Syllabus for IBS 592 Quantitative Methods in PBEE - Emory ...
Syllabus for IBS 592 Quantitative Methods in PBEE - Emory ...
Syllabus for IBS 592 Quantitative Methods in PBEE - Emory ...
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<strong>Syllabus</strong> <strong>for</strong> <strong>IBS</strong> <strong>592</strong><br />
<strong>Quantitative</strong> <strong>Methods</strong> <strong>in</strong> <strong>PBEE</strong><br />
Revised: 24 February 2010<br />
Course Description<br />
This course will <strong>in</strong>troduce the student to fundamentals of quantitative methods and<br />
analysis of data relevant to the Population Biology Ecology and Evolution (<strong>PBEE</strong>) graduate<br />
program. This course is required <strong>for</strong> <strong>PBEE</strong> graduate students.<br />
Course Director<br />
Dr. Lance Waller<br />
Office: 326 Grace C. Roll<strong>in</strong>s Bldg<br />
Phone: 404-727-1057<br />
Email: lwaller@sph.emory.edu<br />
Course Instructors<br />
Dr. Karen Conneely<br />
Office: 344 Whitehead Biomedical Research Build<strong>in</strong>g<br />
Phone: 404-727-2986<br />
Email: kconnee@emory.edu<br />
Dr. Michael Epste<strong>in</strong><br />
Office: Whitehead Biomedical Research Build<strong>in</strong>g<br />
Phone: 404-712-8289<br />
Email: mpepste@emory.edu<br />
Course In<strong>for</strong>mation<br />
Course Type: Lecture<br />
Build<strong>in</strong>g/Room: TBD<br />
Meet<strong>in</strong>g time: TBD<br />
Maximum Enrollment: 20<br />
Permission requirements: Non-<strong>PBEE</strong> graduate students need permission from <strong>in</strong>structors.<br />
This course is taught dur<strong>in</strong>g the spr<strong>in</strong>g semester of even-numbered years.<br />
Course Objectives<br />
Through this course, students are expected ga<strong>in</strong> experience us<strong>in</strong>g methods of model<strong>in</strong>g<br />
ecological and evolutionary problems <strong>in</strong> population biology us<strong>in</strong>g the R computer language.<br />
They should develop the skills necessary to <strong>in</strong>dependently develop and analyze population<br />
biology models.<br />
Blackboard<br />
There will be a Blackboard site <strong>for</strong> the class.
Student Evaluation<br />
Student per<strong>for</strong>mance is evaluated through a comb<strong>in</strong>ation of homework assignments,<br />
<strong>for</strong>mal written exam<strong>in</strong>ations, and by the students participation <strong>in</strong> class discussions which will<br />
focus on a critical read<strong>in</strong>g of both the text and selected primary literature. The f<strong>in</strong>al grade is<br />
based on the follow<strong>in</strong>g breakdown:<br />
Midterm exam 25%<br />
F<strong>in</strong>al exam 25%<br />
Homework 30%<br />
Participation 20%<br />
Credit Hours<br />
This is a 4 credit hour class.<br />
Required Textbooks<br />
The follow<strong>in</strong>g textbook is required <strong>for</strong> the class:<br />
Bolker, B.M. 2008. Ecological Models and Data <strong>in</strong> R. Pr<strong>in</strong>ceton and Ox<strong>for</strong>d: Pr<strong>in</strong>ceton<br />
University Press, 1st Edition.<br />
Selected Primary Literature<br />
Additional papers will be identified by the <strong>in</strong>structors.<br />
Additional Read<strong>in</strong>g<br />
Additional read<strong>in</strong>g will be identified by the <strong>in</strong>structors.<br />
Assignments<br />
For each topic, the read<strong>in</strong>g assignments <strong>in</strong>clude the relevant chapters from the above<br />
books and a few key classic papers identified as conceptual or methodological<br />
breakthroughs. The homework assignments will consist of quantitative problem sets and may<br />
<strong>in</strong>clude application of computer programs.<br />
Class Calendar<br />
A detailed class calendar will be provided by the <strong>in</strong>structors.
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