Simulation and modeling - Syllabus

Embark on a profound academic exploration as you delve into the Simulation and modeling course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (CSC-302) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60+20+20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.

Course Synopsis: This course provides the discrete and continuous system, generation of random variables, analysis of simulation output and simulation languages.


Introduction to Simulation

Continuous and discrete systems, system simulation, real time simulation, types of simulation models, steps in simulation study, phases of a simulation study, advantages of simulation, limitations of the simulation technique, area of applications.

Simulation of Continuous System

Queuing system, Markov chains, Differential partial equations

Random Numbers

Random numbers, random number tables, pseudo random numbers, generation of random number, testing numbers for randomness, uniformity test, chi-square test, testing for auto correlation, poker test

Verification and Validation of Simulation Models

Model building, verification and validation, verification of simulation models, calibration and validation of models

analysis of simulation output

Estimation methods, simulation run statistics, replication of runs, elimination of internal bias

Simulation Languages

Basic concept of simulation tool, discrete systems modeling and simulation continuous system modeling and simulation, data and control, hybrid simulation, feedback systems: typical applications.