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New York University 3 credits Biomolecular Science
The course will cover both classical and modern computer-intensive statistical methods. Applications to the analysis of laboratory data will include problems commonly encountered in bioinformatics, genomics, molecular biology, systems biology and medicine. Data sets will be analyzed in the context of hypotheses underlying the experiments in which they were generated. No previous background in statistics is required. | Prerequisites: MA-UY 1124 and (CS-UY 1133 or CS-UY 1113 or CS-UY 1114) or Instructor's/Advisor's permission Prerequisites: MA-UY 1124 and (CS-UY 1133 or CS-UY 1113 or CS-UY 1114) or Instructor's/Advisor's permission.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
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