COURSE UNIT TITLE

: ADVANCED STATISTICAL QUALITY CONTROL

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 4161 ADVANCED STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR SENEM VAHAPLAR

Offered to

Statistics
Statistics(Evening)

Course Objective

The objective of this course is to cover an advanced level of process and measurement systems capability determination, basic acceptance sampling procedures and additional sampling procedures.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of process capability
2   Describing fundamental elements of measurement systems capability
3   Describing fundamental elements of acceptance sampling procedures
4   Defining the basic properties of acceptance sampling procedures
5   Applying acceptance sampling procedures

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Normality and process capability ratio
2 Confidence Intervals and Tests on Process Capability Ratios
3 Gage and Measurement System Capability Studies
4 Setting Specification Limits on Discrete Components
5 Estimating The Natural Tolerance Limits of a Process
6 The Acceptance Sampling Problem
7 Single Sampling Plans for Attributes
8 Midterm Exam
9 The OC Curve
10 Double and Multiple Sampling Plans
11 Sequential Sampling Plans
12 Military Standards and Dodge-Romig Sampling Plans
13 Acceptance Sampling by Variables
14 Designing a Variable Sampling Plan with a Specified OC Curve

Recomended or Required Reading

Textbook(s):
D. C. Montgomery, Introduction to Statistical Quality Control, 6th edition, John Wiley & Sons, Canada, 2009.
Supplementary Book(s):
1. A. Mitra, Fundamentals of Quality Control and Improvement, 2nd Edition, Prentice Hall, 1998.
2. D. H. Besterfield, Quality Control, 6th Edition, Prentice Hall, 2001.

Planned Learning Activities and Teaching Methods

Lecture, homework assignments, problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

Students will come to the class in time. Attending the 70% of the classes are mandatory.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: s.alpaykut@deu.edu.tr
Tel: 0232 301 85 56

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation before/after weekly lectures 12 1 12
Preparation for Mid-term Exam 1 24 24
Preparation for Final Exam 1 35 35
Preparing Individual Assignments 2 3 6
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 120

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.144555435555
LO.244555435555
LO.344555435555
LO.444555435555
LO.544555435555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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