BSC 4821C/BSC 5936: Biogeography (4)
This course emphasizes ecological and evolutionary biogeography, the physical processes and organismal characteristics that determine distributions, and the analytical methods used to describe distributions and test processes. Geographic data sets are analyzed in lab sessions to search for patterns and test hypotheses with the scientific method.
BSC 4933/BSC 5936: Biomathematics (3)
Interested in managing populations of endangered species, understanding how to control the spread of disease, or predicting how predators affect their prey? To answer these types of questions, many biologists use mathematical models. The goal of this course is to introduce students to the basics of mathematical modeling in biology. While some math background is helpful (e.g., first year calculus), this is not a math course and the focus is primarily on the use of math in biology, rather than on developing new math skills.
BSC 5936: Quantitative Methods (4) [class number 537]
The course covers the fundamental concepts and methods of statistical analyses as they are employed in ecology and evolutionary biology. This includes a review of probability theory and distributions, particularly those distributions most commonly encountered in the discipline. The course treats parameter estimation and hypothesis testing in detail, with applications to their most common uses in empirical work. Frequentist, Likelihood, and Bayesian approaches will be covered, with an emphasis on their practical and philosophical underpinnings. The course will emphasize the methods students are most likely to encounter in the current literature, with special emphasis on the practical aspects of sampling and experimental design. The course will also examine how biological ideas translate into the collection of data through field exercises in which the class will gather original data (as part of section 0003 – Field QM) and through readings and discussions of current journal articles. I will provide an Introduction to R, a free software program for statistics and graphics, and we will be using R to analyze data. Although students may use other statistical programs to complete most assignments, we will encourage students to work in R.
BSC 5936: Field Quantitative Methods (1) 
MCB 4403/MCB 5408: Prokaryotic Microbiology (3) [5218/5224]
This course introduces graduate level general microbiology, including material on prokaryotic cell structure and function, the molecular biology and genetics of microorganisms including viruses, and biotechological applications of microbial physiology.
PCB 4024/PCB5525: Molecular Biology (3) [7140/7147]
This course introduces students to molecular biology and molecular genetics. The emphasis is on the activities of DNA, RNA, regulation of gene expression, gene cloning, bioinformatics, and biotechnology.
PCB 4674/PCB 5672: Evolution (3) [7138/7146]
This course places emphasis on the processes of evolution: origin of life, theories of evolution, sources of variation, natural selection, population systems, isolating mechanisms, evolution above the species level.
PCB 5615: Ecological Genetics (3) 
This course covers the fundamentals of modern ecological genetics. The course begins with an overview of genetic variation, its measurement, and the forces responsible for the origin and maintenance of variation within and among populations. The remainder of the course describes the ecological context of evolution, and the ecological and evolutionary forces that shape variation within and between populations. Emphasis is placed on experimental studies of natural populations, and the relationship between theory and experiments. Several advanced topics are covered in the second part of the course: life-history evolution, sexual selection, applied ecological genetics, and molecular evolution.
PCB 5595: Advanced Molecular Biology (3) 
This course studies gene regulation and its relationship to differentiation and development.
PCB 5845: Cellular & Molecular Neuroscience (4) 
This course introduces students to basic principles of neurophysiology, including intracellular signaling, membrane potentials, synaptic communication, sensory and motor systems, and neural development and plasticity.
PSB 5077: Responsible Conduct of Research (2) 
This course is an introduction to survival skills and ethics in scientific research. The focus is on basic principles of scientific conduct and practice for graduate students pursuing careers in biomedical research.
BSC 4424/BSC 5936: Nanotechnology (3)
PCB 4024/PCB 5525: Molecular Biology (3)
PCB 4674/PCB 5672: Evolution (3)
PCB 5137: Advanced Cellular Biology (3)
This course focuses on topics such as: principles of cell organization; membrane structure and transport; cytoskeleton; signaling; organelle structure and function; energy metabolism; cellular aspects of cancer and immunity.
PCB 5447: Community Ecology (3)
PCB 5795: Sensory Physiology (3)
PCB 5936: 3D EM Macromolecules (3)
To find specific courses, search by the 3-letter course prefix in Student Central.