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Big Data for Reliability and Security

ECE69500

Credit Hours:

1

Start Date:

June 13, 2022

Learning Objective:

  • Formulate the reliability and the security requirements of a production system
  • Understand and develop big data techniques for improving reliability and security of computing systems
  • Construct software artifacts to instantiate the techniques for real-world datasets and under realistic conditions

Description:

This course covers the theoretical aspects of big data for reliability and security and stresses the practical systems aspects of such techniques. There are two challenge programming problems based on large real-world datasets that we have collected and curated. Topics:

  1. Foundational material on reliability and security
  2. Data analytic techniques for dependability
  3. Big data security and insecurity
  4. Case studies and challenge problems

Topics Covered:

Communications, Networking, Signal & Image Processing

Prerequisites:

Basic knowledge of probability and statistics; Python programming

Applied / Theory:

75 / 25

Homework:

Quizzes and programming assignments

Exams:

Final exam

Textbooks:

All reading materials will be provided within the course.

Computer Requirements:

ProEd Minimum Requirements:

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