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ENCT 353Bachelor in Computer Engineering · Semester 61 Paper Available

Simulation and Modeling

Past examination question papers and complete curriculum syllabus for Simulation and Modeling (ENCT 353), Bachelor in Computer Engineering Semester 6 under Institute of Engineering (IOE), Tribhuvan University.

Sem 6 Subjects (6)View Full Semester Overview →
ENCE 356Engineering EconomicsENCT 351Artificial IntelligenceENCT 352Software EngineeringENCT 353Simulation and ModelingENCT 354Minor ProjectENCT 385-399Elective II
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Past Question Papers (PDF)

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Note: This question paper file (8th sem) was archived from an IOE exam session for the common Simulation and Modeling curriculum.

8th-sem_Simulation and Modeling.pdf

IOE Past Examination Paper

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Most Frequently Asked Questions

Top recurring IOE board exam questions for Simulation and Modeling with verified mark schemes, formula notation, and recurrence frequency.

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Year-wise & Session-wise Exam Papers

Complete questions from each exam session (Regular & Back exams from 2082 to 2069) for Simulation and Modeling. Click any session paper to expand.

Showing 332 questions across 22 exam session papers
Institute of Engineering • 2082 Chaitra Board Examination
Q1[8 Marks]Introduction to Simulation📐 Diagram in Paper
Differentiate between Simulation and Modeling. Draw the flowchart representing phases in simulation study and explain the model building phase.
Q2[6 Marks]Physical and Mathematical Models
Explain the analog computer model of liver with necessary equation and diagrams.
Q3[2 Marks]Simulation of Continuous System
Define feedback system. Design and explain the analog computer model of the liver with necessary block diagram and equations.
Q4[4 Marks]Simulation of Queuing System
Explain the queuing system with necessary block diagram. Discuss the Kendall notation in queuing systems. What is the meaning of M/D/6/20/1000/LIFO.
Q5[3 Marks]Markov Chains
Discuss the features of Markov chain. Explain the application of Markov chain with suitable example.
Q6[5 Marks]Random Number
Write the properties of random number. A sequence of five-digit numbers has been generated and an analysis indicates the following combination observation: All same 15, all different 3570, exactly one pair 4400, exactly two pairs 1100, three of a kind 800, four of a kind 35 and full house 80. Based on the poker test, are these numbers independent at (chi square table value for , is ).
Q7[5 Marks]Random Number
Based on the poker test, are these numbers independent at (chi square table value for is ).
Q8[5 Marks]Verification and Validation of Simulation Models
Explain with an example the iterative process of calibrating of model.
Q9[5 Marks]Analysis of simulation output
Explain the replication of runs method for a single-server queue (M/M/1) simulation.
Q10[6 Marks]Simulation software
Explain simulation in Java using a single server queue model.
Q11[6 Marks]Simulation of Computer Systems
How memory simulation is done in computer system? Explain with example.
Q12[8 Marks]Introduction to Simulation
Define simulation. Explain the various steps in simulation study with diagram.
Q13[8 Marks]Simulation of Queuing System
Explain Kendall notation in queuing systems.
Q14[8 Marks]Simulation of Computer Systems
What is the meaning of M/D/6/20/1000/LIFO.
Q15[6 Marks]Introduction to Simulation
Define simulation. Explain the various steps in simulation study with diagram.
Q16[2 Marks]Simulation of Continuous System
Define feedback system. Explain the analog method for liver with necessary equations and figure.
Q17[6 Marks]Simulation of Queuing System
Explain the queuing system with necessary block diagram. Discuss the Kendall notation in queuing systems. What is the meaning of M/D/6/20/1000/LIFO.

Curriculum Syllabus & Course Topics

Sourced from TU curriculum portal
Full Syllabus (PDF)
Chapter-wise Units & Micro-Syllabus Topics (10 Units)

  1. 1. Introduction to Simulation

    • 1.1System and system environment concepts
    • 1.2Continuous and discrete systems
    • 1.3Types of models
    • 1.4Model development life cycle
    • 1.5Simulation and steps in simulation study
    • 1.6Advantages and disadvantages of simulation
    • 1.7Monte-Carlo simulation
    • 1.8Discrete-event system simulation

  2. 2. Physical and Mathematical Models

    • 2.1Differential and partial differential equations
    • 2.2Static physical model
    • 2.3Dynamic physical model
    • 2.4Static mathematical models
    • 2.5Dynamic mathematical models

  3. 3. Simulation of Continuous System

    • 3.1Continuous system models
    • 3.2Analog computer
    • 3.3Analog methods
    • 3.4Hybrid simulation
    • 3.5Digital-analog simulators
    • 3.6Continuous system simulation languages (CSSLs)
    • 3.7Feedback systems

  4. 4. Simulation of Queuing System

    • 4.1Elements of queuing system
    • 4.2Characteristics of queuing systems
    • 4.3Model of queuing system
    • 4.4Types of queuing system
    • 4.5Queuing notation (Kendall’s notation)
    • 4.6Measurement of system performance
    • 4.7Network of queues
    • 4.8Applications of queuing system

  5. 5. Markov Chains

    • 5.1Key features of Markov chains
    • 5.2Markov process with examples
    • 5.3Applications of Markov chains

  6. 6. Random Number

    • 6.1Properties of random numbers
    • 6.2Generation of pseudo-random numbers
    • 6.3Random number generation: Linear and arithmetic congruential methods
    • 6.4Tests for random numbers
    • 6.4.1Kolmogorov-Smirnov test
    • 6.4.2Chi-Square (𝛘2) test
    • 6.4.3Gap test
    • 6.4.4Poker’s method
    • 6.4.5Testing for auto correlation
    • 6.5Generating discrete distribution
    • 6.6Inversion, rejection, composition and convolution

  7. 7. Verification and Validation of Simulation Models

    • 7.1Verification and validation
    • 7.2Verification of simulation models
    • 7.3Calibration and validation of models
    • 7.4Naylor and finger validation process
    • 7.5Validation: Errors

  8. 8. Analysis of simulation output

    • 8.1Confidence intervals and hypothesis testing
    • 8.2Estimation methods
    • 8.3Simulation run statistics
    • 8.4Replication of runs
    • 8.5Elimination of initial bias

  9. 9. Simulation software

    • 9.1Simulation in Java
    • 9.2Simulation in GPSS
    • 9.3Simulation in Python
    • 9.4Other simulation software

  10. 10. Simulation of Computer Systems

    • 10.1Simulation tools
    • 10.2High level computer: System simulation
    • 10.3CPU simulation
    • 10.4Memory simulation
    • 10.5Simulation of computer networks

Examination Scheme & Marks Distribution

Evaluation Structure

  • Final Board Theory Exam: 60 Marks (Pass mark: 24)
  • Internal Assessment: 40 Marks (Pass mark: 16)
  • Practical / Lab Exam: 25 or 50 Marks (Continuous lab evaluation + viva, where applicable)

* This is the general current IOE 60/40 scheme; verify course-specific details in the syllabus above.

Exam Preparation Guidelines

  • Review the available past examination paper to understand question styling, typical derivation topics, and marks allocation.
  • Cross-reference key answers with official syllabus units, standard textbooks, and lecture notes.
  • Structure answers with labeled diagrams, concise bullet points, and highlight final answers in numerical solutions.
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Curriculum Syllabus & Marking Scheme