Human centered AI design for Digital Health (Wintersemester 2019/2020)

Lecturer: Dr. Jonathan Edelman

General Information

• Weekly Hours: 4
• Credits: 6
• Graded: yes
• Enrolment Deadline: 01.10.-30.10.2019
• Teaching Form: Seminar
• Enrolment Type: Compulsory Elective Module
• Course Language: English
• Maximum number of participants: 18

Programs, Module Groups & Modules

Description

Human Centered Design for Machine Learning in Digital Health is a hands-on studio course about shaping innovative products, services and systems. Through richly illustrated presentations, relevant theory, and hands on exercises, participants gain insight and experience with the foundations of design in the context of digital health, as well as understanding and practicing effective team interaction and communication.

Participants will be supported in exploring Human Centered Machine Learning in the context of structured group project work in relevant and leading edge Digital Health topics.

Learning goals:

Participants will learn principles and practices of human centered design in the context of relevant Machine Learning projects in Digital Health.

Conveyed competencies:

• Knowledge-related competencies: how design is an essential element in creating rich and engaging products, services and user experiences; how to make radical, relevant and rigorous innovation in the context of products, services, systems; and how to cultivate a culture of innovation.
• Methodological competencies: case study creation and analysis; synthesis; prototyping and testing; video prototyping for ideation and communication; design theory and methodology; presentation techniques.
• Social competencies: group work, discussions and structured critiques.

Literature

Slides and relevant reading materials and other materials will be handed out in class.

Readings will include:

Leverage Points: places to intervene in a system, Donella Meadows

Embodied Cognition and the Magical Future of Interaction Design, David Kirsh

Persuasive Technology, B.J. Fogg

Innovation as a learning Process, Beckman and Barry

Plans, Takes and Mis-takes, Klemp, McDermott et al

Asking Generative Design Questions: a fundamental cognitive mechanism in design thinking, Ozgur Eris

The Computer for the 21^st Century, Mark Weiser

Designing Interactions (selected readings), Bill Moggridge

Learning

Lecture; group discussion; participant presentations; hands on exercises; project work.
The course will be held in English.

Examination

This is a hands-on course and requires active participation and engagement from attendees. You will be expected to contribute verbally and materially to each session of the course, sharing insights, questions and your project work on a regular basis.

The grade will be calculated on the basis of:

• class participation (25%)
• project work (25%)
• quizes and final exam (25%)
• a final presentation of project work to date (5 minutes plus question/discussion period, accompanied by 4 – 5 pages of documentation) at the end of the course (25%).

Please note: Any changes to the grading rubric will be announced by the second session of the course.

Dates

Class starts October 15th,                                                                                                                                                  

Times
Tuesdays  13:30h-15h &
Thursdays 15:15-16:45h                                                                                                                  
Place: G1 E.15/16

 

Lecture period 14.10.-07.02.20

Zurück