This document discusses software project management and covers topics like management activities, project planning, project scheduling, and risk management. It explains that project management aims to deliver software on time and on budget according to requirements. Software projects have distinctive characteristics as the product is intangible and flexible. Project planning involves establishing constraints, assessing parameters, defining milestones, and regularly revising plans. Risk management involves identifying risks, analyzing their likelihood and impact, planning strategies to mitigate risks, and monitoring risks throughout the project.
This document summarizes key topics in software project management from a chapter of a software engineering textbook, including: the objectives of software project management; management activities like planning, scheduling, and risk management; distinctions of software projects; the project planning and scheduling processes; and techniques for representing schedules and identifying/managing risks. It provides an overview of these topics through text and examples across 27 slides.
This document discusses key aspects of software project management from Ian Sommerville's Software Engineering textbook. It covers objectives of project management, including planning, scheduling, and risk management. It also describes distinctive characteristics of software projects, such as intangible products and flexible requirements. Project management aims to deliver software on time and on budget by establishing plans, estimating timelines, and identifying/mitigating risks.
This document summarizes key points from Chapter 4 of Ian Sommerville's Software Engineering textbook. It discusses project management, including planning, scheduling, risk management, and the distinctive challenges of managing software projects. Specifically, it notes that good project management is essential for success, planning and estimating are iterative processes, and risk management involves identifying and mitigating potential threats to the project.
This document discusses the key topics of software project management including project planning, scheduling, and risk management. It covers the objectives of project management in ensuring software is delivered on time and within budget. Project planning is an iterative process involving establishing constraints, assessing parameters, defining milestones, and regularly revising schedules. Risk management involves identifying potential risks, analyzing their likelihood and impact, planning strategies to mitigate risks, and monitoring risks throughout the project.
This document discusses the key topics of software project management including project planning, scheduling, and risk management. It provides objectives for project managers to explain main tasks, introduce software project management, describe its characteristics, discuss planning processes and use of graphical schedules, and manage risks. Specific management activities are outlined, as well as commonalities with engineering project management. Project planning, scheduling, and risk identification, analysis, planning, and monitoring processes are defined.
This document summarizes a chapter on software project management from a software engineering textbook. It discusses the objectives of project management, which include delivering software on time and on budget. It also describes some distinctions of managing software projects compared to other engineering disciplines. Additionally, it covers key project management activities like planning, scheduling, and risk management. Graphical representations are used to illustrate project schedules and dependencies between tasks.
This chapter discusses software project management. It covers topics such as management activities, project planning, project scheduling, and risk management. Project management is needed to ensure software is delivered on time, on schedule, and according to requirements. It involves organizing, planning and scheduling software projects. The chapter discusses the distinctive characteristics of software projects and compares them to other engineering projects. It also explains the project planning process, different types of project plans, scheduling techniques like bar charts and activity networks, and the risk management process of identifying, analyzing, planning for, and monitoring risks.
This document discusses key aspects of software project management. It covers management activities like planning, scheduling, risk management. Effective project planning is important as it involves estimating tasks, organizing work, identifying dependencies, and monitoring progress. Scheduling tools like bar charts and activity networks are used to represent the project schedule graphically. Estimating work and unexpected events present challenges to project planning and scheduling.
This document summarizes key topics in software project management from a chapter of a software engineering textbook, including: the objectives of software project management; management activities like planning, scheduling, and risk management; distinctions of software projects; the project planning and scheduling processes; and techniques for representing schedules and identifying/managing risks. It provides an overview of these topics through text and examples across 27 slides.
This document discusses key aspects of software project management from Ian Sommerville's Software Engineering textbook. It covers objectives of project management, including planning, scheduling, and risk management. It also describes distinctive characteristics of software projects, such as intangible products and flexible requirements. Project management aims to deliver software on time and on budget by establishing plans, estimating timelines, and identifying/mitigating risks.
This document summarizes key points from Chapter 4 of Ian Sommerville's Software Engineering textbook. It discusses project management, including planning, scheduling, risk management, and the distinctive challenges of managing software projects. Specifically, it notes that good project management is essential for success, planning and estimating are iterative processes, and risk management involves identifying and mitigating potential threats to the project.
This document discusses the key topics of software project management including project planning, scheduling, and risk management. It covers the objectives of project management in ensuring software is delivered on time and within budget. Project planning is an iterative process involving establishing constraints, assessing parameters, defining milestones, and regularly revising schedules. Risk management involves identifying potential risks, analyzing their likelihood and impact, planning strategies to mitigate risks, and monitoring risks throughout the project.
