UNIWeb's academic metrics functionality offers administrators the possibility of measuring academic output, and downloading custom metrics into Excel reports.
Machine Learning and Applications: An International Journal (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
MACHINE LEARNING AND APPLICATIONS: AN INTERNATIONAL JOURNAL (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
Machine Learning and Applications: An International Journal (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
This document discusses emailing, scheduling, and exporting reports in MC University. It provides information on emailing reports manually or automatically scheduling them to be sent at intervals. Reports can be exported to formats like PDF, HTML, CSV, XML, Excel and Word. Interactive examples demonstrate how to email, schedule and export reports from the Report Preview window toolbar.
Development to create an equivalency model between systems (Assignments, assessments, submissions, forums, messages, announcements, syllabus, calendars, …) and create a middleware platform that migrates the content between platforms progressively.
The document outlines an 8-step process for measuring program outcomes: 1) Get ready, 2) Choose outcomes, 3) Specify indicators, 4) Prepare data collection, 5) Try the system, 6) Analyze findings, 7) Improve the system, and 8) Use findings. It also defines key terms like inputs, activities, outputs, outcomes, indicators, and logic models.
Machine Learning and Applications: An International Journal (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
MACHINE LEARNING AND APPLICATIONS: AN INTERNATIONAL JOURNAL (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
Machine Learning and Applications: An International Journal (MLAIJ)mlaij
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
This document discusses emailing, scheduling, and exporting reports in MC University. It provides information on emailing reports manually or automatically scheduling them to be sent at intervals. Reports can be exported to formats like PDF, HTML, CSV, XML, Excel and Word. Interactive examples demonstrate how to email, schedule and export reports from the Report Preview window toolbar.
Development to create an equivalency model between systems (Assignments, assessments, submissions, forums, messages, announcements, syllabus, calendars, …) and create a middleware platform that migrates the content between platforms progressively.
The document outlines an 8-step process for measuring program outcomes: 1) Get ready, 2) Choose outcomes, 3) Specify indicators, 4) Prepare data collection, 5) Try the system, 6) Analyze findings, 7) Improve the system, and 8) Use findings. It also defines key terms like inputs, activities, outputs, outcomes, indicators, and logic models.
This document outlines new features and updates to the InCites Benchmark & Analytics platform between April and September 2015. Key updates include:
1) The ability to analyze custom datasets created in Web of Science Core Collection directly in InCites.
2) Exporting results now includes baseline data.
3) Filters were added for funding sources and open access publications.
4) Trend data can now be exported to analyze metrics over time.
5) Multiple entries can be selected in filters to capture variations in names or spellings.
This document discusses asset meters and user defined fields in MC University's asset management system. It covers entering and rolling down meter readings to child assets, and creating and editing user defined fields, including setting up lookup tables. Users are encouraged to practice these skills through interactive examples on meter readings, asset UDF labels and lookups, and using the UDF smart transfer feature.
www.docebo.com - Camtasia Studio is a powerful tool designed to produce tutorials, by creating and editing screenrecording videos.
By attending this course, you will learn how to use Camtasia Studio to create your own learning objects and upload them in Docebo.
This document discusses how Abertay University uses the EvaSys system to create reporting dashboards from module evaluation surveys. Module evaluation data from EvaSys is combined with student results data from their SITS system in an Oracle data warehouse. Dashboards present metrics like average response rates, pass rates, and number of student responses for each module. EvaSys is also used for other surveys at Abertay like staff and service satisfaction surveys. Integration with SITS allows surveys to be delivered via the student portal to improve participation rates.
This session will show you how to define the type of unit that should be associated with each meter. Learn how these readings will affect dependent/child records, and track meter history.
Talis Insight Europe 2017 - Taking the pain out of reporting - University of ...Talis
This document summarizes a presentation about using data from various sources like Talis Aspire reports, Google Analytics, and an Access database to create an annual report on reading lists at the University of Sussex. It discusses understanding reporting needs, refining and merging data from different sources using Google Fusion Tables, analyzing the merged data in Qlik Sense Cloud by creating dimensions and measures, and visualizing the results by building charts, dashboards and stories in Qlik Sense Cloud to share with colleagues. The goal is to demonstrate the value of reading lists, identify engagement levels in different departments, and inform future developments.
Despite being controversial, research metrics are becoming a key component of research evaluation processes globally. Nevertheless, accessing research metrics to support these processes in a timely manner is not a straightforward task, as it requires either having access to expensive commercial solutions such as Elsevier SciVal or Clarivate Analytics' InCites, or having substantial knowledge of existing APIs and data sources as well as the ability and skills needed to analyse large amounts of raw scholarly data in-house. This is especially the case on a department or institutional level where large amounts of data have to be aggregated prior to analysis. To alleviate this problem we have designed and prototyped CORE Analytics Dashboard – a tool for analytical evaluation of research outputs of universities. The aim of the CORE Analytics Dashboard is to help universities analyse their performance using a variety of metrics captured from openly available data sources, including citation counts and social media metrics, and to help them compare their performance with other institutions. This paper presents the motivation behind developing this dashboard and its main features.
University management System project report..pdfKamal Acharya
N-Grade deals with the maintenance of university, department, faculty, student information within the university. N-Grade is an automation system, which is used to store the department, faculty, student, courses and information of a university.
Starting from registration of a new student in the university, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTRANET based campus wide portal. It collects related information from all the departments of an organization and maintains files, which are used to generate reports in various forms to measure individual and overall performance of the students.
Student Data Management System that will improve Data management in Institutes experience for both Students and the Administration authorities. The whole system will run on Web Browser. The system is developed in PHP, Java script, jQuery, HTML and CSS. Users will have the felicity to log in from any place with internet connection OR Particular area offline Web Brewers. Our Student Management System runs with the various activities related to the students
What is Advanced Excel and what are some best practices for designing and cre...Technogeeks
Advanced Excel encompasses sophisticated features for data analysis and reporting, requiring mastery of basic functions and formatting. Effective dashboards prioritize simplicity, consistency, visual hierarchy, interactivity, and performance optimization, while handling time-series data entails utilizing functions, tools, and techniques tailored to chronological data analysis. Power Pivot enhances data modeling and analysis through integration, advanced calculations, visualization, and performance optimization, while Excel VBA automates tasks, customizes functionality, and extends Excel's capabilities, contributing to enhanced productivity and insightful decision-making.
Transfer Credit Articulation Database Project OverviewKristian Lopez
This document provides an overview of the goals and progress of developing a transfer credit articulation database at the University of Illinois at Chicago (UIC). The goals are to promote consistency in transfer credit decisions, maintain records of decision-makers, and streamline the articulation review process. The database currently houses course, articulation, student and institution data. Phase I involves designing the database structure and report prototypes. Next steps include gathering feedback, identifying remaining Phase I items, and planning future phases.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
How can advanced Excel skills benefit professionals in finance and accounting...kzayra69
How can advanced Excel skills benefit professionals in finance and accounting roles?
Introduction
Advanced Excel skills are invaluable for professionals in finance and accounting roles. They enable efficient data analysis, sophisticated financial modeling, and streamlined automation of tasks.
With Excel's capabilities, professionals can enhance reporting, manage risks effectively, and provide decision support. These skills not only improve productivity but also contribute to informed decision-making and regulatory compliance.
If anyone wants to learn advanced Excel techniques, many institutes offer specialized Advanced Excel courses in Pune that provide hands-on training to master complex data analysis and visualization. Join us to sharpen your skills and excel in Pune's dynamic business environment.
Advanced Excel skills can significantly benefit professionals in finance and accounting roles in several ways:
Data Analysis: Excel allows professionals to analyze large datasets quickly and efficiently. Advanced functions like pivot tables, lookup functions, and data validation enable them to summarize, filter, and manipulate data to derive meaningful insights.
