BA2312 Business Research MethodsBahçeşehir UniversityDegree Programs ENERGY SYSTEMS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ENERGY SYSTEMS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BA2312 Business Research Methods Spring 3 0 3 4
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ELİF OKAN
Course Lecturer(s): Assoc. Prof. GÜLBERK GÜLTEKİN SALMAN
Prof. Dr. İPEK ALTINBAŞAK FARİNA
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).

Learning Outcomes

The students who have succeeded in this course;
At the end of the course, students will be able to:
1. increase their understanding and knowledge of different approaches and choices (such as philosophical lenses, research designs, data collection processes and analysis) to research methodology in social sciences.
2. increase their ability to conduct all aspects of research methodology (research design, data collection, data analysis, drawing conclusions, publishing articles).
3. learn to run an analysis in SPSS programme.

Course Content

The teaching methods of the course are Lecture, Problem Solving.
The Business Research Methods course teaches students how to solve business problems using scientific research methods. It focuses on both qualitative and quantitative research techniques, along with data collection and analysis processes. Students develop skills in designing research projects and reporting their findings.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to the course Discussion on basic terms of research
2) Chapter 1 - Introduction to research Information on databases Types of research-Classifications Method and theory (inductive and deductive reasoning)
3) Chapter 2-Formulation and clarifying research topic Formulating research ideas
4) Chapter 3-Critically reviewing the literature Formulating research questions
5) Chapter 4-Research philosophy Approaches to theory development
6) Chapter 5-Resarch design *Experimental, quasi experimental *Case study *Ethnography *Grounded theory
7) Chapter 13: Qualitative research: Data collection (interviews, observations)
8) Midterm Exam
9) Chapter 13: Qualitative research: Data analysis and trustworthiness of qualitative research
10) Chapter 13: Qualitative research: Data analysis and trustworthiness of qualitative research
11) Chapter 11: Quantitative research: Data Collection (selecting samples, questionnaires, variables, Measurement, formulating hypothesis)
12) Chapter 12: Quantitative research (Analysis, reliability and validity)
13) Quantitative research (SPSS practice) (Analysis-Getting data ready for analysis, data coding and editing data, descriptive statistics)
14) Quantitative research (SPSS practice) (Analysis, correlational analysis) Quantitative research, regression analysis

Sources

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

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 10
Homework Assignments 4 % 20
Midterms 1 % 20
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 13 39
Study Hours Out of Class 14 45
Homework Assignments 2 6
Quizzes 2 6
Midterms 1 2
Final 1 2
Total Workload 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
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.
2) Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
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.
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.
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.
6) Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems
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.
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.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
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.