ISYE 6644 Simulation — Complete Q&A Package (Georgia Tech)
500 Exam-Style Questions with Verified Answers & Detailed Rationales (Weeks 1–5 + Bonus
Assignments)
TABLE OF CONTENTS
| Section | Module | Topic | Questions |
|---------|--------|-------|-----------|
| I | Week 1 | Introduction to Simulation & Modeling Paradigms | 80 |
| II | Week 2 | Probability & Statistics Bootcamp | 80 |
| III | Week 3 | Hand Simulation & Monte Carlo Methods | 80 |
| IV | Week 4 | Discrete-Event Simulation Principles | 80 |
| V | Week 5 | Random Number & Variate Generation | 80 |
| VI | Bonus | Arena, Output Analysis & Advanced Topics | 100 |
| | | Total | 500 |
---
EXAM OVERVIEW
Course: ISYE 6644 — Simulation and Modeling for Engineering and Science
Institution: Georgia Institute of Technology (OMSCS/OMSA/On-Campus)
Instructor: Dr. David Goldsman / Dr. Christos Alexopoulos
Credit Hours: 3
Course Description: Covers modeling of discrete-event dynamic systems and introduces
simulation-based methods for using these models to solve engineering design and analysis
problems.
,Texts: Law, A. M., Simulation Modeling and Analysis, 6th edition, McGraw-Hill, 2024; Kelton,
Sadowski & Zupick, Simulation with Arena.
Grading: Homework 10%–25%, Project 10%, Midterm Exam 1 (25–35%), Midterm Exam 2
(25–35%), Final Exam (30–40%).
Exam Format: Multiple-choice and True/False questions. Each test is cumulative and allows
cheat sheets.
Core Domains Covered: Simulation fundamentals; probability and statistics for simulation;
Monte Carlo methods; discrete-event simulation; random number and variate generation;
input modeling; output analysis; variance reduction; Arena modeling.
Reference Materials: ISYE 6644 Syllabus (Fall 2026); Course Syllabus OMSA-6644 (Spring
2026); ISYE 6644 Self-Assessment Questions; Exam 1 Solutions (Stuvia); Midterm Test 1-
2026; Final Exam Summer 2026; and course lecture modules.
---
SECTION I: WEEK 1 — INTRODUCTION TO SIMULATION & MODELING PARADIGMS (80
Questions)
Module 1: Simulation Fundamentals (Q1–Q40)
Q1. TRUE or FALSE? Simulation can be used to study detailed relations that might be lost in
analytical or numerical treatment.
A. True
B. False
Correct Answer: A
,Rationale: One of the key advantages of simulation is its ability to study detailed relations
that might be lost in analytical or numerical treatment. Simulation models capture complex
interactions that closed-form solutions cannot.
Why Wrong: B — This is a well-established advantage of simulation.
---
Q2. We are interested in modeling the arrival and service process at the local McBurger
Queen burger joint. Customers come in every once in a while, stand in line, eventually get
served, and off they go. Generally speaking, what kind of model are we talking about here?
A. Discrete
B. Continuous
C. Stochastic
D. Deterministic
Correct Answer: A, C
Rationale: This is a discrete model because events (arrivals, service completions) happen at
specific points in time rather than continuously. It is stochastic because customer arrival
times, service times, and shift changes are all random.
Why Wrong: B — Events do not happen continuously. D — The model involves randomness,
so it is not deterministic.
---
Q3. TRUE or FALSE? A deterministic model has no random input components.
A. True
B. False
, Correct Answer: A
Rationale: A deterministic model produces the same output for a given set of inputs every
time, with no randomness involved.
Why Wrong: B — This is the defining characteristic of a deterministic model.
---
Q4. Which of the following is a DISADVANTAGE of simulation?
A. Can study models too complicated for analytical treatment
B. Sometimes very time consuming and costly
C. Can reduce design blunders
D. Really nice demo method
Correct Answer: B
Rationale: Simulation disadvantages include: sometimes not easy, sometimes very time
consuming/costly, gives "random" output (with possible misinterpretation), and better
methods may exist for certain problems.
Why Wrong: A, C, D — These are advantages of simulation.
---
Q5. Which of the following is an ADVANTAGE of simulation?
