COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Numerical Methods in Mechanical Engineering
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ME 415
Fall/Spring
2
2
3
5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of this course is to comprehend the basic concepts of numerical methods that can be applied to engineering problems related to static, dynamic, thermodynamics, fluid mechanics and heat transfer and to gain / develop computer programming skills.
Learning Outcomes The students who succeeded in this course;
  • will be able to define numerical methods used in mechanical engineering.
  • will be able to calculate rounding errors and numerical derating
  • will be able to model engineering problems using numerical methods.
  • will be able to interpret the results obtained by numerical methods.
  • will be able to use a programming language.
Course Description Introduction to numerical methods will be explained. Root finding and solution systems of linear equations will be shown. Curve fitting, numerical integral, numerical derivative, solution of ordinary differential equations will be used with problems.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to programming in MatLAB Course Book: Chapter 3.
2 Round-off errors, roots of polynomials Course Book: Chapter 4, Chapter 6.6
3 Linear set of algebraic equations Course Book: Chapter 8, 10
4 Application of linear set of algerbraic equations to mechanics problems Course Book: Chapter 8, 10
5 Non-linear set of algebraic equations Course Book: Chapter 6.
6 Applications of non-linear set of algebraic equations to mechanism problems Course Book: Chapter 6.2
7 Optimization Course Book: Chapter 7
8 Curve fitting Course Book: Chapter 14
9 Engineering applications of curve fitting Course Book: Chapter 14
10 Midterm Exam
11 Numerical integration Course Book: Chapter 19, 20
12 Numerical differentiation Course Book: Chapter 21
13 Solutions of set of linear differential equations Course Book: Chapter 22.4
14 Engineering applications of linear set of differential equations Course Book: Chapter 22
15 Non-linear set of differential equations Course Book: Chapter 22.4
16 General review problems - Final exam
Course Notes/Textbooks

S.C.Chapra, Applied Numerical Methods with MatLAB for Engineers and Scientists, 4th Edition, McGraw Hill, 2017.

Suggested Readings/Materials

S.C.Chapra and R.P.Canale, Numerical Methods for Engineers, 6th Edition, McGraw Hill, 2010.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
25
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
45
Total

Weighting of Semester Activities on the Final Grade
6
55
Weighting of End-of-Semester Activities on the Final Grade
1
45
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
2
32
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
4
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
14
Final Exams
1
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering.

2

To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering.

3

To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques.

4

To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering.

5

To be able to design and conduct experiments, gather data, analyze and interpret results.

6

To be able to develop communication skills, ad working ability in multidisciplinary teams.

7

To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Aerospace Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1).

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Aerospace Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest