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Research Methods for Science

By: Material type: TextTextPublication details: Cambridge ; New York Cambridge University Press 2011Description: viii, 227 pages : illustrationsISBN:
  • 9781107621992
Subject(s): DDC classification:
  • 507.2 MAR-R
Contents:
1. Curiosity and research: Course goals -- Kinds of questions -- Research methods for science -- Putting methods together -- 2. Overview of experimental analysis and design: Hypothesis-driven experiments -- Measuring values -- Improving experiments -- Safety and ethics -- 3. Statistics: Motivations for statistics -- Reducing many numbers to few -- Probability distributions -- Connecting data and probability distributions -- What happens to averages as N increases -- Central limit theorem -- Comparing many experimental measurements -- Data with many values of independent variable -- Other statistical tests -- 4. Mathematical models: Ingredients of mathematical modeling -- Estimation -- Linear regression -- Matching arbitrary functions to data -- Fourier transforms -- Deterministic modeling -- 5. Scientific information: Writing a proposal -- Writing scientific papers -- Scientific figures -- Giving scientific presentations -- Searching for scientific information -- Obtaining scientific articles -- Reading scientific papers.
Summary: An introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The book discusses experimental design, statistics, mathematical modelling, and preparing scientific papers and presentations.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 507.2 MAR-R (Browse shelf(Opens below)) Available DCB2732

1. Curiosity and research: Course goals -- Kinds of questions -- Research methods for science -- Putting methods together -- 2. Overview of experimental analysis and design: Hypothesis-driven experiments -- Measuring values -- Improving experiments -- Safety and ethics -- 3. Statistics: Motivations for statistics -- Reducing many numbers to few -- Probability distributions -- Connecting data and probability distributions -- What happens to averages as N increases -- Central limit theorem -- Comparing many experimental measurements -- Data with many values of independent variable -- Other statistical tests -- 4. Mathematical models: Ingredients of mathematical modeling -- Estimation -- Linear regression -- Matching arbitrary functions to data -- Fourier transforms -- Deterministic modeling -- 5. Scientific information: Writing a proposal -- Writing scientific papers -- Scientific figures -- Giving scientific presentations -- Searching for scientific information -- Obtaining scientific articles -- Reading scientific papers.

An introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The book discusses experimental design, statistics, mathematical modelling, and preparing scientific papers and presentations.

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