Data Ethics & Security
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Data Ethics & Security
Course level: Undergraduate
This course provides students with an overview of the legal and ethical implications of data. Students will examine the legal and ethical issues that must be considered throughout the lifecycle of data analytics including collection, storage, analysis and presentation. Other topics include, privacy, security, classification, and discrimination. After completion of this course, students will be able to understand the legal and ethical considerations that are necessary when utilizing particular types of data, collection methods, and analysis techniques.
What you'll learn
Course skills and outcomes
- Differentiate between cybertechnology and cyberethics.
- Compare and contrast ethics and morality.
- Specify a single comprehensive framework that incorporates key aspects of standard ethical theories.
- Differentiate between valid logical arguments, claims, and statements.
- Compare professional ethics with other kinds of applied ethics.
- Explain personal privacy in the context of cybertechnology and the digital world.
- Explain what is meant by security in cybertechnology.
- Differentiate between cybercrime and cyber-related crimes.
- Assess free speech in relation to international governmental efforts to protect secrets.
- Compare intellectual property with tangible property.
- Describe regulatory requirements related to Internet commerce.
- Explain how cybertechnology has changed the notion of work and the quality of life.
- Describe key similarities between traditional and online communities.
- Evaluate ethical controversies affecting social networks.
- Articulate ethical issues that may arise due to converging technologies.