ITM 207 Final Exam Theory
Study online at https://quizlet.com/_ewm0rp
1. Simulation: a model of a complex system and the experimental manipulation of the model to observe the
results
2. Model: An abstraction of a real system.
3. Continuous Simulation: -Treats time as continuous
-Expresses changes in terms of a set of di�erential equations that re ect the relationships among the set of character-
istics
-Meteorological models fall into this category
4. Discrete Event Simulation: made up of entities, attributes and events
5. entity: the representation of some object in the real system that must be explicitly de ned
6. attribute: some characteristics of a particular entity
7. event: an interaction between entities
8. what is discrete event best describe: a model that represents interacting objects
9. queuing system: A discrete-event model that uses random numbers to represent the arrival and duration of
events
10. meteorological models: Models based on the time-dependent partial di�erential equations of uid
mechanics and thermodynamics
11. graphics: originally the language of communications for engineers, designers, and architects
12. Computer-Aided Design (CAD): a system that uses computers with advanced graphics hardware and
software to create precision drawings or technical illustrations
13. GamePlay: they type of interactions and experiences a player has during the game
14. Game Engine: A software system within which games can be created
15. Imperative Paradigm: Program describes the processing
16. Declarative Paradigm: Program describes the results
17. Imperative: - Procedural
- Object-oriented model
18. Procedural Imperative Paradigms: Characterized by sequential instructions
- Fortran, C, C++
19. Object-oriented model Imperative Paradigms: program consists of a set of objects and the
interactions among the objects
- Python, Java, Smalltalk, Simula
20. Declarative: - Functional
- Logic
1/3
Study online at https://quizlet.com/_ewm0rp
1. Simulation: a model of a complex system and the experimental manipulation of the model to observe the
results
2. Model: An abstraction of a real system.
3. Continuous Simulation: -Treats time as continuous
-Expresses changes in terms of a set of di�erential equations that re ect the relationships among the set of character-
istics
-Meteorological models fall into this category
4. Discrete Event Simulation: made up of entities, attributes and events
5. entity: the representation of some object in the real system that must be explicitly de ned
6. attribute: some characteristics of a particular entity
7. event: an interaction between entities
8. what is discrete event best describe: a model that represents interacting objects
9. queuing system: A discrete-event model that uses random numbers to represent the arrival and duration of
events
10. meteorological models: Models based on the time-dependent partial di�erential equations of uid
mechanics and thermodynamics
11. graphics: originally the language of communications for engineers, designers, and architects
12. Computer-Aided Design (CAD): a system that uses computers with advanced graphics hardware and
software to create precision drawings or technical illustrations
13. GamePlay: they type of interactions and experiences a player has during the game
14. Game Engine: A software system within which games can be created
15. Imperative Paradigm: Program describes the processing
16. Declarative Paradigm: Program describes the results
17. Imperative: - Procedural
- Object-oriented model
18. Procedural Imperative Paradigms: Characterized by sequential instructions
- Fortran, C, C++
19. Object-oriented model Imperative Paradigms: program consists of a set of objects and the
interactions among the objects
- Python, Java, Smalltalk, Simula
20. Declarative: - Functional
- Logic
1/3
