Dr. Shapiro's research focuses on the design of creative, playful, and educational technologies and environments for youth. He is particularly interested in creating technologies that empower kids from all ethnicities, genders, and economic backgrounds to learn computer science.
ATLS 4529 - Advanced Special Topics: Critical Perspectives in Technology
Primary Instructor
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Fall 2019
Analyzes critical perspectives in technology, art and media. Within these courses, students will develop vocabularies, theoretical perspectives and critical approaches relevant to technology and its effects on culture and society. May be repeated up to 9 total credit hours. Same as ATLS 5529.
ATLS 4889 - Interactive Machine Learning for Customizable and Expressive Interfaces
Primary Instructor
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Spring 2019
Introduces students to techniques for applying machine learning in the development of customizable human-computer interfaces. Students learn to process a wide variety of input data (e.g. video and accelerometer streams) using different machine learning algorithms to detect semantically meaningful events that can afford the construction of new interactive systems. Students complete substantial projections within the domains of assistive or creative technologies. Does not fulfill Breadth Requirement for CSEN graduate students. Same as CSCI 5880, CSCI 4889 and ATLS 5880.
ATLS 5529 - Advanced Special Topics: Critical Perspectives in Technology
Primary Instructor
-
Fall 2019
Analyzes critical perspectives in technology, art and media. Within these courses, students will develop vocabularies, theoretical perspectives and critical approaches relevant to technology and its effects on culture and society. May be repeated up to 9 total credit hours. Same as ATLS 4529.
ATLS 5880 - Interactive Machine Learning for Customizable and Expressive Interfaces
Primary Instructor
-
Spring 2019
Introduces students to techniques for applying machine learning in the development of customizable human-computer interfaces. Students will learn to process a wide variety of input data (e.g. video and accelerometer streams), using different machine learning algorithms to detect semantically meaningful events that can afford the construction of new interactive systems. They will complete substantial projections within the domains of assistive or creative technologies. Does not fulfill Breadth Requirement for CSEN graduate students. Same as ATLS 4889, CSCI 4889 and CSCI 5880.
CSCI 4830 - Special Topics in Computer Science
Primary Instructor
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Spring 2018 / Fall 2019
Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
CSCI 4889 - Interactive Machine Learning for Customizable and Expressive Interfaces
Primary Instructor
-
Spring 2019
Introduces students to techniques for applying machine learning in the development of customizable human-computer interfaces. Students learn to process a wide variety of input data (e.g. video and accelerometer streams) using different machine learning algorithms to detect semantically meaningful events that can afford the construction of new interactive systems. Students complete substantial projections within the domains of assistive or creative technologies. Does not fulfill Breadth Requirement for CSEN graduate students. Same as CSCI 5880, ATLS 4889 and ATLS 5880.
CSCI 4950 - Senior Thesis
Primary Instructor
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Spring 2018 / Fall 2018
Provides an opportunity for senior computer science majors to conduct exploratory research in computer science. Department enforced restriction, successful completion of a minimum of 36 credit hours of Computer Science coursework and approved WRTG. May be repeated up to 8 total credit hours.
CSCI 5880 - Interactive Machine Learning for Customizable and Expressive Interfaces
Primary Instructor
-
Spring 2019
Introduces students to techniques for applying machine learning in the development of customizable human-computer interfaces. Students will learn to process a wide variety of input data (e.g. video and accelerometer streams), using different machine learning algorithms to detect semantically meaningful events that can afford the construction of new interactive systems. They will complete substantial projections within the domains of assistive or creative technologies. Does not fulfill Breadth Requirement for CSEN graduate students. Same as CSCI 4889, ATLS 4889 and ATLS 5880.
CSCI 7000 - Current Topics in Computer Science
Primary Instructor
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Fall 2019
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.
