Schedule 2017

	A	B	C	D	E	F	G	H	I	J	K	L	M
1	Week	Date of Monday	Lecture	Lab session	Topic of HW released	HW designed by Mon	HW debugged by Mon	HW released on Thu	HW due on Wed	HW peer review by Thur	HW graded by Wed	Comments	TODO

2	1	2017-09-18	Intro	Intro to tools				0
3	2	2017-09-25	Handling data	Pandas	Pandas and data wrangling	1	1	1				need intro to plotting in this lab session, as students need it for DataCluedo in the next lab session!
4	3	2017-10-02	V for variety	(talk: Renaud Richardet)		2
5	4	2017-10-09	Read the stats carefully	Scraping	Scraping		2	2	1
6	5	2017-10-16	Observational studies (new!)	Data stories		3				1
7	6	2017-10-23	Visualization	Data visualization			3	3	2		1	maybe shift this before "Read the stats carefully"
8	7	2017-10-30	Supervised learning	(talk)	Visualization	4				2
9	8	2017-11-06	Scaling up	Applied ML			4	4	3		2
10	9	2017-11-13	Applied ML	(talk)						3
11	10	2017-11-20	Unsupervised learning	(talk) Cluster inst.	Applied ML				4		3
12	11	2017-11-27	Handling text	Primer on text						4
13	12	2017-12-04	Handling text	Primer on networks (project milestone feedback)							4
14	13	2017-12-11	On bullshit (Giovanni)	(talk)
15	14	2017-12-18	ADA in action	(talk)					report
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