This is the official website for COSC 4600 / MSCS 5600 : Fundamentals of Artificial Intelligence at Marquette University for Fall 2017
aug 29: introduction to the class; introduction to modern ai
aug 31: introduction to the social networks; fundamental properties of networks
sep 05: types of social networks; introduction to centrality metrics
sep 07 centrality metrics continued
sep 12 introduction to machine learning; clustering algorithms
sep 12: introduction to clustering; k-means and dbscan
sep 14: introduction to clustering; spectral and graph based clustering
sep 19: introduction to naive bayes;
sep 21: introduction to logistic regression;
sep 26: decision trees and random forests;
sep 28: clusters, cliques, clans, components etc.;
oct 3: preferential attachment model;
oct 5: sir model;
oct 10: initial project presentations;
oct 12: small world networks;
oct 17: introduction to game theory;
oct 19: no class, fall break
oct 24: guest lecture by Alex Czachor, Senior Data Scientist, Northwestern Mutual
oct 26: no class because of intel deep learning seminar makeup
oct 31: guest lecture by Nithin Ramachandran, Director, Data Science, Direct Supply
nov 02: guest lecture by RJ Nowling, Lecturer and Data Science Engineer, Marquette University
nov 07: nash equilibria, coordination games and multiple equilibria; readings: chapter 6
nov 09: introduction to markets and matching markets; readings: chapter 10
nov 14: more matching markets; readings: chapter 10 , more mathy stuff at duke