This document discusses various techniques for determining system requirements during the analysis phase of the systems development life cycle. It describes traditional techniques like interviewing stakeholders individually and in groups, observing how users complete tasks, and analyzing existing business documents. Contemporary techniques discussed include joint application design sessions, using CASE tools and prototyping during requirements gathering. Radical reengineering methods and disruptive technologies are also covered. Finally, the document outlines how agile methodologies incorporate continual user involvement and usage-centered design practices for requirements determination.
The document discusses systems analysis and design methods. It defines systems analysis as decomposing a system into components to study how they work, while systems design reassembles components into an improved system. Model-driven development techniques use models to visualize problems, requirements, and designs. Common models include process models, data models, and object models. The document also discusses various analysis methods like prototyping, requirements discovery, and feasibility analysis.
This document discusses computer ethics and related issues in an information society. It introduces computer ethics as the analysis of technology's social impact and formulation of policies for ethical use. When new technologies are introduced, they can create ripple effects raising new ethical, social, and political issues on individual, social, and political levels regarding information rights, property rights, system quality, quality of life, and accountability. Engineers have a duty to evaluate risks of emergent technologies and promote public awareness of impacts. Common information technology issues like email, the web, and file sharing can enable both benefits and harms that challenge existing rules and norms. Studying professional ethics increases ability to recognize and address moral issues from technology.
This document discusses laws, regulations, ethics, and professional standards related to information security. It covers the differences between laws and ethics, types of laws, relevant US laws including the Computer Fraud and Abuse Act and laws around privacy like HIPAA. Organizational liability and the need for legal counsel are also addressed. The document provides an overview of key concepts for information security practitioners to understand their legal and ethical responsibilities.
The document provides an overview of software sizing and function point analysis (FPA). It discusses the need for software sizing to estimate size and manage projects. It introduces common sizing methodologies like lines of code and use cases. The bulk of the document then focuses on explaining FPA, including defining what a function point is, categorizing functional requirements into base components, assigning complexity ratings and counts, and determining an adjusted function point count using value adjustment factors.
The document contains slides from a lecture on software engineering. It discusses definitions of software and software engineering, different types of software applications, characteristics of web applications, and general principles of software engineering practice. The slides are copyrighted and intended for educational use as supplementary material for a textbook on software engineering.
This document discusses formal methods in software engineering. It defines formal methods as mathematically-based techniques for specifying, developing, and verifying computer systems in a systematic way. Formal methods use formal logic to model systems and prove that models satisfy requirements. The document provides an example of applying formal methods to specify a water tank system that refills when low. Key steps include: 1) defining types and functions, 2) stating properties as logical statements, and 3) constructing proofs to show properties hold for all cases.
Project on nypd accident analysis using hadoop environmentSiddharth Chaudhary
For this project NYC motor-vehicle-collisions dataset is processed in Hadoop ecosystem using map reduce, Pig script and Hive query for analysis and visualization.
This document outlines the learning objectives and content for a Systems Analysis and Design course. It covers logical modeling techniques including functional decomposition diagrams, use case diagrams, and data flow diagrams (DFDs). Students will learn to produce logical models using these techniques, including how to draw context diagrams, diagram 0 DFDs, and lower-level balanced and leveled DFDs. The document provides examples and exercises for students to practice applying these modeling skills.
The document discusses systems analysis and design methods. It defines systems analysis as decomposing a system into components to study how they work, while systems design reassembles components into an improved system. Model-driven development techniques use models to visualize problems, requirements, and designs. Common models include process models, data models, and object models. The document also discusses various analysis methods like prototyping, requirements discovery, and feasibility analysis.
This document discusses computer ethics and related issues in an information society. It introduces computer ethics as the analysis of technology's social impact and formulation of policies for ethical use. When new technologies are introduced, they can create ripple effects raising new ethical, social, and political issues on individual, social, and political levels regarding information rights, property rights, system quality, quality of life, and accountability. Engineers have a duty to evaluate risks of emergent technologies and promote public awareness of impacts. Common information technology issues like email, the web, and file sharing can enable both benefits and harms that challenge existing rules and norms. Studying professional ethics increases ability to recognize and address moral issues from technology.
