COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR MEHMET ÇAKMAKÇI

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

To be able to develop and design a process that can meet customer expectations by using statistical process control techniques in nanoscience and nanoengineering.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s):
- Montgomery, Douglas C. Introduction to Statistical Quality Control, 6th Edition, John Wiley & Sons, Inc. New Yoruk, USA 2009
- Osanna, Peter H., Durakbasa, M. Numan, Basic Nanotechnology and Nanometrology, ISBN 3-901888-30-4, Vienna University of Technology,(2011).

Supplementary Book(s):
-Jye-Chyi Lu, Shuen-Lin Jeng, Kaıbo Wang, A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology, Journal of Quality Technology, Vol. 41, No. 2, (2009).
-Leslie Pendrill, Olena Flys, Kai Dirscherl and Gert Roebben, European Consultation on Metrological Traceability, Standards and Dissemination of Metrology in Industrial Nanotechnology, CO-NANOMET EU FP7 CSA-CA 218764, Task 4.3, (2010).
-J.-C. Lu, Quality, Statistics and Reliability in Nanotechnology, Georgia Institute of Technology, Industrial & Systems Engineering, Atlanta. Retrieved from
http://chm.pse.umass.edu/NMSworkshop/protected/LuSlides.pdf.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend and both the lecture and take part in the discussion sessions. Besides the taught lecture, group presentations are to be prepared by the groups assigned for that week and presented to open a discussion session.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

There will be minimum 2 projects, averaged out grades for which will be 15 % of the overall success of the students. mid-term examinations will be averaged and affect the grade by 35 %. Final exam will be 50 % of the resulting grade.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.cakmakci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes