The document discusses Texas star chart results and ways to address weaknesses in performance. It will breakdown data to set short term goals and take small steps to improve the problem. Potential causes of shortfalls like funding issues are noted. Suggested individual actions include saving bandwidth by turning off unneeded programs and computers to help infrastructure goals with limited resources.
4 Ways to Make your Brain More Vibrant with VisualsImageThink
4 ways to maximize your brain power with simple visual exercises. Get the highlights of ImageThink Co-founder and principal, Nora Herting talk at this year's SXSW Interactive festival.
To compete effectively in a marketing environment that is changing at an unprecedented rate, we need to do meaningful work and update our skills as the marketing skills gap widens.
4 Ways to Make your Brain More Vibrant with VisualsImageThink
4 ways to maximize your brain power with simple visual exercises. Get the highlights of ImageThink Co-founder and principal, Nora Herting talk at this year's SXSW Interactive festival.
To compete effectively in a marketing environment that is changing at an unprecedented rate, we need to do meaningful work and update our skills as the marketing skills gap widens.
Dominica argues the need for more creative tension in order to make incredible change and walks through how LeanKit built a case to fix architecture issues.
The Software Defined Institution - Theta 2015Amcom
The significant fragmentation of communications tools emerging in the marketplace and the focus on app-based learning, present great challenge for modern educators. Success will come to those that create the environment to bring together a unified platform to support future-focused learning. Join Brett Looney as he illustrates how the UC platform of today will support the OTT applications of the near future to deliver efficient, intelligent, rich media interaction with students, staff and researchers, wherever they may be.
CTTS CASE STUDY - Milestone 2 Problem AnalysisPage 2-7MILEST.docxannettsparrow
CTTS CASE STUDY - Milestone 2: Problem Analysis
Page: 2-7MILESTONE 2 – PROBLEM ANALYSIS
Synopsis
T
here’s an old saying that suggests, “Don't try to fix it unless you understand it.” With those words of wisdom, the next milestone of our project is to study and analyze the existing system. There is always an existing system, whether computerized or manual or some of both. The problem analysis phase provides the project team with a more thorough understanding of the problems, opportunities, and/or directives that triggered the project. Indeed, the analyst frequently uncovers new problems and opportunities. The problem analysis phase may answer the questions, “Are the problems worth solving?” and “Is a new system worth building?”
The purpose of the problem analysis phase is threefold. First and foremost, the project team must gain an appropriate understanding of the business problem domain. Second, we need to answer the question, “Are these problems (opportunities, and directives) worth solving?” Finally, we need to determine if the system is worth developing. The problem analysis phase provides the systems analyst and project team with a more thorough understanding of the problems, opportunities, and/or directives that triggered the project. In the process, they frequently uncover new problems and opportunities.
In this milestone you will perform Cause-Effect Analysis and document your findings using the Problems, Opportunities, Objectives, and Constraints Matrix. The PIECES framework, originally developed by James Wetherbe, and then adapted by the authors, can serve as a useful tool to classify the various problems, opportunities, and directives identified in Milestone 1.
Second, you will develop a Context Diagram to begin to understand the proposed system and whether or not it is worth developing. A Context Diagram looks at the system as a whole and how it interacts with the world around it.
Objectives
After completing this milestone, you should be able to:
Perform Cause-Effect Analysis to be able to thoroughly understand a system’s problems, opportunities, and/or directives that triggered the project.
Use and understand the PIECES framework for classifying problems, opportunities, and directives.
Complete the Problems, Opportunities, Objectives, and Constraints Matrix.
Create a Context Diagram for the proposed system.
Assignment
Now that we have completed the survey of the system and gained approval to proceed, we can attempt to gain a better understanding of the current system and to evaluate whether the proposed system is worth developing.
Activities
To complete the Problems, Opportunities, Objectives, and Constraints Matrix, use the interview presented in this milestone. Use the PIECES framework as a model to classify the problems, opportunities, and directives.
Create a Context Diagram of the proposed system, using the interview presented in this milestone and interview from Milestone 1.
Deliverable format and software t.
Architecting a Data Platform For Enterprise Use (Strata NY 2018)mark madsen
Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT.
Long:
The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure.
The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture.
Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions.
