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Request for a: course (modify)
Type of request: modify
Level:
Undergraduate
Nature:
q,
When do you first plan to offer this classprogram?
If you are seeking the D, Q, or W designation for this course, please make sure that you follow the guidelines available here. The appropriate form(s) MUST be included in your attachements.
Summary/Rationale for proposal:
I wish to teach GEOG 385 with a Q designation so that students that
take it can fulfill this requirement, and so that more students will
enroll in the course when offered.
Course Information
See the faculty handbook, Appendix C, for types of requests that do not need to go through the full curriculum review process.
From:
Course Prefix GEOG
Course Number 385
Course Title Quantitative Methods in Geography
Credit Hours -
To:
Course Prefix
Course Number
Course Title
Credit Hours
-
Abbreviation for Class Schedule (20 spaces):
Quant Methods Geog
Catalog description
Current description:
An introduction to basic quantitative techniques in Geography.
Topics include descriptive statistics, hypothesis testing, simple
correlation and regression, analysis of variance, and non-parametric
statistics.
Catalog date: 2013-2014 Catalog pages: 134
Proposed description:
An introduction to basic quantitative techniques in Geography.
Topics may include descriptive statistics, hypothesis testing, simple
correlation and regression, analysis of variance, non-parametric
statistics, and spatial data analysis techniques such as nearest
neighbor analysis.
Course Goals and Objectives:
Brief Course Outline:
Faculty and facilities needed (For Dean review only):
Programs affected/consulted:
Geography major will benefit from taking the course and earning a Q designation. Non-geography majors may also take the course.
How and when will the effectiveness of this program be determined? (For Dean Review only)
Notes & Comments (Optional):
As found in the Faculty Senate website guidelines for Q
designations, this course fulfills all guidelines, including all of 1.,
2.ii., and all or almost all of the topics listed at the end of the
guidelines. (note that the guidelines say that "most" of the guideline
topics should be covered) The list includes random variables,
probability, sampling methods, hypothesis testing, properties of the
normal distribution, z-scores and their uses, regression, and
correlation. The only one of these that I have ever not covered is
regression.
While I teach GEOG 385 with well more than 33% of the course grade being
based on the mathematical component of the class (as per guideline
2ii), I also emphasize the importance of understanding the use of
quantitative methods and especially statistics in science.
