-Introduction, Motivation for Simulation
[Ross: Chapter 1 ]
-Matlab Overview
[Read "Getting Started" in Matlab.  Sections to read:Introduction
Matrices and Arrays, Graphics]

-Probability Review
[Ross: Chapter 2 (2.1-2.6 (skim 2.6))]
-Bernoulli & Binomial Distributions
[Ross: Chapter 2 (2.8, pp. 18-19)]

-Uniform, Triangular Distributions [Ross: Chapter 2 (2.9, p.23)
-Pseudorandom Number Generation
[Ross: Chapter 3]

-Exponential, and Geometric Distributions [Ross: Chapter 2 (2.8, pp. 21-22, 2.9, pp. 26-28)]

-Normal distribution (brief overview, more details later), Lognormal distribution

HW#4 given out Feb. 16
HW#4 due Feb. 23
quiz #2, Feb. 21 (last 15 min of lecture)

-Feb. 23
Generating Random Variables [Ross: Chapters 4 and 5]

-Feb. 28
Generating Random Variables [Ross: Chapters 4 and 5]

- Mar. 2
Generating Random Variables [Ross: Chapters 4 and 5] - Mar. 2
-Mar 7
Review for exam 1 (in-class review) + Guest lectures, TBD
-questions on these lectures will appear on quizzes and/or exams

HW#6 given out Mar. 2
HW#6 due Mar. 9
quiz #3,  March 7 (last 15 min of lecture)

-Mar. 9, exam #1 (in class)

-Mar.14
Normal Distribution, Central Limit Theorem
[Ross:Chapter 2 (2.9, pp. 24- 26)]

-Mar. 16
Specialized Approaches for Generating Normal Random Variables

- Mar. 21 Spring Break- no class

-Mar. 23 Spring Break- no class

-Mar. 28
Sample vs. Population Statistics
[Ross: Chapter 9 (9.1, 9.2)]
-Disk Drive Example

HW#7 given out Mar. 23
HW#7 due Mar. 30

-Mar. 30, Apr. 4
Background on wind power and the Weibull distribution for wind speeds and wind energy

-Discussion of Case Study  1 (wind power planning)

HW#8 Cancelled, work on Case Study 1 instead

Case Study 1 assigned March 30, due April 13

-Apr. 6 The Poisson Distribution, Bayes Theorem

-Apr. 11 Goodness of Fit
Guest Lecture, Dr. Michael Siemann, Earth Networks/Whisker Labs

Homework is to work on case study 1

quiz #4,  April 11, (last 15 min of lecture)

-Apr. 13, CASE STUDY 1
5 minute PowerPoint presentations by students this is part of the Case Study grade + case study reports due (same for all Case Studies)

-Apr. 18, Case Study 2 Overview, Variance Reduction Techniques [Ross: Chapter 11]

Case Study 1 due (Apr. 13)

Homework is to review for exam #2

Case Study 2 assigned, April 18
Case Study 2 due (May 4)

-April 20 Variance Reduction Techniques [Ross: Chapter 11], Andy Blohm presentation of R vs. Matlab

-Apr. 25 Finish up variance reduction, Discrete Event Simulation, Queueing Example [Ross: Chapter 8], Review for exam #2, (in class), help with Case Study 2 questions

Homework is to work on Case Study 2

-Apr. 27 exam #2

-May 2, work on case study (in class questions as needed)

exam #2, April 27 (full class time)

Homework is to work on case study 2

-May 4, CASE STUDY 2
5 minute PowerPoint presentations by students this is part of the Case Study grade + case study reports due (same for all Case Studies)

-May 9- review questions for final exam

Homework is to study for final exam

-May 11, Cumulative Final Exam,(in-class, no computers, no phones, no other electronic devices, except for calculators (with no internet/communications capability), closed book, closed notes, one 8.5 by 11 inch "review sheet" (back and front) allowed