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These flashcards cover the key concepts and terminology related to Information Systems 511, providing a study aid for understanding the essentials of information systems, artificial intelligence, data management, cybersecurity, and ethical concerns.
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What is an information system?
An information system is a combination of technology and processes that gather, store, process, and provide information to support decision-making and operations within an organization.
Key components of an information system
People, software, hardware, data, procedures, and communication networks that interact to manage information.
Role of computers in information systems
Computers serve as the backbone of information systems, performing input, processing, output, and storage operations.
Definition of data processing life cycle
The stages of processing data, including input, processing, output, and storage that turn raw data into meaningful information.
Difference between information literacy and computer literacy
Information literacy is the ability to effectively identify, locate, evaluate, and use information while computer literacy refers to the ability to operate and understand computers.
Types of computer software
Software can be categorized into system software, application software, and programming software.
What is cloud storage?
A service that allows users to store data remotely on the internet, facilitating access from any device with an internet connection.
Examples of input devices
Keyboard, mouse, scanner, microphone, and camera.
Examples of output devices
Monitor, printer, speakers, and projector.
What is Artificial Intelligence?
AI refers to the design and development of computer systems capable of performing tasks that traditionally require human intelligence.
Main types of Artificial Intelligence
Narrow AI (Weak AI) focuses on specific tasks, whereas General AI (Strong AI) aims to perform any cognitive task a human can.
What is data governance?
A formal approach to managing data to ensure its accuracy, security, and accessibility within an organization.
What is a knowledge management system?
A system that helps organizations manage and share knowledge effectively, ensuring that valuable information and expertise are preserved.
Characteristics of Big Data
Big Data is characterized by volume (huge amounts of data), velocity (high speed of data processing), and variety (different types of data).
What is a data warehouse?
A centralized repository that stores large volumes of historical data organized by subject, facilitating analysis and reporting.
Importance of user access controls in information systems
User access controls ensure that only authorized individuals can access sensitive data, preventing unauthorized data breaches.
Data normalization
The process of organizing a database to reduce redundancy and improve data integrity.
Benefits of AI in information systems
AI enhances data processing, supports intelligent decision-making, automates tasks, and provides predictive analytics.
Ethical concerns in AI implementation
Issues related to bias, privacy, accountability, and transparency in AI systems.
What is cybersecurity?
The practice of protecting systems, networks, and programs from digital attacks that aim to access, change, or destroy sensitive information.
What does a digital signature do?
Verifies the authenticity and integrity of a message or document by encrypting a hash of the message.
What are types of software licenses?
Proprietary, open-source, freeware, and Software as a Service (SaaS).
What is Robotic Process Automation (RPA)?
Technology that automates routine, rule-based tasks typically performed by human employees using software robots.
What is the purpose of intrusion detection systems (IDS)?
To monitor network traffic for suspicious activities and potential threats, allowing for timely responses to cybersecurity incidents.
What is the function of a firewall?
A security system that monitors and controls incoming and outgoing network traffic based on predetermined security rules.
What is machine learning?
A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.