University of Pittsburgh

3520

Course Title: 
Theory of Learning Algorithms (CS 3120)
Credits: 
3
Description: 

The purpose of this course is to present fundamental results regarding the learning capabilities of computer programs. Basic results from computation theory and logic are languages, automata theory and logic are first presented. These are then used to show the limitations and capabilities of algorithmic strategies for various learning environments including program synthesis, language acquisition, concept learning and identification of finite state machines.

Prerequisites: 
CS 2110 or consent of instructor
Recitations: 
none
Fall 2014, Spring 2015, Summer 2015, Fall 2015, Spring 2016

Copyright 2009 | Web site by UMC Web Team