| Project | Reading due |
due |
Lecture | Lab | Data | Labreport due |
|---|---|---|---|---|---|---|
| Intro | week 1 | goals | Warm-up |
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|
|
|
|
|
|||
| 9/9 |
B&C
Ch
1,
p.
1-37 Drever, Ch 1 Tu 9/14 |
Ans |
|
Sea-level change | NA | |
| 1 | week
2-4 |
goals | Major
anions
in
NY
waters |
|||
| 9/14 |
2009
NYC Water Quality Report B&C Ch 2, p38-77 Th 9/16 |
NYC
water supply Major ions in local precipitation and surface waters |
Water supply in NYC | NYC water data | ||
| 9/16 |
How does an ion chromatograph work? | Discussion
of
sampling
plans |
||||
| Sa(!!)
9/18 |
9-12am or 1-4pm: Hudson River field trip, meet at Pier 40 (Houston #1 subway station) (Hudson River trip 10/8/05) | |||||
| 9/21 |
|
Hand
entry of data |
Log sheet | |||
| 9/23 |
B&C Ch 3, p78-114 | Descriptive
statistics |
||||
| 9/28 9/30 |
B&C
Ch
4
p115-167 Tu 9/30 |
HW4 Th 10/7 |
Measurements
in
the
laboratory How to write a lab report |
IC lab 2 |
IC
raw
data Example lab rep. |
draft:
Th
10/14 |
| 2 |
week
5-8 |
goals |
NYC
Air
quality |
|||
| 10/5 10/7 |
B&C
Ch
5,
p168-207 Th 10/6 |
Probability,
distributions, standard error |
discussion
of
lab
reports |
|||
| 10/12 |
class
cancelled |
|||||
| 10/14 |
HW5 Th 10/21 |
Confidence intervals and
errors Significance tests |
Discussion
of
drafts |
Figures | final:
Tu
10/26 |
|
| 10/19 |
|
Significance
tests, continued |
||||
| 10/21 |
B&C
Ch
8,
p,
293-303 |
|
Tropospheric ozone |
|||
| 10/26 10/28 |
B&C
Ch 9, p. 332-367
|
Regression analysis Air quality in NYC |
|
final:
Th
11/11 |
||
| Th 10/21, due Th 10/28 | Midterm exam
-
take
home |
|||||
| 3 |
week
10-14
begins 11/5
|
goals | GIS
-
Hudson
River
data |
|||
| 11/4 | GIS
as
integrating
technology |
GIS
Overview Querying your database |
ESRI VC #1 | |||
| 11/9 11/11 |
Database
concepts Map Projection Coordinate Systems |
|
Geospatial
Data
Formats
&
Spatial
Reference
Systems |
ESRI VC #2 | ||
| 11/16 |
Classification Methods & Making Maps 101 | ESRI VC #3 | ||||
| 11/18 |
Hand Out |
Census
Data |
ESRI VC #4 | |||
| 11/23 |
Hand Out | Working
with
geo-referenced
dataVector-based
Spatial
Analysis As in Bangladesh |
Spatial
Distribution of Arsenic in |
|||
| 11/30 |
Working with Raster Data Creating surfaces |
HW6 12/7 |
Presenting data |
ESRI VC #4 |
||
| 12/2 |
Hand Out |
Spatial Adjustment |
ESRI VC #4 | |||
| 12/7 |
Hand Out |
Interpolation
Methods |
Grain size analysis |
Hudson
River
trip |
||
| 12/9 |
Hand Out |
Cell & Zonal Statistics |
Grab samples data |
|||
| 12/14 |
last day of classes | |||||
| TBA |
1-4 pm |
|
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