ISYE-6644
ISYE-6644 Simulation and Modeling — Comprehensive
Final Examination 200-Question Mastery Assessment
Covering Discrete-Event Simulation, Random Variate
Generation, Statistical Output Analysis, Queueing Theory,
Variance Reduction Techniques, and Experimental Design
for Georgia Institute of Technology Fall 2026-27
═════════════════════════════════════════════════════════
══════════════════════
COURSE: ISYE-6644 — Simulation and Modeling
EXAM: Exam 1 (Latest Fall 2026-27)
INSTITUTION: Georgia Institute of Technology
QUESTIONS: 200
FORMAT: Multiple-Choice | Select-All-That-Apply | True/False |
Case Studies | Scenario-Based
TOPICS: Discrete-Event Simulation · Random Variate Generation ·
Statistical Output Analysis · Queueing Theory ·
Variance Reduction · Experimental Design
═════════════════════════════════════════════════════════
══════════════════════
┌─────────────────────────────────────────────────────────────────────────────┐
│ INSTRUCTIONS
│
│ 1. Read each question carefully before selecting your answer.
│ 2. Each question has exactly one correct answer unless stated otherwise.
│ 3. Color coding:
│ BLUE = Question
│ RED = Answer
│ PURPLE = Rationale
│ 4. Do not skip any question — answer and rationale are provided for all.
│ 5. Total: 200 questions.
└─────────────────────────────────────────────────────────────────────────────┘
Page 1 of 63
, ISYE-6644
╔════════════════════════════════════════════════════════
═════════════════════╗
║ SECTION 1 — SIMULATION FUNDAMENTALS (Questions 1–25) ║
║ SECTION 2 — RANDOM NUMBER GENERATION (Questions 26–50) ║
║ SECTION 3 — RANDOM VARIATE GENERATION (Questions 51–75) ║
║ SECTION 4 — STATISTICAL OUTPUT ANALYSIS (Questions 76–100) ║
║ SECTION 5 — QUEUEING THEORY & PERFORMANCE (Questions 101–125) ║
║ SECTION 6 — VARIANCE REDUCTION TECHNIQUES (Questions 126–150) ║
║ SECTION 7 — EXPERIMENTAL DESIGN & OPTIMIZATION (Questions 151–175) ║
║ SECTION 8 — ADVANCED TOPICS & CASE STUDIES (Questions 176–200) ║
╚════════════════════════════════════════════════════════
═════════════════════╝
Page 2 of 63
, ISYE-6644
ISYE-6644 Exam 1: Simulation and Modeling
Georgia Institute of Technology | Fall 2026-27
QUESTION 1:
Which of the following best defines a simulation model?
A. A mathematical model that always produces exact solutions
B. A computational model that imitates the behavior of a real-world system over time
C. A statistical technique used only for predicting stock market trends
D. A graphical representation of data without computational elements
ANSWER: B. A computational model that imitates the behavior of a real-world system over time
RATIONALE: Simulation modeling is the process of creating and experimenting with a computer
model that mimics the behavior of a real-world system. Option A is incorrect because simulation
models rarely produce exact solutions due to their stochastic nature. Option C is too narrow as
simulation applies to many fields beyond finance. Option D describes data visualization, not
simulation.
QUESTION 2:
What is the primary purpose of a simulation study?
A. To find the exact mathematical solution to a problem
B. To gain insights into system behavior and evaluate alternative designs
C. To replace all real-world experiments
D. To simplify complex systems by ignoring randomness
ANSWER: B. To gain insights into system behavior and evaluate alternative designs
RATIONALE: Simulation studies help analysts understand complex system behavior, test "what-
if" scenarios, and evaluate alternatives without disrupting actual operations. Option A is incorrect
because simulation rarely provides exact solutions. Option C overstates simulation's capabilities.
Option D contradicts simulation's purpose of capturing randomness.
QUESTION 3:
Which of the following is NOT a characteristic of discrete-event simulation?
