CSci 4210/6210
Simulation and Modeling

Textbook

Introduction to Computational Data Science,
Miller, 2021

Additional Reference

Discrete-Event System Simulation: 5/e,
Banks, Carson, Nelson and Nicol, 2010

Class Time

Day	Time	Room
Tuesday	11:10 - 12:25	Miller Plant Science, room 1102
Wednesday	11:30 - 12::20	Davison Life Sciences Complex, C120
Thursday	11:10 - 12:25	Miller Plant Science, 1102

TA

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Course Description/Objectives

In this course, we will study complex dynamic systems, examining their performance, reliability, etc. The reason for doing this is to improve such systems either in the design phase (before a costly system is built) or the operation phase (tune or upgrade). A simulation model may be used for such studies. It is an approximation of the complex system that captures its essential properties and often mimics the behavior of the actual system. Behavior is studied by carrying out multiple runs of the simulation model to produce statistical outputs of properties such as system response time or throughput. Further insight into system behavior can be gained by animating the model. The course will involve a major project to create a simulation model of a system chosen by the project group (2 students). The model will be created using ScalaTion, version 2.0.

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Course Topics

Computer Simulation
• Introduction to Modeling: Types of Models
• Hand/Spreadsheet Simulation: Spreadsheet Simulation
• Game Programming: Simulation Game
• Computer Animation
  • Graphical User Interfaces (GUI): Swing, JavaFx
  • Two-Dimensional Graphics: Java 2D
  • Three-Dimensional Graphics: LWJGL, JavaFx 3D, JOGL
  • 3D Game Engines: jMonkey Engine (jME)
• Simulation Engines
  • Simulation Languages: Simulation Languages
  • Multi-Threaded Programming: Threads, Actors
  • Representation of State: Dynamical System
  • Time Advance Mechanisms
  • Modeling Paradigms/World Views
    • Continuous Simulation
    • Event Oriented, e.g., Event Scheduling
    • Process Oriented, e.g., Process Interaction
    • Activity Oriented, e.g., Petri Nets: Petri Nets
    • State Oriented, e.g., Markov Process
• Stochastic Processes
  • Probability: Probability Theory
  • Statistics: Statistics
  • Markov Models: Markov Chain
  • Random Number Generators: RNG
  • Random Variate Generators: Random Variate
  • Output Analysis Simulation Output Analysis

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Grading

20%	Exam I	see below	10/14/21
20%	Exam II	see below	11/18/21
25%	Final	Comprehensive	12/9/21
5%	Homework and Tool Talk	See below	.
30%	Projects	See below	.

** Exam I:

Date: Thursday, October 14, 2021

on eLC: start: 10/14/2021 at 11:10 am; end: 10/15/2021 at 11:09 am

Review Date: Tuesday, October 12, 2021

• Q1: Ch. 2, 3: Mathematical Preliminaries: Linear Algebra, Probability
  • (a) CDF, pmf, pdf, expectation
  • (b) Confidence Intervals
• Q2: Ch. 14: Random Number and Random Variate Generation (14.1 - 14.5)
• Q3: Ch. 14: Monte Carlo Simulation (14.6)
• Q4: Ch. 14: Hand, Spreadsheet, and Tableau Simulation (14.7 - 14.8)
  • (a) Simulation Table from Spreadsheet
  • (b) Summary of Results
• Q5: Ch. 16: Event-Scheduling Models (16.1 - 16.3)
  • (a) Event Graph
  • (b) Subclasses of Event, including their occur methods (requires ScalaTion)
  • (c) Summary of Results (requires ScalaTion)

** Exam II:

Date: Thursday, November 18, 2021 - Do your own work and Show Work

on eLC: start: 11/18/2021 at 11:10 am; end: 11/19/2021 at 11:09 am

zoom meeting starting at 11:00 am on 11/18/2021 - read entire exam and ask questions

Review Date: Tuesday, November 16, 2021

• Q1: Ch. 17: Process-Interaction Simulation (17.1 - 17.3)
• Q2: Ch. 17: Agent-Based Simulation (17.4)
• Q3: Ch. 17: Animation (17.5)
• Q4: Ch. 15: State-Space Models and Markov Chains (15.1 - 15.2)
• Q5: SEIR Models

** Final Exam: - Do your own work and Show Work

Date: "UGA scheduled exam time: Thur., Dec. 9 12:00 - 3:00 pm"

Actual exam on eLC starts Thur., Dec. 9 12:00 noon and ends Fri., Dec. 10 11:59 am

Zoom Meeting starts Thur., Dec. 9 11:50 am

• Q1: Ch. 14: Monte Carlo Simulation - Section 14.6.5: Exercise 7
• Q2: Ch. 15: Markov Chains - Section 15.2.7: Exercise 15
• Q3: Ch. 16: Event Graphs - Section 16.5: Exercise 13
• Q4: Ch. 17: Process Interaction - Section 17.3.20: Exercise 12
• Q5: Ch. 18: Simulation Output Analysis - Section 18.6: Exercise 7

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Individual Homework (Thursdays)


Each student presents one homework assignment.

number	section(s): exercises in textbook	date
HW1	section 3.13: 4, 10	Sep. 2
HW2	section 14.3.2: 1, 2	Sep. 9
HW3	sections 14.4.3: 1; 14.5.3: 2	Sep. 16
HW4	section 14.6.4: 1, 3	Sep. 23
HW5	sections 14.7.1: 1, 3; 14.8.2: 2; 16.5: 6 (skipped 2)	Oct. 7
HW6	section 17.3.18: 3, 5, 7	Oct. 21
HW7	section 17.4.7: 1, 2	Oct 28
HW8	section 17.5.3: 1	Nov 11
HW9	section 15.2.5: 6, 7	TBD
HW10	section 18.6: 1, 2, 3	TBD

