Food Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

BBA281

Course Name:

Research Methods

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

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 :

Dr.Öğr.Üyesi FATMA SEBLA UZUNTEPE

Course Lecturer(s):

Dr.Öğr.Üyesi FATMA SEBLA UZUNTEPE
Assoc. Prof. OYA KENT BIRIK
Dr.Öğr.Üyesi ÇAĞLAR AKAR

Course Assistants:

Course Objective and Content

Course Objectives:

Introduction to the process of conducting research; steps in the process of research; identifying a hypothesis and research problem; creating research questions; reviewing literature; ethics of research; qualitative research: essence of qualitative data, sampling, collection techniques; interpreting qualitative data: qualitative data analysis procedures, coding, thematic development; quantitative research: essence of quantitative data, collection and analysis techniques, sampling, data collection instruments; applied statistics: identifying the dependent and independent variables, confidence levels; descriptive statistics; inferential statistics: drawing inference from data, modeling assumptions, identifying patterns, data analysis; regression analysis; SPSS application; APA writing styles, taxonomy of research, research project presentation.

Course Content:

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) To make preliminary research design in their working area
2 - Skills
Cognitive - Practical
1) Identify and collect data required for research
2) Analyzing the data, interpreting and reporting the results of the analysis
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	• Explanation of the content of the course. • Introduction to research management process. • Stages of research. • Course overview. • Introduction to research management process. • Stages of research.	No
2)	• Determining the research question and hypothesis. • Creating research questions. • Determining the research question and hypothesis. • Creating research questions.	No
3)	• Literature review. • Ethics in research. • Literature review. • Ethics in research.	No
4)	• Qualitative research: the basis of qualitative data, sampling, data collection techniques. • Qualitative research: the basis of qualitative data, sampling, data collection techniques.	No
5)	• Interpreting qualitative data: qualitative data analysis methods. • Interpreting qualitative data: qualitative data analysis methods.	No
6)	• Interpreting qualitative data: qualitative data analysis methods, coding, theme development.	No
7)	Midterm	No
8)	• Quantitative research: the basis of quantitative research, data collection and analysis techniques, sampling, data collection tools.	No
9)	• Applied statistics: determination of dependent and independent variables, confidence interval	No
10)	• Descriptive statistics.	No
11)	• Descriptive statistics; inferential statistics: making inference from data, modeling assumptions, data analysis.	No
12)	• SPSS application.	No
13)	• APA spelling rules. • Research taxonomy. • Presentation of research project.	No
14)	• Presentation of research project.	No
15)	Final Exam	No

Sources

Course Notes / Textbooks:	Kitap Adı: Bilimsel Araştırma Yöntemleri Yazarlar: Şener Büyüköztürk Özcan E. Akgün Şirin Karadeniz Funda Demirel Ebru Kılıç Yayın Evi: Pegem Akademi Yayıncılık
References:	Yardımcı Kitap Adı: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches Yazarı: John Creswell Yayın Evi: SAGE Publications, Inc; Fourth Edition

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Has sufficient background in mathematics, science and engineering related fields.
2)	Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3)	Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4)	Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5)	Selects and uses the modern techniques and tools necessary for engineering applications.
6)	Design experiments, conduct experiments, collect data, analyze and interpret results.
7)	Works individually and in multi-disciplinary teams.
8)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11)	Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12)	Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13)	Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14)	Selects and uses the modern techniques and tools necessary for engineering applications.
15)	Works individually and in multi-disciplinary teams
16)	Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17)	Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18)	Communicates using technical drawing.
19)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20)	Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21)	Has professional and ethical responsibility.
22)	Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23)	Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Learning Activity and Teaching Methods

Individual study and homework
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Oral Examination
Homework
Reporting

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 20
Midterms	1	% 30
Paper Submission	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 100
PERCENTAGE OF FINAL WORK		%
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Workload
Course Hours	15	45
Application	15	30
Study Hours Out of Class	15	30
Homework Assignments	15	15
Midterms	15	30
Final	15	45
Total Workload		195