Basic Information
Language of Instruction:
English
Instructor:
Dr. Öğr. Üyesi Hamid FARROKH GHATTE
Course Objectives
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.
Course Content
This course teaches research techniques to graduate students to gain knowledge, awareness, and sensitivity about publications and studies, following research and publication ethics.Basic concepts of scientific research, classification of scientific research, scientific research techniques, collecting data, hypotheses and goals, experimental designs, data analyses, general ethical principles, how scientific validity and reliability can be achieved, the most common research ethics violations, and their prevention methods.
Course Books / Materials / Recommended Resources
[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 and Artificial Intelligence
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.