Table of Contents
Data Communications for Business
Course Description:
This course provides an overview of data communications technologies and their applications in business settings. It covers fundamental concepts, protocols, and technologies essential for effective data exchange within and across organizations. Emphasis is placed on understanding the role of data communications in supporting business operations, decision-making, and collaboration.
Course Objectives:
Understand the fundamental principles of data communications.
Identify different types of networks and their applications in business environments.
Explore data transmission technologies and their implications for business operations.
Examine network security and privacy considerations in business data communications.
Analyze emerging trends and technologies shaping the future of data communications in business.
Week-wise Course Outline:
Week 1: Introduction to Data Communications
Overview of data communications
Importance of data communications in business
Basic terminology and concepts
Week 2: Network Architectures
Client-server vs. peer-to-peer networks
Local Area Networks (LANs), Wide Area Networks (WANs), and Metropolitan Area Networks (MANs)
Cloud computing and its impact on business networks
Week 3: Network Protocols
TCP/IP protocol suite
OSI model and its layers
Ethernet, Wi-Fi, and other common protocols
Week 4: Data Transmission Technologies
Wired vs. wireless transmission
Fiber optics, copper wires, and wireless technologies
Bandwidth and data transfer rates
Week 5: Network Infrastructure
Routers, switches, and hubs
Network topologies (star, bus, ring)
Network virtualization and software-defined networking (SDN)
Week 6: Network Security
Threats to network security
Encryption and authentication methods
Firewalls, intrusion detection systems, and antivirus software
Week 7: Business Applications of Data Communications
Email and instant messaging
Video conferencing and collaboration tools
Enterprise resource planning (ERP) and customer relationship management (CRM) systems
Week 8: Mobile and IoT Connectivity
Mobile networks and technologies
Internet of Things (IoT) devices and applications
Challenges and opportunities in mobile and IoT data communications
Week 9: Cloud Computing and Data Communications
Cloud service models (IaaS, PaaS, SaaS)
Cloud deployment models (public, private, hybrid)
Data storage, backup, and recovery in the cloud
Week 10: Emerging Trends in Data Communications
5G networks and beyond
Edge computing and fog computing
Blockchain technology and its implications for data communications
Week 11: Case Studies and Practical Applications
Real-world examples of successful data communications implementations in business
Hands-on exercises and simulations
Discussion of challenges and best practices
Week 12: Future Directions and Final Project
Predictions for the future of data communications in business
Group projects exploring innovative uses of data communications technology in specific industries or business scenarios
Presentation of final projects and discussion of findings
Assessment:
Quizzes and assignments based on weekly topics
Participation in class discussions and activities
Midterm exam covering foundational concepts
Final project demonstrating understanding of course material and application to real-world business scenarios