DTSA 5302 Cybersecurity for Data Science
- Specialization: Core Concepts in Data Science
- Instructor: Dr. Al Pisano, Instructor
- Prior knowledge needed: General prerequisites for the MS-DS program (see prerequisite knowledge for degree admission)
Learning Outcomes
- Characterize the CIA principles and use them to classify a variety of cyber scenarios.
- Identify and disseminate vulnerabilities in the data security space- social (human) and technical (digital).
- Distinguish ethical boundaries of hacking and its applications.
- Explore professional cybersecurity networks and connect with experts from the field.
Course Content
In this module, you will learn the basics of cybersecurity and the CIA triad.
In this module, you will explore your Cyber Story and examine your pubic data profile.
This module explores the world of hacking, IoT and social engineering.
This session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.
You will connect with a cybersecurity expert , interview the contact, submit the text, audio or video of the interview and reflect on the experience and knowledge gained.
You will complete a peer reviewed project worth 28% of your grade. You must attempt the final in order to earn a grade in the course. If you've upgraded to the for-credit version of this course, please make sure you review the additional for-credit materials in the Introductory module and anywhere else they may be found.
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