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Software is everywhere and many developers aren't aware of how to properly write secure code. We will cover practical skills in reverse engineering and binary exploitation and delve into the techniques used by adversaries for some of the largest security incidents of the century. With a strong understanding of attack patterns, students will be able to implement more secure coding practices into their own code and defend against these attacks.

Software is everywhere and many developers aren't aware of how to properly write secure code. We will cover practical skills in reverse engineering and binary exploitation and delve into the techniques used by adversaries for some of the largest security incidents of the century. With a strong understanding of attack patterns, students will be able to implement more secure coding practices into their own code and defend against these attacks.

Introduction to core machine learning models and algorithms for classification, regression, dimensionality reduction and clustering. The course will cover the mathematical foundations behind the most common machine learning algorithms, and their effective use in solving real-world applications. Requires a strong background in mathematics and programming.

Introduction to core machine learning models and algorithms for classification, regression, dimensionality reduction and clustering. The course will cover the mathematical foundations behind the most common machine learning algorithms, and their effective use in solving real-world applications. Requires a strong background in mathematics and programming.

This course will teach the principles and practice of distributed systems as applied in today's cloud computing environments. The course will cover fundamental concepts in distributed computing including distributed clocks, consistency, fault tolerance, and consensus. The course will also cover popular cloud computing service models, related programming models, datacenter architectures, software-defined networking, and security and privacy issues in public clouds. The course will expose students to public cloud platforms such as Amazon EC2, Google Cloud Engine, Microsoft Azure etc.

This course will teach the principles and practice of distributed systems as applied in today's cloud computing environments. The course will cover fundamental concepts in distributed computing including distributed clocks, consistency, fault tolerance, and consensus. The course will also cover popular cloud computing service models, related programming models, datacenter architectures, software-defined networking, and security and privacy issues in public clouds. The course will expose students to public cloud platforms such as Amazon EC2, Google Cloud Engine, Microsoft Azure etc.