Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
STA 5005	APPLIED STATISTICS IN SCIENTIFIC RESEARCH	ELECTIVE	4	0	0	7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEDAT ÇAPAR

Offered to

STATISTICS (ENGLISH)
Statistics Orientation Program

Course Objective

This course provides an introduction to statistics. Lectures will explain the theoretical origins and practical implications of statistical concepts. The objective of this course is to cover an intermediate level of Statistical Methods. In this course, Statistics, Terminology of Statistics and Applications of Statistical Methods will be covered. By the end of this course, students will be able to organize and analyze observational and experimental data statistically by using a Statistic sofware such as Minitab.

Learning Outcomes of the Course Unit

1	Describing fundamental elements of Statistics
2	Distinguishing types of data
3	Learning methods for Describing Sets of Data
4	Understanding Probability and Sampling Distributions
5	Estimating with Confidence Interval
6	Able to Tests of Hypothesis
7	Describing the Simple Linear Regression

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Statistics, Data and Statistical Thinking
2	Fundamental Elements of Statistics
3	Graphical Methods for Describing Sets of Data
4	Numerical Measures for Describing Sets of Data
5	Discrete Random Variables and Discrete Probability Distributions
6	Continuous Random Variables and Continuous Probability Distributions
7	Sampling Distributions
8	Midterm Exam
9	Estimation with Confidence Intervals
10	Tests of Hypothesis: One Sample
11	Tests of Hypothesis: Two Samples
12	Analysis of Variance
13	Introduction to Regression Analysis
14	The Coefficient of Correlation and Determination

Recomended or Required Reading

Textbook(s): McClave J.T., Sincich T., Statistics, 11th edition, Prentice Hall,USA, 2008.
Supplementary Book(s):
Ryan,B., Joiner, B.L. & Cryer, J.D., MINITAB Handbook, 5th edition, Brooks/Cole - Thomson Learning Inc, Duxbury, Canada, 2005

Planned Learning Activities and Teaching Methods

Lecture and 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 * 0.30 +ASG * 0.20 +FIN * 0.50
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.30 + ASG * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: sedat.capar@deu.edu.tr
Tel: 0232 301 86 01

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	4	56
Preparation for midterm exam	1	36	36
Preparation for final exam	1	46	46
Preparations before/after weekly lectures	14	2	28
Final	1	2	2
Midterm	1	2	2
TOTAL WORKLOAD (hours)			170

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.3	PO.4	PO.5
LO.1	5	5	5	5
LO.2	5	5	5	5
LO.3	5	5	5	5
LO.4	5	5	5	5
LO.5	5	5	5	5
LO.6	5	5	5	5
LO.7	5	5	5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION