Course Schedule

2022 schedule (tentative – changes coming likely)

Wk Class Topics Reading Labs/Activities
1 GIS Intro & Types of data
-data vs metadata
– spatial data types
– attributes
Syllabus
Bolstad Ch 1
Bolstad Ch 2
–Exercises 1: Introduction to software and data
2 -Projections and coordinates
-Overlay analysis
Bolstad Ch 3
&Ch 9, except p. 398-404, 420-428
–Exercises 2:  ON FRIDAY topic TBA
GIS case study; Posted by Wed 1/19 10 pm.
3 Overlay analysis Ch 9 as above Project 1: Environmental Justice
4 Digital topography p. 177 -180 in Ch 4
Ch 11 Terrain Analysis
Exercises:
5 Location & Distance –
Geoprocessing models
Ch 9 (398-404)
Ch 10 (471-475)
Ch13 (573-96)
Exercises: models and suitability
6  Neighborhood Analyses Ch 12 (521-529)
Ch 10 (445-9, 462-70)
Ch 12 (529-41)

optional
ch 12 p541+ is great for spatial correlation)
Project 2:
7 Shape, Size & Distribution
Probability & model review
TBD Exercises: digitizing Geology polygons
8 Bayes Probability
Remote sensing:
data and instruments
Ch 6 Project 3: Inverse landslide prediction
9 Remote Sensing
Image enhancement, ratios and principal components
Ch 6 Exercises: Landsat exercises
start designing your Final Project
10 Remote Sensing Classification Image Classification
Classification Intro (using ArcMap)
An optional thorough explanation
Lab: Project 4:
Algorithm for Final Project is due Friday of this week (not perfect, not final, just in, so I can see where you’re heading)
11 GPS data and technology
Map Composition Review
Lab: GPS demo, then final project work
Final Project Data Sources identified and turned in by Friday this week
12 Final Project work Lab: work on final project
Friday: present final projects during class 11-12
Final Exam during exam week, self scheduled, approx 1 hour exam