This document discusses the key topics of software project management including project planning, scheduling, and risk management. It provides objectives for project managers to explain main tasks, introduce software project management, describe its characteristics, discuss planning processes and use of graphical schedules, and manage risks. Specific management activities are outlined, as well as commonalities with engineering project management. Project planning, scheduling, and risk identification, analysis, planning, and monitoring processes are defined.
This document summarizes a chapter on software project management from a software engineering textbook. It discusses the objectives of project management, which include delivering software on time and on budget. It also describes some distinctions of managing software projects compared to other engineering disciplines. Additionally, it covers key project management activities like planning, scheduling, and risk management. Graphical representations are used to illustrate project schedules and dependencies between tasks.
This chapter discusses software project management. It covers topics such as management activities, project planning, project scheduling, and risk management. Project management is needed to ensure software is delivered on time, on schedule, and according to requirements. It involves organizing, planning and scheduling software projects. The chapter discusses the distinctive characteristics of software projects and compares them to other engineering projects. It also explains the project planning process, different types of project plans, scheduling techniques like bar charts and activity networks, and the risk management process of identifying, analyzing, planning for, and monitoring risks.
This document discusses key aspects of software project management. It covers management activities like planning, scheduling, risk management. Effective project planning is important as it involves estimating tasks, organizing work, identifying dependencies, and monitoring progress. Scheduling tools like bar charts and activity networks are used to represent the project schedule graphically. Estimating work and unexpected events present challenges to project planning and scheduling.
This document discusses software project management. It covers topics such as project planning, scheduling, risk management, and staff allocation. Specifically, it describes the common management activities involved in software projects, including proposal writing, planning, costing, monitoring, and reporting. It emphasizes that project planning is an ongoing and iterative process from initial concept through system delivery. Risk management aims to identify potential risks and develop contingency plans to minimize their impact. The document provides examples of risk analysis and how to assess the probability and potential effects of different risks.
This document discusses software cost estimation and different techniques for estimating software costs. It covers topics like software cost components, metrics for assessing software productivity like lines of code and function points, and challenges with measurement. It also describes different estimation techniques like top-down and bottom-up, and how changing technologies can impact estimates. The document emphasizes that estimation requires using multiple techniques and that "pricing to win" may be necessary when information is limited.
This document provides an overview of software cost estimation and the COCOMO model. It discusses objectives of estimation, different estimation techniques like algorithmic modeling and expert judgment. Productivity measures like function points and object points are introduced. The COCOMO 2 model is described, including its application composition, early design, reuse, and post-architecture models to provide increasingly detailed estimates. Multipliers in the early design model are outlined. The reuse model accounts for black-box and white-box code integration.
This document summarizes the key topics from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering and explains its importance in developed economies. It discusses what software engineering entails, how it differs from computer science and system engineering. It also covers software processes and models, costs of software development, methods and CASE tools. Finally, it discusses professional responsibilities and ethical issues for software engineers.
This document discusses project management for software development projects. It covers topics such as the need for project management due to budget and schedule constraints. It also discusses distinguishing aspects of software project management compared to other engineering disciplines. Additional topics covered include project planning activities like proposal writing, scheduling, and reviews. It discusses challenges like estimating tasks, scheduling dependencies, and allocating staff. It also covers risk management activities like identifying risks, analyzing risks, planning strategies to address risks, and monitoring risks throughout the project.
This document introduces software engineering and discusses its importance. It explains that software engineering is concerned with the systematic development of software and aims for cost-effective and reliable results. It addresses common questions about software, processes, methods and challenges. It emphasizes that software engineers have ethical responsibilities to act with integrity, protect intellectual property and not misuse systems.
This document discusses key aspects of project management for software development projects. It covers objectives of project management including planning, scheduling, and risk management. Software project management aims to deliver software on time and on budget. The document outlines management activities, software project distinctions, and introduces concepts like project planning, scheduling using bar charts and networks, risk identification and analysis, and risk management strategies.
This document discusses techniques for estimating the cost of software projects. It explains that software cost estimation aims to predict the effort, time and total cost required. The key components of software costs are outlined as labor costs, hardware/software costs, and overhead costs. The document then examines various techniques for measuring programmer productivity and estimating project size, including lines of code, function points, and object points. Finally, it analyzes different estimation techniques like algorithmic modeling, expert judgment, analogy, and top-down vs. bottom-up approaches.
