COURSE UNIT TITLE

: INTRODUCTION TO STATISTICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TKS 2009 INTRODUCTION TO STATISTICS COMPULSORY 2 0 0 3

Offered By

Textile Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

INSTRUCTOR MUSA KILIÇ

Offered to

Textile Engineering

Course Objective

1 Teaching of basic statistical knowledge
2 Teaching of data collection, data summarization and data presentation techniques
3 Information about some specific probability distributions and their properties
4 Information about statistical inference and decision-making processes
5 Information about the relationships between the variables

Learning Outcomes of the Course Unit

1   Defining the basic concepts of statistics
2   Expressing the data obtained as a result of experiments and observations statistically
3   Comparing different sets of experiments statistically
4   Making comments using statistical results
5   Applying statistical methods to real problems
6   Making inference using data obtained from statistical methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic Concepts Definition of the terms such as statistics, variable, variation, population, observation, data, sample
2 Summarization and Presentation of Data Forming a frequency table. Summarizing and presenting data in graphical way.
3 Descriptive Statistics Measures of Central Tendency and Variation
4 Coding Data for Statistical Calculations Additive, multiplicative, and combined coding
5 Probability Definition of the terms such as sample space, relative frequency, probablity
6 Random Variables The classification of random variables and the concept of expected value
7 Probability Distributions for Discrete Variables Binomial and Poisson Distributions
8 1st Midterm
9 Probability Distributions for Continuous Variables Normal Distribution
10 Statistical Inference Point and interval estimations for population mean. Estimation of the difference between two means
11 Test of Hypothesis Forming and testing a hypothesis. z-tests
12 Test of Hypothesis t-tests
13 Relationships between the Variables Regression
14 2nd Midterm
15 Relationships between the Variables Correlation

Recomended or Required Reading

1. Istatistiğe Giriş, 7. Baskı, Fikret Ikiz, Halis Püskülcü, Şaban Eren, Barış Yayınları - Fakülteler Kitabevi, 2006.
2. Introductory Statistics, Third Edition, Sheldon M. Ross, Academic Press, ISBN: 9780123743886, 2010.
3. Applying Regression & Correlation, J. Miles, M. Shevlin, Sage Publications Ltd.,0-7619-6229-8, 2004.
4. Introduction to Engineering Statistics and Six Sigma, Theodore T. Allen, Springer, 1-85233-955-1, Germany, 2006.

Planned Learning Activities and Teaching Methods

Presentation

Assessment Methods

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

Further Notes About Assessment Methods

None

Assessment Criteria

To be successfull from the midterm and final exams.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to couse

Contact Details for the Lecturer(s)

Dr. Musa KILIÇ (Lecturer)
Dokuz Eylül University Department of Textile Engineering
Tınaztepe Campus 35160 Buca-IZMIR
Tel: 0232 3017714

Office Hours

Wednesday (13:00-17:00)

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 1 13
Preparation for midterm exam 2 7 14
Preparation for final exam 1 9 9
Midterm 2 2 4
Final 1 2 2
TOTAL WORKLOAD (hours) 68

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1333
LO.25444
LO.335454
LO.455544
LO.545453
LO.655555