UCLA Graduate Course Announcement – Winter 2003
STAT
M251 / OBEE M216
Statistical
Methods for the Life Sciences
Instructor: Ivo D. Dinov
Statistics/Neurology
|
Time: M W F 9:00 – 9:50 AM |
Place: (LS)
Life Sciences 2142 |
Brief Description:
This will be a modern graduate course in statistics for life science and
biomedical students. We will present the most popular statistical tools for
data analysis and support those with an elaborate framework of simulations,
applets, compute-engines, movies and real-time Internet resources. A number of
course projects (papers) will help the students gain a hands-on experience on
design of scientific experiments, data acquisition, processing, integration,
statistical analysis and presentation.
Topics: 1. Variables, measurements, statistics and
parameters.
2.
Normal,
Binomial and Poisson distributions. Basic statistics.
3.
Limit
Theorems: Central Limit Theorem (CLT), Laws of Large Numbers (LLN).
4.
Confidence
Intervals.
5.
Inferences
About One Or Two Populations.
6.
Design
of studies and experiments.
7.
Analysis
Of Variance (ANOVA), F-test.
8.
Regression
and Correlation.
9.
Principle
Component Analysis.
10.
Hypothesis
Testing.
11.
c2
(Chi-Square) goodness-of-fit test.
12.
Bootstrapping.
Textbook: Statistical
Research Methods in the Life Sciences, by P.V. Rao, Duxbury Press.
Grading: Several Take-Home Projects
and a Final Exam (format to be determined). Letter grade or S/U.
Prerequisites: Stat 13,
or instructors approval (PTE).
More info: http://www.stat.ucla.edu/~dinov/courses_students.html