This document discusses laws, regulations, ethics, and professional standards related to information security. It covers the differences between laws and ethics, types of laws, relevant US laws including the Computer Fraud and Abuse Act and laws around privacy like HIPAA. Organizational liability and the need for legal counsel are also addressed. The document provides an overview of key concepts for information security practitioners to understand their legal and ethical responsibilities.
The document provides an overview of software sizing and function point analysis (FPA). It discusses the need for software sizing to estimate size and manage projects. It introduces common sizing methodologies like lines of code and use cases. The bulk of the document then focuses on explaining FPA, including defining what a function point is, categorizing functional requirements into base components, assigning complexity ratings and counts, and determining an adjusted function point count using value adjustment factors.
The document contains slides from a lecture on software engineering. It discusses definitions of software and software engineering, different types of software applications, characteristics of web applications, and general principles of software engineering practice. The slides are copyrighted and intended for educational use as supplementary material for a textbook on software engineering.
This document discusses formal methods in software engineering. It defines formal methods as mathematically-based techniques for specifying, developing, and verifying computer systems in a systematic way. Formal methods use formal logic to model systems and prove that models satisfy requirements. The document provides an example of applying formal methods to specify a water tank system that refills when low. Key steps include: 1) defining types and functions, 2) stating properties as logical statements, and 3) constructing proofs to show properties hold for all cases.
Project on nypd accident analysis using hadoop environmentSiddharth Chaudhary
For this project NYC motor-vehicle-collisions dataset is processed in Hadoop ecosystem using map reduce, Pig script and Hive query for analysis and visualization.
This document outlines the learning objectives and content for a Systems Analysis and Design course. It covers logical modeling techniques including functional decomposition diagrams, use case diagrams, and data flow diagrams (DFDs). Students will learn to produce logical models using these techniques, including how to draw context diagrams, diagram 0 DFDs, and lower-level balanced and leveled DFDs. The document provides examples and exercises for students to practice applying these modeling skills.
The document discusses several models of human-computer interaction, including predictive models, Guiard's model of bimanual skill, and the Key-Action Model (KAM) of keyboard interaction. Guiard's model describes the different roles of the preferred and non-preferred hands in tasks. The KAM categorizes keyboard keys as symbol, executive, or modifier keys. Both models provide insights for interaction design, such as implementing scrolling with the non-preferred hand and distributing executive keys for both hands. Microsoft keyboards are cited as an example of applying these insights.
Project management and information technology contextDhani Ahmad
This chapter discusses the context in which IT projects operate, including:
- A systems view of project management that considers organizational, technological, and business factors.
- Organizational structures like functional, project, and matrix that influence how projects are run.
- The importance of organizational culture and stakeholder management for a project's success.
- The concept of project phases and life cycles, and how development projects differ from product development.
- How standards, governance, and senior management commitment are critical to supporting IT projects.
This document provides an introduction to computing. It defines a computer as an electronic machine that can accept input data, manipulate the data according to programmed instructions, store the output, and provide results. The document outlines the key characteristics of computers, including their ability to work quickly and accurately without breaks. It also discusses the advantages and disadvantages of computer usage. Additionally, it defines data and information, comparing their differences, and describes the main types of computers as analog, digital, and hybrid. The document concludes by explaining that computers are digital machines that use binary digits to process information.
Introduction to Software Project ManagementSaadi Jadoon
Project management software is software used for project planning, scheduling, resource allocation and change management. It allows project managers (PMs), stakeholders and users to control costs and manage budgeting, quality management and documentation and also may be used as an administration system.
This document discusses IT infrastructure and platforms. It defines IT infrastructure as including hardware, software, and services that allow an enterprise to operate. Infrastructure is discussed at three levels: public, enterprise, and business unit. The evolution of IT infrastructure from the 1950s to present is examined. Key technology drivers of infrastructure evolution are also identified, such as Moore's Law. Contemporary trends in computer hardware and software platforms are then assessed.
The document contains slides from a lecture on software engineering process models. It discusses the waterfall model, V-model, incremental model and evolutionary models. The waterfall model follows sequential phases from requirements to maintenance without overlap. The V-model pairs each development phase with a testing phase. The incremental model combines linear and parallel activities to deliver software in increments. Evolutionary models take an iterative approach where software evolves over time through incremental improvements.
