Computer Science 596E - IS-ML Applied to Child Rescue

Fall
2022
01
3.00
Benjamin Glickenhaus

1:00AM 1:00AM

UMass Amherst
55883
bglickenhaus@umass.edu
Students will work collaboratively to construct production-grade software used to advance the goal of Child Rescue.

Open to senior Computer Science majors and MS-CMPSI majors and CS PhD students. THIS COURSE IS A GROUP-BASED, GUIDED INDEPENDENT STUDY. OUR GOAL IS TO BUILD PRACTICAL MACHINE LEARNING MODELS TO BE USED BY PROFESSIONALS DEDICATED TO RESCUING CHILDREN FROM ABUSE. STUDENTS WILL BE ENCOURAGED TO DESIGN AND BUILD THEIR OWN DIAGNOSTIC AND MACHINE LEARNING TOOLS, WHILE ALSO LEARNING FROM PROFESSIONALS IN THE FIELDS OF DIGITAL FORENSICS AND LAW ENFORCEMENT. THE ENTIRE STUDENT GROUP WILL MEET ONCE A WEEK TO SHARE PROGRESS VIA SHORT PRESENTATIONS. PREREQUISITES: PERMISSION OF INSTRUCTOR ONLY. TO GAIN PERMISSION, YOU MUST BE A CS GRADUATE STUDENT WITH A MACHINE LEARNING BACKGROUND. WE EXPECT HIGH GRADES IN COMPSCI 589 OR COMPSCI 682. CONTACT INSTRUCTOR FOR CONSIDERATION AT bglickenhaus@umass.edu

Permission is required for interchange registration during all registration periods.