This document discusses rapid software development methods. It covers agile development methods like extreme programming (XP), which uses practices like test-driven development, pair programming, and frequent releases. XP emphasizes customer involvement, handling changing requirements, and maintaining simple code. Rapid application development and prototyping are also discussed. Prototypes help explore requirements and design but are discarded, while RAD relies on tools to quickly build database-driven business applications. The document compares incremental development, which starts with best-understood requirements, to throw-away prototyping, which starts with least-understood requirements.
This document summarizes key topics from Chapter 4 of Ian Sommerville's Software Engineering textbook, including software process models, generic process models like waterfall, evolutionary development and component-based development, process activities like requirements engineering, design, implementation, validation and evolution. It also describes the Rational Unified Process model and the role of computer-aided software engineering tools in supporting software processes.
This document summarizes key topics from Chapter 1 of Ian Sommerville's Software Engineering textbook, 7th edition. It introduces software engineering, explaining that it is concerned with theories, methods and tools for professional software development. It also addresses frequently asked questions about software engineering, including definitions of software, the software engineering process, costs of software engineering, and challenges in the field.
The document discusses software engineering and process models. It defines software engineering as the application of systematic and quantifiable approaches to software development, operation and maintenance. It describes software as computer programs, data structures and documentation.
It then discusses characteristics of software such as it being engineered not manufactured, not wearing out over time, and continuing to be custom built in most cases. It also discusses the software engineering layers including the process, method and tools layers.
Finally, it discusses the software process as a framework involving key activities like communication, planning, modeling, construction and deployment. It explains the generic process model and how activities are populated by actions and tasks to produce work products.
This document discusses methods for rapid software development. It covers topics like agile methods, extreme programming, rapid application development, and software prototyping. Some key points made are:
- Rapid development is needed to quickly respond to changing business needs, even if it means lower initial quality.
- Agile methods focus on iterative development and early delivery of working software that can evolve rapidly based on changing requirements.
- Rapid application development uses tools that facilitate rapid creation of interfaces and reports linked to a database.
- Visual programming allows rapid prototyping through a graphical interface but can cause coordination and maintenance issues for large projects.
Lec01 inroduction to software cost estimation ver1.pptJuwieKaren
This document discusses software cost estimation and productivity measurement. It covers fundamental estimation questions around effort, time and costs. Software cost components include hardware, software, travel, training and effort costs. Productivity can be measured in lines of code, function points or object points. The document also discusses challenges in estimation and productivity comparisons related to language level, quality, and changing requirements.
This document summarizes key topics from the first chapter of Ian Sommerville's Software Engineering textbook, 7th edition. It introduces software engineering, explaining its importance and how economies depend on software. Software engineering aims to develop software using systematic methods and tools. The document discusses what software is, differences between software engineering and computer science, software processes and models, costs of software engineering, and professional responsibilities of software engineers.
This document summarizes key concepts from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering as an engineering discipline concerned with all aspects of software production. It discusses the objectives of software engineering, topics covered like frequently asked questions and professional responsibility. It also summarizes concepts like the software development process, methods, costs and challenges in the field.
The document provides an introduction to software engineering and process models. It defines key terms like software, software engineering, and characteristics of software. It then discusses software engineering as a layered technology with process, method, and tools layers. The document also explains the software process as consisting of five generic activities - communication, planning, modeling, construction, and deployment. It provides examples and definitions for each activity. Finally, it asks exam questions related to defining software engineering and explaining it as a layered technology.
This document provides an overview of software cost estimation. It discusses software productivity measures like lines of code and function points. It describes factors that affect productivity and different techniques for software estimation like algorithmic cost modeling, expert judgment, and analogy. It also explains the COCOMO model, an empirical cost estimation model, and its evolution from the initial COCOMO-81 to the current COCOMO 2 model, which can accommodate different development approaches.
This document discusses Boehm's top 10 principles of conventional software management and important trends in improving software economics. It also covers the three generations of software development (conventional, transition, and modern practices), comparing their characteristics. Finally, it lists and explains 10 principles of conventional software engineering and the top 10 principles of modern software management.
The document discusses key concepts in software design such as abstraction, stepwise refinement, modularity, coupling, and cohesion. It explains that design is an iterative process that translates requirements into software components. Good design aims for loosely coupled modules with high cohesion, meaning interdependence between modules is minimized and elements within a module are tightly related. The document also outlines different types of coupling (data, content, common) and cohesion (coincidental, logical, temporal, etc.) and notes that tools like structure charts and structured flowcharts are used to design system structure.
