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.
Units
Key Topics
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Introduction to E-commerce
IN-1Overview of E-commerce and its significance in the digital age.
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E-business vs E-commerce
IN-2Understanding the differences between E-business and E-commerce.
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Features of E-commerce
IN-3Key characteristics and benefits of E-commerce.
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Pure vs Partial E-commerce
IN-4Types of E-commerce models and their applications.
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History of E-commerce
IN-5Evolution and development of E-commerce over time.
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E-commerce Framework
IN-6Understanding the components of E-commerce framework including People, Public Policy, Marketing and Advertisement, Support Services, and Business Partnerships.
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Types of E-commerce
IN-7Overview of different types of E-commerce including B2C, B2B, C2B, C2C, M-Commerce, U-commerce, Social-Ecommerce, and Local E-commerce.
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Challenges in E-commerce
IN-8Common obstacles and difficulties faced in E-commerce.
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Status of E-commerce in Nepal
IN-9Current state and trends of E-commerce in Nepal.
Queuing system, Markov chains, Differential partial equations
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
Key Topics
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Vector Spaces and Subspaces
VE-1Introduction to vector spaces and subspaces, including their definitions and properties.
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Null Spaces, Column Spaces, and Linear Transformations
VE-2Exploration of null spaces, column spaces, and linear transformations, including their relationships and applications.
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Linearly Independent Sets and Bases
VE-3Discussion of linearly independent sets and bases, including their definitions, properties, and importance in vector spaces.
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Coordinate Systems
VE-4Introduction to coordinate systems, including their definition, importance, and applications in vector spaces.
Key Topics
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System Requirements
AN-001Introduction to system requirements, including traditional and contemporary methods for determining system requirements, requirements management tools, and requirements determination using agile methodologies.
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System Process Requirements
AN-002Introduction to system process requirements, including process modeling, data flow diagramming, and modeling logic with decision tables.
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System Data Requirements
AN-003Introduction to system data requirements, including conceptual data modeling, E-R modeling, and business rules, as well as the role of packaged conceptual data models and database patterns.
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Elimination of Internal Bias
AN-004Methods for identifying and eliminating internal bias in simulation models to improve accuracy and reliability.
Key Topics
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Simulation Tools
SI-1Overview of software tools used for simulation, including their features and applications.
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Simulation Languages
SI-2Introduction to programming languages specifically designed for simulation, such as GPSS.
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GPSS Simulation Language
SI-3In-depth study of the GPSS simulation language, including its syntax, features, and examples.
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Case Studies of Simulation
SI-4Analysis of real-world examples of simulation in different domains, highlighting their objectives, methodologies, and outcomes.
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Simulation Models
SI-5Concepts and techniques for designing and developing simulation models, including model types and their applications.
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Construction of Mathematical Models
SI-6Methods for building mathematical models that can be used for simulation, including equation-based and algorithmic models.
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Determinant and Selection of Prime Implicants
SI-7A method for selecting the essential prime implicants in a Boolean function. It is used to minimize Boolean expressions and implement digital circuits.