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  • 3.00 Credits

    Weinberg and Nixon. In a system of representative government, organizations and individuals with interests at stake often seek the support of a government relations professional.This course addresses government relations from the varying perspectives of the current or aspiring professional, the client, and the government official. It is designed to provide the students with an introduction to government affairs and lobbying at the local, state and federal levels of government and to illustrate how lobbying and the lobbyists shape and affect public policy. The course is not designed as ahow to in lobby ing, but rather it is designed to expose students to lobbying and more importantly, the lobbying process. To that end, students will draw on many disciplines such as psychology, law, history, political science, urban affairs, economics, foreign policy, domestic policy and others, to understand the complex mosaic of the lobbying and legislative process.
  • 3.00 Credits

    Mullin. This course prepares students to manage cash and debt in the public sector through a study of theory and operations. Where public finance differs from corporate finance, the difference is highlighted. Students examine current financial management techniques from a strategic perspective and learn to identify the impacts on economic development of tax policies as well as of capital projects which may draw on both public and private sources of funds. The course focuses on five main areas of inquiry: public finance theory and practice; government finance functions; public pensions, enterprises and revenue analysis; municipal bonds; and special project financing.
  • 3.00 Credits

    Nadol and Neiderman. This course examines how different strategies of ownership affect the performance of programs. This course explores the different forms of privatization, including asset sales, deregulation, and public sector contracting; ownership and managerial behavior; state-owned enterprises and mixed-ownership enterprises; US and overseas experience; and techniques and politics of privatization.
  • 3.00 Credits

    Dr. Carlo Maley and Dr. Lauren Merlo. Prerequisite(s): Permission of the Instructor. Cancers evolve by mutation and natural selection. This is the basis for both why we get cancer and why it is so hard to cure. We will survey the cancer literature through the lens of evolutionary and ecological theory and review how that theory does and does not apply to cancer biology. This course is restricted to graduate students. This course is a graduate seminar course with both student and faculty presentations and discussions.
  • 3.00 Credits

    W. Ewens, J. Hogenesch. This course serves as an introduction to the main laboratory and theoretical aspects of genomics and computational biology. The main topics discussed center around the analysis of sequences (annotation, alignment, homology, gene finding, variation between sequences, SNP's) and the functional analysis of genes (expression levels, proteomics, screens for mutants), together with a discussion of gene mapping, linkage disequilibrium and integrative genomics.
  • 3.00 Credits

    S.Master S.Hannenhalli. Prerequisite(s): Introductory Biology and Introductory Programming. The course provides a broad overview of bioinformatics and computational biology as applied to biomedical research. Course material will be geared towards answering specific biological questions ranging from detailed analysis of a single gene through whole-genome analysis, transcriptional profiling, and systems biology. The relevant principles underlying these methods will be addressed at a level appropriate for biologists without a background in computational sciences. This course should enable students to integrate modern bioinformatics tools into their research program. Should I take the course This course will emphasize hands-on experience with application to current biological research problems. However, it is not intended for computer science students who want to learn about biologically motivated algorithmic problems; GCB/CIS/BIO536 would be more appropriate for such individuals. The course will assume a solid knowledge of modern biology. An advanced undergraduate course such as BIO421 or a graduate course in Biology such as BIOL526 (Experimental Principles in Cell and Molecular Biology), BIOL527 (Advanced Molecular Biology and Genetics), BIOL528 (Advanced Molecular Genetics), BIOL540 (Genetic Systems), or equivalent, is a prerequisite.
  • 3.00 Credits

    An introductory computational biology course designed for computational scientists. 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. Students will be expected to learn the basic algorithms underlying computational biology, basi c mathematical / statistical proofs and molecular biology. Topics to be cover ed are genome annotation and string algorithms, pattern search and statistical learning, molecular evolution and phylogenetics and small molecule folding.
  • 3.00 Credits

    S. Hannenhalli, L. Wang. A discussion of special research topics.
  • 3.00 Credits

    Dr. Riethman. Recent advances in molecular biology, computer science, and engineering have opened up new possibilities for studying the biology of organisms. Biologists now have access to the complete set of cellular instructions encoded in the DNA of specific organisms, including dozens of bacterial species, the yeast Saccharomyces cerevisiae, the nematode C. elegans, and the fruit fly Drosophila melanogaster. The goals of the course are to 1) introduce the basic principles involved in mapping and sequencing genomes, 2) familiarize the students with new instrumentation, informatics tools, and laboratory automation technologies related to genomics; 3) teach the students how to access the information and biological materials that are being developed in genomics, and 4) examine how these new tools and resources are being applied to specific research problems.
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