Design of Experiments

Course Code:

ISE 455

Course Type:

Area Elective

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Prerequisite Courses:

Statistical Applications for Industrial Engineers

Course Language:

English

Courses given by:

Zeynep Gökçe İşlier

Course Objectives:

To introduce the basic principles and methods of statistical design of experiments. The significances of effects of various factors on a given response are determined under uncertainty using statistical principles.

Course Content:

Two-sample tests, one-way analysis of variance, randomized block designs, factorial designs, two-way anova, 2k factorial designs, random effects, mixed effects, simultaneous confidence intervals, EMS, power computations, statistical package applications.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Lab. Application, 4: Case studies

Course Evaluation Methods:

A: Written exam, B: Lab experiment applications C: Homework assignments

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
Ability to collect data, analyze data, interpret and present the results.	1a, 4b, 6c,7d	1, 2, 3	A, C
Ability to design an experiment.	5a,5b	1, 2, 3,4	A, B, C
Ability to analyze and interpret the experiment results by analysis of variance (anova).	1a, 4b, 5a, 5b, 6c,7d,	1, 2, 3, 4	A, C
Ability to interpret the experiment results by simultaneous confidence intervals	1a, 4b, 5a,5b, 6c,7d	1, 2, 3, 4	A, C
Ability to do power computations for tests. Ability to find the required sample size for a given power.	1a, 4a, 4b, 6c,7d	1, 2, 3, 4	A, C
Ability to consider random effects and mixed effects.	1a, 4b, 6c,7d	1, 2, 3, 4	A, C
Can use statistical package MINITAB.	4b, 6c,7d	1, 2, 3, 4	A, B, C
Being aware of ethical responsibility	9a		A, B, C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to Design of Experiments. A Review of Basic Statistical Concepts.	Textbook
2	Comparing Several Means. Analysis of Variance (Anova).	Textbook
3	Single-Factor Experiments. One-Way Anova..	Textbook
4	Tests. One-Way Anova. Simultaneous Confidence Intervals. Estimates of Parameters	Textbook
5	Expected Mean Square (EMS). Power Computations.	Textbook
6	Special Case of Two Means.	Textbook
7	MIDTERM EXAM I Random Effects Model.	Textbook
8	Randomized Block Designs. Tests	Textbook
9	Randomized Block Designs. Simultaneous Confidence Intervals.	Textbook
10	Factorial Designs.	Textbook
11	Two-Factor Experiments. Two-way Anova. Tests. Confidence Intervals.. Textb	Textbook
12	MIDTERM EXAM II Two-Factor Experiments. Interaction	Textbook
13	Mixed Effects Models. Textbook	Textbook
14	2 k Factorial Designs. MINITAB Applications.	Textbook

Recommended Sources

RECOMMENDED SOURCES
Textbook	Deitel,P. Deitel,H., 2013, C: How to program, Prentice Hall, 7th edition.
Additional Resources	H. A. Taha, Operations Research: An Introduction, Pearson Education, 2007

Material Sharing

MATERIAL SHARING
Documents	Powerpoint slides, https://coadsys.yeditepe.edu.tr
Assignments	5 homework assignments
Exams	2 Quizzes, 2 Midterms , Final

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Quiz	2	8
Homework Assignment	5	8
Midterm	2	76
In class contribution		8
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		30
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		70
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2a	Ability to identify, formulate, and solve complex engineering problems,
2b	Ability to select and apply proper analysis and modeling methods for this purpose.
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,
3b	Ability to apply modern design methods for this purpose.
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.
4b	Ability to employ information technologies effectively.	√
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,	√
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.	√
6a	Ability to work efficiently in intra-disciplinary teams,
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,	√
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.	√
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	12	3	36
Hours for off-the-classroom study (Pre-study, practice, project)	14	4	56
Midterm	2	2	4
Homework	5	5	25
Final	1	2	2
Total Work Load			123
Total Work Load / 25 (h)			4.92
ECTS Credit of the Course			5

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