COURSE UNIT TITLE

: COMPUTER AIDED STATISTICAL METHODS IN TEXTILE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TKS 4562 COMPUTER AIDED STATISTICAL METHODS IN TEXTILE ELECTIVE 1 2 0 4

Offered By

Textile Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR MUSA KILIÇ

Offered to

Textile Engineering

Course Objective

The aim of this course is giving detailed knowledge about statistical package programmes such as SPSS, Minitab and MsExcel statistical add-in to solve textile engineering problems related with descriptive statistics, probability, statistical inference, tests of hypothesis, ANOVA, regression and correlation and statictical process control (SPC).

Learning Outcomes of the Course Unit

1   Using statistical package programmes (SPSS, Minitab, MsExcel statistics add-in).
2   Expressing experimental or observational data in statistical manner using package programmes.
3   Comparing different samples using statistical programmes.
4   Expressing the relationships between the variables using statistical package programmes.
5   Entegrating package programmes to statistical process control (SPC).

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Descriptive Statistics
3 Summarization of Data
4 Some Special Probability Distributions
5 Statistical Inference
6 Test of Hypothesis: z and t tests
7 Midterm Exam
8 ANOVA: One factor
9 ANOVA: Multiple factors
10 Correlation
11 Regression
12 Midterm Exam
13 Control Charts for Variables
14 Control Charts for Attributes

Recomended or Required Reading

1- SPSS FOR INTRODUCTORY STATISTICS: USE AND INTERPRETATION, Second Edition, George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett, Lawrence Erlbaum Associates, Inc., Publishers, ISBN: 9780805847895, 2004.
2- MINITAB HANDBOOK, Fifth Edition, Barbara Ryan, Brian L. Joiner, Jonathan D. Cryer, Curt Hinrichs Publisher, ISBN: 978-0-534-49600-5, 2005.
3- ISTATISTIĞE GIRIŞ, 7. Baskı, Fikret Ikiz, Halis Püskülcü, Şaban Eren, Barış Yayınları - Fakülteler Kitabevi, 2006.
4- INTRODUCTORY STATISTICS, Third Edition, Sheldon M. Ross, Academic Press, ISBN: 9780123743886, 2010.
5- INTRODUCTION TO STATISTICAL QUALITY CONTROL, Fourth Edition, Douglas C. Montgomery, Replika Press Pvt. Ltd. Kundli, ISBN: 9971-51-351-X, 2001.

Planned Learning Activities and Teaching Methods

Presentation, Laboratory, Exams

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

To success midterm exams and final exam.

Language of Instruction

Turkish

Course Policies and Rules

Course attendance is required.

Contact Details for the Lecturer(s)

Assoc. Prof. Dr. Musa KILIC

Dokuz Eylül University
Faculty of Engineering
Department of Textile Engineering
Tınaztepe Campus 35397 Buca-IZMIR

Tel: 0232 301 77 14
E-Mail : musa.kilic@deu.edu.tr

Office Hours

Friday (13:00-17:00)

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 1 12
Tutorials 12 2 24
Preparation for final exam 1 8 8
Preparation for midterm exam 2 8 16
Preparations before/after weekly lectures 12 2 24
Independant Study 12 1 12
Midterm 2 2 4
Final 1 2 2
TOTAL WORKLOAD (hours) 102

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.15553
LO.25553
LO.35552
LO.45553
LO.55453

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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