Gang Liang
346G Computer Science
949-824-9795 (o)
liang@uci.edu
Office hours: TW 2:45-4pm or by appointment
Lecture: MWF 12:00-12:50pm @ SE2 1304
Discussion: Tu 4-4:50pm @ SSTR 100
Class syllabus and some adminitria
are here.
Success in statistical analysis depends on continually
juxtaposing the real world and the conceptual world. We
use concepts to guide our understanding of the real
world; we use the real world to steer us to better
concepts and increased future understanding.
- Samuel A. Schmitt
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| Week 01 |
sample space, axioms of probability, discrete uniform
law, additive/multiplicative rules
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| Week 02 |
counting, conditional distributions, independence,
Bayes's theorem
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| Week 03 |
random variables, expectation, mean, variance,
important discrete distributions
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| Week 04 |
joint/conditional/marginal probability, continuous
random variables
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| Week 05 |
some important continuouse distributions,
transformation of variables, midterm
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| Week 06 |
joint/marginal distribution, independence,
marginal/conditional expectation
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| Week 07 |
probability model, maximum likelihood estimate, methods
of moment
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| Week 08 |
central limit theorem, law of large number, confidence
intervals
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| Week 09 |
simple linear regression, regression effect
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| Week 10 |
all questions answered
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Homework 1, solution, Due April 14 (Fri)
Homework 2, solution, Due April 21 (Fri)
Homework 3, solution, Due April 28 (Fri)
Homework 4, solution, Due May 8 (Mon)
Homework 5, solution, Due May 12 (Fri)
Homework 6, solution, Due May 19 (Fri)
Homework 7, solution, Due May 26 (Fri)
Homework 8, solution, Due Jun 2 (Fri)
Homework 9, solution
Sample Midterm, solution
Sample Final, solution
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