ECE 3530/CS 3130 - Engineering Probability and Statistics
Electrical and Computer Engineering Department
Course Info
Lectures: MWF 9:40 AM - 10:30 AM in WEB L103
Instructor: Tolga Tasdizen
Email: tolga@sci.utah.edu
Office: WEB 3887
Office Hours: Mondays 10:30 AM - 12 PM and Tuesdays 11 AM -12 PM
and 2 PM -3 PM
TAs: Yu-Pin Hsu (u0789228@utah.edu) and Matt Hales
(matt.ee.hales@utah.edu)
Study sections: Wednesdays 3 - 5 pm WEB L114
Required Textbook: Probability & Statistics for Engineers and
Scientists,
8th Edition
Walpole, Myers, Myers and Ye
Prentice Hall, Upper Saddle
River, NJ 07458
ISBN: 0-13-187711-9
Prerequisite: MATH 1220 (Calculus II)
Detailed course information and syllabus (pdf)
Important Notices
PART I
(Posted 12/11) Read Chapter 1: This is introductory material, you
don't have to dwell on the details too much.
(Posted 12/11) Read Sections 2.1 through 2.5 in Chapter 2: We will be
covering this material in class during the first couple of weeks.
(Posted 1/17) Read the rest of Chapter 2
PART II
(Posted 2/6) Read Chapter 3.1-3.3 and Chapter 4.1 up to end of example
4.5 and Chapter 4.2 up to end of example 4.12
(Posted 2/13) Read Section 5.1-5.3 and 6.1-6.4
(Posted 2/19) Read Sections 6.6-6.9 and Section 3.4
(Posted 3/1) Read Sections 4.2-4.3
PART III
(Posted 3/22) Read Chapter 8 (except section 8.8) also read Section 4.4
(Posted 4/1) Read Chapter 9.1-9.4, 9.8, 9.12
(Posted 4/2) Read Chapter 10.1-10.7
(Posted 4/15) Read Chapter 11.1-11.5
Lecture Notes and Supplementary Material
PART I
(Posted 12/11) Slides on
applications of probability and statistics
(Posted 12/11) Notes on
introduction to probability and statistics x
(Posted 12/11) Notes on basic
probability
(Posted 12/11) Some more
examples for basic probability and Venn diagrams
(Posted 1/13) Anology to digital
logic
(Posted 1/13) One more example on
Venn diagrams and probability
(Posted 1/13) Notes on counting and
combinatorics
(Posted 1/13) More combinatorics
examples
(Posted 1/18) Conditional
probability
(Posted 1/19) Conditional
probability continued
(Posted 1/23) Spy
game, optional: detailed
analysis of spy game
(Posted 1/23) Bayes
Rule
(Posted 2/4) Monty Hall Matlab code
PART II
(Posted 2/6) Random variables
(Posted 2/6) Expectation
(Posted 2/6) Variance
(Posted 2/13) Binomial
distribution
(Posted 2/13) Normal
(Gaussian) distribution
(Posted 2/13) Some other
distributions
(Posted 2/19) Joint discrete
random variables
(Posted 2/19) Joint
continuous random variables
(Posted 3/1) Covariance of random
variables
(Posted 3/1) Linear
combinations of random variables
PART III
(Posted 3/22) Chebyshev's theorem
(Posted 3/22) Introduction
to statistics
(Posted 3/22) Central limit
theorem, sampling distributions
(Posted 4/2) Examples
using the different tables
(Posted 4/2) Confidence
intervals
(Posted 4/2) Hypothesis
testing
(Posted 4/2) Hypothesis
testing continued
(Posted 4/15) Linear
regression
(Posted 4/15) Inference
on linear regression parameters
(Posted 5/15) Linear essay attachment
Exams & Practice Exams
EXAM POLICY: Exams will be
closed book. You will be allowed 1 page of notes (front and back) but
it must be handwritten (no photocopying, shrinking, etc.). Calculators
can be used but no laptops allowed.
Midterm 1 practice exams:
Practice exam 1
and solution
Practice exam 2
and solution
Midterm 1 solutions
Midterm 2 practice exams:
Practice exam 1 and solution
Practice exam 2 and solution
Topics for Midterm 2:
All of Chapter 3, Sections 1-3 of Chapter 4,
Sections 1-3 of Chapter 5, Sections 1,2,3,4,6,7,9 of Chapter 6.
All class notes posted in Part II above excluding
-pages 13 and 14 of the
notes on "Joint continuous probability distributions" (multivariate
Gaussian)
Chapter 7 of leadership essay
Midterm 2 solutions
Final practice exams
Practice exam 1 and solution
Practice exam 2 and solution
Topics for the final: Section 4.4, Chapter 8 (except section 8.8),
Chapter 9.1-9.4, 9.8, 9.12, Chapter 10.1-10.7, Chapter 11.1-11.5. All
class notes unless otherwise noted above.
Note the final is not comprehensive, it focuses on the topics since the
last midterm. However, you might need certain information from previous
topics. So you are allowed to bring the cheat sheets for midterms 1
& 2 as well as a new sheet for the final.
Reflective essay for final focuses
in certain information
Final exam solutions
Homeworks and Solutions
Assignment 1 due January 18 - solutions
Assignment 2 paper topics
Assignment 2 due January
25 - solutions
Assignment
3
due February 1 - solutions
Assignment 4 due February 22 - solutions
Assignment 5 due March 1 - solutions
Assignment 6 due
March 8 - solutions
Assignment 7 due April 5 Q1data.mat
... solutions
Assignment 8 due April 12 - solutions
May 13 -
argumentative essay topics
Assignment 9 due April 22 - solutions