NUMERICAL ANALYSIS AND OPTIMIZATION METHODS IN AUTOMOTIVE ENGINEERING
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Course Title:
NUMERICAL ANALYSIS AND OPTIMIZATION METHODS IN AUTOMOTIVE ENGINEERING
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Course Code:
OTO5102
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Type of Course:
Optional
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Level of Course:
Second Cycle
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Year of Study:
1
6
Semester:
2
7
ECTS Credits Allocated:
6
8
Theoretical (hour/week):
3
9
Practice (hour/week) :
0
10
Laboratory (hour/week) :
0
11
Prerequisites:
12
Recommended optional programme components:
None
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Language:
Turkish
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Mode of Delivery:
Face to face
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Course Coordinator:
Doç. Dr. EMRE İSA ALBAK
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Course Lecturers:
Prof.Dr. Necmettin Kaya
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Contactinformation of the Course Coordinator:
Doç.Dr. Emre İsa ALBAK Bursa Uludağ Üniversitesi Mühendislik Fakültesi Otomotiv Mühendisliği Bölümü
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Website:
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Objective of the Course:
The objective of this course is to present classical optimization techniques and stochastic (heuristic) methods of solving optimization problems in the automotive engineering, in additionally, there will be some introduction to numerical methods for optimization problems.
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Contribution of the Course to Professional Development
Contribution of the course to professional development is about to have the knowledge and understanding of how to apply optimization techniques, heuristic techniques, optimumtopology design and numeric analysis in automotive industry
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Learning Outcomes:
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Demonstrate knowledge and understanding of advances in numerical analysis and optimization techniques and ability to apply these technics to automotive engineering ;
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Explain the basic concepts and methods for optimization and numerical analysis techniques;
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Demonstrate knowledge to model optimization and numerical analysis problems in mathematical form ;
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Course Content:
Week
Theoretical
Practical
1
Basic principles in optimization techniques and numerical analysis
Numerical methods for unconstrained optimization, Quasi-Newton Methods
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Numerical methods for constrained optimization, SUMT techniques for optimization, Penalty function method, Geometric programming method
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Traditional optimization techniques applications in automotive engineering
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Basic concepts of heuristic methods, applications of heuristic methods to automotive engineering problems
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Basic concepts of heuristic methods, applications of heuristic methods to automotive engineering problems
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Topology and shape optimization techniques for optimization engineering problems,
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Non-traditional optimization techniques applications in automotive engineering
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Numerical analysis techniques
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Numerical analysis techniques
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Numerical analysis techniques
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Project presentation
14
Project presentation
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Textbooks, References and/or Other Materials:
Lecture notes and related books J. S. Arora, Introduction to Optimum Design, Elsevier Academic Pres, Rao, Optimization: Theory and Applications, John Wiley, New York, 1984. G. N. Vanderplaats, Numerical Optimization Techniques for Engineering Design, McGraw-Hill, New York, 1984. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
20
Quiz
0
0
Homeworks, Performances
1
20
Final Exam
1
60
Total
3
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Midterm exam, Final exam, Homework
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
2
28
Homeworks, Performances
1
0
0
Projects
1
100
100
Field Studies
0
0
0
Midtermexams
1
5
5
Others
0
0
0
Final Exams
1
5
5
Total WorkLoad
185
Total workload/ 30 hr
6
ECTS Credit of the Course
6
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
