Assignment Schedule

Lecture Schedule

As the instructor for this course, I reserve the right to adjust this schedule in any way that serves the educational needs of the students enrolled in this course.

Date # Lecture Lecture Notes Required Reading
08/23 1 Course Overview [PDF]
Overview of IDIR Research
08/28 2 Computational Fact-checking, Fact Finding, Knowledge Graphs
08/30 3 Computational Fact-checking, Fact Finding, Knowledge Graphs
Overview, Data, and Text
09/04 4 Modeling Text Data: vector space model, search engine [PDF] MRS ch6
09/06 5 Modeling Text Data: vector space model, search engine
09/11 6 Data Mining, Big Data, Data Science, Applications, Tools, Datasets [PDF] TSK ch2
09/13 7 The Life-Cycle of Data: data types, data extraction, curation, integration, wrangling, retrieval, mining [PDF] TSK ch2
09/18 8 Similarity Measures [PDF] TSK ch2
Classification and Prediction
09/20 9 Decision Tree [PDF] TSK ch4
09/25 10 Decision Tree
09/27 11 Bayesian Classifiers [PDF] TSK ch5
10/02 12 Bayesian Classifiers
10/04 13 Text Mining: classification [PDF] MRS ch13
10/09 14 Support Vector Machine, Nearest Neighbor Classifiers [PDF] TSK ch5
10/11 15 Evaluating Classification Models [PDF] TSK ch4
10/16 16 Evaluating Classification Models
10/18 17 Evaluating Classification Models
Web and Graph Mining
10/23 18 Web Mining: link analysis (PageRank) [PDF] MRS ch21
10/25 19 Web Mining: link analysis (PageRank)
Clustering
10/30 20 Overview of Clustering [PDF] TSK ch8
11/01 21 K-means
11/02 Last day to drop class
11/06 22 Hierarchical clustering
11/08 23 Text Mining: clustering
Association Rule Mining
11/13 24 Association Rule Mining [PDF] TSK ch6
11/15 25 Association Rule Mining
11/20 26 Association Rule Mining
11/22 Thanksgiving Holiday
Overview of IDIR Research
11/27 27 Computational Fact-checking, Fact Finding, Knowledge Graphs [PDF]
11/29 28 Final Review Week: overflow lecture, if necessary
12/04 29 Final Review Week: overflow lecture, if necessary [PDF]
12/11 Final Exam (December 11th, Tuesday, 11am-1:30pm. ERB 130)