This document contains multiple choice questions about data, information, and information systems. It covers topics like the definitions of data and information, different types of information needed at strategic, tactical, and operational levels, and how information systems are used to process and store data and information. The questions test understanding of these concepts and how they are applied in different organizational contexts like manufacturing, healthcare, and other industries.
The document discusses software architecture design. It defines software architecture as the structure of components, relationships between components, and properties of components. An architectural design model can be applied to other systems and represents predictable ways to describe architecture. The architecture represents a system and enables analysis of effectiveness in meeting requirements and reducing risks. Key aspects of architectural design include communication between stakeholders, controlling complexity, consistency, reducing risks, and enabling reuse. Common architectural styles discussed include data-centered, data flow, call-and-return, object-oriented, and layered architectures.
This document summarizes the history and evolution of information security from its origins during World War II to the present day. It describes how computer security began with early mainframes and military applications, then expanded to include networking and the internet. Key developments included the ARPANET, identification of security issues in the 1970s/80s, growth of hacking conferences in the 1990s, and increased threats of cyber attacks in modern times. The document also defines core information security concepts.
The document discusses several prescriptive software process models including:
1) The waterfall model which follows sequential phases from requirements to deployment but lacks iteration.
2) The incremental model which delivers functionality in increments with each phase repeated.
3) Prototyping which focuses on visible aspects to refine requirements through iterative prototypes and feedback.
4) The RAD (Rapid Application Development) model which emphasizes very short development cycles of 60-90 days using parallel teams and automated tools. The document provides descriptions and diagrams of each model.
The document discusses software process models for different project scenarios:
1. For building a larger, more complex application similar to previous projects where requirements are documented, the prototype model would be used to develop the application in increments and allow additions as needed.
2. For integrating departments within a university onto one system to accommodate all processes, the component model would be chosen to reuse existing components, modify requirements, and design the system to incorporate components while developing new software as needed to meet the timeline.
3. For developing the next version of word processing software with tight deadlines, the RAD (Rapid Application Development) model would be selected to allow parallel team work on components to meet the schedule.
4.
Chapter07 determining system requirementsDhani Ahmad
This document discusses various methods for determining system requirements, including interviews, questionnaires, observation, document analysis, Joint Application Design (JAD), prototyping, and business process reengineering (BPR). Interviews can use open-ended or close-ended questions, and preparation is important. Questionnaires must be carefully designed and can include both open-ended and close-ended questions. JAD brings together key stakeholders to simultaneously collect requirements. Prototyping converts early requirements into a working system for user feedback. BPR aims to radically improve processes through reorganization and leveraging disruptive technologies.
Essbase On-Prem to Oracle Analytics Cloud - How, When, and WhyDatavail
In this presentation, you will get insight into the benefits of upgrading vs. moving to the cloud, scenarios and case studies from our recent years of experience, and how moving to the cloud might affect your budgeting, software updates & patches, existing investments, licensing costs, and more.
The document introduces Oracle Hyperion Planning and its suite of Oracle planning products, highlighting how it improves the planning process by shortening cycles, improving predictability, and leveraging intellectual capital. It provides an overview of Hyperion Planning and its modules for financial, workforce, capital asset, and operational planning, as well as its integration capabilities. Contact information is given for Finit Solutions, an Oracle partner that can provide expertise on Oracle/Hyperion products.
This chapter discusses the transition from systems analysis to systems design. It covers selecting the best alternative design strategy by generating multiple design strategies and selecting the optimal one. The chapter also discusses software development options like in-house development, outsourcing, and purchasing off-the-shelf software. Prototyping is presented as an important part of the transition to allow users to evaluate a working model early in the design process.
This document discusses techniques for gathering software requirements, including interviews, workshops, observations, questionnaires, and document analysis. It outlines direct and indirect data collection methods, and levels of requirements from business goals to use cases. Stakeholder involvement at each level is described. The iterative nature of requirements elicitation and management is emphasized. Effective elicitation requires understanding stakeholders, crafting questions, and documenting open issues for future refinement.
The document discusses various tools used in system analysis and design including system flow charts, data flow diagrams, and data dictionaries. A system flow chart outlines the events and responsibilities in a system using standard symbols connected by arrows. A data flow diagram shows the processes, data, data storage, and data flow in and out of the system. A data dictionary is a central repository of all elements used in a system.
