MIT COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY

HUMAN-COMPUTER INTERACTION
FOR USER EXPERIENCE DESIGN

Go beyond the interface of human and computer interaction (HCI) with cutting-edge research that will shape the future of
user experience design

Duration

6 weeks, excluding
orientation

Effort

8-10 hours per week,
entirely online

Learning Format

Weekly modules,
flexible learning

Other Detail

Earn an MIT xPRO
certificate

YOU’LL WALK AWAY WITH:

1

The ability to integrate future-focused HCI thinking into your work, creating faster, simpler, and more intuitive experiences between humans and technology.

2

A deeper understanding of cutting-edge HCI concepts, from world-renowned experts, including the use of brain-controlled robots for an enhanced user experience.

3

An in-depth understanding of speech and vision tools gained through an exploration of eye-tracking and gaze-following technologies.

THIS COURSE IS FOR YOU IF:

 

  • You’re looking to expand your perspective by accessing cutting-edge research that’s changing the face of human-computer interaction

  • You want to build on your knowledge of UX design by learning to integrate human-computer interface thinking into your current work

  • You’re invested in empowering yourself through HCI thinking to conceptualize enhanced interface designs within your industry

COURSE CURRICULUM

Over the duration of this online program, you’ll work through the following modules:

Module 1
The Essence of Interaction

An introduction to HCI and UI and the criteria, multiple levels, and conceptual aspects to consider in interaction design.

Module 2
Natural Interaction

An overview of natural user interfaces and the design principles guiding them.

Module 3
Collaborative Computer Interaction

Learn about the democratization of computer interaction and some of the tools that can be used for this purpose.

Module 4
Intelligent User Interfaces and Prototyping

Discover how high-performance applications can improve usability and how prototyping can be applied.

Module 5
Multimedia, Speech, and Vision in Computer Interaction

Learn about vision capabilities, gaze-following, intuitive media authoring, and language learning in machines and computer

Module 6
Future Directions of UI

Explore the future and look at the directions of user interaction; learn about human-robot interaction, virtual reality, and more.

 

Please note that module titles and their contents are subject to change during course development.

YOUR COURSE FACULTY

Daniela Rus

Professor of Electrical Engineering and Computer Science, and Director, MIT CSAIL

Prior to her appointment as director, Rus served as associate director of MIT CSAIL from 2008 to 2011, and as the co-director of MIT CSAIL’s Center for Robotics from 2005 to 2012. She also leads MIT CSAIL’s Distributed Robotics Laboratory. Rus is the first woman to serve as director of MIT CSAIL and its predecessors — the AI Lab and the Lab for Computer Science.

Daniel Jackson

Professor of Computer Science, Department of Electrical Engineering and Computer Science, MIT CSAIL

Jackson’s current focus is on new approaches to software design for improved usability and reduced development cost, new programming paradigms, and security-by-design for cyberphysical systems and web apps. He has general interests in lightweight formal methods (such as Alloy) and the role of design thinking in software.

Randall Davis

Professor of Electrical Engineering and Computer Science, Department of Electrical Engineering and Computer Science, MIT CSAIL

In 1978, Davis joined the faculty of the Electrical Engineering and Computer Science Department at MIT, where from 1979 to 1981 he held an Esther and Harold Edgerton Endowed Chair. He is currently a full professor in the department, and a research director of MIT CSAIL. He and his research group are developing advanced tools that permit natural, sketch-based interaction with software, particularly for computer-aided design and design rationale capture.

David Karger

Professor of Computer Science, Department of Electrical Engineering and Computer Science, MIT CSAIL

Karger’s primary interest is in developing tools that help individuals manage information better. This involves studying people and current tools to understand where the problems are, creating and evaluating tools that address those problems, and deploying those tools to learn how people use them and iterate the whole process. He draws on whatever fields can help: information retrieval, machine learning, databases, and algorithms, but most often human-computer interaction.

Wojciech Matusik

Associate Professor, Department of Electrical Engineering and Computer Science, MIT CSAIL

Matusik’s research interests are in direct digital manufacturing and computer graphics. In 2004, he was named one of the world's top 100 young innovators by MIT Technology Review. In 2009, he received the Significant New Researcher Award from ACM Siggraph. In 2012, Matusik received the DARPA Young Faculty Award, and he was named a Sloan Research Fellow.

Stefanie Mueller

Assistant Professor, Department of Electrical Engineering and Computer Science, MIT CSAIL

Mueller develops novel hardware and software systems that advance personal fabrication technologies. She publishes her work at the most selective HCI venues, CHI and UIST, and has received a best paper award and two best paper nominees in the past. She is also serving on the CHI and UIST program committees as an associate chair.

Frédo Durand

Professor, Department of Electrical Engineering and Computer Science, MIT CSAIL

Durand works both on synthetic image generation and computational photography, where new algorithms afford powerful image enhancement and the design of imaging systems that can record richer information about a scene. His research interests span most aspects of picture generation and creation, with emphasis on mathematical analysis, signal processing, and inspiration from perceptual sciences.

Jim Glass

Senior Research Scientist, MIT CSAIL

Glass leads the Spoken Language Systems Group in the MIT Computer Science and Artificial Intelligence Laboratory. He is also a member of the Harvard-MIT Health Sciences and Technology faculty. Since obtaining his SM and PhD degrees at MIT in electrical engineering and computer science, his research has focused on automatic speech recognition, unsupervised speech processing, and spoken language understanding.

– Amaia Azua, Associate Business Consultant, PwC image

“The Human-Computer Interaction for User Experience Design online short course gave me the opportunity to interact with professionals from all over the globe, with different backgrounds and perspectives, leading to enriching and interesting discussions. It’s a great opportunity to have insights coming from MIT CSAIL researchers, whose work has proven to be not just futuristic, but incredibly complex and attractive too!”

– Amaia Azua, Associate Business Consultant, PwC

AN ONLINE EDUCATION THAT SETS YOU APART

This MIT CSAIL online program is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals who have already benefited from the opportunity to:

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Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities, entirely online and in your own time

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Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step

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Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones

VIEW COURSE BROCHURE

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