COURSE UNIT TITLE

: RESEARCH METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISL 3001 RESEARCH METHODS COMPULSORY 3 0 0 4

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI ÖZDEMIR

Offered to

Business Administration
Business Administration (Evening)

Course Objective

This course aims to
Ensure the students be able to use the scientific research methods based on analitic thinking to solve the problems be faced about business administration.
Gain the students data collection, modeling, data analysis, reporting skills to solve the business problems in the scientific research methods process.

Learning Outcomes of the Course Unit

1   Define problems about business and make literature review about research topic
2   Define veriables about research topic.
3   Model and solve real problems about corresponding business functions
4   Hypothesize about research problems and analyze the business data by SPSS in order to test these hypothesis about research problems
5   Interpret and report analysis findings and results with scientific basis.
6   Using of analysis results in decision making process of businesses.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General Structure of Scientific Research
2 Adopting Research topic, Defining research s Problem Statement
3 Literature Review
4 Research Design: Defining Veriables
5 Research Design: Preparing Research Model
6 Determining the Population and the Sample of Research
7 Data and Data Resources
8 Validity and reliability in research
9 Managing Data and Data Organizing Menus at SPSS
10 Statistichal Data Analysis in Management Science and SPSS Applications: Descriptive Statistics
11 Statistichal Data Analysis in Management Science and SPSS Applications: Interpretive Statistics
12 Statistichal Data Analysis in Management Science and SPSS Applications: Inferential Statistics
13 Statistichal Data Analysis in Management Science and SPSS Applications: Creating Forecasting Model
14 Writing Research Report

Recomended or Required Reading

1. Yönetim Biliminde Ileri Araştırma Yöntemleri ve Uygulamalar, Beta Basım Yayım Dağıtım A.Ş. Istanbul, 2008-Yrd. Doç. Dr. Ali Özdemir
2. Işletme Istatistiği, Beta Basım Yayım Dağıtım A.Ş. Istanbul, 2007, Prof. Dr. Hülya TÜTEK & Prof. Dr. Şevkinaz GÜMÜŞOĞLU.

Planned Learning Activities and Teaching Methods

Lectures, Class Discussions, Questions-Answers, Data collection with survey, Data analysis with SPSS, Reporting, Homework presentation and various sample applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

- Doç. Dr. Ali Özdemir
E-mail: ali.ozdemir@deu.edu.tr 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
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 8 8
Preparation for final exam 1 8 8
Preparing assignments 0 0 0
Preparing presentations 0 0 0
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 102

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.11
LO.21
LO.31
LO.41
LO.51
LO.61

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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