The document summarizes the key activities and objectives of the analysis phase of the systems development life cycle (SDLC). It discusses gathering requirements through fact-finding methods like interviews, observations, prototypes, and questionnaires. The analysis phase involves understanding business needs, processes, and operations to define functional and non-functional system requirements. Analysts work with various stakeholders to investigate and validate requirements.
The document discusses several models of human-computer interaction, including predictive models, Guiard's model of bimanual skill, and the Key-Action Model (KAM) of keyboard interaction. Guiard's model describes the different roles of the preferred and non-preferred hands in tasks. The KAM categorizes keyboard keys as symbol, executive, or modifier keys. Both models provide insights for interaction design, such as implementing scrolling with the non-preferred hand and distributing executive keys for both hands. Microsoft keyboards are cited as an example of applying these insights.
Project management and information technology contextDhani Ahmad
This chapter discusses the context in which IT projects operate, including:
- A systems view of project management that considers organizational, technological, and business factors.
- Organizational structures like functional, project, and matrix that influence how projects are run.
- The importance of organizational culture and stakeholder management for a project's success.
- The concept of project phases and life cycles, and how development projects differ from product development.
- How standards, governance, and senior management commitment are critical to supporting IT projects.
This document provides an introduction to computing. It defines a computer as an electronic machine that can accept input data, manipulate the data according to programmed instructions, store the output, and provide results. The document outlines the key characteristics of computers, including their ability to work quickly and accurately without breaks. It also discusses the advantages and disadvantages of computer usage. Additionally, it defines data and information, comparing their differences, and describes the main types of computers as analog, digital, and hybrid. The document concludes by explaining that computers are digital machines that use binary digits to process information.
Introduction to Software Project ManagementSaadi Jadoon
Project management software is software used for project planning, scheduling, resource allocation and change management. It allows project managers (PMs), stakeholders and users to control costs and manage budgeting, quality management and documentation and also may be used as an administration system.
This document discusses IT infrastructure and platforms. It defines IT infrastructure as including hardware, software, and services that allow an enterprise to operate. Infrastructure is discussed at three levels: public, enterprise, and business unit. The evolution of IT infrastructure from the 1950s to present is examined. Key technology drivers of infrastructure evolution are also identified, such as Moore's Law. Contemporary trends in computer hardware and software platforms are then assessed.
The document contains slides from a lecture on software engineering process models. It discusses the waterfall model, V-model, incremental model and evolutionary models. The waterfall model follows sequential phases from requirements to maintenance without overlap. The V-model pairs each development phase with a testing phase. The incremental model combines linear and parallel activities to deliver software in increments. Evolutionary models take an iterative approach where software evolves over time through incremental improvements.
This document contains multiple choice questions about data, information, and information systems. It covers topics like the definitions of data and information, different types of information needed at strategic, tactical, and operational levels, and how information systems are used to process and store data and information. The questions test understanding of these concepts and how they are applied in different organizational contexts like manufacturing, healthcare, and other industries.
The document discusses software architecture design. It defines software architecture as the structure of components, relationships between components, and properties of components. An architectural design model can be applied to other systems and represents predictable ways to describe architecture. The architecture represents a system and enables analysis of effectiveness in meeting requirements and reducing risks. Key aspects of architectural design include communication between stakeholders, controlling complexity, consistency, reducing risks, and enabling reuse. Common architectural styles discussed include data-centered, data flow, call-and-return, object-oriented, and layered architectures.
This document summarizes the history and evolution of information security from its origins during World War II to the present day. It describes how computer security began with early mainframes and military applications, then expanded to include networking and the internet. Key developments included the ARPANET, identification of security issues in the 1970s/80s, growth of hacking conferences in the 1990s, and increased threats of cyber attacks in modern times. The document also defines core information security concepts.
The document discusses several prescriptive software process models including:
1) The waterfall model which follows sequential phases from requirements to deployment but lacks iteration.
2) The incremental model which delivers functionality in increments with each phase repeated.
3) Prototyping which focuses on visible aspects to refine requirements through iterative prototypes and feedback.
4) The RAD (Rapid Application Development) model which emphasizes very short development cycles of 60-90 days using parallel teams and automated tools. The document provides descriptions and diagrams of each model.
The document discusses software process models for different project scenarios:
1. For building a larger, more complex application similar to previous projects where requirements are documented, the prototype model would be used to develop the application in increments and allow additions as needed.
