COURSE UNIT TITLE

: QUALITY MANAGEMENT IN NANOSCIENCE AND ENGINEERING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NNE 5021 QUALITY MANAGEMENT IN NANOSCIENCE AND ENGINEERING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR MEHMET ÇAKMAKÇI

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

This course will provide the student with the underlying principles and techniques of quality management, quality circle of manufacturing close-loop, Total quality management, Quality improvement techniques, Statistical process control (SPC), 6-Sigma approach, Process capability Analysis (PCA), Design of experiment and its application with emphasis on their application to production with nanotechnology.

Learning Outcomes of the Course Unit

1   To give the information about Quality Control and Quality Assurance and Quality Management in Nanotechnology
2   To conduct Statistical Process Control in Nanotechnology
3   To be informed of Using, Application, and Interpretaion of Sample Size
4   To acquire the knowledge about Using, Application, and Interpretaion of Control Charts
5   To have knowledge about Process Improvement - Process Capability Analysis
6   To get the knowlege about Design of Experiments

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Quality Improvement in the Advanced Production with Nanotechnology
2 Quality Improvement in the Advanced Production with Nanotechnology
3 Modeling Process Quality
4 Cost of Quality
5 Statistical Process Control
6 Statistical Process Control
7 Control Charts for Variables and Attributes
8 Control Charts for Variables and Attributes
9 Six Sigma
10 Mid-term examination
11 Process Capability Analysis
12 Project Assignment
13 Project Assignment
14 Project Assignment

Recomended or Required Reading

I. KAYNAK KITAP : Montgomery, Douglas C. Introduction to Statistical Quality
Control. John Wiley & Sons, Inc. New Yoruk, USA 1996.

II. REFERANS KITAPLAR : Timischl, Wolfgang. Qualitaetssicherung. Hanser Verlag.
München Wien 2002

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

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.35 + PRJ * 0.15 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + PRJ * 0.15 + RST * 0.50


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

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation before/after weekly lectures 12 3 36
Preparation for Mid-term Exam 2 10 20
Preparation for Final Exam 1 10 10
Preparing Individual Assignments 1 10 10
Preparing Project Presentation 3 20 60
Office hours 12 2 24
Final 1 2 2
Mid-term 1 2 2
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.14333334
LO.24333334
LO.34333334
LO.44333334
LO.54333334
LO.64333334