CmpE 343 Introduction to Probability and Statistics for Computer Engineers

Catalog Data

Introduction to probability theory. Random variables, expectation, variance and moment generating functions. Distributions: Bernoulli, binomial, uniform, Gaussian, exponential, Poisson, gamma. Introduction to statistical concepts. Sampling and sample statistics. Point and interval estimation. Hypothesis testing. Regression. Numerical and computational aspects of random variable generation, sampling, and estimation.

Textbook

R. E. Walpole, R. H. Myers, S. L. Myers, K. Ye (2006) Probability and Statistics for Engineers and Scientists, Prentice-Hall (Pearson). (9th edition is available at BU Bookstore, but there is no significant difference in the last few editions, so if you find a copy of 5th edition or later, you should be fine).

 

Recommended: S. Lipschutz, J. Schiller (1998). Introduction to Probability and Statistics, Schaum’s ouTlines, McGraw-Hill.

Instructor

Prof. Ethem ALPAYDIN, alpaydin AT boun.edu.tr

Teaching Assistants

İsmail Arı, Cem Keskin.

See the Course Web Page for grades and extra material.

Prerequisite

Math 101.

Topics

·  Introduction

·  Probability

·  Random Variables and Probability Distributions

·  Mathematical Expectation

·  Discrete and Continuous Probability Distributions

·  Sampling

·  Sample Estimation

·  Hypothesis Testing

·  Regression

Total Credits

3.

Grading