Class Schedule

*Class schedule is subject to revision throughout the semester.

W	Date	Due (before class @ 10:45am)	Topics Tools
		#To-do/Homework Project
1	1/8		[slides] Course introduction, setup Git
	1/10	#1	[slides] Data management and version control Git, GitHub
	1/12	#2	[slides] Linguistic datasets Jupyter Notebook
2	1/17 (W)	Homework 1: Explore linguistic data	[slides] Processing linguistic data
	1/19 (F)	#3	Data processing fundamentals	[slides, JNB] Python's numpy library
3	1/22	#4		[slides, JNB] Data frames with pandas
	1/24	#5		[slides, JNB] More pandas Markdown
	1/26	Project ideas		[JNB] Pandas wrap
4	1/29	#6	Statistics	[JNB] Statistics crash course
	1/31	-		[JNB] Stats (ctd), visualization
	2/2	Homework 2: Process the ETS corpus (part 1)		[JNB] Stats wrap, visualization
5	2/5	Homework 2 (part 2)		[JNB] HW2 review
	2/7	#7		HW2 review continued
	2/9	#8 (due @9:30am!!)	Open access & data publishing, Data mining	Guest speaker: Dominic Bordelon (Pitt Library)
6	2/12	Project plan		[slides] Corpus data formats, conversion
	2/14	-	Corpora, Annotation	[slides, JNB] Formats, social media and web mining Bash/Zsh
	2/16	#9		[slides] Web mining, linguistic annotation
7	2/19	#10		[slides] Annotation continued
	2/21	-		[slides] Annotation wrap
	2/23	1st progress report	Machine learning	[JNB1] Regression
8	2/26	#11		[JNB1, JNB2] Classifiers: count vectors, TF-IDF
	2/28	-		[JNB2, JNB3] Naive Bayes, pipelines, categorical data
	3/1	-		[JNB3] SVC, categorical data, cross-validation
9	3/4	Homework 3: Machine Learning with ETS data	ML (ctd)	[slides] GitHub collaboration, cross-validation, feature weights Git, GitHub
	3/6	-		[JNB2, JNB1] HW 3 review
	3/8	#12		[JNB1, JNB3] HW 3 review
No class: Spring break
10	3/18	-	ML (ctd)	[JNB3] HW3 wrap: dimensionality reduction, ensemble model
	3/20	- 2nd progress report	Big data at CRC, and Machine learning (ctd), and Advanced NLP	[slides] Shell, command line Bash/Zsh
	3/22	- 2nd progress report		[slides] Command line tools grep, Unix tools
11	3/25	#13		[slides] Supercomputing, running jobs on CRC
	3/27	#14		[slides] Big data wrangling, OnDemand on CRC
	3/29	-		[slides, JNB1, JNB2] Computational efficiency, big data wrangling on CRC, advanced NLP
12	4/1	Homework 4		[JNB3, JNB4] Clustering & topic modeling; grid search & parallel processing
	4/3	#15		[slides] Text generation with TensorFlow by Ashley Feiler
	4/5	-	Speech & multimedia	[slides] Speech data and corpora Praat
13	4/8	3rd progress report		[slides] Speech data tools, forced aligner Speech libraries
	4/10	--		[slides, JNB] Montreal Forced Aligner, ASR
	4/12	--		[slides] ELAN for APLS by Maya Asher Elan
14	4/15	Project presentations	RH
	4/17		MA, DA
	4/19		TD, MP
15	4/28 (11pm)	Final project report	Finals week