This document discusses software project management. It covers topics such as project planning, scheduling, risk management, and staff allocation. Specifically, it describes the common management activities involved in software projects, including proposal writing, planning, costing, monitoring, and reporting. It emphasizes that project planning is an ongoing and iterative process from initial concept through system delivery. Risk management aims to identify potential risks and develop contingency plans to minimize their impact. The document provides examples of risk analysis and how to assess the probability and potential effects of different risks.
This document discusses software cost estimation and different techniques for estimating software costs. It covers topics like software cost components, metrics for assessing software productivity like lines of code and function points, and challenges with measurement. It also describes different estimation techniques like top-down and bottom-up, and how changing technologies can impact estimates. The document emphasizes that estimation requires using multiple techniques and that "pricing to win" may be necessary when information is limited.
This document provides an overview of software cost estimation and the COCOMO model. It discusses objectives of estimation, different estimation techniques like algorithmic modeling and expert judgment. Productivity measures like function points and object points are introduced. The COCOMO 2 model is described, including its application composition, early design, reuse, and post-architecture models to provide increasingly detailed estimates. Multipliers in the early design model are outlined. The reuse model accounts for black-box and white-box code integration.
This document summarizes the key topics from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering and explains its importance in developed economies. It discusses what software engineering entails, how it differs from computer science and system engineering. It also covers software processes and models, costs of software development, methods and CASE tools. Finally, it discusses professional responsibilities and ethical issues for software engineers.
This document discusses project management for software development projects. It covers topics such as the need for project management due to budget and schedule constraints. It also discusses distinguishing aspects of software project management compared to other engineering disciplines. Additional topics covered include project planning activities like proposal writing, scheduling, and reviews. It discusses challenges like estimating tasks, scheduling dependencies, and allocating staff. It also covers risk management activities like identifying risks, analyzing risks, planning strategies to address risks, and monitoring risks throughout the project.
This document introduces software engineering and discusses its importance. It explains that software engineering is concerned with the systematic development of software and aims for cost-effective and reliable results. It addresses common questions about software, processes, methods and challenges. It emphasizes that software engineers have ethical responsibilities to act with integrity, protect intellectual property and not misuse systems.
This document discusses key aspects of project management for software development projects. It covers objectives of project management including planning, scheduling, and risk management. Software project management aims to deliver software on time and on budget. The document outlines management activities, software project distinctions, and introduces concepts like project planning, scheduling using bar charts and networks, risk identification and analysis, and risk management strategies.
This document discusses techniques for estimating the cost of software projects. It explains that software cost estimation aims to predict the effort, time and total cost required. The key components of software costs are outlined as labor costs, hardware/software costs, and overhead costs. The document then examines various techniques for measuring programmer productivity and estimating project size, including lines of code, function points, and object points. Finally, it analyzes different estimation techniques like algorithmic modeling, expert judgment, analogy, and top-down vs. bottom-up approaches.
This document discusses rapid software development methods. It covers agile development methods like extreme programming (XP), which uses practices like test-driven development, pair programming, and frequent releases. XP emphasizes customer involvement, handling changing requirements, and maintaining simple code. Rapid application development and prototyping are also discussed. Prototypes help explore requirements and design but are discarded, while RAD relies on tools to quickly build database-driven business applications. The document compares incremental development, which starts with best-understood requirements, to throw-away prototyping, which starts with least-understood requirements.
This document summarizes key topics from Chapter 4 of Ian Sommerville's Software Engineering textbook, including software process models, generic process models like waterfall, evolutionary development and component-based development, process activities like requirements engineering, design, implementation, validation and evolution. It also describes the Rational Unified Process model and the role of computer-aided software engineering tools in supporting software processes.
This document summarizes key topics from Chapter 1 of Ian Sommerville's Software Engineering textbook, 7th edition. It introduces software engineering, explaining that it is concerned with theories, methods and tools for professional software development. It also addresses frequently asked questions about software engineering, including definitions of software, the software engineering process, costs of software engineering, and challenges in the field.
The document discusses software engineering and process models. It defines software engineering as the application of systematic and quantifiable approaches to software development, operation and maintenance. It describes software as computer programs, data structures and documentation.
It then discusses characteristics of software such as it being engineered not manufactured, not wearing out over time, and continuing to be custom built in most cases. It also discusses the software engineering layers including the process, method and tools layers.
Finally, it discusses the software process as a framework involving key activities like communication, planning, modeling, construction and deployment. It explains the generic process model and how activities are populated by actions and tasks to produce work products.
