Courses - Fall 2023
BIOL
Biology
BIOL608K
Biology Seminar; Biological Sciences Teaching and Learning in Higher Education
Credits:
2
Grad Meth:
Reg
Cross-listed with CBMG699K, CHEM608K, and ENTM699K. Credit will be grant edfor only one of the following: BIOL608K, CBMG699K, CHEM608K, or ENTM699K.
BIOL609
Special Problems in Biology
Credits:
1 - 6
Grad Meth:
Reg
BIOL667
Mathematical Biology
Credits:
4
Grad Meth:
Reg
Credit only granted for: BIOL667 or ZOOL625.
Formerly: ZOOL625.
Mathematical methods of analyzing deterministic and stochastic biological processes from a variety of areas (including population and evolutionary biology, neurobiology, physiology, and morphogenesis). Qualitative aspects of dynamical systems which are usually given as difference or differential equations. The computer program Mathematica will be used to obtain the numerical solutions of these equations.
BIOL704
Cell Biology from a Biophysical Perspective
Credits:
3
Grad Meth:
Reg
Recommended: BSCI330, PHYS121, and PHYS122.
Cross-listed with: BIPH704.
Jointly offered with: BSCI404.
Credit only granted for: BSCI404, BIOL704, BIOL708O, or BIPH704.
Formerly: BIOL708O.
An approach to cell biology by focusing on mechanisms and unifying paradigms. It will not assume a great deal of factual biological knowledge, but will expect a background that prepares students to think quantitatively and mechanistically.
BIOL708A
Advanced Topics in Biology; Evolution of Aging
Credits:
1
Grad Meth:
Reg
Credit only granted for BSCI339R and BIOL708A.
Discuss alternative reasons for why animals age at different rates. Weekly meetings will be student-led discussions of classic and recent literature. Topics will include, but are not limited to, evolutionary theories of aging, biomarkers of aging, sex differences in aging, experimental manipulations that alter lifespan in model and nonmodel organisms, and the interactions between the immune system and aging.
Discuss alternative reasons for why animals age at different rates. Weekly meetings will be student-led discussions of classic and recent literature. Topics will include, but are not limited to, evolutionary theories of aging, biomarkers of aging, sex differences in aging, experimental manipulations that alter lifespan in model and nonmodel organisms, and the interactions between the immune system and aging.
BIOL708B
Advanced Topics in Biology; Animal Behavior
Credits:
3
Grad Meth:
Reg
Credit only granted for BSCI360 and BIOL708B.
Study of animal behavior with emphasis on its evolution and function. Topics include genetic basis of behavior, communication, aggression, foraging, cooperation, mate selection, and relevance for conservation.
Study of animal behavior with emphasis on its evolution and function. Topics include genetic basis of behavior, communication, aggression, foraging, cooperation, mate selection, and relevance for conservation.
BIOL708M
Advanced Topics in Biology; Mammalian Physiology
Credits:
3
Grad Meth:
Reg
Credit only granted for BIOL708M, BSCI338L, BSCI440, or BSCI450.
A study of the cardiovascular, hemopoietic, gastrointestinal, renal, and respiratory systems. Chemical and endocrine regulation of physiological functions in mammals.
A study of the cardiovascular, hemopoietic, gastrointestinal, renal, and respiratory systems. Chemical and endocrine regulation of physiological functions in mammals.
BIOL709C
Selected Advanced Topics in Biology; Population and Evolutionary Genetics
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for BSCI339J, BSCI405, or BIOL709C.
Genetic variation within a population provides the basis for future evolution as well as a record of past evolution. The genomics revolution provides data on this variation that, together with mathematical models, allow us to read this record to reconstruct evolutionary trajectories. Examples will focus on hominin and pathogen evolution. In the lab, students will use models to explore how genetic variation (allele frequencies) changes over time and space.
Genetic variation within a population provides the basis for future evolution as well as a record of past evolution. The genomics revolution provides data on this variation that, together with mathematical models, allow us to read this record to reconstruct evolutionary trajectories. Examples will focus on hominin and pathogen evolution. In the lab, students will use models to explore how genetic variation (allele frequencies) changes over time and space.
BIOL709W
Selected Advanced Topics in Biology; Molecular Neuroethology
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for BSCI339W, BSCI381, or BIOL709W.
The brain generates a tremendous variety of behaviors, but how it achieves these feats remains largely unknown. Genetics and molecular tools yield fundamental insights into how the brain senses its environment and determines an appropriate course of action. This course will describe modern genetic manipulations (eg, CRISPR editing) and neuronal interventions (e. g., optogenetics), and discuss the quantification of behavioral outputs. Course consists of lectures plus readings and group discussionsof primary scientific literature.
The brain generates a tremendous variety of behaviors, but how it achieves these feats remains largely unknown. Genetics and molecular tools yield fundamental insights into how the brain senses its environment and determines an appropriate course of action. This course will describe modern genetic manipulations (eg, CRISPR editing) and neuronal interventions (e. g., optogenetics), and discuss the quantification of behavioral outputs. Course consists of lectures plus readings and group discussionsof primary scientific literature.
BIOL721
Mathematical Population Biology
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Calculus, differential equations, modeling, linear algebra, familiarity with mathematical software and programming languages (e.g., MATLAB, R, Python etc.); or permission of instructor.
Cross-listed with: AMSC721.
Credit only granted for: AMSC721 or BIOL721.
Additional information: Open to advanced undergraduates by permission of instructor.
Foundational principles for modeling and analysis of real-life phenomena in population biology. Topics include design and analysis of models for general classes of unstructured (single species discrete-time and continuous-time, interacting populations etc.) and structured (spatially-structured, age- structured, sex-structured) population biology models in ecology and epidemiology, dynamics analysis of population biology models (asymptotic stability and bifurcation theory), numerical discretization of continuous-time models, statistical analysis (parameter estimation, uncertainty quantification).
BIOL799
Master's Thesis Research
Credits:
1 - 6
Grad Meth:
S-F
BIOL898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
BIOL899
Doctoral Dissertation Research
Credits:
6
Grad Meth:
S-F
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University of Maryland, College Park, MD 20742, USA
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