Course Schedule

CS 5293 Spring 2019

Physical Science Ctr, 0224 TR 3:00pm - 4:15pm

TAP: Text Analytics with Python
MLT: Machine Learning for Text

Text Wrangling

Class	Date	Topic	Reading	Lecture Notes	Assignment	Due
01	01/15	Introduction	Syllabus
02	01/17	Review Remediation Python I	TAP: Ch 2 nltk book ch 1
03	01/22	Python II GNU/Linux Tools	UNIX Shell	pyenv+pipenv pyenv windows comment pipenv video
04	01/24	Version Control Testing	Git Tutorial Py Test		HW 0
05	02/05	Regular Expressions	Python Re Linux Regex NLTK Book Ch 3	Unicode byte counter Hanukkah Spellings Spelling Hanukkah Regexp Systax Summary
06	02/07	GNU/Linux Tools	sed awk bash	example csv file	Project 0	HW 0
07	02/12	Pandas and Plotting	Pandas Intro	Pandas Tutorial FOIA Interview FOIA Example Tweet	HW 1 (section 001)
08	02/14	SQL and SQLite	SQLite Tutorial

Text Staging

Class	Date	Topic	Reading	Lecture Notes	Assignment	Due
09	02/19	Natural Language Processing I	TAP: Ch 1, 3 MLT: Ch 2	NLP I		HW 1
10	02/21	Natural Language Processing II		NLP II	Project 1	Project 0
11	02/26	Text Search and Vectorization I	MLT: Ch 9 Scikit-Learn Feature Vectorization		HW 2
12	02/28	Text Search and Vectorization II

Analyzing Text

Class	Date	Topic	Reading	Lecture Notes	Assignment	Due
13	03/05	Text Classification I	TAP: Ch 4 MLT: Ch 5			HW 2
14	03/07	Text Classification II			Project 2	Project 1
15	03/12	Text Summarization I	TAP: Ch 5 MLT: Ch 11			HW 2
16	03/14	Text Summarization II
17	03/19	Spring Break
18	03/21	Spring Break
19	03/26	Text Clustering I	TAP: Ch 6 MLT: Ch 4
20	03/28	Text Clustering II
21	04/02	Sentiment Analysis I	TAP: Ch 7 MLT: Ch 13		Project 3	Project 2
22	04/04	Sentiment Analysis II			HW 3
23	04/09	Word Embeddings I	MLT: Ch 10
24	04/11	Word Embeddings II			HW 4	HW 3
25	04/16	Recommendation Systems I	MLT: Ch 3			Project 3
26	04/18	Recommendation Systems II			HW 4
27	04/23	Visualizations I
28	04/25	Visualizations II				HW 4
29	04/30	Special Topics I				Project 3
30	05/02	Special Topics II
31	05/08	Final Exam Physical Science Ctr, 0224 3:00pm - 4:15am