COURSE UNIT TITLE

: NANOCALIBRATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NNE 5026 NANOCALIBRATION 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 EVREN MELTEM TOYGAR

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

The aim of this course is to give the calibration terms and the information that is under the consideration of basic conditions for calibration. Calibration, verification, standads, national standards and quality system, measurement uncertainty, process of uncertainty calculation based on the errors, potential uncertainty source, mathematical modelling, uncertainty components, distribution functions, the technique of using of uncertainty and nevertheless nano-metric calibration system for the instrument and the equipment including nano-technology will come up.

Learning Outcomes of the Course Unit

1   To have information about calibration and calibration systems
2   To get the knowledge about metrology, accreditation and standardization
3   To have information about metrology, accreditation and standardization in nanotechnology
4   To be informed of measuring uncertainty and mathematical definitions
5   To acquire the information about general conditions for efficiency of laboratories for test and, compatibility evaluation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Testing, Calibration and Control concept. Measuring and Analyses of Measuring Systems
2 Volume Calibration, Temperature Calibration Biomedical Calibration, Electrical
3 Dimensional Calibration, Dimensional Measuring Equipment (Master Blocks, Caliper gauge, Micrometer), and Laboratory Conditions
4 Metrology, Accreditation, Standardization Measuring and Analyses of Measuring Systems
5 Standards (International, National, Reference,) An Introduction to Standards The Standards Development Process
6 Mathematical Modelling, Distribution Functions, Total Indefiniteness, Improved Indefiniteness Factor, Gaussian Curve,
7 Mathematical Modelling, Distribution Functions, Total Indefiniteness, Improved Indefiniteness Factor, Gaussian Curve,
8 Measuring Uncertainty, ISO/IEC 17025:1999 standard, Process, characterization, nanotechnology for measuring and calibration
9 Steps of uncertainty calculations, uncertainty components
10 Midterm exam
11 General conditions for efficiency of laboratories of test and, compatibility evaluation
12 Project presentation
13 Project presentation
14 Project presentation

Recomended or Required Reading

TEXTBOOK : Ulusal Metroloji Enstitüsü , Metrolojide Kullanılan Temel ve Genel Terimler Sözlüğü, Nisan 1997, Günther Ramm, PTB-E39 Kalibrieren Yonwechselstrom -Mebbiderständen , Juli 1990,

REFERENCE BOOKS : Calibration Book published by Vaisala Oyj P.O. Box 26 FIN-
00421 Helsinki Finland Vaisala 2006,
UME General Metrology and Calibration

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

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

evren.toygar@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 exam 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