GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

ADVANCED COMPUTER BASED STATISTICAL APPLICATIONS/4130315

Course Title:	ADVANCED COMPUTER BASED STATISTICAL APPLICATIONS
Credits	3	ECTS	7.5
Semester	1	Compulsory/Elective	Compulsory

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Assoc.Prof.Adnan KAN

-- WEB SITE(S) OF LECTURER(S)

-- EMAIL(S) OF LECTURER(S)

adnankan@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Demonstrate an understanding of basic descriptive statistics.
Demonstrate an understanding of the basic inferential paradigm.
Demonstrate an understanding of univariate group contrast inferential statistical procedures.
Demonstrate an understanding of univariate correlational inferential procedures.
Use the computer to accomplish basic and intermediate statistical analysis.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face.

-- PREREQUISITES AND CO-REQUISITES

Intermediate level statistics and SPSS skills.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	Review of Basic Statistics and Statistical Computing;
2. Week	Simple Linear Regression: Estimation and Hypothesis Testing
3. Week	Multiple Linear Regression: The Basics
4. Week	Multiple Linear Regression: The Finer Points
5. Week	Analysis of Variance: The Basics of the One-Way Model
6. Week	Analysis of Variance: The Basics of the One-Way Model
7. Week	Interpretation of the One-Way Model
8. Week	MID-TERM EXAM
9. Week	Simple Repeated Measures Analysis of Variance
10. Week	Multiple Comparison Procedures
11. Week	A Priori Planned Comparisons
12. Week	Two-Way Analysis of Variance: The Basics
13. Week	Nonparametric Analysis of Variance
14. Week	Covariance analysis and more complex linear designs
15. Week	Evaluation of course
16. Week	Final Exam

-- RECOMMENDED OR REQUIRED READING

Özdamar, K. (1999). Paket Programlar ile İstatistiksel Veri Analizi 1. Eskişehir: Kaan Kitabevi. Özdamar, K. (1999). Paket Programlar ile İstatistiksel Veri Analizi 2. (Çok Değişkenli Analizler). Eskişehir: Kaan Kitabevi.

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture

-- WORK PLACEMENT(S)

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	20
Assignment	2	50
Exercises	0	0
Projects	0	0
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		70
Contribution of Final Examination to Overall Grade		30

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	13	2	26
Practising Hours of Course Per Week	13	2	26
Reading	15	2	30
Searching in Internet and Library	15	2	30
Designing and Applying Materials			0
Preparing Reports	2	5	10
Preparing Presentation	13	1	13
Presentation	13	1	13
Mid-Term and Studying for Mid-Term	1	4	4
Final and Studying for Final	1	4	4
Other	4	8	32
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1					X
2					X
3					X
4					X
5					X
6					X
7					X
8						X
9						X
10						X
11					X
12					X
13					X
14					X
15					X
16					X

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR