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Degree Programs
Doctoral Degree Coursework
Doctoral degree coursework is divided into required and elective courses. Electives are selected with the guidance of the faculty advisor and master’s supervisory committee. A Plan of Study form documenting the required electives must be completed by the supervisory committee and kept in the student’s permanent academic file.
The following courses are required for all Master's and Ph.D. students:
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Link to Course
Web Site |
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| STAT 512 |
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Statistical Inference I (4 credits) |
| STAT 513 |
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Statistical Inference II (4 credits) |
| QERM 550 |
QERM 550 |
Applied Ecological Modeling and Spatial Analysis (5 credits) (click on David Ford's Teaching to access course web site) |
| AMATH 422 |
AMATH 422 |
Introduction to Mathematical Biology (3 credits) |
| QERM 514 |
QERM 514 |
Analysis of Ecological and Environmental Data (4 credits) |
QERM 597 Autumn Qtr |
QERM 597 Autumn Qtr |
The autumn quarter seminar will cover three current and important topics in quantitative ecology and resource management:
1) Climate change and water resources
2) Sustainable management of resources
3) Invasive species.
Introductory papers in each topic will be read and discussed in seminar meetings facilitated by small teams of QERM faculty. The goal is to explore the basic challenges and issues in each topic and demonstrate the interdisciplinary nature of the issues from the perspective of the QERM program. (2 credits) |
QERM 597
Spring Qtr |
QERM 597
Spring Qtr |
QERM Spring Seminar (2 credits) All students are required to register for QERM 597 each spring in residence. |
| QERM 800 |
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Dissertation Credits. 27 credits minimum for doctoral degree. A maximum of 10 thesis credits may be taken in any one academic quarter. |
| Outside Seminar |
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One seminar annually in affiliated department such as Fisheries, Forestry, Statistics, Biostatistics, Applied Math, Biology, etc. |
Students entering the program with little or no statistical background are advised to consider taking STAT 421 (Applied Statistics and Experimental Design) in their first year for preparation in this area.
A student’s supervisory committee may also recommend a course in scientific writing (TC 509 (Writing the Scientific Article), FISH 521 (Grant Proposal Writing for Graduate Students).
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