Faculty of Engineering and Natural Sciences · Industrial Engineering (English 30%) · Undergraduate
ECTS: 5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Doç. Dr. Sinem GÜLER
Course Objective
To provide skill and knowlesge about statistical design and analysis.
Course Content
Introduction to experimental design, basic statistical methods, Mean comparison with hypothesis tests, ANOVA, Single factor analysis, Determination of sample number, Test power and blocking, 2k and 3k factorial experiments, Factor designs, Fractional designs, Regression models, Taguchi designs .
Course Learning Outcomes
- experimental design
- experimentation
- the ability to identify and solve engineering problems analytically
- collecting data, analyzing and interpreting the results, as well as self-lifelong learning skills.
Core Area Distribution
(46) Mathematics and Statistics%60 (52) Engineering and Engineering Trades%40
Teaching Methods
ExpressionQuestion-AnswerDiscussionCase StudyExperiment - Test / Lab/ Workshop / Field Practice
Assessment & Evaluation
HomeworkPerformance Assignment ( Lab / Workshop / Field Work / Seminar / Presentation / Completion Study / ThesisProject / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 15 | 1 | 15 |
| Out of Class Study Period | 15 | 3 | 45 |
| Midterm | 1 | 2 | 2 |
| Quiz | 0 | 0 | 0 |
| Assignment | 5 | 1 | 5 |
| Practice | 1 | 10 | 10 |
| Final | 1 | 3 | 3 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction to experimental design | Montgomery, 2012 Chapter 1 |