FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
5 Lessons Learned from Designing Neural Models for Information RetrievalBhaskar Mitra
Slides from my keynote talk at the Recherche d'Information SEmantique (RISE) workshop at CORIA-TALN 2018 conference in Rennes, France.
(Abstract)
Neural Information Retrieval (or neural IR) is the application of shallow or deep neural networks to IR tasks. Unlike classical IR models, these machine learning (ML) based approaches are data-hungry, requiring large scale training data before they can be deployed. Traditional learning to rank models employ supervised ML techniques—including neural networks—over hand-crafted IR features. By contrast, more recently proposed neural models learn representations of language from raw text that can bridge the gap between the query and the document vocabulary.
Neural IR is an emerging field and research publications in the area has been increasing in recent years. While the community explores new architectures and training regimes, a new set of challenges, opportunities, and design principles are emerging in the context of these new IR models. In this talk, I will share five lessons learned from my personal research in the area of neural IR. I will present a framework for discussing different unsupervised approaches to learning latent representations of text. I will cover several challenges to learning effective text representations for IR and discuss how latent space models should be combined with observed feature spaces for better retrieval performance. Finally, I will conclude with a few case studies that demonstrates the application of neural approaches to IR that go beyond text matching.
Renee Hobbs describes three practices of academic writing that help you develop new ideas in relation to the books, videos, websites and other information you encounter for learning.
Writing A Cause And Effect Essay Outline.pdfDawn Romero
How To Write A Cause And Effect Essay | Writing Guides | Ultius. Writing a Cause and Effect Essay Outline: Scheme | Cause and effect .... How to Write a Cause and Effect Essay: The Complete Guide. Cause and effect essay. 015 Sample Cause And Effect Essay Outline Topics L ~ Thatsnotus. Cause and Effect Essay Writing: Instructions,Topics,Examples,Prewriting .... Cause and Effect Essay Outline: Types, Examples & Writing Tips. Cause & Effect Essay - Excelsior College OWL - How to Write a Cause and ....
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
5 Lessons Learned from Designing Neural Models for Information RetrievalBhaskar Mitra
Slides from my keynote talk at the Recherche d'Information SEmantique (RISE) workshop at CORIA-TALN 2018 conference in Rennes, France.
(Abstract)
Neural Information Retrieval (or neural IR) is the application of shallow or deep neural networks to IR tasks. Unlike classical IR models, these machine learning (ML) based approaches are data-hungry, requiring large scale training data before they can be deployed. Traditional learning to rank models employ supervised ML techniques—including neural networks—over hand-crafted IR features. By contrast, more recently proposed neural models learn representations of language from raw text that can bridge the gap between the query and the document vocabulary.
Neural IR is an emerging field and research publications in the area has been increasing in recent years. While the community explores new architectures and training regimes, a new set of challenges, opportunities, and design principles are emerging in the context of these new IR models. In this talk, I will share five lessons learned from my personal research in the area of neural IR. I will present a framework for discussing different unsupervised approaches to learning latent representations of text. I will cover several challenges to learning effective text representations for IR and discuss how latent space models should be combined with observed feature spaces for better retrieval performance. Finally, I will conclude with a few case studies that demonstrates the application of neural approaches to IR that go beyond text matching.
Renee Hobbs describes three practices of academic writing that help you develop new ideas in relation to the books, videos, websites and other information you encounter for learning.
Writing A Cause And Effect Essay Outline.pdfDawn Romero
How To Write A Cause And Effect Essay | Writing Guides | Ultius. Writing a Cause and Effect Essay Outline: Scheme | Cause and effect .... How to Write a Cause and Effect Essay: The Complete Guide. Cause and effect essay. 015 Sample Cause And Effect Essay Outline Topics L ~ Thatsnotus. Cause and Effect Essay Writing: Instructions,Topics,Examples,Prewriting .... Cause and Effect Essay Outline: Types, Examples & Writing Tips. Cause & Effect Essay - Excelsior College OWL - How to Write a Cause and ....
