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Your search for courses for 21/FA and with code: ENTSQUANTV found 3 courses.

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ENTS 120.51 Introduction to Geospatial Analysis & Lab 6 credits

Open: Size: 12, Registered: 4, Waitlist: 0

Laird 205 / CMC 110

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
1:00pm5:00pm
Synonym: 62171

Tsegaye H Nega

Spatial data analysis using Geographic Information Systems (GIS), remote sensing, global positioning, and related technologies are increasingly important for understanding and analyzing a wide range of biophysical, social, and economic phenomena. This course serves as an overview and introduction to the concepts, algorithms, issues, and methods in describing, analyzing, and modeling geospatial data over a range of application areas.

Sophomore Priority

Waitlist for Juniors and Seniors: ENTS 120.WL1 (Synonym 62559)

ENTS 120.52 Introduction to Geospatial Analysis & Lab 6 credits

Closed: Size: 12, Registered: 13, Waitlist: 0

Laird 205 / CMC 110

MTWTHF
11:10am12:20pm1:00pm5:00pm11:10am12:20pm12:00pm1:00pm
Synonym: 62172

Tsegaye H Nega

Spatial data analysis using Geographic Information Systems (GIS), remote sensing, global positioning, and related technologies are increasingly important for understanding and analyzing a wide range of biophysical, social, and economic phenomena. This course serves as an overview and introduction to the concepts, algorithms, issues, and methods in describing, analyzing, and modeling geospatial data over a range of application areas.

Sophomore Priority

Waitlist for Juniors and Seniors: ENTS 120.WL2 (Synonym 62631)

STAT 230.00 Applied Regression Analysis 6 credits

Closed: Size: 25, Registered: 29, Waitlist: 0

CMC 102

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61448

Katie R St. Clair

(Formerly Mathematics 245) A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data.

Prerequisite: Statistics 120 (formerly Mathematics 215) or Statistics 250 (formerly Mathematics 275), Psychology 200, or AP Statistics Exam score of 4 or 5.

Formerly Mathematics 245

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Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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