Grade 11th Notes on Applications of Information Systems

Summary

These notes cover various applications of information systems, including e-government, e-banking, e-learning, e-commerce, telemedicine, and teleconferences. The role of IT in entrepreneurship, highlighted through case studies like RIDE, is also explored. The notes touch upon job creation, youth employment, and low startup costs within the context of IT.

Full Transcript

**1.3. Applications of Information System** **1. E-Government** **Definition:** The use of information systems to provide electronic services to citizens, enhancing efficiency, transparency, and participation. **Key Benefits:** - Builds trust between governments and citizens. - Improves com...

**1.3. Applications of Information System** **1. E-Government** **Definition:** The use of information systems to provide electronic services to citizens, enhancing efficiency, transparency, and participation. **Key Benefits:** - Builds trust between governments and citizens. - Improves communication among government agencies. - Easy access to government decisions and policies. - Reduces operational costs. - Provides convenience for citizens to access services online. **Examples:** Business registrations, tax payments, issuance of certificates. **2. E-Banking** **Definition:** Technology-based banking services that allow transactions without the need for physical cash or documents. **Key Benefits:** - Lower operational costs for banks. - Convenience for customers to access services anytime. - Quick access to account information. - Ability to make payments from anywhere. **Challenges:** - Risks of digital theft. - Exclusion of those who are digitally illiterate. - Limited access in remote areas. - High costs for technology for low-income users. **3. E-Learning** **Definition:** Educational delivery through digital means, allowing flexible learning opportunities. **Key Benefits:** - Flexibility in learning schedules. - Student-centered learning at their own pace. - Access to diverse educational resources. - Engaging multimedia content. - Reduced costs for travel and accommodation. **Challenges:** - Isolation from teachers and peers. - Limited monitoring of student progress. - Technology costs can be a barrier for low-income families. **4. E-Commerce** **Definition:** The buying and selling of goods and services online. **Key Benefits:** - Direct purchasing from manufacturers, cutting out intermediaries. - Convenience of shopping from anywhere. - Increased price comparison power for consumers. - Global market reaches for businesses. **Challenges:** - Need for improved infrastructure and regulations. **5. Telemedicine** **Definition:** Remote healthcare services, allowing patients to consult with healthcare providers without being in the same location. **Key Benefits:** - Increased access to healthcare in remote areas. - Reduced costs by eliminating travel. - Access to specialized care. **Challenges:** - Requires training and technology not readily available in rural areas. **6. Teleconference** **Definition:** Meetings held using electronic communication to connect participants from different locations. **Key Benefits:** - Saves time and travel costs. - Reduces hosting costs. - Accommodates more participants efficiently. **Types:** - **Audio conferencing:** Voice-only communication. - **Video conferencing:** Combines voice and video for a more interactive experience. **Personal Experience with E-Commerce** Reflecting on personal experiences with e-commerce can provide insights into its benefits, such as the convenience of shopping from home, ability to compare prices easily, and access to products not available locally. **1.4. IT for Entrepreneurship** **Definition of Entrepreneurship:**\ Entrepreneurship involves designing, launching, and managing a new business. An entrepreneur is someone who takes on the risks associated with creating a business while reaping its rewards. Often seen as innovators, entrepreneurs generate new ideas, products, and services. **Role of Information Technology (IT):**\ IT is reshaping the business landscape by providing fresh opportunities for entrepreneurs. IT-enabled businesses leverage technology as a platform for operation, encompassing areas like online training, data entry services, internet cafés, and e-commerce. **Opportunities Created by IT in Entrepreneurship:** 1. **Job Creation:**\ IT businesses have the potential to generate employment, particularly in developing regions. The rise of mobile applications has fostered small- and medium-sized enterprises (SMEs), notably in countries like India and Kenya. 2. **Youth Employment:**\ Youth unemployment is a global issue, and IT can help address this by creating new job opportunities. Integrating IT into youth employment strategies is essential for several reasons: - **Demand for IT Skills:** Many new jobs require IT competencies. - **Transformation of Business:** IT is reshaping how young entrepreneurs conduct their businesses. - **Access to Online Learning:** There is a surge in online resources and learning opportunities for aspiring entrepreneurs. 3. **Low Startup Costs:**\ IT-based businesses typically require less capital than traditional businesses. With minimal resources---like a laptop and a creative mindset---individuals can launch innovative ventures. **Case Study: RIDE** A notable example in Ethiopia is **RIDE**, founded by Samrawit Fikru. Initially starting as an SMS-based service, RIDE has evolved into a popular internet-based taxi-hailing platform. It has significantly contributed to job creation while offering an alternative transportation service to users. **UNIT-2 EMERGING TECHNOLOGIES** **2.1 Artificial Intelligence (AI)** **Definition**: AI is a branch of computer science focused on designing systems that mimic human intelligence. These systems can reason, generalize, and learn from experience. **Key Features**: **Reasoning**: The ability to make logical deductions based on given information. **Generalization**: Applying knowledge from past experiences to solve new, similar problems. **1. History of AI** **Origins**: AI\'s roots trace back to the 1940s, with the term being coined in the 1950s. **Growth Factors**: The surge