Big Data for Reliability and Security - ECE69500
This course covers the theoretical aspects of big data for reliability and security and stresses the practical systems aspects of such techniques.
Credit Hours: 1
Instructor(s): Saurabh Bagchi
Phone: (765) 427-5708
Other Phone: (765) 494-1741
Email: sbagchi@purdue.edu
Office: EE 325
Web: Instructor Homepage
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:
- Foundational material on reliability and security
- Data analytic techniques for dependability
- Big data security and insecurity
- 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.