ENCE 402 Schedule and Homework, Dr. Steven A. Gabriel, University of Maryland

ENME 465

Approximate Schedule and Homeworks

All homeworks assigned on Wednesday, due the following Wednesday at the start of the next class

All quizzes given out the last 15 minutes of the designated Wednesday class

(NO LATE HOMEWORKS UNLESS ACCOMPANIED WITH A MEDICAL OR OTHER OFFICIAL LETTER)

Weeks	Dates	Topics	Homeworks
1	Jan. 27, 29	-Introduction, Motivation for Simulation [Ross: Chapter 1 ] -Pattanun Chanpiwat Matlab Overview [Read "Getting Started" in Matlab. Sections to read:Introduction Matrices and Arrays, Graphics] Loading up R	HW#1
2	Feb. 3,5	-Probability Review [Ross: Chapter 2 (2.1-2.6 (skim 2.6))] -Bernoulli & Binomial Distributions [Ross: Chapter 2 (2.8, pp. 18-19)]	HW#2
3	Feb. 10, 12	-Uniform, Triangular Distributions [Ross: Chapter 2 (2.9, p.23) -Pseudorandom Number Generation [Ross: Chapter 3]	HW#3 quiz #1, Feb. 10 (last 15 min of lecture)
4	Feb. 17, 19	-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 quiz #2, Feb. 19 (last 15 min of lecture)
5	Feb. 24, 26	Feb. 24, Generating Random Variables [Ross: Chapters 4 and 5] Feb. 26, EXAM #1,*	HW#5 *EXAM #1,Feb. 26* in class, open book, open notes, but no internet/communications capability. Automatic zero is using the internet or communicating with others during the exam.
6	Mar 2, 4	- Mar. 2 Generating Random Variables [Ross: Chapters 4 and 5] -Mar. 4 Generating Random Variables [Ross: Chapters 4 and 5]
7	Mar. 9, 11	-Mar. 11 Generating Random Variables [Ross: Chapters 4 and 5] -Mar. 13 goodness of fit and other statistics [Ross:Chapter 2 (2.9, pp. 24- 26)] -Normal distribution & Central Limit Theorem Sample vs. Population Statistics [Ross: Chapter 9 (9.1, 9.2)]	HW#6
8	Mar. 16, 18 =================== Mar. 16, 18, (Spring Break- no class) ===================	=================== - Mar. 16, 18 Spring Break- no class ===================
9	Mar. 23, 25	MARCH 23- Guest lectures by Pattanun Chanpiwat on the programming language R, goodness of fit and other statistics [Ross:Chapter 2 (2.9, pp. 24- 26)] MARCH 25- Guest lecture by Pattanun Chanpiwat on the programming language R, goodness of fit and other statistics
10	Mar. 30, Apr. 1	Mar. 30, Review for exam #2 April 1, EXAM #2	quiz #3, March 30 (last 15 min of lecture) *April 1, Exam #2* in class, open book, open notes, but no internet/communications capability. Automatic zero is using the internet or communicating with others during the exam.
11	Apr. 6, 8	-Apr. 6, 8 -Background on wind power and the Weibull distribution for wind speeds and wind energy -Discussion of Case Study 1 (wind power planning)	Case Study 1 assigned Homework is to work on Case Study
12	Apr. 13, 15	--April 13, The Poisson distribution, Bayes Theorem, Poisson processes -Apr. 15, Variance Reduction Techniques [Ross: Chapter 11]	Case Study 1 due (Apr. 20)
13	Apr. 20, 22	-April 20 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. 22, Finish up variance reduction	Homework is to prepare Case Study 1 presentation and report
14	Apr. 27, 29	-April 27 Case Study 2 Overview -April 29 * Exam #3 *	Case Study 2 assigned, April 22 Case Study 2 due (May 11) Homework is to work on Case Study 2 *EXAM #3, Apri 29* in class, open book, open notes, but no internet/communications capability. Automatic zero is using the internet or communicating with others during the exam. Homework is to work on case study 2
15	May 4, 6	-May 4 - Discrete Event Simulation, Queueing Example [Ross: Chapter 8], Other topics TBD -May 6 CASE STUDY 2 questions/open class Other topics TBD	quiz #4, May 4, (last 15 min of lecture)
16	May 11, (Last Day of Class)	May 11, 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)
		Final exam, per the registrar's schedule	in class, open book, open notes, but no internet/communications capability. Automatic zero is using the internet or communicating with others during the exam.

Class Text
Simulation by Sheldon Ross (Fourth Edition)

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