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Data Security and Privacy for Practitioners
CS 6305
Erik Jonsson School of Engineering and Computer Science
The course will teach principles, tools, and trends for data and application security and privacy. Topics to be covered include: confidentiality, privacy and trust management. Additionally, best practices and policies to promote secure databases, distributed systems, and applications such as social media systems, the cloud, and IoT systems will be covered. In addition, the privacy implications of data analytics and potential solutions will be discussed. Students will assess one system or application to identify potential vulnerabilities and identify possible remediations. The topics include an overview of common and emerging vectors of attack and the best practices for deterring them. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Offering Frequency: Each year
Grades: 116
Median GPA: A
Mean GPA: 3.874
Click a checkbox to add something to compare.
Data Security and Privacy for Practitioners
CS 6305
Erik Jonsson School of Engineering and Computer Science
The course will teach principles, tools, and trends for data and application security and privacy. Topics to be covered include: confidentiality, privacy and trust management. Additionally, best practices and policies to promote secure databases, distributed systems, and applications such as social media systems, the cloud, and IoT systems will be covered. In addition, the privacy implications of data analytics and potential solutions will be discussed. Students will assess one system or application to identify potential vulnerabilities and identify possible remediations. The topics include an overview of common and emerging vectors of attack and the best practices for deterring them. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Offering Frequency: Each year
Grades: 116
Median GPA: A
Mean GPA: 3.874
Click a checkbox to add something to compare.