FACULTY OF ENGINEERING
Department of Aerospace Engineering
FENG 346 | Course Introduction and Application Information
Course Name |
Numerical Methods for Engineers II
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
FENG 346
|
Fall
|
3
|
0
|
3
|
6
|
Prerequisites |
|
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Course Language |
English
|
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Course Type |
Required
|
|||||||
Course Level |
First Cycle
|
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Mode of Delivery | - | |||||||
Teaching Methods and Techniques of the Course | Problem SolvingLecture / Presentation | |||||||
Course Coordinator | ||||||||
Course Lecturer(s) | ||||||||
Assistant(s) |
Course Objectives | The course objectives are to provide the central ideas behind algorithms for the numerical solution of differentiable optimization problems by presenting key methods for both unconstrained and constrained optimization, as well as providing theoretical justification as to why they succeed. Additionally, it is aimed to teach the computational tools available to solving optimization problems on computers once a mathematical formulation has been found. |
Learning Outcomes |
The students who succeeded in this course;
|
Course Description | In this course, the following topics will be covered, with a special focus on practical applications: the importance of optimization, basic definition and facts on optimization problems, theory of linear programming, nonlinear programming (constrained and unconstrained optimization problems), numerical methods for constrained and unconstrained problems, numerical solution of partial differential(elliptic and parabolic) equations. |
|
Core Courses |
X
|
Major Area Courses | ||
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
Week | Subjects | Related Preparation |
1 | Introduction to Partial Differential Equations | Textbook 3: Chapter 28 |
2 | Finite Difference Method: Simple Implicit and Explicit Finite Difference Schemes and Numerical Stability | Textbook 3: Chapter 29, 30 |
3 | Finite Difference: Elliptic Equations | Textbook 3: Chapter 29 |
4 | Finite Difference: Parabolic Equations | Textbook 3: Chapter 30 |
5 | Optimization concept and historical perspective, basic concepts in optimization process. | Textbook 1: Chapter 1 Textbook 2: Chapter 1 |
6 | Optimum Design Problem Formulation | Textbook 1: Chapter 2 |
7 | Graphical Solution Method and Basic Optimization Concepts | Textbook 1: Chapter 3 |
8 | Midterm Exam | |
9 | Optimum Design Concepts: Optimality Conditions | Textbook 1: Chapter 4 |
10 | Optimum Design Concepts: Optimality Conditions | Textbook 1: Chapter 4 |
11 | Numerical Methods for Unconstrained Optimization | Textbook 1: Chapter 10 |
12 | Numerical Methods for Constrained Optimization | Textbook 1: Chapter 12 |
13 | Linear Programming | Textbook 1: Chapter 8 |
14 | Linear Programming | Textbook 1: Chapter 8 |
15 | Review of the semester | |
16 | Final |
Course Notes/Textbooks |
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Suggested Readings/Materials |
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EVALUATION SYSTEM
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments |
1
|
40
|
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exams | ||
Midterm |
1
|
20
|
Final Exam |
1
|
40
|
Total |
Weighting of Semester Activities on the Final Grade |
2
|
60
|
Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
Total |
ECTS / WORKLOAD TABLE
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
Study Hours Out of Class |
14
|
3
|
42
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
0
|
||
Portfolio |
0
|
||
Homework / Assignments |
7
|
8
|
56
|
Presentation / Jury |
0
|
||
Project |
0
|
||
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
1
|
14
|
14
|
Final Exam |
1
|
20
|
20
|
Total |
180
|
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. |
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2 | To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering. |
X | ||||
3 | To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques. |
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4 | To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering. |
X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results. |
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6 | To be able to develop communication skills, ad working ability in multidisciplinary teams. |
X | ||||
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. |
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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. |
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9 | To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. |
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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. |
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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). |
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12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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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
NEWS |ALL NEWS
Prof. Pasquale's visit
Prof. Pasquale Daponte from the University of Benevento Sannio, Italy visited our Aerospace Engineering department during the period from 07.03 to 10.03 to discuss
Presentation of Prof. Slawomir Szrama
Prof. Slawomir Szrama visited our university and Aerospace Engineering department during period from 04.03.2024 to 08.03.2024. He gave a talk about "Neural Networks
Technical Trip of The Aerospace Engineering Department to Gaziemir
A technical trip was conducted to the Aviation Sciences laboratories of the Air Force Non-Commissioned Officer Vocational School affiliated with the National
Award-winning helicopters promoted in Azerbaijan
Izmir University of Economics (IUE) students, who managed to receive awards at TEKNOFEST two years in a row with the cargo transport
ECO-Dynamics places second in Teknofest Helicopter Design Competition with their attack helicopter
The "ECO-Dynamics" team, consisting of 7 students, Pınar Akın, Eda Nur Tetik, Kutlu Akar, Melisa Gündoğdu, Mehmet Ali Tekin, Tuna Deniz ve
They came second with the helicopter design
The ‘ECO-Dynamics’ team, consisting of 7 students from Izmir University of Economics (IUE) Department of Aerospace Engineering,
Visitor from NASA
Jay Trimble, Mission System Manager at NASA Ames Research Center, met with students at the two-day conference on NASA's Space Travel, organized