Models of data communication and computer networks: Analyse the models used in data communication and computer networks.

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Models of data communication and computer networks: Analyse the models used in data communication and computer networks.

Dive into the fascinating world of data communication and computer networks, where you'll encounter two essential models: the OSI model and the TCP/IP model. These models serve as the backbone of all networking systems and dictate how data is transmitted and received across different devices.

OSI Model: The Blueprint for Data Communication

The OSI model, or the Open Systems Interconnection model, is a seven-layered framework that standardizes network protocols and allows for communication between different systems. Each layer in the model has a unique function and is responsible for a distinct aspect of data transmission.

Let's take a closer look at the seven layers:

  • The Physical Layer is responsible for the physical connection between devices, dealing with binary data and transmission mediums.

  • The Data Link Layer handles error detection and correction, ensuring data packets reach their designated devices.

  • The Network Layer is in charge of routing, directing data packets to their final destination based on IP addresses.

  • The Transport Layer manages the delivery of data, ensuring it's received in the correct sequence and without errors.

  • The Session Layer is like a 'network manager', establishing, managing, and terminating communication sessions.

  • The Presentation Layer is the translator, transforming data into a format that the application layer can understand.

  • Lastly, the Application Layer is the user interface, providing network services to the applications used by the end-users.

TCP/IP Model: The Internet's Building Block

On the other hand, the TCP/IP model, also known as the Internet Protocol Suite, is a more simplified version of the OSI model with just four layers. Despite its simplicity, it's the foundation of the internet and supports large networks like LAN and WAN.

Here are the four layers:

  • The Network Interface Layer corresponds to the combination of the Physical and Data Link Layers from the OSI model.

  • The Internet Layer, similar to the Network Layer of the OSI model, manages packet routing through the network.

  • The Transport Layer, just like in the OSI model, ensures proper data transmission.

  • The Application Layer, a blend of the Session, Presentation, and Application layers from the OSI model, interacts directly with the data from the user.

OSI vs TCP/IP: A Comparative Analysis

Both the OSI and TCP/IP models play a crucial role in shaping how our networks function. However, while OSI is a theoretical model used for understanding and describing how different network functions interact, TCP/IP is a practical model that's widely implemented in real-world settings, such as the internet.

From university classrooms to the tech industry, these models serve as fundamental knowledge for anyone looking to understand or work with computer networks. So whether you're an aspiring IT professional or a curious learner, mastering these models is a step toward a deeper understanding of the digital world around us.

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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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