A. Events occur at discrete points in time
B. The state of the system changes only at event times
C. Time advances continuously regardless of events
D. Entities compete for limited resources
ANSWER: C. Time advances continuously regardless of events
Page 3 of 63
, ISYE-6644
RATIONALE: In discrete-event simulation, time advances to the next scheduled event, not
continuously. Option A describes how events happen at specific points. Option B correctly states
that system state changes only at event times. Option D is a characteristic of many discrete-event
simulations with resource constraints.
QUESTION 4:
What distinguishes continuous simulation from discrete-event simulation?
A. Continuous simulation uses fixed time steps; discrete-event uses variable steps
B. Continuous simulation models time as flowing continuously while discrete-event models time as
advancing between events
C. Continuous simulation is always deterministic while discrete-event is always stochastic
D. Continuous simulation can only model physical systems
ANSWER: B. Continuous simulation models time as flowing continuously while discrete-event
models time as advancing between events
RATIONALE: In continuous simulation, time flows in small increments and state variables change
continuously. In discrete-event simulation, time jumps from event to event. Option A is partially true
but not the fundamental distinction. Option C is false as both can be deterministic or stochastic.
Option D is incorrect as continuous simulation applies to many system types.
QUESTION 5:
Which of the following is a valid reason to use simulation over analytical methods?
A. Simulation always provides more accurate answers
B. Analytical methods cannot handle complex stochastic systems
C. Simulation requires no mathematical knowledge
D. Analytical methods are always slower
ANSWER: B. Analytical methods cannot handle complex stochastic systems
RATIONALE: Simulation is often preferred when systems are too complex for analytical solutions
due to randomness, interdependencies, or nonlinearity. Option A is false because simulation
provides estimates, not exact answers. Option C is incorrect as simulation requires significant
mathematical understanding. Option D is generally false as analytical methods are often faster.
QUESTION 6:
What is a pseudo-random number generator (PRNG)?
A. A device that generates truly random numbers from physical processes
B. An algorithm that produces deterministic sequences appearing random
C. A method for generating numbers without any mathematical formula
D. A hardware component in all computers
Page 4 of 63
ISYE-6644 Simulation and Modeling — Comprehensive
Final Examination 200-Question Mastery Assessment
Covering Discrete-Event Simulation, Random Variate
Generation, Statistical Output Analysis, Queueing Theory,
Variance Reduction Techniques, and Experimental Design
for Georgia Institute of Technology Fall 2026-27
═════════════════════════════════════════════════════════
══════════════════════
COURSE: ISYE-6644 — Simulation and Modeling
EXAM: Exam 1 (Latest Fall 2026-27)
INSTITUTION: Georgia Institute of Technology
QUESTIONS: 200
FORMAT: Multiple-Choice | Select-All-That-Apply | True/False |
Case Studies | Scenario-Based
TOPICS: Discrete-Event Simulation · Random Variate Generation ·
Statistical Output Analysis · Queueing Theory ·
Variance Reduction · Experimental Design
═════════════════════════════════════════════════════════
══════════════════════
┌─────────────────────────────────────────────────────────────────────────────┐
│ INSTRUCTIONS
│
│ 1. Read each question carefully before selecting your answer.
│ 2. Each question has exactly one correct answer unless stated otherwise.
│ 3. Color coding:
│ BLUE = Question
│ RED = Answer
│ PURPLE = Rationale
│ 4. Do not skip any question — answer and rationale are provided for all.
│ 5. Total: 200 questions.
└─────────────────────────────────────────────────────────────────────────────┘
Page 1 of 63
, ISYE-6644
╔════════════════════════════════════════════════════════
═════════════════════╗
║ SECTION 1 — SIMULATION FUNDAMENTALS (Questions 1–25) ║
║ SECTION 2 — RANDOM NUMBER GENERATION (Questions 26–50) ║
║ SECTION 3 — RANDOM VARIATE GENERATION (Questions 51–75) ║
║ SECTION 4 — STATISTICAL OUTPUT ANALYSIS (Questions 76–100) ║
║ SECTION 5 — QUEUEING THEORY & PERFORMANCE (Questions 101–125) ║
║ SECTION 6 — VARIANCE REDUCTION TECHNIQUES (Questions 126–150) ║
║ SECTION 7 — EXPERIMENTAL DESIGN & OPTIMIZATION (Questions 151–175) ║
║ SECTION 8 — ADVANCED TOPICS & CASE STUDIES (Questions 176–200) ║
╚════════════════════════════════════════════════════════
═════════════════════╝
Page 2 of 63
, ISYE-6644
ISYE-6644 Exam 1: Simulation and Modeling
Georgia Institute of Technology | Fall 2026-27
QUESTION 1:
Which of the following best defines a simulation model?
