Biometry
Reference Texts:
Evaluation:
Minor I: 30
Minor II: 30
Major: 40
Audit Pass Requirement: 50/100
Course Objective:
To equip biological scientists with a required analytical and computational background in probability and data analysis, with examples of inherently noisy data commonly encountered/expected in biological research.
Course Contents:
Probability and Set theory: Application to biological data, Random variables: Individuals vs. populations in biological systems, Classification of data: "Discreteness or Continuity" in biological evolution, Distributions, Descriptive statistics, Inferential statistics, Analysis of variance (ANOVA), ANOVA-advanced concepts, Power analysis of variance, Regression and Correlation, Count/Frequency data. MATLAB based assignment activities will be designed for data simulation and analysis corresponding to the covered lecture material.
Software:
MATLAB, MS-Excel, or any other, of relevance, preferable to you!
Download Assignment - Minor II (.pdf file)