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BINF 700: Directed Research/Project
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6.00 Credits
New Jersey Institute of Technology
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BINF 7910: Research and Developments in Medical Informatics:Colloquium
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1.00 Credits
New Jersey Institute of Technology
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This is a required course for all doctoral students. These seminar series prepare students for advanced research in biomedical informatics. Invited lecturers, experts in their various research domains, present major advances in biomedical informatics research. The lecturers are from within and outside the UMDNJ academic community as well as the health industry in general and affiliated industries. Biostatistics: Offered by the UMDNJ-New Jersey Medical School
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BINF 7910 - Research and Developments in Medical Informatics:Colloquium
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BIO 613: Life Tables and Survival Analysis
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3.00 Credits
New Jersey Institute of Technology
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Prerequisites: biostatistics core course; a thorough knowledge of precalculus mathematics is assumed; calculus is strongly recommended but not required. Introduction to theory and applications. Recognition of situations that call for life table methods. Selection and application of methods and analysis. Explanation and interpretation of analyses.
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BIO 613 - Life Tables and Survival Analysis
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BIO 614: Categorical Data Analysis
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3.00 Credits
New Jersey Institute of Technology
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Prerequisites: biostatistics core course or equivalent. A practical introduction to methods for analysis of frequency tabulations commonly used in public health research. Exercises are based on public health literature. Evaluate relationships between categorical factors by which frequency data are cross-classified. Apply principles of study design and sample size planning. Provide statistically valid interpretation of results fromcategorical data analysis. A statistical computer package such as SAS, STATA or SPSS is used for computation.
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BIO 614 - Categorical Data Analysis
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BIO 618: Nonparametric Statistical Methods
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3.00 Credits
New Jersey Institute of Technology
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Prerequisites: biostatistics core course or equivalent. Choose and apply the most appropriate parametric or nonparametric test or procedure for analyzing a given set of research data, taking into consideration the manner in which the sample was drawn, the nature of the population from which it was drawn, and the kind of measurement or scaling that was employed to define the variables in the study.
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BIO 618 - Nonparametric Statistical Methods
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BIO 619: Biostatistical Consulting
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2.00 Credits
New Jersey Institute of Technology
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Prerequisites: biostatistics, epidemiology, and health information systems core courses. Provides skills needed for statistical consulting in public health. Career Development Services :
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BIO 619 - Biostatistical Consulting
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BIOL 410: Senior Project
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3.00 Credits
New Jersey Institute of Technology
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Prerequisite: senior standing in biology. Complete a research project under the individual guidance of a faculty member affiliated with the program.
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BIOL 410 - Senior Project
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BIOL 638: Computational Ecology
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3.00 Credits
New Jersey Institute of Technology
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An overview of computational approaches to the study of mathematical models in ecology. Topics include one-, two-, and multi-species models, life history analysis, spatial dynamics, epidemiology. The course is taught as a hands-on computer lab in which students explore models, perform simulations and solve problems. Effective From: Spring 2006
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BIOL 638 - Computational Ecology
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BIOL 791: Biology Seminar
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0.00 Credits
New Jersey Institute of Technology
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This seminar includes student and faculty presentations on current papers, student presentations related to their research and occasional outside speakers. It will acquaint students with possible topics for dissertation search, and provide an opportunity to present and receive feedback on current work.
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BIOL 791 - Biology Seminar
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BIOL 794: Computational Biology Colloquium
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1.00 Credits
New Jersey Institute of Technology
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Prerequisite: graduate standing. Students and outside speakers present and discuss current research activities in computational biology and related scientific areas.
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BIOL 794 - Computational Biology Colloquium
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