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BIOL 526: Experimental Principles in Cell and Molecular Biology
3.00 Credits
University of Pennsylvania
Cashmore. The course aims to introduce principles of current experimental techniques used in modern biology.
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BIOL 526 - Experimental Principles in Cell and Molecular Biology
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BIOL 527: Genetics for Computational Biology
3.00 Credits
University of Pennsylvania
Bonini/Gallagher/Guild. Prerequisite(s): BIOL 101 or 121. Permission of instructor needed. This course will survey the discipline of molecular genetics. Two broad areas will be considered: 1) Molecular biology: DNA replication, transcription, translation, and the regulation of gene expression in both prokaryotic and eukaryotic systems and genomics and 2) Genetics: basic Mendelian & molecular genetics.
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BIOL 527 - Genetics for Computational Biology
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BIOL 535: Ecological Modeling
3.00 Credits
University of Pennsylvania
Dunham. Survey and development of mathematical theories in ecology, particularly theories of population growth, predation, and competition, as well as other topics of current interest.
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BIOL 535 - Ecological Modeling
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BIOL 536: Computational Biology
3.00 Credits
University of Pennsylvania
Kim. Prerequisite(s): College level introductory biology required; undergraduate or graduate level statistics taken previously or concurrently required; molecular biology and/or genetics encouraged; programming experience encouraged. Introductory computational biology course designed for both biology students and computer science, engineering students. The course will cover fundamentals of algorithms, statistics, and mathematics as applied to biological problems. In particular, emphasis will be given to biological problem modeling and understanding the algorithms and mathematical procedures at the "pencil and paper" level. That is, practical implementation of the algorithms is not taught but principles of the algorithms are covered using small sized examples. Topics to be covered are: genome annotation and string algorithms, pattern search and statistical learning, molecular evolution and phylogenetics, functional genomics and systems level analysis.
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BIOL 536 - Computational Biology
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BIOL 537: Advanced Computational Biology
3.00 Credits
University of Pennsylvania
Staff. Prerequisite(s): BIOL 536 or permission of instructor. Discussion of special research topics.
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BIOL 537 - Advanced Computational Biology
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BIOL 540: Genetic Analysis
3.00 Credits
University of Pennsylvania
Poethig. Prerequisite(s): BIOL 221 or permission of instructor. The logic and methodology of genetic analysis in plants and animals. This lecture course will focus on the use of mutations to study gene function and higher order biological processes, methods for reporting and manipulating gene expression, and analysis of the genetic basis of natural variation.
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BIOL 540 - Genetic Analysis
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BIOL 544: Mathematics for Biologists
3.00 Credits
University of Pennsylvania
Dunham. Review of basic mathematics designed to equip students to handle applications to model problems in biological science. Topics to be considered will depend on the interests and needs of the student.
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BIOL 544 - Mathematics for Biologists
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BIOL 556: Advanced Statistics
3.00 Credits
University of Pennsylvania
Petraitis. Prerequisite(s): BIOL 446 or equivalent, and permission of instructor. Advanced statistical methods, including multivariate techniques (in particular discriminant functions, principal components, multiple correlation, and regression) and the design and analysis of experiments.
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BIOL 556 - Advanced Statistics
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BIOL 615: Seminar on Environmental and Evolutionary Biology
3.00 Credits
University of Pennsylvania
Staff. Selection and presentation of current papers of interest in the areas of environmental and evolutionary biology.
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BIOL 615 - Seminar on Environmental and Evolutionary Biology
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BIOL 700: Topics in Molecular,Cellular,and Developmental Biology
3.00 Credits
University of Pennsylvania
Staff. Course open to Biology graduate students only. Faculty research presentations in Cell and Molecular Biology.
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BIOL 700 - Topics in Molecular,Cellular,and Developmental Biology
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