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Simulation and Modeling (CSC 317) Notes & Syllabus – TU BSc CSIT 5th Semester


Subject

Simulation and Modeling (CSC 317) Notes & Syllabus – TU BSc CSIT 5th Semester

TU BSc CSIT 5th Semester Simulation and Modeling (CSC 317): official syllabus plus free notes PDFs on queuing, Markov chains, random numbers, and GPSS.

Sep 27, 2026
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Simulation and Modeling (CSC 317) is a Fifth Semester course in Tribhuvan University’s BSc CSIT program. It teaches how to model and simulate real-world systems — continuous and discrete event simulation, queuing theory, Markov chains, random number generation, model verification and validation, output analysis, and the GPSS simulation language.

Start with the official Simulation and Modeling syllabus (CSC 317), then study from the notes below:

What you’ll learn

  • Systems, models, and the phases of a simulation study
  • Continuous, hybrid, and discrete event simulation with Monte Carlo methods
  • Single- and multi-server queuing systems and their performance measures
  • Markov chains and their applications
  • Random number generation, randomness tests (K-S, Chi-Square), and random variates
  • Model verification and validation, output analysis, and GPSS

Course snapshot

  • Code: CSC 317
  • Program: BSc CSIT, Fifth Semester
  • Board: Tribhuvan University (IOST)
  • Nature: Theory + Lab, 3 credit hours
  • Marks: 60 (final) + 20 (internal) + 20 (lab)

About Tribhuvan University

This subject Simulation and Modeling is offered by Tribhuvan University. This institution is committed to providing high-quality educational resources.

Frequently Asked Questions

Basic understanding of fundamental concepts is helpful but not required. We start from the basics and build up your knowledge progressively.

Once you start studying, you have unlimited access to all subject materials. You can revisit the content as many times as you need.

Yes, you'll receive a certificate of completion that you can add to your profile. Many institutions recognize our certificates as evidence of continued learning.

Our approach focuses on practical, applicable knowledge of Simulation and Modeling. While we cover theory thoroughly, we emphasize real-world applications and practical skills.

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