Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Prof. Dr. ELİF OKAN |
Course Lecturer(s): |
Assoc. Prof. GÜLBERK GÜLTEKİN SALMAN
Prof. Dr. İPEK ALTINBAŞAK FARİNA
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Recommended Optional Program Components: |
None |
Course Objectives: |
The goal of this course is to provide students with basic concepts and awareness in research methodology, and help them to be aware of the different choices (ontological, epistemological, methodological and axiological) in research process that would impact upon research findings. This course help students on their way to conduct scientific research, which align with their own interest, as well as informing about reliability and validity concerns in research. It informs the basic steps of the scientific research process, covering areas such as nature of scientific research, clarifying research topic, critical review of literature, research philosophy and design, qualitative and quantitative data collection process, analysis of quantitative and qualitative data. This course also helps students to run an analysis (descriptive, correlational and regression) in sophisticated software programme (SPSS). |
Week |
Subject |
Related Preparation |
1) |
Introduction to the course
Discussion on basic terms of research |
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2) |
Chapter 1 - Introduction to research Information on databases
Types of research-Classifications Method and theory (inductive and deductive reasoning) |
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3) |
Chapter 2-Formulation and clarifying research topic
Formulating research ideas
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4) |
Chapter 3-Critically reviewing the literature
Formulating research questions |
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5) |
Chapter 4-Research philosophy
Approaches to theory development |
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6) |
Chapter 5-Resarch design
*Experimental, quasi experimental
*Case study
*Ethnography
*Grounded theory
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7) |
Chapter 13: Qualitative research: Data collection (interviews, observations) |
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8) |
Midterm Exam
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9) |
Chapter 13: Qualitative research: Data analysis and trustworthiness of qualitative research
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10) |
Chapter 13: Qualitative research: Data analysis and trustworthiness of qualitative research
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11) |
Chapter 11: Quantitative research: Data Collection (selecting samples, questionnaires, variables, Measurement, formulating hypothesis)
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12) |
Chapter 12: Quantitative research (Analysis, reliability and validity)
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13) |
Quantitative research (SPSS practice) (Analysis-Getting data ready for analysis, data coding and editing data, descriptive statistics)
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14) |
Quantitative research (SPSS practice) (Analysis, correlational analysis) Quantitative research, regression analysis
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Course Notes / Textbooks: |
Saunders, M. Lewis, P., Thornhill, A. (2016). Research methods for business students, 7th Edition, Pearson. |
References: |
Sekaran, U., and Bougie, R. (2016). Research methods for business: A skill building approach, 7th Edition, Wiley.
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches, 7th Edition, Pearson
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Program Outcomes |
Level of Contribution |
1) |
Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
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2) |
Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
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3) |
Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
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4) |
Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively. |
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5) |
Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering. |
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6) |
Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems |
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7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. |
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8) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
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9) |
Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications. |
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10) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions. |
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