Topics covered:
* A brief history of data infrastructure and past design assumptions
* Categories of data and data use in organizations
* Data architecture
* Functional architecture
* Technology planning assumptions and guidance
Time Management & Technology PowerPoint Presentation with NotesAndrew Schwartz
This is our largest and only presentation with added instructor notes, each section includes high resolution photos offering you a very comprehensive 197 slides.
Slides include topics such as: goal setting (using software and websites); optimize your planning by using your PDA, doing research, content management software and other simple software tools; to project and record your daily activities to maximize productivity, (plus PIM, passwords, being “synched and thinking like a computer). Work Time includes new and well-kept technological innovations, and how technology can save on paperwork and clutter by using time management software, RSS readers, hot keys, search engines and efficient use of your computer.
Keene Systems latest whitepaper release simplifies the process of planning a software project by comparing it with the phases of building a house. To simplify it even further, Keene also developed a clever infographic that visually walks the viewer through the 10 step process with a conversation between a construction worker and a programmer.
Often as developers we are stuck evaluating only the negative artifacts of technical debt. However, what if we looked at the debt metaphor from the point-of-view of our business executives. Would we reach the same conclusions?
In this presentation, I demonstrate that technical debt is not always something to be avoided. In fact, when debt is incurred responsibly, it can become a powerful tool that improves the communication between stakeholders and technologists.
As we inspect this concept, I offer rules and guidelines for evaluating when debt is good and when it is toxic. Once we have a firm understanding of this framework, I present strategies for prudently measuring, paying, and using debt. At the end of the presentation, both developers and business stakeholders will gain a new vocabulary for describing project decisions that will maximize the collaboration between both teams.
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
BigData Meets the Federal Data Center - an overview of nosql solutions to data challenges (e.g. Hadoop, Hbase, Mongodb, cassandra, redis etc). Also includes a vignette on Google Prediction API.
Harnessing the cloud to create social mobile apps that scaleAbe Pachikara
This is a discussion at the 2011 Web 2.0 Expo SF event, with Jim Zimmerman, CTO of Thuzi. We shared lessons on how to use the cloud for social apps that inevitably need dramatic scale to be a success.
computer notes - Introduction to data structuresecomputernotes
Prepares the students for (and is a prerequisite for) the more advanced material students will encounter in later courses. Data structures organize data Þ more efficient programs
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Dominica argues the need for more creative tension in order to make incredible change and walks through how LeanKit built a case to fix architecture issues.
The Software Defined Institution - Theta 2015Amcom
The significant fragmentation of communications tools emerging in the marketplace and the focus on app-based learning, present great challenge for modern educators. Success will come to those that create the environment to bring together a unified platform to support future-focused learning. Join Brett Looney as he illustrates how the UC platform of today will support the OTT applications of the near future to deliver efficient, intelligent, rich media interaction with students, staff and researchers, wherever they may be.
CTTS CASE STUDY - Milestone 2 Problem AnalysisPage 2-7MILEST.docxannettsparrow
CTTS CASE STUDY - Milestone 2: Problem Analysis
Page: 2-7MILESTONE 2 – PROBLEM ANALYSIS
Synopsis
T
here’s an old saying that suggests, “Don't try to fix it unless you understand it.” With those words of wisdom, the next milestone of our project is to study and analyze the existing system. There is always an existing system, whether computerized or manual or some of both. The problem analysis phase provides the project team with a more thorough understanding of the problems, opportunities, and/or directives that triggered the project. Indeed, the analyst frequently uncovers new problems and opportunities. The problem analysis phase may answer the questions, “Are the problems worth solving?” and “Is a new system worth building?”
The purpose of the problem analysis phase is threefold. First and foremost, the project team must gain an appropriate understanding of the business problem domain. Second, we need to answer the question, “Are these problems (opportunities, and directives) worth solving?” Finally, we need to determine if the system is worth developing. The problem analysis phase provides the systems analyst and project team with a more thorough understanding of the problems, opportunities, and/or directives that triggered the project. In the process, they frequently uncover new problems and opportunities.
In this milestone you will perform Cause-Effect Analysis and document your findings using the Problems, Opportunities, Objectives, and Constraints Matrix. The PIECES framework, originally developed by James Wetherbe, and then adapted by the authors, can serve as a useful tool to classify the various problems, opportunities, and directives identified in Milestone 1.
Second, you will develop a Context Diagram to begin to understand the proposed system and whether or not it is worth developing. A Context Diagram looks at the system as a whole and how it interacts with the world around it.