in AI\'s popularity is largely due to advances in computer capacity and the availability of vast amounts of data. **2.1.1 Branches of AI** **a. Machine Learning** **Definition**: Machine learning focuses on algorithms that allow computers to learn from data without explicit programming. **Applications**: Fraud detection, recommendation systems, email spam detection, speech recognition. **b. Robotics** **Definition**: Robotics involves machines (robots) that perform tasks traditionally carried out by humans. **Applications**: Used in manufacturing, hazardous environments, and increasingly in domestic settings (e.g., robot vacuum cleaners). **c. Natural Language Processing (NLP)** **Definition**: NLP enables computers to understand and interpret human language. **Applications**: **Spam Detection**: Identifying unwanted emails. **Machine Translation**: Translating languages (e.g., Google Translate). **Virtual Assistants**: Like Amazon's Alexa and Apple's Siri. **Sentiment Analysis**: Gauging public opinion from social media. **Fake News Identification**: Evaluating the credibility of news sources. **Text Summarization**: Condensing large documents. **d. Expert Systems** **Definition**: Programs that emulate human experts to solve specific problems. **Components**: **User Interface**: Interaction platform for users. **Knowledge Base**: Repository of expert knowledge organized in rules. **Inference Engine**: Processes information and provides answers. **Example**: MYCIN, used for diagnosing infections. **2.1.2 Applications of AI** **i. Online Shopping** - AI personalizes user experiences by analyzing shopping data, leading to tailored recommendations. **ii. Autonomous Cars** - These vehicles use data from sensors and cameras to navigate without human intervention, potentially improving road safety. **iii. Social Media** - AI analyzes user data for targeted advertising and personalized content delivery. **iv. Surveillance** - AI systems can detect suspicious behavior automatically in real-time. **v. Agriculture** - AI enhances farming through precision agriculture, pest detection, and soil monitoring. **vi. Customer Service** - It uses NLP to provide fast customer support, simulating human conversation. **vii. Healthcare** - AI aids in disease diagnosis, drug development, and assists in surgical procedures. **viii. Space Exploration** - AI processes vast amounts of data, supporting mission planning and navigation. **ix. Smart Homes** - AI technologies manage home security, automate chores, and monitor safety. **x. Banking** - AI detects fraudulent activities by analyzing transaction patterns. **xi. Search Engines** - AI improves search results and user query understanding through ranking algorithms and NLP. ### 2.2 Augmented Reality and Virtual Reality #### 2.2.1 Augmented Reality Augmented Reality (AR) enhances the real world by overlaying digital data onto physical objects, creating an interactive experience. Key hardware components include: - **Processor:** Handles data processing. - **Sensors:** Capture real-world input. - **Input Devices:** Allow user interaction. - **Display:** Can be smartphones, tablets, head-mounted displays (HMD), or smart glasses. AR operates by capturing images of real-world objects and processing relevant information to overlay virtual content, enriching user interaction. #### 2.2.2 Virtual Reality Virtual Reality (VR) creates a fully immersive three-dimensional environment, allowing users to interact with a simulated world. Key VR hardware includes: - **Goggles and Headsets:** Provide a visual interface. - **Sensors:** Track user movements. - **Input Devices:** Gloves or bodysuits enhance interactivity. VR environments adapt in real-time to user actions, creating an engaging experience distinct from the real world. #### Activity 2.4 1. **Training Examples:** Discuss various types of training (e.g., medical, military, vocational) that can utilize VR. 2. **Presentation Preparation:** Create a presentation on how your school can benefit from VR technologies. #### 2.2.3 The Difference between VR and AR While both AR and VR offer immersive experiences, they differ significantly: Augmented Reality Virtual Reality ----------------------------------- -------------------------------------- Operates in the real world Operates in a virtual world Partially immersive Fully immersive Users control real-world presence Users are controlled by the system Runs on familiar devices Requires specialized headsets Blends real and virtual worlds Exists solely in a simulated reality #### 2.2.4 Applications of VR and AR Both AR and VR have expansive applications across various sectors, including: - **Education:** - Facilitates interactive learning (e.g., historical events, organ systems). - Provides resources in resource-scarce environments. - Enables global connectivity among students. - **Healthcare:** - Offers risk-free surgical training. - Aids in non-invasive diagnosis. - Supports tele-surgery and helps manage patient stress during recovery. - **Entertainment:** - Enhances museum and art gallery experiences. - Creates immersive movie experiences. - Introduces new gaming interactions through AR. #### Activity 2.5 1. **Differences Discussion:** Summarize the distinctions between AR and VR. 2. **Class Discussion:** Compare the practicality of AR vs. VR in your context. Discuss features, benefits, and suggestions for improvement. ### 2.3 Data Science The exponential growth of data necessitates effective methods to leverage it. Data science blends tools, algorithms, and machine learning (ML) to extract valuable insights from vast datasets. **Key Aspects:** - **Big Data:** Characterized by volume, variety, and velocity, big data requires specialized processing methods. - **Applications:** Ranges from manufacturing demand forecasting to personalization on social media and risk management in businesses. Data scientists play a vital role in analyzing data and generating insights, although privacy concerns often arise due to the extensive collection and usage of personal data. Techniques such as data anonymization and generalization help address these issues, though they can limit insight depth.

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