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Group Tool Talks (Tuesdays)


Each group presents one tool talk.

number	links	date
TT1	Scala 3, Scala 3 API	Sep 7
TT2	Arena Simulation Software	Sep 14
TT3	AnyLogic	Sep 28
TT4	Threads vs. VirtualThreads, Project Loom	Oct 5
TT5	LWJGL vs. LibGDX	Oct 13
TT6	JavaFx (JavaFx 17)	TBD
TT7	Repast	TBD
TT8	PTV Vissim	TBD
TT9	Group's Choice	TBD

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Programming Projects

PP1	Blackjack Card Game	Project 1	Sep 22
PP2	Event-Scheduling Simulation	Project 2	Oct 12
PP3	Process-Interaction Simulation (Exercises #4, #6, #8)	Project 3	Nov 12
PP4	Term Project (Abstract before Project 3)	Project 5	.

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Policies

• Late Policy - 10 points off per day late

• Make-Up Tests - requires (i) written pre-approval for travel/time conflicts or (ii) written explanation for illness

• The course syllabus is a general plan for the course; deviations announced to the class by the instructor may be necessary.

• As a University of Georgia student, you have agreed to abide by the University's academic honesty policy, "A Culture of Honesty," and the Student Honor Code. All academic work must meet the standards described in "A Culture of Honesty" found at: www.uga.edu/honesty . Lack of knowledge of the academic honesty policy is not a reasonable explanation for a violation. Questions related to course assignments and the academic honesty policy should be directed to the instructor

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CORONAVIRUS INFORMATION FOR STUDENTS FOR FALL 2021 CLASSES

Face coverings: Following guidance from the University System of Georgia, face coverings are recommended for all individuals while inside campus facilities.

How can I obtain the COVID-19 vaccine? University Health Center is scheduling appointments for students through the UHC Patient Portal (https://patientportal.uhs.uga.edu/login_dualauthentication.aspx). Learn more here – https://www.uhs.uga.edu/healthtopics/covid-vaccine.

The Georgia Department of Health, pharmacy chains and local providers also offer the COVID-19 vaccine at no cost to you. To find a COVID-19 vaccination location near you, please go to: https://georgia.gov/covid-vaccine. In addition, the University System of Georgia has made COVID-19 vaccines available at 15 campuses statewide and you can locate one here: https://www.usg.edu/vaccination

What do I do if I have COVID-19 symptoms? Students showing COVID-19 symptoms should self-isolate and schedule an appointment with the University Health Center by calling 706-542-1162 (Monday-Friday, 8 a.m.-5p.m.). Please DO NOT walk-in. For emergencies and after-hours care, see, https://www.uhs.uga.edu/info/emergencies.

What do I do if I test positive for COVID-19? If you test positive for COVID-19 at any time, you are required to report it through the DawgCheck Test Reporting Survey. We encourage you to stay at home if you become ill or until you have excluded COVID-19 as the cause of your symptoms. UGA adheres to current Georgia Department of Public Health (DPH) quarantine and isolation guidance and requires that it be followed. Follow the instructions provided to you when you report your positive test result in DawgCheck.

Guidelines for COVID-19 Quarantine Period (As of 8/1/21; follow DawgCheck or see DPH website for most up-to-date recommendations) Students who are fully vaccinated do not need to quarantine upon exposure unless they have symptoms of COVID-19 themselves. All others should follow the Georgia Department of Public Health (DPH) recommendations:

Students who are not fully vaccinated and have been directly exposed to COVID-19 but are not showing symptoms should self-quarantine for 10 days. Those quarantining for 10 days must have been symptom-free throughout the monitoring period and continue self-monitoring for COVID-19 symptoms for a total of 14 days. You should report the need to quarantine on DawgCheck (https://dawgcheck.uga.edu/), and communicate directly with your faculty to coordinate your coursework while in quarantine. If you need additional help, reach out to Student Care and Outreach (sco@uga.edu) for assistance.

Students, faculty and staff who have been in close contact with someone who has COVID-19 are no longer required to quarantine if they have been fully vaccinated against the disease and show no symptoms.

Well-being, Mental Health, and Student Support: If you or someone you know needs assistance, you are encouraged to contact Student Care & Outreach in the Division of Student Affairs at 706-542-7774 or visit https://sco.uga.edu/. They will help you navigate any difficult circumstances you may be facing by connecting you with the appropriate resources or services.

UGA has several resources to support your well-being and mental health: https://well-being.uga.edu/

Counseling and Psychiatric Services (CAPS) is your go-to, on-campus resource for emotional, social and behavioral-health support: https://caps.uga.edu/, TAO Online Support (https://caps.uga.edu/tao/), 24/7 support at 706-542-2273. For crisis support: https://healthcenter.uga.edu/emergencies/.

The University Health Center offers FREE workshops, classes, mentoring and health coaching led by licensed clinicians or health educators: https://healthcenter.uga.edu/bewelluga/

Monitoring conditions: Note that the guidance referenced in this syllabus is subject to change based on recommendations from the Georgia Department of Public Health, the University System of Georgia, or the Governor’s Office or. For the latest on UGA policy, you can visit coronavirus.uga.edu.