME635) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Numerical Methods in Heat Transfer ME635 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The purpose of the course is to find the roots of equations, to perform numerical integration and diferentiation, to solve nonlinear equation systems, to solve ordinary and partial differential equations and to use numerical methods for the solutions of some differential equations used in heat transfer and to find the fitting curve to the available numerical data with the least squares method.
Course Learning Outcomes The students who succeeded in this course;
  • 1. Learning of the basic characteristics of numerical methods in heat transfer and applications of methods. 2. Learning and applications of methods used for the solution of heat transfer problems. 3. Solution of engineering problems by commercial software.
Course Content The determination of the roots of equations numerically, solving nonlinear equation systems numerically, numerical integration, using finite difference methods for differential calculations, solving ordinary differential equations numerically, applying finite difference method to heat transfer applications, least squares method.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Numerical Methods in Engineering
2 Introduction to Numerical Methods in Engineering
3 Basic Principles of Computational Fluid Dynamics.
4 Basic Equations of Momentum and Energy Equations.
5 Basic Equations of Momentum and Energy Equations.
6 Clasification of Partial Differential Equations.
7 Determination of the roots of equations numerically
8 Numerical integration
9 Solving equation systems numerically
10 Finite Difference Method.
11 Applying finite difference method to heat transfer applications
12 Applying finite difference method to heat transfer applications
13 Applying finite difference method to heat transfer applications
14 Introduction to Commercial CFD Softwares and Applications.

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project 1 10
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 30
Toplam 8 100
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 expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional 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 4 5 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 6 12
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 94