Ivo Dinov
UCLA Statistics, Neurology, LONI
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Statistics 35
Winter 2006
Interactive & Computational Probability

Text & Syllabus

Instructor:
Ivo D. Dinov, Ph.D.
Assistant Professor of Statistics and Neurology
UCLA School of Medicine
E-mail: dinov@stat.ucla.edu


Textbook:
Instructor's Notes and SOCR resource pages

Overall Description:

Lecture, three hours; discussion, one hour. Requisites: Mathematics 31A, Program in Computing 10A.
Basic introductory probability topics in interactive problem-driven manner. Various applets, interfaces, and demonstrations used to illustrate fundamental properties of distributions, random number generation, combinatorics, expectation, variability, and sampling. Assignment of projects that require light computer programming. Emphasis on practical description, utilization, and graphical presentation of various probabilistic modeling techniques. P/NP or letter grading.

Tentative schedule of topics to be covered
  1. Introduction - Probability, data analysis, sampling theory and statistical inference.
  2. Basic Probability

  3. Descriptive Data Analysis of random samples

  4. Sampling and back to probability

  5. Statistical Inference

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