For descriptions of the courses listed below, see the USC Catalogue
Classes
CSCI 360: Introduction to Artificial Intelligence
CSCI 445L: Introduction to Robotics
CSCI 467: Introduction to Machine Learning
EE 500: Neural Learning and Computational Intelligence
EE 519: Speech Recognition and Processing for MultimediaCSCI 534: Affective Computing
CSCI 544: Applied Natural Language Processing
EE 546: Mathematics of High-Dimensional Data
EE 556: Stochastic Systems and Reinforcement Learning
CSCI 561: Foundations of Artificial Intelligence
CSCI 563: Building Knowledge Graphs
CSCI 567: Machine Learning
EE-581/CSCI-593: Mathematical Foundations for System Design: Modeling, Analysis, and Synthesis
EE 588: Optimization for the Information and Data Sciences
CSCI 599: Deep Learning and its Applications
CSCI 599: Autonomous Cyber-Physical Systems
EE 599: Deep Learning
EE 599: Deep Learning Lab for Speech Processing
CSCI 631: Privacy in the World of Big Data
ISE 633: Large Scale Optimization and Machine Learning
CSCI 644: Natural Language Dialogue Systems
CSCI 658: Introduction to Online Optimization
EE 660: Machine Learning from Signals: Foundations and Methods
CSCI 677: Advanced Computer Vision
CSCI 699: Machine Learning for Knowledge Extraction and Reasoning
CSCI 699: Advanced Topics in Deep Learning
CSCI 699: AI and Multiagent Systems Research for Social Good
CSCI 699: Computational Human Robot Interaction
CSCI 699: Introduction to Information Extraction
CSCI 699: Topics in Formal Reasoning for Cyber-Physical Systems
CSCI 699: Advanced Topics in Statistical Machine Learning
CSCI 699: Topics in Discrete Optimization and Learning
CSCI 699: Theoretical Machine Learning