Objectives
After completing this milestone, you should be able to:
Perform Cause-Effect Analysis to be able to thoroughly understand a system’s problems, opportunities, and/or directives that triggered the project.
Use and understand the PIECES framework for classifying problems, opportunities, and directives.
Complete the Problems, Opportunities, Objectives, and Constraints Matrix.
Create a Context Diagram for the proposed system.
Assignment
Now that we have completed the survey of the system and gained approval to proceed, we can attempt to gain a better understanding of the current system and to evaluate whether the proposed system is worth developing.
Activities
To complete the Problems, Opportunities, Objectives, and Constraints Matrix, use the interview presented in this milestone. Use the PIECES framework as a model to classify the problems, opportunities, and directives.
Create a Context Diagram of the proposed system, using the interview presented in this milestone and interview from Milestone 1.
Deliverable format and software t.
Architecting a Data Platform For Enterprise Use (Strata NY 2018)mark madsen
Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT.
Long:
The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure.
The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture.
Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions.
Topics covered:
* A brief history of data infrastructure and past design assumptions
* Categories of data and data use in organizations
* Data architecture
* Functional architecture
* Technology planning assumptions and guidance
Time Management & Technology PowerPoint Presentation with NotesAndrew Schwartz
This is our largest and only presentation with added instructor notes, each section includes high resolution photos offering you a very comprehensive 197 slides.
Slides include topics such as: goal setting (using software and websites); optimize your planning by using your PDA, doing research, content management software and other simple software tools; to project and record your daily activities to maximize productivity, (plus PIM, passwords, being “synched and thinking like a computer). Work Time includes new and well-kept technological innovations, and how technology can save on paperwork and clutter by using time management software, RSS readers, hot keys, search engines and efficient use of your computer.
Keene Systems latest whitepaper release simplifies the process of planning a software project by comparing it with the phases of building a house. To simplify it even further, Keene also developed a clever infographic that visually walks the viewer through the 10 step process with a conversation between a construction worker and a programmer.
Often as developers we are stuck evaluating only the negative artifacts of technical debt. However, what if we looked at the debt metaphor from the point-of-view of our business executives. Would we reach the same conclusions?
In this presentation, I demonstrate that technical debt is not always something to be avoided. In fact, when debt is incurred responsibly, it can become a powerful tool that improves the communication between stakeholders and technologists.
As we inspect this concept, I offer rules and guidelines for evaluating when debt is good and when it is toxic. Once we have a firm understanding of this framework, I present strategies for prudently measuring, paying, and using debt. At the end of the presentation, both developers and business stakeholders will gain a new vocabulary for describing project decisions that will maximize the collaboration between both teams.
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
BigData Meets the Federal Data Center - an overview of nosql solutions to data challenges (e.g. Hadoop, Hbase, Mongodb, cassandra, redis etc). Also includes a vignette on Google Prediction API.
Harnessing the cloud to create social mobile apps that scaleAbe Pachikara
This is a discussion at the 2011 Web 2.0 Expo SF event, with Jim Zimmerman, CTO of Thuzi. We shared lessons on how to use the cloud for social apps that inevitably need dramatic scale to be a success.
computer notes - Introduction to data structuresecomputernotes
Prepares the students for (and is a prerequisite for) the more advanced material students will encounter in later courses. Data structures organize data Þ more efficient programs
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Embracing GenAI - A Strategic ImperativePeter 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.
2. Star chart agenda Our goal is to tackle our weakest area of the star chart performance assessment. We will breakdown the data and try to come up with short term goals that will address the larger problem at hand. We will take small steps in order to control what we can on our end of the problem.
4. What may be some causes of the shortfall Money issues have come up all over the state. Without proper funding technology infrastructure goals may have to be get aside in order to save jobs.
5. What can I do? Together, we can think of smart solutions to the infrstrcture goals that we want to reach. First, save bandwidth by turning off your internet explorer when you are not using it. Second, try to minimize the amount of programs that require internet usage during startup. Finally, turn off you computer when you leave for the evening unless it is a day when updates are needed by the entire district.
6. So what’s next Go to ivanslamarblog.blogspot.comtogainsomeknowledgeaboutdoinglittlethingsthatcanhelpimprovenetworkinfrastructureone computer at a time.