Civil Engineering (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) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | ||||||||||
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | ||||||||||
4) Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||||||
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||||||
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||||||
9) Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||||||
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||||||
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; 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) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | |
4) | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | |
10) | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; 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 |