Computer Networks - Syllabus

Overview of E-commerce and its significance in the digital age.

Understanding the differences between E-business and E-commerce.

Key characteristics and benefits of E-commerce.

Types of E-commerce models and their applications.

Evolution and development of E-commerce over time.

Understanding the components of E-commerce framework including People, Public Policy, Marketing and Advertisement, Support Services, and Business Partnerships.

Overview of different types of E-commerce including B2C, B2B, C2B, C2C, M-Commerce, U-commerce, Social-Ecommerce, and Local E-commerce.

Common obstacles and difficulties faced in E-commerce.

Current state and trends of E-commerce in Nepal.

This topic covers the different types of network devices including repeaters, hubs, switches, bridges, and routers, and their roles in a computer network.

This topic explores the different types of transmission media, including wired (twisted pair, coaxial, fiber optic) and wireless (radio waves, microwaves, infrared) media.

This topic discusses the different Ethernet cable standards, including UTP and fiber cable standards, and their applications.

This topic covers the different switching techniques used in computer networks, including circuit switching, message switching, and packet switching.

This topic explains the basics of Integrated Services Digital Network (ISDN) including its interface and standards.

Introduction to databases, including examples and basic concepts.

Introduction to Database Management Systems (DBMS), including advantages and examples.

Types of database users, including actors on the scene and workers behind the scene.

Advantages and benefits of using databases.

Types of data models, including hierarchical, network, ER, relational, and object models.

Three-schema architecture, including internal, conceptual, and external views.

Data independence, including logical and physical independence.

Types of database languages, including DDL, DML, SDL, and VDL.

Types of database interfaces, including menu-based, mobile apps, form-based, and GUI.

This topic explores models of information processing inspired by the structure and function of the brain. It introduces the concept of neural networks and their application to information processing.

This topic delves into the basics of single-layer neural networks and their relationship with Boolean functions. It covers the fundamentals of neural network architecture and its application to simple logical operations.

This topic builds upon the basics of single-layer networks and explores the architecture and functionality of multilayer neural networks. It discusses the advantages and limitations of multilayer networks in information processing.

This topic examines the process of information processing within neural networks. It covers how neural networks receive, process, and transmit information, and the implications for cognitive science.

This topic investigates the application of neural networks to language learning and processing. It explores how neural networks can be used to model language acquisition and understanding.

This topic applies neural network models to the study of children's physical reasoning and cognitive development. It examines how neural networks can be used to understand and simulate children's problem-solving abilities.

This topic explores the role of workstations in distributed systems, including their configuration, management, and security.

Introduction to routing, its types, and importance in computer networks.

Exploring static vs dynamic, unicast vs multicast, link state vs distance vector, and interior vs exterior routing.

Understanding Bellman Ford and Dijkstra's algorithms for path computation in routing.

Introduction to RIP, OSPF, and BGP routing protocols, their features, and applications.

Overview of mechanisms for transitioning from IPv4 to IPv6, including their advantages and limitations.

Introduction to ICMP/ICMPv6 and NATing, their functions, and importance in computer networks.

Overview of network traffic analysis, its importance, and applications in computer networks.

Introduction to firewall and router access control, their importance, and applications in network security.

This topic introduces the concept of transaction processing, highlighting the differences between single user and multi-user systems, read/write operations, and the need for concurrency control to avoid problems such as lost update, temporary update, incorrect summary, and unrepeatable read.

This topic covers the fundamental concepts of transactions, including transaction states, system log, and commit point of transaction.

This topic discusses the desirable properties of transactions, namely atomicity, consistency, isolation, and durability (ACID).

This topic explores schedules, conflicting operations, and characterizing schedules based on recoverability and serializability, including serial, non-serial, and conflict serializable schedules.

This topic introduces concurrency control techniques, including two-phase locking and timestamp ordering.

This topic delves into two-phase locking, including types of locks, basic, conservative, strict, and rigorous two-phase locking, deadlock and starvation, deadlock prevention, and deadlock detection.

This topic covers timestamp ordering, including timestamp, read timestamp, write timestamp, basic timestamp ordering, and strict timestamp ordering.

Introduction to multiple correlation, its concept, and application in statistics. Exploring the relationship between multiple variables.

Understanding partial correlation, its concept, and application in statistics. Analyzing the relationship between two variables while controlling for other variables.

Basic concepts and principles of multiple linear regression, including model formulation and estimation. Understanding the relationship between multiple independent variables and a dependent variable.

Testing hypotheses in multiple regression, including significance testing and confidence intervals. Evaluating the overall fit and significance of the regression model.