|INDUSTRIAL ENGINEERING (ENGLISH, THESIS)|
|Master||TR-NQF-HE: Level 7||QF-EHEA: Second Cycle||EQF-LLL: Level 7|
|Course Code||Course Name||Semester||Theoretical||Practical||Credit||ECTS|
|INE6150||Design of Experiments||Spring||3||0||3||8|
|This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.|
|Language of instruction:||English|
|Type of course:||Departmental Elective|
|Mode of Delivery:||Face to face|
|Course Coordinator :|
|Recommended Optional Program Components:||N.A.|
|Course Objectives:||The aim of the course is to introduce the most commonly used experiments in engineering studies, to discuss the ideas, principles and assumptions required for the construction, implementation, and validity of the analysis for each experimental design and to analyze the resulting data. Applications with statistical software packages are also utilized.|
The students who have succeeded in this course;
I. Explain the difference between fixed and random factors.
II. Recognize the difference between completely randomized design and randomized blocks.
III. Design and conduct experiments involving several factors using the factorial design approach.
IV. Use ANOVA to analyze the data from the experiments.
V. Analyze and interpret main effects and interactions.
VI. Design and conduct experiments involving the randomized complete block design.
VII. Design and conduct fractional factorial designs.
VIII. Assess model adequacy with residual analyses.
IX. Perform power analysis and calculate the sample size required for a design.
|Randomization, replication, blocking, transformations, fixed and random effect models, single factor experiments (analysis of variance), Latin squares, factorial designs, fractional factorial designs.|
|1)||Introduction to Designed Experiments|
|2)||Basic Statistical Methods|
|3)||Basic Statistical Methods|
|4)||Analysis of Variance|
|6)||Analysis of Variance|
|7)||Experiments with Blocking Factors|
|8)||Experiments with Blocking Factors|
|12)||Two-Level Fractional Factorial Designs|
|13)||Two-Level Fractional Factorial Designs|
|Course Notes / Textbooks:||Douglas C. Montgomery, 2012. Design and Analysis of Experiments, John Wiley & Sons, 8th Edition|
|Semester Requirements||Number of Activities||Level of Contribution|
|Homework Assignments||4||% 10|
|PERCENTAGE OF SEMESTER WORK||% 40|
|PERCENTAGE OF FINAL WORK||% 60|
|Activities||Number of Activities||Workload|
|Study Hours Out of Class||14||28|
|Presentations / Seminar||1||10|
|No Effect||1 Lowest||2 Low||3 Average||4 High||5 Highest|
|Program Outcomes||Level of Contribution|
|1)||Process view and analytic thinking||1|
|2)||managerial thinking with technical background||3|
|3)||To have theoretical knowledge on operations research.|
|4)||Awareness about the applications of operations research|
|5)||To have ability of selection and efficient use of modern techniques, equipments and information technologies for industrial engineering||4|
|6)||To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results||5|
|7)||To have verbal and oral effective communication skills by using visual methods in Turkish and English|
|8)||To be aware of entrepreneurship, sustainability and innovation|
|9)||To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility.||1|
|10)||To have conscious of professional and ethical responsibility|
|11)||To have conscious of necessity to lifelong learning|
|12)||To be aware of economic and legal implications of engineering solutions|
|13)||Economic, social and environmental responsibility while solving management problems|