2. For integrating departments within a university onto one system to accommodate all processes, the component model would be chosen to reuse existing components, modify requirements, and design the system to incorporate components while developing new software as needed to meet the timeline.
3. For developing the next version of word processing software with tight deadlines, the RAD (Rapid Application Development) model would be selected to allow parallel team work on components to meet the schedule.
4.
Chapter07 determining system requirementsDhani Ahmad
This document discusses various methods for determining system requirements, including interviews, questionnaires, observation, document analysis, Joint Application Design (JAD), prototyping, and business process reengineering (BPR). Interviews can use open-ended or close-ended questions, and preparation is important. Questionnaires must be carefully designed and can include both open-ended and close-ended questions. JAD brings together key stakeholders to simultaneously collect requirements. Prototyping converts early requirements into a working system for user feedback. BPR aims to radically improve processes through reorganization and leveraging disruptive technologies.
Essbase On-Prem to Oracle Analytics Cloud - How, When, and WhyDatavail
In this presentation, you will get insight into the benefits of upgrading vs. moving to the cloud, scenarios and case studies from our recent years of experience, and how moving to the cloud might affect your budgeting, software updates & patches, existing investments, licensing costs, and more.
The document introduces Oracle Hyperion Planning and its suite of Oracle planning products, highlighting how it improves the planning process by shortening cycles, improving predictability, and leveraging intellectual capital. It provides an overview of Hyperion Planning and its modules for financial, workforce, capital asset, and operational planning, as well as its integration capabilities. Contact information is given for Finit Solutions, an Oracle partner that can provide expertise on Oracle/Hyperion products.
This chapter discusses the transition from systems analysis to systems design. It covers selecting the best alternative design strategy by generating multiple design strategies and selecting the optimal one. The chapter also discusses software development options like in-house development, outsourcing, and purchasing off-the-shelf software. Prototyping is presented as an important part of the transition to allow users to evaluate a working model early in the design process.
This document discusses techniques for gathering software requirements, including interviews, workshops, observations, questionnaires, and document analysis. It outlines direct and indirect data collection methods, and levels of requirements from business goals to use cases. Stakeholder involvement at each level is described. The iterative nature of requirements elicitation and management is emphasized. Effective elicitation requires understanding stakeholders, crafting questions, and documenting open issues for future refinement.
The document discusses various tools used in system analysis and design including system flow charts, data flow diagrams, and data dictionaries. A system flow chart outlines the events and responsibilities in a system using standard symbols connected by arrows. A data flow diagram shows the processes, data, data storage, and data flow in and out of the system. A data dictionary is a central repository of all elements used in a system.
The document summarizes the key activities and objectives of the analysis phase of the systems development life cycle (SDLC). It discusses gathering requirements through fact-finding methods like interviews, observations, prototypes, and questionnaires. The analysis phase involves understanding business needs, processes, and operations to define functional and non-functional system requirements. Analysts work with various stakeholders to investigate and validate requirements.
This chapter introduces systems analysis and design. It defines systems analysis as the process of implementing and operating an information system, which requires knowledge of an organization's objectives, structure, and processes. It describes the basic components of a system, including boundaries, inputs, outputs, and interrelationships. The chapter also outlines different types of systems like transaction processing systems, management information systems, and decision support systems. It discusses the role of the systems analyst and the evolution of systems development methodologies.
This document discusses decision support systems and business intelligence. It covers the changing business environment that necessitates computerized decision support. It defines decision support systems and describes their evolution into broader business intelligence approaches. The key components of decision support systems and business intelligence architectures are also outlined, including data warehouses, analytics, and user interfaces. Various types of decision support systems and styles of business intelligence are described.
The document outlines the key stages of a system development cycle project, including planning, design, implementation, testing and maintenance. It discusses project management principles and describes tools used at each stage such as data flow diagrams, decision trees and documentation. Testing involves verifying hardware, software and backups are functioning as intended. Implementation may use direct, parallel, phased or pilot conversion methods. Overall the document provides guidance on managing an information systems project from start to finish.
The document outlines the key stages of a system development cycle project, including planning, design, implementation, testing and maintenance. It discusses project management principles and describes tools used at each stage such as data flow diagrams, decision trees and documentation. Testing involves verifying hardware, software and backups are functioning as intended. Implementation may use direct, parallel, phased or pilot conversion methods. Overall the document provides guidance on managing an information systems project from start to finish.
