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 Ph.D.
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
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 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