WEEK #20: Probabilistic Models, Diusion and Genetics
Goals:
Textbook reading for Week #20: Study Adler Section 6.1, 6.2.
Course Information
For the rest of the course, we will be working with fundamental ideas in probability, and
how they relate to biolog
WEEK #18:
Chain Rule
Directional Derivatives and the Gradient; the
Goals:
To introduce the directional derivative and the gradient vector.
To learn how to compute the gradient vector and how it relates to the directional
derivative.
To explore how the
WEEK #22:
Spread
PDFs and CDFs, Measures of Center and
Goals:
Explore the eect of independent events in probability calculations.
Present a number of ways to represent probability distributions.
Textbook reading for Week #22: Study Adler Section 6.6 - 6
WEEK #19:
Higher Partial Derivatives, and Optimization
Goals:
We will compute and interpret higher partial derivatives.
We will introduce types of critical points in multivariate functions.
We will compute optimal values in application problems.
Textbo
WEEK #21: Genetics, Probability Theory, Conditional Probability
Goals:
Textbook reading for Week #21: Study Adler Section 6.3, 6.4, 6.5.
Probability Theory Review
From Section 6.3
Venn diagrams are a graphical way to represent sets, their overlap, and the
WEEK #23: Statistics for Spread; Binomial Distribution
Goals:
Study measures of central spread, such interquartile range, variance, and standard
deviation.
Introduce standard distributions, including the binomial distribution.
Textbook reading for Week
WEEK #24: Poisson Distribution; Probability Applications
Goals:
The Poisson Distribution
Probability Applications
Textbook reading for Week #24: Study Adler Section 7.7
2
Binomial Distribution Review
Question The formula for the binomial distribution is
WEEK #20: Probabilistic Models, Diusion and Genetics
Goals:
Textbook reading for Week #20: Study Adler Section 6.1, 6.2.
2
Course Information
For the rest of the course, we will be working with fundamental ideas in probability,
and how they relate to biol
WEEK #23: Statistics for Spread; Binomial Distribution
Goals:
Study measures of central spread, such interquartile range, variance, and standard deviation.
Introduce standard distributions, including the binomial distribution.
Textbook reading for Week
WEEK #21: Genetics, Probability Theory, Conditional Probability
Goals:
Textbook reading for Week #21: Study Adler Section 6.3, 6.4, 6.5.
2
Probability Theory Review
From Section 6.3
Venn diagrams are a graphical way to represent sets, their overlap, and t
WEEK #22: PDFs and CDFs, Measures of Center and Spread
Goals:
Explore the eect of independent events in probability calculations.
Present a number of ways to represent probability distributions.
Textbook reading for Week #22: Study Adler Section 6.6 - 6