MATHEMATICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
BA2312	Business Research Methods	Spring	3	0	3	4

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. AHMET ERKUŞ
Course Lecturer(s):	Dr. Öğr. Üyesi GÜLBERK GÜLTEKİN SALMAN Prof. Dr. İPEK ALTINBAŞAK FARİNA
Recommended Optional Program Components:	None
Course Objectives:	This course is intended primarily for those who expect business and marketing intelligence to be an important part of their professional work. This includes not only those who plan to do marketing research, but those planning to go into other marketing jobs or who expect to be users of marketing research or clients of research departments or research vendors. Thus this course is aimed at the manager who is the ultimate user of business and marketing research and who is responsible for determining the scope and direction of research activities conducted on his/her behalf.

Learning Outcomes

The students who have succeeded in this course;
I. Helps students understand the business and marketing research process and why it takes time and money to do it right.
II. Develops ability to think conceptually and develop abstract ideas or concepts to more concrete solutions or results.
III. Improves teaming and group effectiveness skills.
IV. Develops skills in obtaining and interpreting secondary data using internet and library sources.
V. Develops ability to conduct primary and secondary research, analyze results, develop findings, report and interpret results.
VI. Improves written and verbal communication skills.
VII. Builds up the knowledge of data analysis techniques.

Course Content

1st Week: Introduction and Early Phases of Business/Marketing Research
2nd Week: Defining the Business/Marketing Research Problem
3rd Week: Research Design
4th Week: Exploratory Research Design: Secondary Data and Qualitative Research
5th Week: Descriptive Research Design: Survey and Observation
6th Week: Measurement and Scaling: Fundamentals and Comparative Scaling
7th Week: Measurement and Scaling: Noncomparative Scaling Techniques
8th Week: Midterm
9th Week: Questionnaire Form Design
10th Week: Sampling: Design and Procedures
11th Week: Data Analysis: Examining Differences and Investigating Associations
12th Week: Qualitative Data Analysis
13th Week: Data Analysis by SPSS: Preliminary Steps
14th Week: Report writing

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	1st Week: Introduction and Early Phases of Business/Marketing Research
2)	2nd Week: Defining the Business/Marketing Research Problem
3)	3rd Week: Research Design
4)	4th Week: Exploratory Research Design: Secondary Data and Qualitative Research
5)	5th Week: Descriptive Research Design: Survey and Observation
6)	6th Week: Measurement and Scaling: Fundamentals and Comparative Scaling
7)	7th Week: Measurement and Scaling: Noncomparative Scaling Techniques
8)	8th Week: Review
9)	9th Week: Questionnaire Form Design
10)	10th Week: Sampling: Design and Procedures
11)	11th Week: Data Analysis: Examining Differences and Investigating Associations
12)	12th Week: Qualitative Data Analysis
13)	13th Week: Data Analysis by SPSS: Preliminary Steps
14)	14th Week: Report writing

Sources

Course Notes / Textbooks:	Required Text: Marketing Research: An Applied Orientation by Naresh K. Malhotra, Prentice-Hall, 6th edition.
References:	Optional Texts: Research Methods for Business by Uma Sekaran and Roger Bougie, Wiley and Sons, 5th edition, 2010. Research Methods for Business Students, Mark Saunders, Adrian Thornhill, and Philip Lewis, 5th edition, Pearson Education Europe, Middle East & Africa.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	5	% 25
Midterms	1	% 30
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	40
Study Hours Out of Class	15	56
Quizzes	5	5
Midterms	1	2
Final	1	2
Total Workload		105

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,	4
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.