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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.
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.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
5. connecting you with information,
support and your community
Source text
Intuitively we know from our work in
Section 2.2 that a continuous function is
one that has no breaks in its graph. A
differentiable function from R² to R ought
to be such that not only are there no
breaks in its graph, but there is a well-
defined plane tangent to the graph at each
point.
References
Marsden, J. E., Tromba, A. J.(2012)
Vector calculus, 6th ed., International ed.
New York : W.H. Freeman, 105
Is this Plagiarism?
Example 1
Source text
Intuitively we know from our work in
Section 2.2 that a continuous function is
one that has no breaks in its graph. A
differentiable function from R² to R ought
to be such that not only are there no
breaks in its graph, but there is a well-
defined plane tangent to the graph at each
point.
References
Marsden, J. E., Tromba, A. J.(2012)
Vector calculus, 6th ed., International ed.
New York : W.H. Freeman, 105
Student work
A differentiable function from R² to R
should have no breaks in its graph as
well as a well-defined plane tangent at
each point of the graph (Marsden &
Tromba, 2012)
References
Marsden, J. E., Tromba, A. J.(2012)
Vector calculus, 6th ed., International
ed. New York : W.H. Freeman, 105
6. connecting you with information,
support and your community
Student work
A differentiable function from R² to R
should have not breaks in its graph as
well as a well-defined plane tangent at
each point of the graph (Marsden &
Tromba, 2012)
References
Marsden, J. E., Tromba, A. J.(2012)
Vector calculus, 6th ed., International
ed. New York : W.H. Freeman, 105
Source text
Intuitively we know from our work in
Section 2.2 that a continuous function is
one that has no breaks in its graph. A
differentiable function from R² to R ought
to be such that not only are there no
breaks in its graph, but there is a well-
defined plane tangent to the graph at each
point.
References
Marsden, J. E., Tromba, A. J.(2012)
Vector calculus, 6th ed., International ed.
New York : W.H. Freeman, 105
Is this Plagiarism?
Example 1
7. connecting you with information,
support and your community
Source text
Although infinite, a vector space may
have the property that all of its vectors
can be built up from a fixed set of
finitely many of its vectors using vector
addition and scalar multiplication.
References
Szabo, F (2009) Linear algebra : an
introduction using Mathematica, San
Diego : Harcourt Academic Press, 255
Student work
While they are infinite, a vector space
may have the property that all of its
vectors can be built up from a fixed set
of finitely many of its vectors using
vector addition and scalar
multiplication.
References
Szabo, F (2009) Linear algebra : an
introduction using Mathematica, San
Diego : Harcourt Academic Press, 255
Is this Plagiarism?
Example 2
8. connecting you with information,
support and your community
Source text
Although infinite, a vector space may
have the property that all of its vectors
can be built up from a fixed set of
finitely many of its vectors using vector
addition and scalar multiplication.
References
Szabo, F (2009) Linear algebra : an
introduction using Mathematica, San
Diego : Harcourt Academic Press, 255
Student work
While they are infinite, a vector space
may have the property that all of its
vectors can be built up from a fixed set
of finitely many of its vectors using
vector addition and scalar
multiplication.
References
Szabo, F (2009) Linear algebra : an
introduction using Mathematica, San
Diego : Harcourt Academic Press, 255
Is this Plagiarism?
Example 2
Word for word plagiarism:
Although the reference has
been given, there are no in-
text citations or quotation
marks.
9. connecting you with information,
support and your community
Is this Plagiarism?
Example 3
Source text
There is often a gap between
mathematical theory and its practical
implementation—Gauss-Jordan
elimination and Gaussian elimination
being good examples. The problem is that
computers generally approximate
numbers, thereby introducing roundoff
errors, so unless precautions are taken,
successive calculations may degrade an
answer to a degree that makes it useless.
References
Anton, H. (1994), Elementary Linear
Algebra, 10th ed. Hoboken:John Wiley and
Sons
Student work
Computer calculations can make the
practical application of mathematical
theory difficult, for example in the case of
Gauss-Jordan elimination. Computers
approximate numbers in calculation
results leading to roundoff errors which
may progressively degrade the answers
gained from the calculations.
