## 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). (9^{th}
edition is available at BU Bookstore, but there is no significant difference in
the last few editions, so if you find a copy of 5^{th} 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

### Teaching Assistant

Beyza Ermis.

### Prerequisite

Math
101.

### Topics

###

· Introduction LectureNotes1

· Probability LectureNotes2

· Random Variables and Probability Distributions LectureNotes3

· Mathematical Expectation LectureNotes4

· Discrete Probability Distributions LectureNotes5

- Continuous Probability Distributions
LectureNotes6

- Simulating Random Experiments LectureNotes7

· Sampling LectureNotes8

· Parameter Estimation LectureNotes9

· Hypothesis Testing LectureNotes10

· Regression LectureNotes11

### Total Credits

3.

### Grading

- 2 Mid-terms 2*30%
- Final 40%