Financial Modeling: Excel is widely used for financial modeling, such as building complex financial statements, forecasting cash flows, conducting scenario analysis, and valuing investments. Professionals with advanced Excel skills can create dynamic and accurate models that help in decision-making processes.
Automation: Excel's powerful features, such as macros and Visual Basic for Applications (VBA), allow professionals to automate repetitive tasks and streamline workflows. This can save significant time and reduce the risk of errors, especially when dealing with routine tasks like data entry or report generation.
Financial Reporting: Excel is commonly used for preparing financial reports, budget presentations, and management dashboards. Advanced formatting and charting capabilities enable professionals to present financial information in a clear and visually appealing manner, making it easier for stakeholders to understand and interpret.
Risk Management: Excel can be used to analyze and manage financial risks by performing sensitivity analysis, stress testing, and Monte Carlo simulations. Professionals can use advanced Excel techniques to assess the impact of various risk factors on financial outcomes and develop strategies to mitigate risks effectively.
Decision Support: Advanced Excel users can create dynamic decision support tools that enable stakeholders to evaluate different scenarios and make informed decisions. By building interactive models and dashboards, professionals can provide valuable insights into the financial implications of various strategic options.
Audit and Compliance: Excel is often used in auditing and compliance processes to perform data validation, detect anomalies, and ensure the accuracy and completeness of financial records. Advanced Excel sk
This document provides an overview of asset specifications in MC University's asset management system. It defines asset specifications as measurements or features that can be tracked for each asset. Specifications can be created and applied at the asset or classification level and can also be added as tasks to work orders. The document reviews how to create new specifications, add them to assets, link them to work orders, and generate specification reports to analyze and track specification data over time.
Automatic Salary Pay Slip in 4 MinutesJamesAndrais
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
To watch the recorded on-demand web seminar go to http://alturl.com/2mjzg
Learn about the various IBM Cognos Active Reports features and how they can be used to create and distribute interactive reporting applications. See how the latest capabilities of this powerful reporting solution improve your business insight, empower all your business users to be more productive, and help your organization gain sustained competitive advantage.
Learn more: www.CognosEducation.com
A tool for librarians to select metrics across the research lifecycleLibrary_Connect
These slides introduce a range of research impact metrics. They were presented at the ER&L Conference (April 2017) by Chris James, Product Manager Research Metrics, Elsevier.
GLOT is a web-based content manager and website builder with an integrated translation toolkit, specifically designed to create and manage multilingual, accessible websites. Whether you're a content creator, translator, or web developer, GLOT is the ideal tool for creating multilingual and accessible websites.
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This document outlines new features and updates to the InCites Benchmark & Analytics platform between April and September 2015. Key updates include:
1) The ability to analyze custom datasets created in Web of Science Core Collection directly in InCites.
2) Exporting results now includes baseline data.
3) Filters were added for funding sources and open access publications.
4) Trend data can now be exported to analyze metrics over time.
5) Multiple entries can be selected in filters to capture variations in names or spellings.
This document discusses asset meters and user defined fields in MC University's asset management system. It covers entering and rolling down meter readings to child assets, and creating and editing user defined fields, including setting up lookup tables. Users are encouraged to practice these skills through interactive examples on meter readings, asset UDF labels and lookups, and using the UDF smart transfer feature.
www.docebo.com - Camtasia Studio is a powerful tool designed to produce tutorials, by creating and editing screenrecording videos.
By attending this course, you will learn how to use Camtasia Studio to create your own learning objects and upload them in Docebo.
This document discusses how Abertay University uses the EvaSys system to create reporting dashboards from module evaluation surveys. Module evaluation data from EvaSys is combined with student results data from their SITS system in an Oracle data warehouse. Dashboards present metrics like average response rates, pass rates, and number of student responses for each module. EvaSys is also used for other surveys at Abertay like staff and service satisfaction surveys. Integration with SITS allows surveys to be delivered via the student portal to improve participation rates.
This session will show you how to define the type of unit that should be associated with each meter. Learn how these readings will affect dependent/child records, and track meter history.
