Spring 2019 Syllabus

A 15-week course where students learn the basics of creating products powered by AI that create new relationships with users

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Little reminder about what’s important in life, no matter where AI takes us. Do not let your days in Texas slip past you without exploring the parts technology will never replace.

Tuesdays 6:00–9:00pm in DFA 4.106

Course website at http://canvas.utexas.edu
Office hours: Tuesdays, 5:30–6:00pm in DFA 4.112

Instructor

Jennifer Sukis, Design Principal for AI and Machine Learning, IBM Hybrid Cloud
Jennifer dot sukis at gmail dot com

Catalog Description

Students will learn how to create digital product experiences powered by AI and big data that deliver high levels of cognitive experiences to users.

Course Overview

A mix of lecture, reading, writing and design thinking specific to AI. Students will form teams of five to build a concept for an AI product for the duration of the course, preparing for two final presentations. This class is not a series of sprints. It’s working on one idea for 15 weeks individually and with a team.

  1. Final Presentation

Objectives & Assessment Instruments

By the end of the course, students should be able to:

  1. Understand the core components of AI and how they work together to create a cognitive experience
  2. Structure and conduct lightweight user research
  3. Execute an AI focused design thinking process
  4. Demonstrate skills in preparing a product story and demo for pitches

Course materials

  • A Medium account (https://medium.com/)
  • A Mural account (https://mural.co/education/)
  • Presentation software (Google Slides, Keynote, etc.)

Methods of Instruction

  • Lectures and Critical Thinking Discussions
  • Reading + writing assignments
  • Expert guest speakers
  • A LOT of in class working time
  1. You will work with the same team of 4–5 people throughout this class on your two big assignments. For each of these assignments, a portion of your grade will be determined by your peer evaluations. Be a good teammate.

Attendance

I do not record or include attendance as a part of your grade, but if you don’t attend it will be impossible to receive higher than a C in this class.

Homework

Reading and writing assignments: 10 pts each

Final Projects

Research Report — 100 pts

  • Design and execution of primary and secondary research plan — 20 pts
  • Relevance of resulting insights and experience principles — 20 pts
  • Overall preparedness of presentation and ability to respond to audience questions — 20 pts
  • Peer Reviews — 20 pts
  • Your concept’s success in using AI Design Thinking to create a new, valuable, user focused solution — 20 pts
  • Your concept’s accuracy in it’s use of AI capabilities — 20 pts
  • Overall preparedness of presentation and ability to respond to audience questions — 20 pts
  • Peer Reviews — 20 pts

Grade Scale

This course uses UT’s existing scale for final letter grades.
https://liberalarts.utexas.edu/ams/undergraduate/grading-scale.php

Class meeting dates, Spring 2018

Jan 29
Class 1:
Introduction to AI
We’ll start with the basics to know about this class, then buckle up, the first lecture is a doozey, but it’s fun with lots of crazy stories, videos, and sci-fi homages! We’ll will cover the history, current state, essential concepts, ethics, challenges, and future visions surrounding Artificial Intelligence.

  • Discussion and Q&A
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Homework
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Discussion and Q&A
  • In Class Work
  • Homework
  • Homework

Advanced Design for Artificial Intelligence

A 15-week course focused on techniques for designing…

Jennifer Aue (Sukis)

Written by

IBM Distinguished Designer & Director for AI Transformation. Advanced Design for AI professor at the University of Texas. Co-host of AI Zen with Andrew and Jen.

Advanced Design for Artificial Intelligence

A 15-week course focused on techniques for designing products powered by AI that form new relationships with users. Written by students of the Advanced Design for AI course at the University of Texas in Austin.

Jennifer Aue (Sukis)

Written by

IBM Distinguished Designer & Director for AI Transformation. Advanced Design for AI professor at the University of Texas. Co-host of AI Zen with Andrew and Jen.

Advanced Design for Artificial Intelligence

A 15-week course focused on techniques for designing products powered by AI that form new relationships with users. Written by students of the Advanced Design for AI course at the University of Texas in Austin.

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