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) |