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Department of Mechanical 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 | FENG 345 (To get a grade of at least FD) | |||||
| Course Language | İngilizce | |||||
| Course Type | Required (Core Course) | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | ||||||
| Teaching Methods and Techniques of the Course | - | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| 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 and providing theoretical justification as to why they succeed. Additionally, it is aimed to teach the computational tools available to solve optimization problems on computers once a mathematical formulation has been found. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | This course will cover the place and importance of optimization in engineering, basic definitions and facts about optimization problems, analytical and graphical solutions to linear, nonlinear, constrained, and unconstrained optimization problems, and solutions to optimization problems using conventional and modern/evolutionary search techniques. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
Quality Education
|
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|
|
Core Courses |
X
|
| Major Area Courses |
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction to optimization, its place in engineering, basic definitions, and facts. | Textbook 1: Chapter 1 | LO1 |
| 2 | Analytical solutions of unconstrained optimization problems | Textbook 1: Chapter 4 | LO2 |
| 3 | Analytical solutions of equality constrained optimization problems | Textbook 1: Chapter 4 | LO2 |
| 4 | Analytical solutions of inequality constrained optimization problems | Textbook 1: Chapter 4 | LO2 |
| 5 | Solving optimization problems with the graphical method. | Textbook 1: Chapter 3 | LO2 |
| 6 | Convex problems | Textbook 1: Chapter 4 | LO2 |
| 7 | Linear Programming | Textbook 1: Chapter 8 | LO3 |
| 8 | Midterm Exam | - | |
| 9 | Conventional numerical methods for one-dimensional optimization problems | Textbook 2: Chapter 5 | LO4 |
| 10 | Conventional numerical methods for one-dimensional optimization problems | Textbook 2: Chapter 5 | LO4 |
| 11 | Conventional numerical methods for multidimensional optimization problems | Textbook 2: Chapter 6 | LO4 |
| 12 | Conventional numerical methods for multidimensional optimization problems | Textbook 2: Chapter 6 | LO4 |
| 13 | Solving optimization problems via evolutionary algorithms | Textbook 2: Chapter 13 | LO5 |
| 14 | Solving optimization problems via evolutionary algorithms | Textbook 2: Chapter 13 | LO5 |
| 15 | Course review | - | |
| 16 | Final exam | - |
| Course Notes/Textbooks | - |
| Suggested Readings/Materials | - |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 | LO5 |
| Homework / Assignments | 1 | 15 | X | X | |||
| Midterm | 1 | 30 | X | X | X | ||
| Final Exam | 1 | 40 | X | X | X | X | X |
| Quizzes / Studio Critiques | 1 | 15 | X | X | |||
| Total | 4 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | 16 | 3 | 48 |
| Theoretical Course Hours | - | - | - |
| Laboratory / Application Hours | - | - | - |
| Study Hours Out of Class | 14 | 2 | 28 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | 1 | 22 | 22 |
| Portfolio | - | - | - |
| Homework / Assignments | 1 | 22 | 22 |
| Presentation / Jury | - | - | - |
| Project | - | - | - |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 26 | 26 |
| Final Exam | 1 | 34 | 34 |
| Total | 180 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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