Course Contents

This course aims to present a basic knowledge of scientific research, the planning of studies, data collection, experimental designs, and the regulations related to research ethics and publication ethics.This course aims to present a basic knowledge of scientific research, the planning of studies, data collection, experimental designs, and the regulations related to research ethics and publication ethics.

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[1] Bright, Wilson, Jr., E. 1990. Introduction to Scientific Research. DoverPublications, Inc. New York.[2] Lawson, J. 2015. Texts in Statistical Science. Design and Analysis ofExperiments with R. CRC Press, Taylor & Francis Group. FL.[3] Israel, M. 2015. Research ethics and integrity for social scientists: BeyondRegulatory Compliance 2nd Edition. Kindle edition.Google Scholar web of science

Academic integrity requires students and researchers to adhere to ethical principles in knowledge production, and this framework is largely based on principles determined by the Council of Higher Education and the internal regulations of universities. The general approach is to encourage the transparent and responsible use of artificial intelligence rather than completely banning it; accordingly, students are expected to clearly state the situations in which they receive AI assistance and to improve the generated content with their own interpretations and analyses rather than directly copying it. Otherwise, using AI-generated texts without citing the source may be considered a violation of academic integrity and plagiarism.