Students will learn a systematic approach for visualization analysis and design to explore complex data in this course. The first part of the course focuses on teaching data visualization principles, including human perception, different visual encoding channels, and data and task abstraction techniques. The second part of the course will cover multiple aspects of data presentation for exploring patterns in data, including a wide range of statistical graphics and information visualization techniques.

Students will learn a systematic approach for visualization analysis and design to explore complex data in this course. The first part of the course focuses on teaching data visualization principles, including human perception, different visual encoding channels, and data and task abstraction techniques. The second part of the course will cover multiple aspects of data presentation for exploring patterns in data, including a wide range of statistical graphics and information visualization techniques.

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.

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.

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.