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
ELECTIVE

Offered By

Management Information Systems Non-Thesis (Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems Non-Thesis (Evening)

Course Objective

The course aims to deliver scientific research methodology and statistical theory by using a selected program package to the students.

Learning Outcomes of the Course Unit

1   To be able to define a problem scientifically
2   To be able to carry out a scientific research
3   To be able to use statistical methods
4   To be able to apply statistical methods for problem solving
5   To be able to assess research methods, tools, and technologies critically

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Decision tree
2 Linear regression and correlation
3 Statistical analysis with Excel
4 Statistical analysis using SPSS
5 Matlab
6 Student Project Presentations 1
7 Student Project Presentations 2
8 Student Project Presentations 3
9 Student Project Presentations 4
10 Applications
11 Applications
12 Applications
13 Applications
14 Applications

Recomended or Required Reading

Main textbooks:
1. Paul Newbold, Işletme ve Iktisat için Istatistik, Ekonomik Baskı, 4. Basımdan Çeviri, Çeviren: Ümit Şenesen
2. Prof. Dr. Halil Seyidoğlu, Bilimsel Araştırma Yazma
3. Prof. Dr. Muzaffer Üstdal, Doç. Dr. Kural Gülbahar, Bilimsel Araştırma Nasıl Yapılır Nasıl Yapılır, Beta Basım Yayım
Helping resources:
1. Prof. Dr. Kazım Özdamar, Paket Programlar Ile Istatistiksel Veri Analizi, Kaan Kitabevi
2. Prof. Dr. Fikret Ikiz, Prof. Dr. Halis Püskülcü, Prof. Dr. Şaban Eren, Istatistiğe Giriş, IBM SPSS Çözümlemeleri Ile, 8. Baskı, Barış Yayınları Fakülteler Kitabevi

Planned Learning Activities and Teaching Methods

The activities are detailed in the 'Assessment Methods' and 'Workload Calculation' sections.

Assessment Methods

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


Further Notes About Assessment Methods

None

Assessment Criteria

Students' performances are measured with a midterm exam and a final exam.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department apply.

Contact Details for the Lecturer(s)

Prof.Dr. Vahap TECIM
vahap.tecim@deu.edu.tr

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 92

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155555555555
LO.255555555555
LO.355555555555
LO.455555555555
LO.555555555555

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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