E&ES302 - Statistical Methods for Research Scientists

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Statistical Methods for Research Scientists
E&ES302 SP

Students graduating from college today face an increasingly technical and computer oriented society that demands a quantitatively skilled work force. This is especially true withing the fields of math and science. This upper level course will provide student participants with a broad introduction to statistical methods commonly used by research scientists. This objective will be accomplished through lectures, selected readings from the primary literature, and computer exercised built around existing climate and environmental data sets. Emphasis will be placed on developing an understanding of the concepts underlying various methods and gaining the insights needed to determine which tests are appropriate for a particular application or data set.

MAJOR READINGS

Based on selected readings from:
J.C. Davis, STATISTICS AND DATA ANALYSIS IN GEOLOGY
Snedecor and Cochran, STATISTICAL METHODS
Selected papers from the open literature
Various onlin statistics resources, (e.g., http://www.ruf.rice.edu/~lane/stat_sim/)

EXAMINATIONS AND ASSIGNMENTS

Weekly statistical exercises, a project and a final exam.

ADDITIONAL REQUIREMENTS and/or COMMENTS

Prerequisites: Basic computer skills, one semestet of calculus and/or linear algebra will be helpful. Experience with computer programming helpful but not required. Enrollment will be limited, interested students should contact the instructor for permission.

Unless preregistered students attend the first class meeting or communicate directly with the instructor prior to the first class, they will be dropped from the class list. NOTE: Students must still submit a completed Drop/Add form to the Registrar's Office.

COURSE FORMAT: Lecture/Discussion

REGISTRATION INFORMATION

Level: UGRD Credit: 1 Gen Ed Area Dept: NONE Grading Mode: Graded

Prerequisites: NONE

SECTION 01

Instructor(s): STAFF

Instructor's Course Page

Times: ...W... 11:00AM-11:50AM; ...W... 02:40PM-04:30PM; Location: SCIE509A

Reserved Seats: (Total Limit: 18)

SR. major: 2 Jr. major: 8

SR. non-major: 2 Jr. non-major: 1 SO: 5 FR:

Special Attributes:

Curricular Renewal: Quantitative Reasoning

Last Updated on MAR-24-2000