A. A mathematical model that always produces exact solutions
B. A computational model that imitates the behavior of a real-world system over time
C. A statistical technique used only for predicting stock market trends
D. A graphical representation of data without computational elements
ANSWER: B. A computational model that imitates the behavior of a real-world system over time
RATIONALE: Simulation modeling is the process of creating and experimenting with a computer
model that mimics the behavior of a real-world system. Option A is incorrect because simulation
models rarely produce exact solutions due to their stochastic nature. Option C is too narrow as
simulation applies to many fields beyond finance. Option D describes data visualization, not
simulation.
QUESTION 2:
What is the primary purpose of a simulation study?
A. To find the exact mathematical solution to a problem
B. To gain insights into system behavior and evaluate alternative designs
C. To replace all real-world experiments
D. To simplify complex systems by ignoring randomness
ANSWER: B. To gain insights into system behavior and evaluate alternative designs
RATIONALE: Simulation studies help analysts understand complex system behavior, test "what-
if" scenarios, and evaluate alternatives without disrupting actual operations. Option A is incorrect
because simulation rarely provides exact solutions. Option C overstates simulation's capabilities.
Option D contradicts simulation's purpose of capturing randomness.
QUESTION 3:
Which of the following is NOT a characteristic of discrete-event simulation?
A. Events occur at discrete points in time
B. The state of the system changes only at event times
C. Time advances continuously regardless of events
D. Entities compete for limited resources
ANSWER: C. Time advances continuously regardless of events
Page 3 of 63
, ISYE-6644
RATIONALE: In discrete-event simulation, time advances to the next scheduled event, not
continuously. Option A describes how events happen at specific points. Option B correctly states
that system state changes only at event times. Option D is a characteristic of many discrete-event
simulations with resource constraints.
QUESTION 4:
What distinguishes continuous simulation from discrete-event simulation?
A. Continuous simulation uses fixed time steps; discrete-event uses variable steps
B. Continuous simulation models time as flowing continuously while discrete-event models time as
advancing between events
C. Continuous simulation is always deterministic while discrete-event is always stochastic
D. Continuous simulation can only model physical systems
ANSWER: B. Continuous simulation models time as flowing continuously while discrete-event
models time as advancing between events
RATIONALE: In continuous simulation, time flows in small increments and state variables change
continuously. In discrete-event simulation, time jumps from event to event. Option A is partially true
but not the fundamental distinction. Option C is false as both can be deterministic or stochastic.
Option D is incorrect as continuous simulation applies to many system types.
QUESTION 5:
Which of the following is a valid reason to use simulation over analytical methods?
A. Simulation always provides more accurate answers
B. Analytical methods cannot handle complex stochastic systems
C. Simulation requires no mathematical knowledge
D. Analytical methods are always slower
ANSWER: B. Analytical methods cannot handle complex stochastic systems
RATIONALE: Simulation is often preferred when systems are too complex for analytical solutions
due to randomness, interdependencies, or nonlinearity. Option A is false because simulation
provides estimates, not exact answers. Option C is incorrect as simulation requires significant
mathematical understanding. Option D is generally false as analytical methods are often faster.
QUESTION 6:
What is a pseudo-random number generator (PRNG)?
A. A device that generates truly random numbers from physical processes
B. An algorithm that produces deterministic sequences appearing random
C. A method for generating numbers without any mathematical formula
D. A hardware component in all computers
Page 4 of 63