10. connecting you with information,
support and your community
Is this Plagiarism?
Example 3
Source text
There is often a gap between
mathematical theory and its practical
implementation—Gauss-Jordan
elimination and Gaussian elimination
being good examples. The problem is that
computers generally approximate
numbers, thereby introducing roundoff
errors, so unless precautions are taken,
successive calculations may degrade an
answer to a degree that makes it useless.
References
Anton, H. (1994), Elementary Linear
Algebra, 10th ed. Hoboken:John Wiley and
Sons
Student work
Computer calculations can make the
practical application of mathematical
theory difficult, for example in the case of
Gauss-Jordan elimination. Computers
approximate numbers in calculation
results leading to roundoff errors which
may progressively degrade the answers
gained from the calculations.
Paraphrasing plagiarism:
They have reworded the
source and not given an in-
text citation or reference.
11. connecting you with information,
support and your community
Is this Plagiarism?
Example 4
Source text
The axioms of congruence, a sample of
which was given in 1.26 can be extended
in a natural manner from plane geometry
to solid geometry. In space, an isometry
(Weyl’s “congruence”) is still any
transformation that preserves length so
that a line segment PQ is transformed into
a congruent segment P’ Q’.
References
Coxeter, H. S. M. (1969), Introduction to
geometry, 2nd ed., New York: John Wiley
and Sons, 96-97
Student work
The axioms of congruence can be
used in solid geometry in the same
way as in plane geometry. As
Coxeter (1969) notes “In space, an
isometry (Weyl’s “congruence”) is
still any transformation that
preserves length so that a line
segment PQ is transformed into a
congruent segment P’ Q’”.
References
Coxeter, H. S. M. (1969),
Introduction to geometry, 2nd ed.,
New York: John Wiley and Sons, 96-
97
12. connecting you with information,
support and your community
Is this Plagiarism?
Example 4
Source text
The axioms of congruence, a sample of
which was given in 1.26 can be extended
in a natural manner from plane geometry
to solid geometry. In space, an isometry
(Weyl’s “congruence”) is still any
transformation that preserves length so
that a line segment PQ is transformed into
a congruent segment P’ Q’.
References
Coxeter, H. S. M. (1969), Introduction to
geometry, 2nd ed., New York: John Wiley
and Sons, 96-97
Student work
The axioms of congruence can be
used in solid geometry in the same
way as in plane geometry. As
Coxeter (1969) notes “In space, an
isometry (Weyl’s “congruence”) is
still any transformation that
preserves length so that a line
segment PQ is transformed into a
congruent segment P’ Q’”.
References
Coxeter, H. S. M. (1969),
Introduction to geometry, 2nd ed.,
New York: John Wiley and Sons, 96-
97
13. connecting you with information,
support and your community
4 TOP TIPS to avoid plagiarism
1. keep a note of everything you read in case you want to
refer to it later
14. connecting you with information,
support and your community
4 TOP TIPS to avoid plagiarism
1. keep a note of everything you read in case you want to
refer to it later
2. record full references as you go along rather than trying to
compile a list after you have completed your assignment
15. connecting you with information,
support and your community
4 TOP TIPS to avoid plagiarism
1. keep a note of everything you read in case you want to
refer to it later
2. record full references as you go along rather than trying to
compile a list after you have completed your assignment
3. always write down the page number in your notes when
copying directly from the text
16. connecting you with information,
support and your community
4 TOP TIPS to avoid plagiarism
1. keep a note of everything you read in case you want to
refer to it later
2. record full references as you go along rather than trying to
compile a list after you have completed your assignment
3. always write down the page number in your notes when
copying directly from the text
4. make sure that anyone reading your work can use your
references to locate the original source
17. connecting you with information,
support and your community
Where can I get more help with
referencing?
