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
Duration: 2h 50m
In this module, you will learn the basics of cybersecurity and the CIA triad.
Duration: 3h
In this module, you will explore your Cyber Story and examine your pubic data profile.
Duration: 2h 40m
This module explores the world of hacking, IoT and social engineering.
Duration: 1h 50m
This session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.
Duration: 1h
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.
Duration: 1h
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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