Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / İŞL343 - BUSINESS ADMINISTRATION

Code: İŞL343

Course Title: QUANTITATIVE RESEARCH METHODS AND APPLICATIONS

Theoretical+Practice: 3+0

ECTS: 4

Year/Semester of Study

3 / Fall Semester

Level of Course

1st Cycle Degree Programme

Type of Course

Optional

Department

BUSINESS ADMINISTRATION

Pre-requisities and Co-requisites

None

Mode of Delivery

Face to Face

Teaching Period

14 Weeks

Name of Lecturer

AYLİN ALKAYA (aylin@nevsehir.edu.tr)

Name of Lecturer(s)

Language of Instruction

Turkish

Work Placement(s)

None

Objectives of the Course

The aim of this course is to enable students to make the best research in their fields. The aim is to equip students with basic applications related to data and data analysis.To enable students to participate in student congresses.

Learning Outcomes		PO	MME
The students who succeeded in this course:
LO-1	Students can make the best research in the field of business.	PO-	Presentation Performance Project
LO-2	They can be equipped with basic applications related to research and data analysis.	PO-	Presentation Performance Project
PO: Programme Outcomes MME:Method of measurement & Evaluation

Course Contents
Dimensions of research in the field of business, Determining research topics with students within the scope of business, Creation of student groups, Gathering information and data on the research subject, Analysis of data and reporting by interpreting data, Participating in student congresses with research work prepared within the scope of the course, Presentation of the prepared research work in the seminar hall.
Weekly Course Content
Week	Subject	Learning Activities and Teaching Methods
1	Explaining the scope of the course, Learning business field research methods	Lecturing and discussion
2	Determining the subject of the students in the field of business, Determining the subjects of the students, Creation of student groups, Conducting a survey	Lecturing and discussion,
3	Giving information about research methods for determined subjects Survey form data entry Learning data entry of survey	Lecturing, discussion and computer application
4	Creating tables and drawing graphs	Lecturing, discussion and computer application
5	Giving information about statistical tests	Lecturing anddiscussion
6	Chi-square tests	Lecturing, discussion and computer application
7	Application of tests on student studies	Lecturing, discussion and computer application
8	mid-term exam
9	Parametric tests - t test	Lecturing, discussion and computer application
10	Parametric tests - Analaysis of variance test	Lecturing, discussion and computer application
11	Parametric tests - Analaysis of variance test	Lecturing, discussion and computer application
12	Parametrik olmayan testler	Lecturing, discussion and computer application
13	Cluster Analysis	Lecturing, discussion and computer application
14	Preparing students for student congresses	Lecturing, discussion and computer application
15	Presentation of student studies	Lecturing and discussion
16	final exam
Recommend Course Book / Supplementary Book/Reading
1	Hardy, M. & Alan Bryman, 2014. The hand book of Data Analysis, Sage publications Inc.California 91320
2	Provost, F. & Tom Fawcett, 2013. Data Science for Business, O’Reilly Media Inc. CA, 95472.
Required Course instruments and materials
Reference books, blackboard, computer and statistical software

Assessment Methods
Type of Assessment	Week	Hours	Weight(%)
mid-term exam	1	2	40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation	1	2
5.Report	1	2
6.Workshop	1	1
7.Performance Project	1	1
8.Term Paper
9.Project
final exam	1	2	60

Student Work Load
Type of Work	Weekly Hours	Number of Weeks	Work Load
Weekly Course Hours (Theoretical+Practice)	3	16	48
Outside Class
a) Reading	4	4	16
b) Search in internet/Library	4	4	16
c) Performance Project	3	4	12
d) Prepare a workshop/Presentation/Report	2	1	2
e) Term paper/Project			0
Oral Examination			0
Quiz			0
Laboratory exam			0
Own study for mid-term exam	2	4	8
mid-term exam	2	1	2
Own study for final exam	4	4	16
final exam	2	1	2
			0
			0
Total work load;			122