The document outlines the key stages of a system development cycle project, including planning, design, implementation, testing and maintenance. It discusses project management principles and describes tools used at each stage such as data flow diagrams, decision trees and documentation. Testing involves verifying hardware, software and backups are functioning as intended. Implementation may use direct, parallel, phased or pilot conversion methods. Overall the document provides guidance on managing an information systems project from start to finish.
Enabling role of information technology in bpmdutconsult
The document discusses various traditional and modern methods for determining requirements for a new information system. Traditional methods include interviewing users, administering questionnaires, observing users, and analyzing existing documents. Modern methods discussed are joint application design (JAD) sessions, prototyping, and business process reengineering (BPR). It also outlines the role of information technology as both an enabler and potential inhibitor of successful requirements determination and business process improvement.
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
The document provides an introduction to knowledge engineering and outlines the typical process. It discusses that knowledge engineering involves building intelligent knowledge-based systems and is an iterative process. The key phases outlined are: 1) problem assessment to define the problem, participants, objectives and resources, 2) data and knowledge acquisition involving collecting and analyzing information from experts, 3) developing a prototype system to test understanding, 4) developing a complete system, 5) evaluation and revision of the system based on testing, and 6) integration and maintenance of the system once completed. The goal of each phase and typical activities involved are described at a high-level.
The document discusses evaluation methods for human-computer interaction (HCI) systems. It defines evaluation as the determination of value through careful appraisal and study. Evaluation is important for providing feedback to improve system design through iterative development. Formative evaluation is conducted during development, while summative evaluation occurs after completion to ensure quality standards are met. Heuristic evaluation involves experts evaluating an interface according to usability principles. Other methods discussed include cognitive walkthroughs, pluralistic walkthroughs, surveys, interviews, and experiments.
The document discusses requirements analysis techniques including interviews, JAD sessions, questionnaires, document analysis and observation. It describes strategies for requirements analysis like business process automation, improvement and reengineering. Finally, it explains that the system proposal is the result of planning and analysis phases and includes an executive summary, requirements definition and system models.
Process Redesign or Improvement Approach OptionsChief Innovation
The attached is a file showing possible approaches to improving or redesigning a process. It is an overview and comparison of 6 different ways one could approach this or engage a consultant to do so.
This document discusses the analysis phase of a system development project. It covers determining system requirements through requirement elicitation techniques like interviews, questionnaires, documentation analysis and observation. It also discusses modeling system requirements through process modeling using data flow diagrams, logic modeling using structured English and decision trees, and data modeling using entity relationship diagrams. The analysis phase aims to understand user needs and develop a concept for the new system by investigating the current system, identifying improvement opportunities, and specifying requirements in detail.
This document outlines the diagnostic process in organization development. It discusses gathering data through methods like surveys, interviews, and observations. Key steps in diagnosis include identifying problems, collecting and analyzing data, identifying problem areas, and determining if the client is motivated to address issues. Diagnostic models can help analyze structures, cultures, and behaviors, such as the analytical, emergent group behavior, sociotechnical systems, and force-field models. The goal of diagnosis is to understand the current state of an organization and provide a basis for selecting change strategies.
This document discusses the roles and methodologies of systems analysts. It covers the following key points:
1) Systems analysts address various types of computer systems and help integrate new technologies. They take on roles as consultants, experts, and agents of change.
2) The systems development life cycle (SDLC) is a phased approach used by analysts to solve business problems. It includes phases for requirements gathering, design, implementation, and maintenance.
3) Analysts must consider human-computer interaction factors and employ techniques like interviewing, prototyping, and observation to determine user requirements and analyze system needs.
The document outlines the key concepts in systems analysis and design including:
1) It defines systems, analysis, and design and describes the role of the systems analyst in performing analysis and design to improve existing systems.
2) It describes the principal phases of the systems development life cycle including preliminary investigation, analysis, design, development, implementation, and ongoing maintenance.
3) It provides an overview of various tools used in systems analysis and design like entity relationship diagrams, data flow diagrams, documentation, and prototypes.