Talis Insight Europe 2017 - Taking the pain out of reporting - University of ...Talis
This document summarizes a presentation about using data from various sources like Talis Aspire reports, Google Analytics, and an Access database to create an annual report on reading lists at the University of Sussex. It discusses understanding reporting needs, refining and merging data from different sources using Google Fusion Tables, analyzing the merged data in Qlik Sense Cloud by creating dimensions and measures, and visualizing the results by building charts, dashboards and stories in Qlik Sense Cloud to share with colleagues. The goal is to demonstrate the value of reading lists, identify engagement levels in different departments, and inform future developments.
Despite being controversial, research metrics are becoming a key component of research evaluation processes globally. Nevertheless, accessing research metrics to support these processes in a timely manner is not a straightforward task, as it requires either having access to expensive commercial solutions such as Elsevier SciVal or Clarivate Analytics' InCites, or having substantial knowledge of existing APIs and data sources as well as the ability and skills needed to analyse large amounts of raw scholarly data in-house. This is especially the case on a department or institutional level where large amounts of data have to be aggregated prior to analysis. To alleviate this problem we have designed and prototyped CORE Analytics Dashboard – a tool for analytical evaluation of research outputs of universities. The aim of the CORE Analytics Dashboard is to help universities analyse their performance using a variety of metrics captured from openly available data sources, including citation counts and social media metrics, and to help them compare their performance with other institutions. This paper presents the motivation behind developing this dashboard and its main features.
University management System project report..pdfKamal Acharya
N-Grade deals with the maintenance of university, department, faculty, student information within the university. N-Grade is an automation system, which is used to store the department, faculty, student, courses and information of a university.
Starting from registration of a new student in the university, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTRANET based campus wide portal. It collects related information from all the departments of an organization and maintains files, which are used to generate reports in various forms to measure individual and overall performance of the students.
Student Data Management System that will improve Data management in Institutes experience for both Students and the Administration authorities. The whole system will run on Web Browser. The system is developed in PHP, Java script, jQuery, HTML and CSS. Users will have the felicity to log in from any place with internet connection OR Particular area offline Web Brewers. Our Student Management System runs with the various activities related to the students
What is Advanced Excel and what are some best practices for designing and cre...Technogeeks
Advanced Excel encompasses sophisticated features for data analysis and reporting, requiring mastery of basic functions and formatting. Effective dashboards prioritize simplicity, consistency, visual hierarchy, interactivity, and performance optimization, while handling time-series data entails utilizing functions, tools, and techniques tailored to chronological data analysis. Power Pivot enhances data modeling and analysis through integration, advanced calculations, visualization, and performance optimization, while Excel VBA automates tasks, customizes functionality, and extends Excel's capabilities, contributing to enhanced productivity and insightful decision-making.
Transfer Credit Articulation Database Project OverviewKristian Lopez
This document provides an overview of the goals and progress of developing a transfer credit articulation database at the University of Illinois at Chicago (UIC). The goals are to promote consistency in transfer credit decisions, maintain records of decision-makers, and streamline the articulation review process. The database currently houses course, articulation, student and institution data. Phase I involves designing the database structure and report prototypes. Next steps include gathering feedback, identifying remaining Phase I items, and planning future phases.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
How can advanced Excel skills benefit professionals in finance and accounting...kzayra69
How can advanced Excel skills benefit professionals in finance and accounting roles?
Introduction
Advanced Excel skills are invaluable for professionals in finance and accounting roles. They enable efficient data analysis, sophisticated financial modeling, and streamlined automation of tasks.
With Excel's capabilities, professionals can enhance reporting, manage risks effectively, and provide decision support. These skills not only improve productivity but also contribute to informed decision-making and regulatory compliance.
If anyone wants to learn advanced Excel techniques, many institutes offer specialized Advanced Excel courses in Pune that provide hands-on training to master complex data analysis and visualization. Join us to sharpen your skills and excel in Pune's dynamic business environment.
