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| MAK7250 | Design of Experiments | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of MECHANICAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach the experimental design methods in order to stress the importance of design and analysis of experiments as a tool for practicing engineers to use for product design and development and process development and improvement. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn about fundamental principles and applications of experimental design | 1,2,3,4,11 | 1,3 | | PO - 2 : | learn about the simple comparative experiments and experiments with a single factor | 1,2,3,4,11 | 1,3 | | PO - 3 : | learn about the analysis of variance and randomized block ve latin-squares designs | 1,2,3,4,11 | 1,3 | | PO - 4 : | learn about the 2k and 3k factorial designs | 1,2,3,4,11 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Fundamental principles for experimental design Applications of experimental design Simple comparative experiments Experiments with a single factorThe analysis of variance Randomized block ve latin-squares designs Introduction to factorial designs The 2k factorial designs The 3k factorial designs |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic Principles, Guidelines for Designing Experiments | | | Week 2 | Basic Statistical Concepts | | | Week 3 | Experiments with a single factor: Analysis of variance | | | Week 4 | Model Adequacy Checking, Choice of sample size | | | Week 5 | Randomized Blocks, Latin Squares and Related Designs | | | Week 6 | Incomplete Block Designs | | | Week 7 | Introduction to Factorial Designs: Two-Factor Factorial Design | | | Week 8 | Random and Mixed models | | | Week 9 | Mid-term exam | | | Week 10 | 2k Factorial Designs | | | Week 11 | Two-level Fractional Factorial Designs | | | Week 12 | 3k Factorial Designs | | | Week 13 | Factorials with Mixed Levels | | | Week 14 | Multifactor Experiments with Randomization | | | Week 15 | Regression Analysis | | | Week 16 | End-of-term exam | | | |
| 1 | Montgomery, D.C., 1991, Design and Analysis of Experiments, John Wiley and Sons, Inc. | | | |
| 1 | Hillier, F.S., Lieberman, G.J., 1990, Introduction to Mathematical Programming, McGraw Hill. | | | 2 | Miller, I., Freund, J.E., 1985, Probability and Statistics for Engineers, Prentice Hall. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 11/04/2011 | 2 | 30 | | Homework/Assignment/Term-paper | 4
6
11
13 | 04/03/2011
18/03/2011/24/04/2011
08/05/2011 | 1
1
1
1 | 20 | | End-of-term exam | 16 | 08/06/2011 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 6 | 2 | 12 | | Arasınav | 2 | 1 | 2 | | Ödev | 8 | 4 | 32 | | Dönem sonu sınavı için hazırlık | 8 | 3 | 24 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 3 | 14 | 42 | | Total work load | | | 198 |
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