Course Instructor Class Time
Class Location Anthony’s Office Office Hours Teaching Assistant Discussion Time Discussion Location TA Office Hour Online Discussion

Xiang ‘Anthony’ Chen ([email protected]) TR 2-3:50 PM BOELTER 5420 BOELTER 6730A or Zoom M 3-4:50 PM or By appointment Hongyan Gu Friday 4:00 PM - 4:50 PM PDT Online (Zoom) ****Friday 5:00 PM - 6:00 PM PDT at 67-112 Engr. IV Google Space

Course Objectives

• Learn about a suite of fundamental AI/ML techniques:
  • How they work (at a high-level);
  • How to use them as tools or functions;
• Learn about human factors in the various aspects of AI/ML via:
  • User-centered design;
  • Prototyping functional systems;

Prerequisites

ECE 131A or Civil and Environmental Engineering 110 or Mathematics 170A or 170E or Statistics 100A, Computer Science 33.

You do not have to have a machine learning or human-computer interaction background to take this course.

Since you will be building interactive applications, you should be prepared to learn some prototyping frameworks/languages (if you don't know any yet).

We recommend prototyping using HTML/JavaScript and here are some useful tutorials:

• From Codecademy: HTML, Javascript;
• From W3Schools: HTML, Javascript;

Textbook

None required. However, this book is highly recommended.

Schedule (all dues are by 11:59 PM of the dates)

Time table

Course Components

1. Mini Projects (20%)

These are single-person projects help you practice interaction design, prototyping, and the use of machine learning in application-oriented settings.

M1 (10%): TinyType—the Design