A. Sometimes not so easy
B. Simulations give "random" output
C. Can study models too complicated for analytical/numerical treatment
D. Better methods than simulation may exist
500 Exam-Style Questions with Verified Answers & Detailed Rationales (Weeks 1–5 + Bonus
Assignments)
TABLE OF CONTENTS
| Section | Module | Topic | Questions |
|---------|--------|-------|-----------|
| I | Week 1 | Introduction to Simulation & Modeling Paradigms | 80 |
| II | Week 2 | Probability & Statistics Bootcamp | 80 |
| III | Week 3 | Hand Simulation & Monte Carlo Methods | 80 |
| IV | Week 4 | Discrete-Event Simulation Principles | 80 |
| V | Week 5 | Random Number & Variate Generation | 80 |
| VI | Bonus | Arena, Output Analysis & Advanced Topics | 100 |
| | | Total | 500 |
---
EXAM OVERVIEW
Course: ISYE 6644 — Simulation and Modeling for Engineering and Science
Institution: Georgia Institute of Technology (OMSCS/OMSA/On-Campus)
Instructor: Dr. David Goldsman / Dr. Christos Alexopoulos
Credit Hours: 3
Course Description: Covers modeling of discrete-event dynamic systems and introduces
simulation-based methods for using these models to solve engineering design and analysis
problems.
,Texts: Law, A. M., Simulation Modeling and Analysis, 6th edition, McGraw-Hill, 2024; Kelton,
Sadowski & Zupick, Simulation with Arena.
Grading: Homework 10%–25%, Project 10%, Midterm Exam 1 (25–35%), Midterm Exam 2
(25–35%), Final Exam (30–40%).
Exam Format: Multiple-choice and True/False questions. Each test is cumulative and allows
cheat sheets.
Core Domains Covered: Simulation fundamentals; probability and statistics for simulation;
Monte Carlo methods; discrete-event simulation; random number and variate generation;
input modeling; output analysis; variance reduction; Arena modeling.
Reference Materials: ISYE 6644 Syllabus (Fall 2026); Course Syllabus OMSA-6644 (Spring
2026); ISYE 6644 Self-Assessment Questions; Exam 1 Solutions (Stuvia); Midterm Test 1-
2026; Final Exam Summer 2026; and course lecture modules.
---
SECTION I: WEEK 1 — INTRODUCTION TO SIMULATION & MODELING PARADIGMS (80
Questions)
Module 1: Simulation Fundamentals (Q1–Q40)
Q1. TRUE or FALSE? Simulation can be used to study detailed relations that might be lost in
analytical or numerical treatment.
A. True
B. False
Correct Answer: A
,Rationale: One of the key advantages of simulation is its ability to study detailed relations
that might be lost in analytical or numerical treatment. Simulation models capture complex
interactions that closed-form solutions cannot.
Why Wrong: B — This is a well-established advantage of simulation.
---
Q2. We are interested in modeling the arrival and service process at the local McBurger
Queen burger joint. Customers come in every once in a while, stand in line, eventually get
served, and off they go. Generally speaking, what kind of model are we talking about here?
A. Discrete
B. Continuous
C. Stochastic
D. Deterministic
Correct Answer: A, C
Rationale: This is a discrete model because events (arrivals, service completions) happen at
specific points in time rather than continuously. It is stochastic because customer arrival
times, service times, and shift changes are all random.
Why Wrong: B — Events do not happen continuously. D — The model involves randomness,
so it is not deterministic.
---
Q3. TRUE or FALSE? A deterministic model has no random input components.
A. True
B. False
, Correct Answer: A
Rationale: A deterministic model produces the same output for a given set of inputs every
time, with no randomness involved.
Why Wrong: B — This is the defining characteristic of a deterministic model.
---
Q4. Which of the following is a DISADVANTAGE of simulation?
A. Can study models too complicated for analytical treatment
B. Sometimes very time consuming and costly
C. Can reduce design blunders
D. Really nice demo method
Correct Answer: B
Rationale: Simulation disadvantages include: sometimes not easy, sometimes very time
consuming/costly, gives "random" output (with possible misinterpretation), and better
methods may exist for certain problems.
Why Wrong: A, C, D — These are advantages of simulation.
---
Q5. Which of the following is an ADVANTAGE of simulation?
A. Sometimes not so easy
B. Simulations give "random" output
C. Can study models too complicated for analytical/numerical treatment
D. Better methods than simulation may exist
