data & analysis in natural sciences
ZOO6927 section 1F62
Instructor: Dr. Michal Kowalewski
Class meetings: Monday and Wednesday, period 3; 371 Dickinson Hall
Text Recommended: Readings: will assigned and provided in class
This course will combine lectures and hands-on lab activities with focus on practical applications of classic statistical methods in natural sciences. Examples will primarily derive from ecology, paleobiology, and geological sciences. Lab sessions will provide practical training in using R for data processing and analyses. The course will consist of self-contained modules built around empirical examples. Although some of the topics are inherently biological, many aspects of the course should be transferable to other disciplines of natural sciences. This course will provide intuitive (rather than mathematical) introduction to common methods used in natural sciences to analyze empirical and experimental data. The course will NOT cover phylogenetic methods.- Syllabus
biology of snakes
ZOO6927 section 11H0
Instructor: Dr. Harvey Lillywhite
Class meetings: Wednesday, periods 6-7; TBA
Textbook: H.B. Lillywhite, How Snakes Work: Structure, Function and Behavior of the World’s Snakes, Oxford University Press, 2014 (available at university book stores).
This course will feature lectures and discussions related to fundamental aspects of the biology of snakes. Topics will include evolutionary history, systematics, diversity, structure, function, and behavior, including treatment of field and laboratory techniques in research, and consideration of the health, welfare, and conservation of snake biota. Discussion will cover the processes and mechanisms of maintenance, activity, and integration in contexts of behavior, ecology, and evolutionary history. The course will feature attributes of snakes, but is also comparative in the sense that comparisons with other vertebrates will be important for certain topics of discussion.- Syllabus
READINGS in molecular ecology
BOT6935 section 14F8
Instructor: Dr. Norm Douglas
Class meetings: Tuesday, periods 7; TBA
Textbook: No textbook, readings will be shared prior to each class.
Ecological and evolutionary forces work together to shape the patterns of genetic variation within and among populations. The aim of this course is to explore the ways in which standing genetic variation of wild populations can be used to provide compelling insight into important questions about these ecological and evolutionary forces. Examples include, but are not limited to, studies of phylogeography, landscape genetics, local adaptation, migration, historical demography, bottlenecks, speciation, hybridization, and animal behavior.
This course is targeted toward both graduate students (especially those early in their graduate careers) who are interested in exploring a variety of approaches to answer the questions they will approach in their
graduate research, and to undergraduates who intend to apply to graduate school in one of the “outdoor biology” disciplines (wildlife ecology, marine science, botany, conservation biology, etc.) Prior
coursework in genetics and evolution is strongly preferred, though there are no specific prerequisites. – Syllabus
Statistical Principles for the Biological Sciences
ZOO6927 section 2E16
Instructor: Dr. José Miguel Ponciano
Class meetings: Monday and Wednesday, periods 8-9; TBA
Textbooks or Other Readings (not required) Rice 1995. Mathematical Statistics. Pielou, E.C. 1969. An introduction to mathematical ecology
R, freely distributed at http://www.r-project.org
The aim of the course is to acquaint senior undergraduates and graduate students in the natural sciences with fundamental principles of statistical inference, and provide the foundation for statistical learning in life sciences graduate school. I will share my vision of statistics and stochastic
processes as a great language to translate fundamental questions in biology into testable hypotheses and models that can be confronted with data. I will present basic probability distributions as stochastic models of ecological and genetic processes and fundamental concepts of maximum likelihood inference, Bayesian statistics and computer intensive techniques. The class will be taught using regular lectures on M & W, periods 8 & 9 and on Fridays, I will have my schedule open for office hours, all day except from 10:30AM to 1:30PM. The course will begin with a short review of basic probability concepts and an introduction to R. A note on software: The course DOES NOT focus on learning R, but rather, on providing the statistical foundation to students needing to program statistical solutions for their own biological questions. In that sense, R learning in this course does not come by repeating instructions but rather, by doing. See attached syllabus
Introduction to collections & research in natural history
ZOO6927 section 125D
Instructor:Dr. David C. Blackburn, Dr. Kitty F. Emery, & Dr. Akito Kawahara
Class meetings: Thursday, period 7; TBA
Textbook: No textbook required.
This course will introduce graduate students to research and collections in natural history museums, with a focus on the Florida Museum of Natural History. Each week we will either discuss important topics in the operations and management of scientific collections or we will tour different collections in the Florida Museum of Natural History.- See attached syllabus.
Creative scientific communication
BOT6935 & ZOO6927 sections 2F40 & 2F36
Instructors: Chris A. Johns and Dylan Klempner
Class meetings: Wednesday, period 7-8 periods; Carr 521 (Carr Hall)
Text Required: Olson, R. (2015). Houston, We have a Narrative. Chicago, IL: University of Chicago Press.
In CREATIVE SCIENTIFIC COMMUNICATION, you will attend small-group workshops led by professional writers, artists, and designers. You will tap your creative potential while building a strong foundation in media technology that illuminates scientific concepts. The course meets once per week and is generally divided into two modules: Workshops and Media Labs. In the Workshops, professional communicators share advice for creating informative and engaging scientific content. Faculty and visiting lecturers explain the principles of effective storytelling, visual composition, and design fundamentals. During in-class activities, you will begin generating material suitable for papers, posters, and presentations based on your own research projects. In the Media Lab, you will develop science-specific media technology skills that directly complement concepts from the Workshop. See attached syllabus.