This class trains students to detect and analyze weaknesses and vulnerabilities in target systems as a method of assessing the security of a system. Such techniques have various names, including penetration testing and ethical hacking. We focus on tools and techniques that an attacker would employ but from the perspective of an ethical system administrator. Broad topics include: tools and techniques for penetration testing and attacks, information gathering, social engineering, and defenses.

This class trains students to detect and analyze weaknesses and vulnerabilities in target systems as a method of assessing the security of a system. Such techniques have various names, including penetration testing and ethical hacking. We focus on tools and techniques that an attacker would employ but from the perspective of an ethical system administrator. Broad topics include: tools and techniques for penetration testing and attacks, information gathering, social engineering, and defenses.

Using computers for system design and decision making under uncertainty. Monte Carlo methods, modeling discrete-event stochastic systems, random number generation, time-advance mechanisms, output analysis, simulation-based optimization.

Using computers for system design and decision making under uncertainty. Monte Carlo methods, modeling discrete-event stochastic systems, random number generation, time-advance mechanisms, output analysis, simulation-based optimization.

This course is intended to cover information retrieval and other information processing activities, from an applied perspective. There will be numerous programming projects and quizzes. Topics will include: search engine construction (document acquisition, processing, indexing, and querying); learning to rank; information retrieval system performance evaluation; classification and clustering; other machine learning information processing tasks; and many more.

This course is intended to cover information retrieval and other information processing activities, from an applied perspective. There will be numerous programming projects and quizzes. Topics will include: search engine construction (document acquisition, processing, indexing, and querying); learning to rank; information retrieval system performance evaluation; classification and clustering; other machine learning information processing tasks; and many more.

The structure of digital computers from the logic level to the system level. Topics include: the design of components such as arithmetic units; the organization of sub-systems such as the memory; the interplay between hardware and software; the von Neumann architecture and its performance enhancements such as cache memory, instruction and data pipelines, coprocessors, and parallelism.

The structure of digital computers from the logic level to the system level. Topics include: the design of components such as arithmetic units; the organization of sub-systems such as the memory; the interplay between hardware and software; the von Neumann architecture and its performance enhancements such as cache memory, instruction and data pipelines, coprocessors, and parallelism.

Introduces students to the principal activities and state-of-the-art techniques involved in developing high-quality software systems. Topics include: requirements engineering, formal specification methods, design principles & patterns, verification & validation, debugging, and automated software engineering.

Introduces students to the principal activities and state-of-the-art techniques involved in developing high-quality software systems. Topics include: requirements engineering, formal specification methods, design principles & patterns, verification & validation, debugging, and automated software engineering.