ISLT281 Research methodsIstanbul Okan UniversityDegree Programs Mechatronics Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechatronics Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: ISLT281
Course Name: Research methods
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
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 : Assoc. Prof. AYNUR PALA
Course Lecturer(s): Dr.Öğr.Üyesi FATMA SEBLA UZUNTEPE
Assoc. Prof. AYNUR PALA
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: 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.

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


Sosyal Bilimlerde Araştırma Yöntemleri
Nicel, Nitel ve Karma Tasarımlar İçin Bir Rehber, Eğitim Kitabevi
Prof.Dr.Şebnem Aslan

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

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.

Course - Learning Outcome Relationship

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.

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