This is a graguation project for ORKHAN SEYİDOV

This is Graduation Project Course for NİLÜFER KIVRAK

İZMİR INSTITUTE OF TECHNOLOGY DEPARTMENT OF ENGINEERING MANAGEMENT

EM 536 (3+0) 3 Design of Experiments and Process Optimization                              Spring 2020

Instructor: Durmuş ÖZDEMİR, Assoc. Prof.

Office: Department of Chemistry Room 311

Office Hours: Monday: 14:00 – 16:00 pm or by appointment at other times

Phone: 0232 750 7534, 0505 255 8101                      E-mail: durmusozdemir@iyte.edu.tr

Textbooks

Douglas C. Montgomery, Design and Analysis of Experiments, Wiley. New York 2005.

Further Reading

Journal of Chemometrics, monthly journal from Wiley.

Chemometrics and Intelligent Laboratory systems, monthly journal from Elsevier.

Course schedule

Tuesday           19:00 to 21:15 pm

             

Purposes and Objectives of the Course

1.      To provide the student with the basic theory and principles of Linear Algebra and Multiple Linear Regression.

2.      To provide some insight into the mathematical aspects of Experimental Design and Optimization.

3.      Applications of different Experimental Design and Process Optimization strategies for science and engineering.

 

Grading

Grading in this course is on a total point basis. These points are acquired through a midterm exam, project and a comprehensive final exam. Midterm exam and final exam dates will be announced at the beginning of the semester. Course grade is based on 30 % midterm exam, 30 % Project, and 40 % final exam. A minimum of 70 % of the total points possible must be achieved in order to satisfactorily complete the course.

The following scale will be used for overall grading*.

90 – 100

AA

4,0

85 – 89

BA

3,5

80 – 84

BB

3,0

75 – 79

CB

2,5

70 – 74

CC

2,0

65 – 69

DC

1,5

60 – 64

DD

1,0

50 – 59

FD

0,5

50 <

FF

0,0

*Adjustments may be made to this scale by the instructor depending upon the overall ability of the class.

 

Lecture Topics

Introduction, Linear algebra, Basic principles of experimental design, Simple comparative experiments, Experiment with single factors, The Analysis of variance, Introduction to factorial design, Two and three level factorial designs, Fractional factorial designs, Placket Burman Design, Response surface methods, Central composite Design, Mixture design, Calibration design, Optimization.

Attendance

            Attendance is required to all classes. If you fail to attend more than your allowable limit without a valid reason (around 15 to 20 % of all class meeting) you will get an FF grade for the course no matter what the scores you get from the exams. If you are sick and can not come to the school, you must obtain a doctor’s excuse from university health center. You should also be on time for the class meetings.