Human-centered computing (Winter 2017)

Course timings 11-1150 WThF in KD103

Office hours 1500-1630 WTh in KD303. (Email me if my office is locked during that time. I'm probably close by.)

Lecture date Topics covered Materials
Jan 5 Introduction, course logistics, first project Slides, Trains demo
Jan 6 Project ideas (Trains, Cricinfo) Slides, Cricinfo demo
Jan 11 Probability Slides
Jan 12 Regression analysis Slides
Jan 13 Probabilistic interpretation of regression "
Jan 18 Intro to statistics Slides
Jan 19 Statistical hypothesis testing "
Jan 20 Statistics: practical considerations "
Jan 21 Granger causality Slides, Causality demo
Jan 24 Clustering Slides
Feb 1 Intro to search -
Feb 2 Boolean search Slides
Feb 3 Quiz -
Feb 8 Project presentations -
Feb 9 Ranked retrieval + project 2 intro Slides Project code
Feb 10 Language models Slides
Feb 15 Text clustering Slides
Feb 16 Befriending LDA Slides
Feb 17 Befriending LDA (continued) -
Feb 22 Search engine evaluation Slides
Feb 23 From search to discovery Slides
Mar 8 Introduction to recommender systems Slides
Mar 22 Content-based recommender systems -
Mar 23 Quiz -
Mar 29 Collaborative filtering Slides
Mar 30 Lessons from the Netflix Prize Slides
Mar 31a Knowledge-based recommenders Slides
Mar 31b Explanations in recommender systems Slides
Apr 5 Introduction to affective computing + project intro Slides Data description Data
Apr 6 Sentiment analysis Slides
Apr 7a Personality analysis Slides
Apr 7b Project presentations -
Apr 7c Project presentations -
Apr 12 Emotion detection Slides
Apr 13 New approaches to emotion detection -
Apr 19 Brain computer interfaces Slides
Apr 20 Gamification Slides
Apr 21 Staying human Slides

Upcoming deadlines:

Materials: Search engine book

Recommender systems handbook