Systems analysis involves separating a business system into subsystems and examining the parts in detail. A systems analyst performs tasks grouped into 5 areas as part of analyzing a system. These include planning the approach, gathering information, interpreting the information, specifying requirements, and producing reports. The analysis aims to understand objectives, constraints, potential problems, and information needs to prepare an effective analysis.
The document discusses the systems development life cycle (SDLC) and approaches to system development. It describes the phases of the SDLC as including planning, analysis, design, implementation, and support. Projects can use a predictive or adaptive approach to the SDLC. Current trends incorporate agile methods like Extreme Programming, the Unified Process, Agile Modeling, and Scrum. Methodologies utilize models, techniques, and tools to guide activities in each SDLC phase.
This chapter discusses designing distributed and internet systems. It covers key topics like client/server architecture, local area networks, distributed databases, and middleware. It compares file server and client/server environments. It also discusses designing systems for local area networks and client/server architectures. Additional topics include standards for internet systems, online transaction processing, online analytical processing, data warehousing, and three-tier architectures.
Here are the normalized relations that could be created from the patient bill information:
PATIENT(Patient#, PatientName, PatientAddress, CityStateZip)
ADMISSION(Patient#, DateAdmitted, DischargeDate)
COSTCENTER(CostCenter, CostName)
BILLING(Patient#, Date, CostCenter, ItemCode, ItemDescription, Charge, BalanceDue)
The key steps taken were:
1) Identify entities from the data (Patient, Admission, Cost Center)
2) Create relations for each entity with the identifying attributes as the primary key
3) Identify the relationship between entities (Patient to Admission is 1:1, Patient to Billing is
This document provides an overview of database design concepts and processes. It defines key terms related to database design and explains the role of database design in the systems development process. The document outlines the logical and physical database design processes. Logical database design involves normalization to eliminate redundancies from relations. Physical database design involves mapping the logical design to database tables through choices about field formats, record structures, storage media, and access methods.
This document discusses conceptual data modeling for systems analysis. It defines key terms like entity, attribute, relationship and cardinality. It explains how to develop an entity-relationship diagram to represent business data and gather requirements. The document provides examples of unary, binary and ternary relationships. It also covers naming entities and attributes, identifying keys, and defining relationship cardinalities in an ER diagram.
This document discusses process modeling and data flow diagrams (DFDs). It covers:
1) The key components of DFDs - processes, data stores, data flows, and external entities.
2) Guidelines for developing DFDs at different levels, including context diagrams, level-0 diagrams, and lower level decomposed diagrams.
3) Rules for drawing DFDs such as inputs not equaling outputs and unique naming of components.
4) How DFDs can be used as analysis tools to identify gaps and inefficiencies in systems.
This document provides an overview of the project initiation and planning process for systems development projects. It describes the key deliverables and outcomes of this process, including developing a business case, baseline project plan, and project scope statement. It also covers assessing project feasibility from economic, technical, operational, scheduling, legal and other standpoints. Methods for evaluating project benefits, costs, risks and determining economic feasibility like cost-benefit analysis are explained. The time value of money concepts and techniques for reviewing and finalizing the baseline project plan like structured walkthroughs are also outlined.
This document discusses key aspects of managing information systems projects, including:
- The importance of project management in meeting expectations and constraints.
- Using a System Service Request form to propose new systems development work.
- Conducting feasibility studies to determine if proposed systems make economic sense.
- Dividing projects into phases of initiation, planning, execution, and closeout with key activities in each phase like creating plans and monitoring progress.
- Techniques for representing and scheduling projects like Gantt charts, network diagrams, and critical path scheduling.
This document provides an overview of systems analysis and design methodologies. It describes the traditional Systems Development Life Cycle (SDLC) process including planning, analysis, design, implementation, and maintenance phases. The document also discusses more modern agile methodologies like Rapid Application Development (RAD) and eXtreme Programming which incorporate prototyping and iterative development. Object-Oriented Analysis and Design (OOAD) is covered as well as tools like Computer-Aided Software Engineering (CASE) that support systems analysis and design.
Android is an open-source operating system used by many manufacturers for phones and tablets. It was founded in 2003 by Andy Rubin to create smarter mobile devices aware of users' preferences and locations. Android is powered by the Linux kernel and allows flexibility through options from global partners. The evolution of Android saw versions like KitKat in 2007 and Android L Developer Preview in 2014.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake