COURSE UNIT TITLE

: QUALITY MANAGEMENT IN NANOSCIENCE AND ENGINEERING - I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NNE 5043 QUALITY MANAGEMENT IN NANOSCIENCE AND ENGINEERING - I 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 DOCTOR MEHMET ÇAKMAKÇI

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

The aim of this course is to provide the students quality techniques and approaches with the application such as quality management, quality circle in the production cycle, total quality management, quality improvement techniques, statistical process control (SPC), 6-Sigma, process capability analysis (PCA) and experimental design in the nanotechnology production.

Learning Outcomes of the Course Unit

1   To give information about quality and total quality management in nano technology
2   Statistical process control in nanotechnology
3   To give information about the use of acceptance sampling its interpretation in the nano-technology.
4   Provide information about the interpretation and using of Statistical Process Control Card
5   To give information about process improvement
6   To give information about the creation of experimental design

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 higher production with nanotechnology
2 Quality improvement in higher production with nanotechnology
3 Modeling quality process
4 Quality cost
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 Midterm
11 Process capability analysis
12 Project presentation
13 Project presentation
14 Project presentation

Recomended or Required Reading

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


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparing assignments 2 22 44
Preparing presentations 1 30 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.15454455
LO.25454455
LO.35455455
LO.45545454
LO.55455544
LO.64454545