Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
ECE 505 an 2015'
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Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 1  ECE 503 Fall 2015
Assigned on: Tuesday, September 1, 2015.
Due Date: Wed, September 9, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts) or Upload on D2L. Only scanned copies of
your paper will be
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
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Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 2  ECE 503 Fall 2015
Assigned on: Friday, September 18, 2015.
Due Date: Friday, September 25, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
Maximum Credit: 20 points
1. [1 point] Consider a ran
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 4  ECE 503 Fall 2015
Assigned on: Monday, October 26, 2015.
Due Date: Monday, November 2nd, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
Maximum Credit: 20 points
1. [3 points] The PDF of the
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 6  ECE 503 Fall 2015
Assigned on: Thursday, November 19, 2015.
Due Date: Wednesday, November 25, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
Maximum Credit: 20 points
1. [3 points] Consider t
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 5  ECE 503 Fall 2015
Assigned on: Sunday, November 1, 2015.
Due Date: Friday, November 6, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
Maximum Credit: 20 points
1. [3 points] Let U uniform[0,
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Due Date: Wednesday, October 21, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class
(just beforetoclass
Solutions
HWstarts).
3
Maximum Credit: 20 points
ECE 503: Fall 2015
1. [4 points] Let X and Y be independent exponential random varia
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
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Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 3  ECE 503 Fall 2015
Assigned on: Wednesday, October 14, 2015.
Due Date: Wednesday, October 21, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
Maximum Credit: 20 points
1. [4 points] Let X and Y
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Due Date: Monday, November 2nd, 2015 by 11:00 am Tucson Time.
Mode of submission: Submit in class (just before class starts).
HW4 Solution ECE 503 Fall 2015
Maximum Credit: 20 points
1. [2 points] The PDF of the 3dimensional random vector X = (X1 , X2
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
Homework 7  ECE 503 Fall 2015
Assigned on: Tuesday, December 1 , 2015.
Due Date: Wednesday, December 9, 2015 by 5:00 pm Tucson Time.
Mode of submission: Submit in my mailbox (ECE building).
Maximum Credit: 30 points
1. [3 points] For each of the foll
Probability and Random Processes for Engineering Applications
ECE 503

Spring 2014
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Consumer Behaviour
Coodronator : Manolica Adriana
Student: Erimia GeorgianaMaria
Business Administration,Group 1,Year II
Summary
Chapter I
Introduction .1
Brand Presentation . 2
Chapter II
Perception Test .3
Chapter III
Chineese Test .4
Chapter IV
Genera
Summary
Chapter I
Introduction .1
Brand Presentation . 2
Chapter II
Perception Test .3
Chapter III
Chineese Test .5
Chapter IV
General conclusion .14
Chapter V
Managerial Implication.15
Annex .16
Consumer Behaviour
Consumer Behaviour is the study of when,
Consumer Behaviour
Consumer Behaviour is the study of when,why,how,and where people do or do not buy a
product.It attepmts to understand the buyer decision making process;both individually and in
groups.It studies characteristics of individual consumers s
Econometrics Project
Theory
In the first part of this project, I will analyze the relationship between real GDP per capita
and the average annual gross earnings. In order to estimate what is the nature of this relationship,
we need better understanding of