Advanced Excel skills can significantly benefit professionals in finance and accounting roles in several ways:
Data Analysis: Excel allows professionals to analyze large datasets quickly and efficiently. Advanced functions like pivot tables, lookup functions, and data validation enable them to summarize, filter, and manipulate data to derive meaningful insights.
Financial Modeling: Excel is widely used for financial modeling, such as building complex financial statements, forecasting cash flows, conducting scenario analysis, and valuing investments. Professionals with advanced Excel skills can create dynamic and accurate models that help in decision-making processes.
Automation: Excel's powerful features, such as macros and Visual Basic for Applications (VBA), allow professionals to automate repetitive tasks and streamline workflows. This can save significant time and reduce the risk of errors, especially when dealing with routine tasks like data entry or report generation.
Financial Reporting: Excel is commonly used for preparing financial reports, budget presentations, and management dashboards. Advanced formatting and charting capabilities enable professionals to present financial information in a clear and visually appealing manner, making it easier for stakeholders to understand and interpret.
Risk Management: Excel can be used to analyze and manage financial risks by performing sensitivity analysis, stress testing, and Monte Carlo simulations. Professionals can use advanced Excel techniques to assess the impact of various risk factors on financial outcomes and develop strategies to mitigate risks effectively.
Decision Support: Advanced Excel users can create dynamic decision support tools that enable stakeholders to evaluate different scenarios and make informed decisions. By building interactive models and dashboards, professionals can provide valuable insights into the financial implications of various strategic options.
Audit and Compliance: Excel is often used in auditing and compliance processes to perform data validation, detect anomalies, and ensure the accuracy and completeness of financial records. Advanced Excel sk
This document provides an overview of asset specifications in MC University's asset management system. It defines asset specifications as measurements or features that can be tracked for each asset. Specifications can be created and applied at the asset or classification level and can also be added as tasks to work orders. The document reviews how to create new specifications, add them to assets, link them to work orders, and generate specification reports to analyze and track specification data over time.
Automatic Salary Pay Slip in 4 MinutesJamesAndrais
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
To watch the recorded on-demand web seminar go to http://alturl.com/2mjzg
Learn about the various IBM Cognos Active Reports features and how they can be used to create and distribute interactive reporting applications. See how the latest capabilities of this powerful reporting solution improve your business insight, empower all your business users to be more productive, and help your organization gain sustained competitive advantage.
Learn more: www.CognosEducation.com
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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See My Other Reviews Article:
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
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2. Gathering metrics and downloading reports
Keeping track of research
activity
All the data gathered from the
UNIWeb CVs and profiles are
measurable and trackable with
UNIWeb’s academic metrics.
Research administrators have
the flexibility to select and filter
any combination of activities,
from any combination of groups
during a given period.
Downloading custom Excel
reports
The data collected in UNIWeb can
also be downloaded into custom
Excel report sheets. Any report,
from pre-selected metrics on a
given activity to custom output
tracking, can be downloaded into
an Excel file, where administrators
can continue to work on the
metrics, and access the raw data
as well.
4. UNIWeb provides convenient selection of metrics
contents, with an a la carte option as well
◎ Any information that is captured in a network’s
UNIWeb CV can be tracked and measured by
research administrator.
◎ Research administrators also have the option
of downloading custom metrics by selecting
and combining from any group of accounts,
and tracking any group of activities.
5. Collecting research activity metrics
Select the activities that you
wish to track
Select the academic titles of
the researchers
Select the dates and
academic units
7. For reviewers who are comfortable using
Excel, UNIWeb provides them with an option
◎ As there is the option to have a pre-selected
automatic option for producing certain metrics
(such as numbers of publications), there is also
the option to view this gathered data in a
separate Excel file.
◎ In addition to the measured data that would
appear in the first tab, Excel files downloaded
from UNIWeb will also provide the raw data in
a separate tab.
8. Downloading reports
in Excel
Access the raw data in
your report
View the UNIWeb
metrics in Excel
Measure the number of
publications, funding
history, and other
metrics within the
network.