1	Course Title:	STATISTICS
2	Course Code:	TEK2019E
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	2
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	English
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. ERHAN KENAN ÇEVEN
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	Prof. Dr. Erhan Kenan Çeven Bursa Uludag Üniversitesi Mühendislik Fakültesi Tekstil Mühendisligi Bölümü Görükle Kampüsü,16059-Nilüfer-Bursa-Türkiye Tel: 0 224 294 2062 e-mail: rceven@uludag.edu.tr https://avesis.uludag.edu.tr/rceven
18	Website:
19	Objective of the Course:	Giving theoretical and practical knowledge to Textile Engineering students for usage in quality control courses at textile engineering department, Ensuring the assessment of the results in a scientific manner while doing research, Establishing a baseline to research methods and decision making mechanisms, Teaching and ensuring to understand basic statistic subjects for implementation, Establishing a baseline for experimental design
20	Contribution of the Course to Professional Development	Establishing a baseline to research methods and decision making mechanisms for Textile Research

21

Learning Outcomes:

1 Being able to comprehend statistics basic units; 2 Being able to collect data and information for research; 3 Being able to organize the collected information; 4 Being able to present the data; 5 Being able to analyse with the data; 6 Being able to do experimental design ;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to Statistics	Introduction to Statistics(IBM SPSS 23 Software)
2	Data Collection and Presentation	Data Collection and Presentation (IBM SPSS 23 Software)
3	Central Tendency Measurements	Central Tendency Measurements (IBM SPSS 23 Software)
4	Variance Measurements	Variance Measurements (IBM SPSS 23 Software)
5	Probability Distribution and Applications	Probability Distribution and Applications (IBM SPSS 23 Software)
6	Sampling Theory	Sampling Theory Applications (IBM SPSS 23 Software)
7	Statistical Prediction Theory	Statistical Prediction Applications (IBM SPSS 23 Software)
8	Statistical Decision Theory, Hypothesis and Significance Tests (One Population/One Samples)	Statistical Decision Theory, Hypothesis and Significance Tests (IBM SPSS 23 Software)
9	Statistical Decision Theory, Hypothesis and Significance Tests (Two Population/Two Samples)	Statistical Decision Theory, Hypothesis and Significance Tests (IBM SPSS 23 Software)
10	Regression Analysis	Regression Analysis (IBM SPSS 23 Software)
11	Correlation Analysis	Correlation Analysis (IBM SPSS 23 Software)
12	Variance Analysis - Parametric	Variance Analysis - Parametric (IBM SPSS 23 Software)
13	Variance Analysis - Parametric	Variance Analysis - Parametric (IBM SPSS 23 Software)
14	SNK Tests	SNK Tests (IBM SPSS 23 Software)

23	Textbooks, References and/or Other Materials:	1.Stat Basics, Apex, Consulting in Scientific Publications and Media, 2010,Richmond, Virginia, U.S.A, ISBN: 978-0-9827583-0-4 (Selcen KILINÇ) 2. Practical Statistics for the Textile Industry: Part I,II The Textile Institute, 1984, 1987 Manchester, (G.A.V. LEAF) 3. Statistics Today, Harper & Row Publishers, Inc., 1978 New York (Ann Seymour UKENA) 4. Mühendisler İçin İstatistik, Birsen Yayınevi, 1985, İstanbul,(Mehmet BAYAZIT, Beyhan OĞUZ) 5. İstatistik Teori ve Problemler, Schoum’s Series, 1988,Türkiye Ekonomi Kurumu Ankara (Murray R. Spieger) 6. D. Montgomery, “Introduction to Statistical Quality Control”, John Wiley & Sons, N.Y., 1997. 7. R.E. DeVor, T. Chang & W. Sutherland, “Statistical Quality Design and Control”, Princete Hall, N.Y. 1992.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	30
Quiz	0	0
Homeworks, Performances	1	10
Final Exam	1	60
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Midterm and Final Test Exam; Assignment
Information	Test Exam; Assignment

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	14	2	28
Self Study and Preparation	8	5	40
Homeworks, Performances	1	7	14
Projects	1	10	10
Field Studies	0	0	0
Midtermexams	1	15	15
Others	0	0	0
Final Exams	1	15	15
Total WorkLoad			150
Total workload/ 30 hr			5
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 PQ13 PQ14 PQ15 PQ16 PQ17 PQ18 PQ19 LO1 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 LO2 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 LO3 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 LO4 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 LO5 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 LO6 0 0 4 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High