IE 446

Course ID:

Course Code & Number

IE 446

Course Title

Design of Experiments

Level

BS

Credit Hours/ ECTS Credits

(3+0+0) 3 TEDU Credits, 5 ECTS Credits

Year of Study:

Senior

Semester:

Spring

Type of Course:

Elective

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite::

Catalog Description

Basic principles of design of experiments. Simple comparative experiments. Experiments with a single factor. Experiments with multiple factors with two or mixed levels. Basic response surface designs. Analysis of variance and regression for the experimental designs.

Course Objectives

This course aims to teach key concepts of experimentation. The course also equips the students with skills to develop statistical design of experiments for comparing population parameters, studying effects of variables, and building empirical models of relations between a response and its influential factors. Moreover, the course covers techniques of analyzing data collected from the designed experiments using analysis of variance and regression.

Software Usage

MINITAB, R, MS Excel

Course Learning Outcomes

Upon successful completion of this course, students will be able to:

1. Explain the key concepts of design and analysis of experiments,
2. Define the process of designing a statistical experiment,
3. Characterize a problem or system to be analyzed by identifying design objectives, defining responses and their influential factors, and choosing factor levels,
4. Use strategies for designing and conducting a statistical experiment,
5. Apply basic skills of planning, designing, and conducting statistical experiments,
6. Analyze data generated from the experiments using parametric statistical approaches and interpret the results,
7. Evaluate advantages and disadvantages of different types of experimental designs.

Learning Activities and Teaching Methods:

Telling/Explaining Discussion/Debate Questioning Reading Scaffolding/Coaching Demonstrating Problem Solving Collaborating Case Study/Scenarion Analysis Oral Presentations/Reports Brainstorming Hands-on Activities Experiments

Assessment Methods and Criteria:

Test / Exam Quiz Case Studies / Homework Project

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Gülser Köksal

Student Workload:

Workload	Hrs
Lectures	42
Course Readings	33
Hands-on Work	10
Exams/Quizzes	20
Case Study Analysis	20
Team Meetings	10
Total	135

Course & Program Learning Outcome Matching: