Class Schedule

*Class schedule is subject to revision throughout the semester.

W	Date	Due (before class @ 12:45pm)	Topics Tools
		#To-do/Homework Project
1	1/8 (W)		[slides] Course introduction, setup Git
	1/10	#1	[slides] Data management and version control Git, GitHub
2	1/13	#2	[slides] Linguistic datasets Jupyter Notebook
	1/15	Homework 1: Explore linguistic data	[slides] Processing linguistic data
	1/17	#3	Data processing fundamentals	[slides, JNB] Python's numpy library
3	1/22 (W)	#4		[slides, JNB] Data frames with pandas
	1/24 (F)	#5		[slides, JNB] More pandas Markdown
4	1/27	Project ideas		[JNB] Pandas wrap
	1/29	#6	Statistics	[JNB] Statistics crash course
	1/31	Homework 2: Process the ETS corpus (partial)		[JNB] More stats, visualization
5	2/3	Homework 2: Process the ETS corpus (2nd)		[JNB] Stats wrap
	2/5	Homework 2: final submission		[JNB] HW2 review
	2/7	#7		HW2 review continued
6	2/10	#8	Open access & data publishing	Linguistic data sharing: discussion
	2/12	Project plan	Corpora, Annotation, Web & social media mining	[slides] Linguistic annotation projects
	2/14	#9		[slides] ELAN for APLS (guest presentation by Maya Asher) Elan
7	2/17	#10		[slides] Linguistic annotation
	2/19	#11		[slides] Data formats
	2/21	-		[slides] Social media and web mining, data formats and conversion Bash/Zsh
8	2/24	#12 1st progress report	Machine learning	[JNB1] Regression
	2/26	1st progress report		[JNB2] Classifiers: KNN, Naive Bayes, count vectors, TF-IDF
	2/28	-		[JNB2] Pipelines, confusion matrix, feature weights
No class: Spring break
9	3/10	-	ML (ctd)	[JNB3] Categorical data, SVM, cross-validation
	3/12	Homework 3: Machine Learning with ETS data (partial)		[JNB2] HW3 review: Task2
	3/14	Homework 3: final submission		[JNB1, slides] HW3 review: Task1, GitHub collaboration Git, GitHub
10	3/17	#13		[JNB1, JNB3] HW3 review: Task1, Task3
	3/19	-		[JNB3] HW3 review: Task3, dimensionality reduction, ensemble models
	3/21	2nd progress report	Big data at CRC, and Machine learning (ctd), and Advanced NLP	[slides] Shell, command-line tools Bash/Zsh, grep, Unix tools
11	3/24	#14		[slides] Supercomputing, running jobs on CRC
	3/26	#15		[slides] Big data wrangling, OnDemand on CRC
	3/28	-		[slides, JNB1, JNB2] Computational efficiency, clustering
12	3/31	Homework 4: Supercomputing Yelp Data		[JNB2, JNB3] Topic modeling; grid search & parallel processing
	4/2	#16		[JNB4] Advanced NLP: spaCy, Stanza
	4/4	-	Speech & multimedia	[slides, JNB] Speech sounds: IPA, phonological features Speech libraries
13	4/7	3rd progress report		[slides] Speech data and corpora, tools Praat
	4/9	#17		[slides] Montreal Forced Aligner
	4/11	-		[slides, JNB] ASR
14	4/14	Project presentations	[slides, JNB] Riley presentation on SQL, Day 1: QF
	4/16		Day 2: AB, CM
	4/18		Day 3: SR, JH
15	4/21		Day 4: JB, LC
	4/29 (Tue)	Final project report	Finals week