Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

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Data Analysis

Course Code	: EKO550
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 5

Objectives of the Course

Main objectives of this course are to introduce the skills that students will need for scientific information production methods which is one of the most significant requirements of the universities, and to develop the scientific research, research methods and techniques skills of students.

Course Content

Research, science, scientific method concepts, research problems and hypotheses, research models, data collection tools, data analysis techniques, reporting and providing reference.

Name of Lecturer(s)

Learning Outcomes

1.	A graduate of the course knows and comprehends the methods to product scientific information.
2.	A graduate of the course knows and applies defining a research problem and setting hypothesis.
3.	A graduate of the course knows how to collect, analyse and reporting the data, and applies
4.	Get in-depth understanding and interpretation on economic events
5.	Can make an analysis about subjects and can comment on economy

Recommended or Required Reading

1.	Balcı, A. Sosyal Bilimlerde Araştırma Yöntem, Teknik ve İlkeler, PegemA Yayıncılık, Ankara, 2006.

Weekly Detailed Course Contents

Week 1 - Theoretical

Basic Concepts on Science and Research

Week 2 - Theoretical

Defining Research Problem and Developing Hypothesis

Week 3 - Theoretical

Causality

Week 4 - Theoretical

Conceptualizing, Operationalizing

Week 6 - Theoretical

Empirical Method

Week 7 - Theoretical

Descriptive Method

Week 8 - Intermediate Exam

Mid Terms

Week 9 - Theoretical

Content Analysis, Field Research

Week 10 - Theoretical

Logic of Sample Choice

Week 11 - Theoretical

Inferential Statistics: Parametric Tests I

Week 12 - Theoretical

Inferential Statistics: Parametric Tests II

Week 13 - Theoretical

Nonparametric Tests

Week 14 - Theoretical

Research Design and Statistic Test Choice

Week 15 - Final Exam

Final Exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	15	3	3	90
Midterm Examination	1	10	2	12
Final Examination	1	20	2	22
TOTAL WORKLOAD (hours)				124

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10	PÇ-11	PÇ-12	PÇ-13
OÇ-1	4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-2	4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-3	4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-4	4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-5	4	4	4	4	4	4	4	4	4	4	4	4	4

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