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

Ders Genel Tanıtım Bilgileri

Course Code:

BA2312

Ders İsmi:

Business Research Methods

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	4

Language of instruction:

English

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Non-Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. AHMET ERKUŞ

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

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.

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

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

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.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

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

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	2
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.	2
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

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

İş Yükü ve AKTS Kredisi Hesaplaması

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