Course Description

This class covers statistical and algorithmic methods for sensing, recognizing, and interpreting the activities of people by a computer. This semester we will focus on machine perception techniques that facilitate and augment human-computer interaction. The main goal of the class is to introduce computational perception on both theoretical and practical levels. Participation in small groups to design, implement, and evaluate a prototype of a human-computer interaction system that uses one or more of the techniques covered in the lectures.

3 credits tenative course rotation: Spring

Questions

Instructor Contact

Alexander T Stoytchev

Registration Information

Course Dept
HCI
Course Number
575
Section
XW
Credit Hours
3
Semester
Spring 2019
Dates
Jan 14 - May 10
Prerequisites
Graduate standing or permission of instructor
Max Enrollment
15
Delivery Fee
$570.00 *
* Delivery Fee is additional to Tuition & Fees.

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