COURSE UNIT TITLE

: ADVANCED RESEARCH METHODS IN SOCIAL SCIENCES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IŞL 6123 ADVANCED RESEARCH METHODS IN SOCIAL SCIENCES ELECTIVE 3 0 0 5

Offered By

Business Administration

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ALI ÖZDEMIR

Offered to

Business Administration

Course Objective

This course aims to ensure the students be able to use the scientific research methods with advenced analysis to solve the problems about business functions. To gain the students data collection, modelling, data analysis, reporting skills to solve the business problems in the scientifical research methods process.

Learning Outcomes of the Course Unit

1   Define financial, marketing, production or management functions problems, make literature review about research topic, able to design research proses
2   Model and solve real problems about corresponding business functions
3   Determine the data resources for the research
4   Able to collect data about research topic and analyse these data by package softwares with statistical and mathematical methods
5   Interpret and report the analyse findings and results with scientific basis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Course Description
2 Scientific Research, Core Concepts in Research Methodologies, Creation of Research Proposal
3 Designing the Research
4 Measuring and Scaling in Research, Data and Data Resources
5 Determining the population and the sample, determination of sample size and sample error
6 Managing data and data organizing menus in SPSS Programme, Statistical data analysis, Descriptive Statistics Analysis, Frequency Analysis
7 Comparing Means, Parametric Hypothesis Tests
8 Comparing Means, Parametric Hypothesis Tests
9 Linear Regression and Correlation Analysis, Logistic Regression Analysis
10 Factor Analysis, Reliability Analysis
11 Nonparametric Tests
12 Multivariable Data Analysis
13 Evaluating Research Findings, Writing and presentation of research report
14 Conclusion and Evaluation

Recomended or Required Reading

Textbook(s):
Yönetim Biliminde Ileri Araştırma Yöntemleri ve Uygulamalar, Doç.Dr. Ali.ÖZDEMIR, Beta Basım Yayım Dağıtım A.Ş., Istanbul, 2010
Supplementary Book(s):
All books and academic journals about research methods

Planned Learning Activities and Teaching Methods

Lectures, Class Discussions, Questions-Answers, Homework Presentations and Sample Applications

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.
It's expected to obey scientific research rules and ethics in the preparation of homework presentations
It's expected that to support the homework presentations with business applications and software analysis.

Contact Details for the Lecturer(s)

Doç.Dr. Ali Özdemir
Dokuz Eylül Üniversitesi Iktisadi ve Idari Bilimler FAkültesi Işletme Bölümü Sayısal Yöntemler Anabilim Dalı
Office No: 332 Tel: (232)3010612 e-mail: ali.ozdemir@deu.edu.tr
Personal Web: http://kisi.deu.edu.tr/ali.ozdemir

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparing presentations 1 10 10
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparations before/after weekly lectures 14 2 28
Preparing assignments 1 25 25
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 135

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.11
LO.211
LO.311
LO.41
LO.51