Library online guide to referencing
PLATO (Plagiarism Teaching Online)
EndNote Online reference management
software
Departmental guidance
18. connecting you with information,
support and your community
Finding and using images:
copyright
• Copyright protects the physical expression of ideas in any fixed form
(including text, photographs, music, films and web pages)
• Both published and unpublished works are protected and the
copyright is normally owned by the creator(s) of the work. The
duration of copyright protection varies depending on the medium; for
images it is usually the lifetime of the creator/owner +70 years
• Although limited use of protected material in an educational context
is permitted by the law, it is always best to assume that any third
party material you use in your poster will need to be cleared for
copyright
19. connecting you with information,
support and your community
You can find legally available images through a variety of
different sources, including:
Finding and using images:
sources for images
Allows for the sharing of creative works under a series of standard
licences which specify exactly how the material can be reused.
Includes a powerful search tool that allows you to look for material
made available under a Creative Commons licence.
20. connecting you with information,
support and your community
You can find legally available images through a variety of
different sources, including:
Finding and using images:
sources for images
Allows for the sharing of creative works under a series of standard
licences which specify exactly how the material can be reused.
Includes a powerful search tool that allows you to look for material
made available under a Creative Commons licence.
An online repository of free-use images, sound and other media
files, which brings together content from the various projects of the
Wikimedia Foundation. material is not always permitted for use
under UK copyright law, so double-check the copyright status of any
items you want to use.
21. connecting you with information,
support and your community
You can find legally available images through a variety of
different sources, including:
Finding and using images:
sources for images
Allows for the sharing of creative works under a series of standard
licences which specify exactly how the material can be reused.
Includes a powerful search tool that allows you to look for material
made available under a Creative Commons licence.
An online repository of free-use images, sound and other media
files, which brings together content from the various projects of the
Wikimedia Foundation. Material is not always permitted for use
under UK copyright law, so double-check the copyright status of any
items you want to use.
A photo-sharing site where many users upload images they have
created with Creative Commons licences. You can limit your
search results to reusable material by selecting Creative Commons
from the ‘licenses’ dropdown or Advanced Search options
22. connecting you with information,
support and your community
Finding and using images: good
practice
• Where possible you should produce your own diagrams and tables
rather than copying them directly from other sources
• If you do want to use someone else’s image or diagram, remember
that it may be protected under copyright and you may need to ask
permission from the rights holder. If you use it without referencing it,
this also constitutes plagiarism
• If you do need to use someone else’s image, make sure that it has
the appropriate copyright licence attached and you correctly
reference it as you would any other source
23. connecting you with information,
support and your community
You need to reference an image in the same way that you
would reference a book or journal article
This image was found on
What information would you need to include in the reference?
Finding and using images:
attributing images
Wikipedia
24. connecting you with information,
support and your community
• If you are using someone else’s image, the least amount of information
you will need to include is:
– The creator’s information
– A link to the original source
– The date accessed
• In the Harvard style the recommended format is as follows:
Artist/Photographer's name (if known), Year of production. Title of
image. [type of medium] Collection Details as available (Collection,
Document number, Geographical Town/Place: Name of
Library/Archive/Repository).
• If the image is licensed under Creative Commons, you should also
include the licence type, e.g. used under a Creative Commons
Attribution 3.0 (http://creativecommons.org/licenses/by/3.0/)
Finding and using images:
attributing images
25. connecting you with information,
support and your community
Finding and using images:
attributing images
Reference List
Dickau, R., 2008. 3D Hilbert Curve with colour showing progression . [image online] Available through: Wikipedia<
http://en.wikipedia.org/wiki/Hilbert_curve#mediaviewer/File:Hilbert3d-step3.png > [Accessed 31 October 2014]. Used
under a Creative Commons Attribution 3.0 (http://creativecommons.org/licenses/by-sa/3.0/)
Fig. 1 3D Hilbert Curve with colour
showing progression (2008)
26. connecting you with information,
support and your community
For more help with referencing go to:
http://www2.warwick.ac.uk/services/library/using/guidance-
training