The course on Big Data Ethics aims to provide students with a comprehensive understanding of ethical issues arising from the application of big data technologies. In today's data-driven world, the widespread use of big data presents enormous opportunities along with significant ethical challenges. This course explores fundamental ethical principles related to big data, including privacy protection, data bias, transparency and accountability, ownership and control, among other core issues. It emphasizes the integration of theory with practical case studies to analyze the ethical implications of big data applications across various domains. Students will learn how to identify and address ethical dilemmas inherent in big data applications, understand the basic frameworks of data governance, and develop strategies to tackle ethical challenges posed by emerging technologies. Through this course, students will not only enhance their technical skills but also gain a holistic perspective on the ethical dimensions of big data, enabling them to make responsible decisions in complex environments. The goal is to equip students with the ability to balance technological innovation with social responsibility, contributing to the creation of a more just, transparent, and responsible data-driven society. |
