Online courses directory (2511)

This course is intended for students pursuing research projects at the Media Laboratory. Topics include Media Lab research areas, documenting research progress, ethical issues in research; patents, copyrights, intellectual property, and giving oral, written, and online presentations of results. A final oral presentation is required. Enrollment limited with preference given to students in the Media Arts and Sciences freshman program.

This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

MAS.450 is a laboratory course about holography and holographic imaging.

This course teaches holography from a scientific and analytical point of view, moving from interference and diffraction to imaging of single points to the display of three-dimensional images. Using a "hands-on" approach, students explore the underlying physical phenomena that make holograms work, as well as designing laboratory setups to make their own images. The course also teaches mathematical techniques that allow the behavior of holography to be understood, predicted, and harnessed.

Holography today brings together the fields of optics, chemistry, computer science, electrical engineering, visualization, three-dimensional display, and human perception in a unique and comprehensive way. As such, MAS.450 offers interesting and useful exposure to a wide range of principles and ideas. As a course satisfying the Institute Laboratory Requirement, MAS.450 teaches about science, scientific research, and the scientific method through observation and exploration, hinting at the excitement that inventors feel before they put their final equations to paper.

This course examines the issues, principles, and challenges toward building relational machines through a combination of studio-style design and critique along with lecture, lively discussion of course readings, and assignments. Insights from social psychology, human-computer interaction, and design will be examined, as well as how these ideas are manifest in a broad range of applications for software agents and robots.

This course instructs students on how to develop technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and have internal mechanisms inspired by the useful roles emotions play.

This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature.

As the digital revolution brings with it radical changes in how and what we learn, people must continue to learn all the time. New technologies make possible new approaches to learning, new contexts for learning, new tools to support learning, and new ideas of what can be learned. This course will explore these new opportunities for learning with a special focus on what can be learned through immersive, hands-on activities. Students will participate in (and reflect on) a variety of learning situations, and will use Media Lab technologies to develop new workshops, iteratively run and refine the workshops, and analyze how and what the workshop participants learn.

This course explores the design of innovative educational technologies and creative learning environments, drawing on specific case studies such as the LEGO® Programmable Brick, Scratch software and Computer Clubhouse after-school learning centers. Includes activities with new educational technologies, reflections on learning experiences, and discussion of strategies and principles underlying the design of new tools and activities.

This class investigates cognitive science and technology as it is applied to the industrial design process. The class introduces prototyping techniques and approaches for objective evaluation as part of the design process. Students practice evaluating products with mechanical and electronic aspects. Evaluation processes are applied to creating functioning smart product prototypes. This is a project oriented subject that draws upon engineering, aesthetic, and creative skills. It is geared toward students interested in creating physical products which encompass electronics and computers, aimed at including them in smart scenarios. Students in the class will present readings, learn prototyping skills, create a product prototype, and complete a publication style paper.

This course illuminates current theories about autism together with challenges faced by people on the autism spectrum. Theories in communicating, interacting socially, managing cognitive and affective overload, and achieving independent lifestyles are covered. In parallel, the course presents state-of-the-art technologies being developed for helping improve both theoretical understanding and practical outcomes. Participants are expected to meet and interact with people on the autism spectrum. Weekly reading, discussion, and a term project are required.

This course is a broad introduction to a host of sensor technologies, illustrated by applications drawn from human-computer interfaces and ubiquitous computing. After extensively reviewing electronics for sensor signal conditioning, the lectures cover the principles and operation of a variety of sensor architectures and modalities, including pressure, strain, displacement, proximity, thermal, electric and magnetic field, optical, acoustic, RF, inertial, and bioelectric. Simple sensor processing algorithms and wired and wireless network standards are also discussed. Students are required to complete written assignments, a set of laboratories, and a final project.

This seminar explores approaches to representation for distributed cinematic storytelling. The relationship between story creation and story appreciation is analyzed. Readings are drawn from literary and cinematic criticism, as well as from descriptions of interactive, distributed works. Students analyze a range of storytelling techniques; they develop a proposal using visualization techniques; and they prototype a working story experience, culminating in a final project displayed at the end of the semester.

This course provides a hands-on introduction to the resources for designing and fabricating smart systems, including CAD/CAM/CAE; NC machining, 3-D printing, injection molding, laser cutting; PCB layout and fabrication; sensors and actuators; analog instrumentation; embedded digital processing; wired and wireless communications. This course also puts emphasis on learning how to use the tools as well as understand how they work.

This class deals with interactive art. Visiting artists will discuss their work from a theoretical and practical perspective. Discussions of the history of interactive digital art and contemporary issues in the field will take place. Students will develop an interactive art project for a final exhibition or submit a short paper.

Networks are a ubiquitous way to represent complex systems, including those in the social and economic sciences. The goal of the course is to equip students with conceptual tools that can help them understand complex systems that emerge in both nature and social systems. This is a course intended for a general audience and will discuss applications of networks and complexity to diverse systems, including epidemic spreading, social networks and the evolution of economic development.

This project-based course will explore the future of textiles, focusing particularly on blending rich crafting traditions with new technologies. Topics will include textile-based electronics, textile fabrication, algorithmic pattern design, and composites. We will experiment with a wide range of fibers, yarns, and fabrics including traditional materials like wool and cotton as well as metal fibers and yarns, fusible plastics, papers, and resins. We will also explore techniques like felting, laser cutting, CNC knitting, digital printing, and CNC embroidery. Students will complete weekly hands-on assignments and a final project.