Revision Sem 1 NML PDF

Chapter 1: Introduction to New Media Literacy This chapter introduces new media literacy and its role in today’s digital age. It covers how media shapes perceptions, behaviors, and communication patterns. Key Topics: 1. What is Media Literacy? a. Defined as the ability to access, analy...

Chapter 1: Introduction to New Media Literacy This chapter introduces new media literacy and its role in today’s digital age. It covers how media shapes perceptions, behaviors, and communication patterns. Key Topics: 1. What is Media Literacy? a. Defined as the ability to access, analyze, evaluate, and communicate media content. b. Helps individuals critically understand the messages they consume. 2. Media Consumption Habits a. Young people spend an average of 6.5 hours daily on media (TV, music, internet, video games). b. They have increased access to media due to mobile devices, social media, and streaming platforms. c. Despite high media consumption, engagement with physical activities and family time is limited. 3. Types of Literacy Related to Media: a. Digital Literacy → Ability to use digital tools effectively. b. Information Literacy → Skills to identify, evaluate, and use information efficiently. c. Multicultural Literacy → Understanding cultural differences in communication. d. Emerging Technology Literacy → Adapting to new technologies and innovations. 4. Traditional vs. New Media a. Traditional Media: Newspapers, TV, radio, magazines. b. New Media: Social media, blogs, mobile apps, interactive websites. c. The two coexist, but digital media is growing faster due to ease of access. 5. Challenges of New Media a. Misinformation & Fake News → Content spreads quickly online, making fact-checking harder. b. Social Isolation → Overuse of digital devices reduces real-life interactions. c. Privacy Issues → Social media and online platforms collect personal data, raising concerns about surveillance. Discussion Questions: How can we teach media literacy in society? What are the biggest risks of media consumption today? How does new media affect politics, culture, and businesses? Chapter 2: Internet of Things (IoT) – The Future of New Media This chapter connects IoT and new media, showing how smart devices influence communication and business models. Key Topics: 1. What is IoT? a. IoT refers to everyday objects embedded with sensors, software, and internet connectivity. b. Devices can collect and exchange data, automating processes without human intervention. 2. IoT’s Impact on New Media a. The rise of smart TVs, wearables, and voice assistants (Alexa, Google Assistant) has changed media consumption. b. IoT allows for hyper-personalized content (e.g., Spotify recommendations, Netflix algorithms). 3. How IoT Affects Business & Marketing a. Businesses use IoT-generated data to predict consumer behavior. b. Example: Smart fridges can suggest grocery orders based on usage patterns. 4. IoT & Big Data a. IoT generates massive amounts of data, which businesses analyze for insights. b. Companies use AI and machine learning to process data and improve services. Discussion Questions: How will IoT change digital marketing strategies? What are the ethical concerns related to IoT and personal data? Can IoT fully replace human decision-making in businesses? Chapter 3: Introduction to Internet of Things (IoT) This chapter provides a comprehensive look at IoT, its technical components, and the skills needed to develop IoT systems. Key Topics: 1. Basic Concepts of IoT a. IoT devices consist of sensors, actuators, and connectivity modules. b. Devices sense their environment, collect data, and trigger actions automatically. c. Example: A smart thermostat adjusts room temperature based on occupancy. 2. Key Skills Needed for IoT Users: a. Hardware Development → Knowledge of microcontrollers (e.g., Arduino, Raspberry Pi). b. Networking → Understanding of Wi-Fi, Bluetooth, Zigbee, and RFID technologies. c. Application Development → Building web and mobile apps to control IoT devices. d. Security & Privacy → Protecting IoT systems from cyber threats. e. Machine Learning & AI → Using AI to analyze real-time IoT data. 3. Convergence of Technologies a. IoT is evolving due to faster internet speeds, AI, and cloud computing. b. The adoption of 5G networks will further enhance IoT capabilities. c. Businesses use IoT to increase efficiency, reduce costs, and improve decision-making. 4. Real-World IoT Applications: a. Smart Homes → Automated lights, smart locks, and voice assistants. b. Healthcare → Remote patient monitoring through smart medical devices.  c. Industrial IoT → Sensors in factories to detect machine failures before they occur. 5. Security & Privacy Challenges a. IoT creates more points of vulnerability for cyberattacks. b. Companies need strong encryption and access control to protect IoT data. c. Example: A hacked smart security camera can be used for spying. Discussion Questions: What industries will benefit the most from IoT? How can security risks in IoT be minimized? Will IoT eventually replace human jobs? Overall Summary: Chapter 1 focuses on media literacy, digital transformation, and the effects of new media. Chapter 2 explores IoT’s role in new media, marketing, and business analytics. Chapter 3 explains IoT technologies, required skills, and security challenges. Chapter 4: Technologies Behind IoT This chapter explores the hardware and software that power IoT. Key Points: Embedded Systems: Small computers built into devices (e.g., smart thermostats, automated vehicles). IoT Hardware: o Microcontrollers (Arduino, Raspberry Pi) o Sensors (motion, temperature, GPS) IoT Software: o RIOT OS (for IoT devices) o Thingsquare Mist (wireless networking software) Communication Technologies: o Wi-Fi & Bluetooth: Short-range communication.  o RFID & NFC: Contactless data exchange (used in payments and access cards). o GPS & RTLS: Tracking locations in real-time. Discussion Questions: What is the difference between GPS and RTLS? How do embedded systems improve efficiency in industries? Chapter 5: IoT Connection to Cloud Computing and Big Data This chapter explains how IoT, cloud computing, and big data work together. Key Points: Cloud Computing & IoT: Cloud platforms store and analyze IoT data in real time. Big Data in IoT: Massive data from IoT devices helps in predictive analysis and automation. Real-World Examples: o Smart Homes: Cloud-connected devices adjust lighting, security, and appliances. o Smart Cities: Traffic control, energy management, and surveillance using cloud-based AI. Challenges: Managing large-scale data, security vulnerabilities, and system reliability. Discussion Questions: How does IoT improve urban infrastructure? Why is cloud computing essential for IoT? Chapter 6: Introduction to Big Data This chapter defines big data and its role in IoT, AI, and business decision-making. Key Points: What is Big Data? Huge amounts of structured and unstructured data generated daily. Sources of Big Data: o Social media o IoT sensors o Business transactions Big Data Processing Models: o OLTP (Online Transaction Processing) → Used in banking and retail. o OLAP (Online Analytical Processing) → Used for business intelligence. o RTAP (Real-Time Analytics Processing) → Used for instant decision-making. Big Data Challenges: Managing, analyzing, and securing large datasets efficiently. Discussion Questions: How can businesses use big data for decision-making? What are the ethical concerns related to big data collection? Conclusion: These chapters explore the impact of new media, IoT, cloud computing, and big data in our digital world. The key takeaways include: Media literacy is essential in the digital age. IoT is revolutionizing industries by automating processes and collecting data. Cloud computing enables efficient storage and analysis of IoT data. Big data is driving business intelligence and AI development.