Sample Curriculum Maps

	A	B	C	H	I	J	K	N	O	P	T	U	V	X	Z
1	Outcomes	Semester 1:	Course 1	Semester 2	Course 1	Course 2	Course 3	Semester 3	Course 1	Course 2	Semester 4	Course 1	Course 2	Course 4	Count
2		course name	Introduction to Data Science Course		Stat Foundations	Data Models/Technologies	Math for DS		Data Ethics	Intro to CS		Predictive Analytics	Data Struc &Algs	Capstone

3	CF.A: Programming language.		introduced		revisited					revisited				revisited	4
4	CF.B: Second language					introduced				introduced				revisited	3
5	CF.C: data base		introduced		introduced [RG: maybe delete?]	revisited						revisited		revisited	5
6	CF.D: implement stats				introduced	revisited	revisited					revisited		revisited	5
7	CT.A: Think computationally		introduced		revisited	revisited	revisited			revisited		revisited	revisited	revisited	8
8	SF.A: data collection		introduced		revisited	revisited						revisited		revisited	5
9	SF.B: data viz		introduced		revisited	revisited	revisited					revisited		revisited	6
10	SF.C: summary stats		introduced		revisited	revisited						revisited		revisited	5
11	SF.D: Confidence intervals				introduced		revisited					revisited		revisited	4
12	SF.E: Hypothesis tests				Introduced		revisited					revisited		revisited	4
13	SF.G: multivariate relations		introduced		revisited	revisited	revisited					revisited		revisited	6
14	ST.A: stat questions		introduced		revisited		revisited					revisited		revisited	6
15	ST.B: data appropriateness		introduced		revisited	revisited			revisited			revisited		revisited	6
16	ST.C: random sampling and assignment				introduced							revisited		revisited	3
17	ST.D: variability				introduced		revisited					revisited		revisited	4
18	SM.A: use models		introduced		revisited	revisited	revisited					revisited		revisited	6
19	SM.B: prediction v. inference		introduced		revisited	revisited	revisited					revisited		revisited	6
20	SM.C: Fit, interpret, evaluate		introduced		revisited	revisited	revisited					revisited		revisited	6
21	SM.D: cross-validation		introduced		revisited							revisited		revisited	4
22	DMC.A: acquire data		introduced			revisited						revisited		revisited	4
23	DMC.B: EDA		introduced		revisited	revisited						revisited		revisited	5
24	DMC.C: cleaning		introduced			revisited						revisited		revisited	4
25	DMC.D: missing data				introduced	introduced						revisited		revisited	4
26	DMC.E: merge data		introduced			revisited						revisited		revisited	4
27	DMC.F: manage database					introduced									1
28	DMC.G: privacy and security		introduced		revisited	revisited			revisited	introduced				revisited	6
29	DMC.H: version control					introduced				revisited			revisited	revisited	4
30	Math.A: Calculus						introduced								1
31	Math.B: Lin.Alg						introduced								1
32	Math.C: probability				introduced		revisited								2
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