Genetics and Bioengineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | BBA281 | ||||||||
Course Name: | Research Methods | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Compulsory | ||||||||
Course Level: |
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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 |
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Course Assistants: |
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: | 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. |
The students who have succeeded in this course;
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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 |
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 |
Learning Outcomes | 1 |
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3 |
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Program Outcomes | ||||||||||
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | ||||||||||
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | ||||||||||
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | ||||||||||
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | ||||||||||
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics. | ||||||||||
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | ||||||||||
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | ||||||||||
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications. | ||||||||||
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development. | ||||||||||
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | |
2) | The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | |
3) | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | |
4) | Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | |
5) | Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics. | |
6) | The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | |
7) | Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | |
9) | Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications. | |
10) | Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development. | |
11) | Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions. |
Individual study and homework | |
Project preparation |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Oral Examination | |
Homework | |
Reporting |
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 |
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 |