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Course Criteria
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4.00 Credits
Identical to ENVST-UA 332. Rampino. Offered in the spring.
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4.00 Credits
Cloning a gene. A practical course designed to provide the interested student with experience in basic molecular biology techniques, including gene amplification by polymerase chain reaction (PCR), DNA isolation and modification, bacterial transformation, preparation of plasmid DNA, and restriction enzyme analyses.
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4.00 Credits
Introduction to the methodology used to study cell structure and function. In the laboratory, students study the fundamentals of cell biology and the experimental approaches used to examine the cell. Experimental topics cover cellular, subcellular, and Biology EnterReplacementCharacter College of Arts & Science EnterReplacementCharacter New York University 89 Department of Biology macromolecule localization; biochemical analysis of the cell; and cell culture techniques.
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4.00 Credits
Fueled by recent advances in technical and informatic approaches to data collection and analysis, the biological sciences have entered a new era in which vast amounts of genome-scale sequence and functional data are becoming available for a large number of species. This new data is allowing scientists to explore biological function on an unprecedented scale. Familiarity with the fields of genomics and bioinformatics, which impact society on all levels, is vital for the next generation of scientists. This survey course introduces students to a broad range of topics in the fields of genomics and bioinformatics through lectures and handson exercises.
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4.00 Credits
Investigation into how the human body functions. Overview of cellular structure and function is followed by an in-depth study of the nervous, endocrine, cardiovascular, and other organ systems.
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4.00 Credits
The ability to organize and analyze biological data is an essential research tool. This course provides an introduction to the use of statistical methods for analyzing biological data. It introduces methods for describing and displaying data, the role and use of probability in describing and understanding living systems, hypotheses testing, and how to design experiments. Biological data and R-a free, opensource statistical software package-are used to gain proficiency with these tools.
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4.00 Credits
Intended for majors and minors in biology as a comprehensive description of microbes, the most abundant and diverse organisms on the planet. Organized into four modules: the microbial cell, microbial genomics, microbial development and adaptation, and microbial interactions with the host and the environment. Through lectures and critical analysis of primary literature, students can realize how the advent of genomics has revolutionized microbiology, a scientific discipline that is more than a century old.
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4.00 Credits
Deciphering the information encoded in the human genome is one of the great challenges of the 21st century. This course provides an introduction to the human genome and the statistical methods that are required for its study. Fundamental concepts in human genetics are introduced, including inheritance of Mendelian disease, population genetics, multifactorial disease, and functional genomics. Accompanying each topic is an introduction to the statistical concepts and tools that are required to study inheritance, genes, and gene function, including probability and conditional probability, hypothesis testing, ANOVA, regression, correlation, likelihood, and principal component analysis. Hands-on experience is provided through weekly exercises using the statistical programming language R.
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4.00 Credits
Introduction to endocrinology, with attention to the signals generating hormone synthesis and release, the means by which hormones mediate tissue responses, and the mechanisms and consequences of their interaction with target organs. Emphasizes the physiologic aspects of these processes.
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4.00 Credits
Epidemiology can be defined as the study of the frequency, distribution, and determinants of health related states or events. This course provides an introduction to this advanced discipline through discussions of important concepts, and hands-on experience analyzing health-related data sets. Data analysis utilizes both R, a statistical software package, and ArcGIS, a geographic information system software. Proficiency with these programs is achieved during lab exercises. The course also focuses on developing skills in research methods, scientific writing, and presentation of results. Students are expected to complete three case studies during the semester. Each case study includes a paper and a presentation, which help students develop communication skills.
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