This document discusses methods for rapid software development. It covers topics like agile methods, extreme programming, rapid application development, and software prototyping. Some key points made are:
- Rapid development is needed to quickly respond to changing business needs, even if it means lower initial quality.
- Agile methods focus on iterative development and early delivery of working software that can evolve rapidly based on changing requirements.
- Rapid application development uses tools that facilitate rapid creation of interfaces and reports linked to a database.
- Visual programming allows rapid prototyping through a graphical interface but can cause coordination and maintenance issues for large projects.
Lec01 inroduction to software cost estimation ver1.pptJuwieKaren
This document discusses software cost estimation and productivity measurement. It covers fundamental estimation questions around effort, time and costs. Software cost components include hardware, software, travel, training and effort costs. Productivity can be measured in lines of code, function points or object points. The document also discusses challenges in estimation and productivity comparisons related to language level, quality, and changing requirements.
This document summarizes key topics from the first chapter of Ian Sommerville's Software Engineering textbook, 7th edition. It introduces software engineering, explaining its importance and how economies depend on software. Software engineering aims to develop software using systematic methods and tools. The document discusses what software is, differences between software engineering and computer science, software processes and models, costs of software engineering, and professional responsibilities of software engineers.
This document summarizes key concepts from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering as an engineering discipline concerned with all aspects of software production. It discusses the objectives of software engineering, topics covered like frequently asked questions and professional responsibility. It also summarizes concepts like the software development process, methods, costs and challenges in the field.
The document provides an introduction to software engineering and process models. It defines key terms like software, software engineering, and characteristics of software. It then discusses software engineering as a layered technology with process, method, and tools layers. The document also explains the software process as consisting of five generic activities - communication, planning, modeling, construction, and deployment. It provides examples and definitions for each activity. Finally, it asks exam questions related to defining software engineering and explaining it as a layered technology.
This document provides an overview of software cost estimation. It discusses software productivity measures like lines of code and function points. It describes factors that affect productivity and different techniques for software estimation like algorithmic cost modeling, expert judgment, and analogy. It also explains the COCOMO model, an empirical cost estimation model, and its evolution from the initial COCOMO-81 to the current COCOMO 2 model, which can accommodate different development approaches.
This document discusses Boehm's top 10 principles of conventional software management and important trends in improving software economics. It also covers the three generations of software development (conventional, transition, and modern practices), comparing their characteristics. Finally, it lists and explains 10 principles of conventional software engineering and the top 10 principles of modern software management.
The document discusses key concepts in software design such as abstraction, stepwise refinement, modularity, coupling, and cohesion. It explains that design is an iterative process that translates requirements into software components. Good design aims for loosely coupled modules with high cohesion, meaning interdependence between modules is minimized and elements within a module are tightly related. The document also outlines different types of coupling (data, content, common) and cohesion (coincidental, logical, temporal, etc.) and notes that tools like structure charts and structured flowcharts are used to design system structure.
ASP.NET is a server-side web application framework released by Microsoft in 2002 that includes Web Forms, MVC, Web Pages, and Web API. ASP.NET AJAX uses extensions like the ScriptManager, UpdatePanel, Timer, and UpdateProgress controls to enable partial page updates with AJAX functionality in ASP.NET applications without full page refreshes. The core ASP.NET AJAX controls allow automatically refreshing parts of ASP.NET pages at regular intervals or providing progress status for partial page updates.
Cloud computing provides on-demand access to IT resources and applications from the Internet. There are three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides fundamental computing resources, PaaS supplies platforms for developing and deploying applications, and SaaS delivers software applications to users. Cloud computing offers advantages like reduced costs, improved performance and collaboration, but also disadvantages such as reliance on internet and potential security and speed issues.
The document discusses architectural design and software architecture. It covers topics like architectural design decisions, views, patterns, and application architectures. Architectural design represents the link between specification and design and involves identifying major system components and their communications. Common architectural representations include box and line diagrams, while views provide different perspectives of the system. Architectural patterns like Model-View-Controller and layered architectures help structure systems and promote reuse.
This document provides an introduction to cloud computing, including:
- Defining cloud computing and explaining its evolution from virtualization and utility computing.
- Describing the advantages of cloud computing like elasticity, failover capabilities, and data redundancy.
- Stating the key characteristics of cloud computing like being user centric, task centric, and powerful/programmable.
- Defining the cloud delivery models of SaaS, PaaS, and IaaS and providing examples like Google Docs, Microsoft Azure, and Amazon EC2.
- Explaining the private and public cloud deployment models.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.