This course aims to introduce students to the fundamental principles of scientific research methods (qualitative and quantitative research), to teach data collection techniques (survey, interview, etc.) in the fields of production and quality control, and to develop the ability to analyze the collected data with the support of modern artificial intelligence tools and transform it into technical/scientific reports. Within the scope of the course, students will learn both theoretically and through hands-on laboratory practice how to define a research problem within the framework of research ethics, conduct literature reviews, design questionnaires, and present results through professional presentations.

Introduction to scientific research methods, quantitative and qualitative research models; problem identification and hypothesis formulation in production and quality management; data collection methods and digital survey design (Google Forms, etc.); sampling selection, survey applications and field data collection processes; artificial intelligence-supported data analysis (statistical summaries for quantitative data, text analytics for qualitative data); the use of generative artificial intelligence in research processes (literature summarization, data cleaning assistance); academic/technical report writing rules; research ethics and plagiarism; visualization and presentation of research findings.