SET
A set is a well defined collection of objects, called the “elements” or “members” of the set.
A specific set can be defined in two ways-
If there are only a few elements, they can be listed individually, by writing them between curly braces ‘{ }’ and placing commas in between. E.g.- {1, 2, 3, 4, 5}
The second way of writing set is to use a property that defines elements of the set.
e.g.- {x | x is odd and 0 < x < 100}
If x is an element o set A, it can be written as ‘x A’
If x is not an element of A, it can be written as ‘x A’
Special types of sets-
Standard notations used to define some sets:
N- set of all natural numbers
Z- set of all integers
Q- set of all rational numbers
R- set of all real numbers
C- set of all complex numbers
TYPES OF SETS
-subset
-singleton set
-universal set
-empty set
-finite set
-infinte set
-eual set
-disjoint set
-cardinal set
-power set
OPERATIONS ON SET
The four basic operations are:
1. Union of Sets
2. Intersection of sets
3. Complement of the Set
4. Cartesian Product of sets
Union of two given sets is the smallest set which contains all the elements of both the sets.
A B = {x | x A or x B}
Let a and b are sets, the intersection of two sets A and B, denoted by A B is the set consisting of elements which are in A as well as in B
A B = {X | x A and x B}
If A B= , the sets are said to be disjoint.
If U is a universal set containing set A, then U-A is called complement of a set.
SET
A set is a well defined collection of objects, called the “elements” or “members” of the set.
A specific set can be defined in two ways-
If there are only a few elements, they can be listed individually, by writing them between curly braces ‘{ }’ and placing commas in between. E.g.- {1, 2, 3, 4, 5}
The second way of writing set is to use a property that defines elements of the set.
e.g.- {x | x is odd and 0 < x < 100}
If x is an element o set A, it can be written as ‘x A’
If x is not an element of A, it can be written as ‘x A’
Special types of sets-
Standard notations used to define some sets:
N- set of all natural numbers
Z- set of all integers
Q- set of all rational numbers
R- set of all real numbers
C- set of all complex numbers
TYPES OF SETS
-subset
-singleton set
-universal set
-empty set
-finite set
-infinte set
-eual set
-disjoint set
-cardinal set
-power set
OPERATIONS ON SET
The four basic operations are:
1. Union of Sets
2. Intersection of sets
3. Complement of the Set
4. Cartesian Product of sets
Union of two given sets is the smallest set which contains all the elements of both the sets.
A B = {x | x A or x B}
Let a and b are sets, the intersection of two sets A and B, denoted by A B is the set consisting of elements which are in A as well as in B
A B = {X | x A and x B}
If A B= , the sets are said to be disjoint.
If U is a universal set containing set A, then U-A is called complement of a set.
This presentation is an introduction to Exponents. Students will begin with repeated multiplication. They will then be reminded about a base an exponent. They will learn the term Exponential Form.
Introduction to Sets and Set Operations. The presentation include contents of a KWLH Chart, Essential Questions, and Self-Assessment Questions. With exploration and formative assessments.
Sections Included:
1. Collection
2. Types of Collection
3. Sets
4. Commonly used Sets in Maths
5. Notation
6. Different Types of Sets
7. Venn Diagram
8. Operation on sets
9. Properties of Union of Sets
10. Properties of Intersection of Sets
11. Difference in Sets
12. Complement of Sets
13. Properties of Complement Sets
14. De Morgan’s Law
15. Inclusion Exclusion Principle
This presentation is an introduction to Exponents. Students will begin with repeated multiplication. They will then be reminded about a base an exponent. They will learn the term Exponential Form.
Introduction to Sets and Set Operations. The presentation include contents of a KWLH Chart, Essential Questions, and Self-Assessment Questions. With exploration and formative assessments.
Sections Included:
1. Collection
2. Types of Collection
3. Sets
4. Commonly used Sets in Maths
5. Notation
6. Different Types of Sets
7. Venn Diagram
8. Operation on sets
9. Properties of Union of Sets
10. Properties of Intersection of Sets
11. Difference in Sets
12. Complement of Sets
13. Properties of Complement Sets
14. De Morgan’s Law
15. Inclusion Exclusion Principle
After going through this module, you are expected to:
• define well-defined sets and other terms associated to sets
• write a set in two different forms;
• determine the cardinality of a set;
• enumerate the different subsets of a set;
• distinguish finite from infinite sets; equal sets from equivalent sets
• determine the union, intersection of sets and the difference of two sets
Lesson2_MathematicalLanguageAndSymbols _Lesson 2.1_VariablesAndTheLanguageOfSets.pdf
This pdf tackles about the Mathematical Language and Symbols and the Variables and the Language of Sets.
This presentation contains definitions, tables, illustrations as well as examples.
I hope you'll find this helpful.
This slide help in the study of those students who are enrolled in BSCS BSC computer MSCS. In this slide introduction about discrete structure are explained. As soon as I upload my next lecture on proposition logic.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. What is Sets?
A set is any well-defined collection of
objects, called the elements or members of
the set.
Sets are used to group objects together.
Often, but not always, the objects in a set
have similar properties. In computer science,
sets are basic data structures
3. A set is an unordered collection of objects,
called elements or members of the set. A set
is said to contain its elements.
We write a ∈ A to denote that a is an
element of the set A. The notation a ∉ A
denotes that a is not an element of the set
A.
4. 1. Sets symbol
Sets are denoted by using uppercase letters
for example A, B, C, D.
Elements of sets are denoted by using
lowercase letters for example a, b, c, d or 1,
2, 3, 4.
Groups of sets are denoted by using bracket
"{" and "}", for example { … }, { … }.
Each elements of sets is separated by using
comma ",", for example { 1, 2, 3, 4 } … .
2. Example of sets A = { 1, 2, 3, 4 } or B = { a, b, c,
d, e }
5.
6. Top 3 actors in the Philippines
Top 3 K-pop Singers
Top 3 American Songs
7.
8. N: Sets of Natural Numbers (Counting numbers).
objects. Natural numbers do not include 0 or negative
numbers. Ex. 1,2,3,4…….. ∞
Z: Sets of all Integers. Whole number (not a fractional
number) that can be positive, negative, or zero.
Z +
: Sets of all positive Integers
Z -
: Sets of all negative Integers
9. Q: Sets of all Rational Numbers. Any number that can be
written as a ratio (or fraction) of two integers is a
rational number.
R: Sets of Real Numbers. The real numbers include
natural numbers or counting numbers, whole numbers,
integers, rational numbers (fractions and repeating or
terminating decimals), and irrational numbers.
11. The empty set There is a special set that
has no elements. This set is called the
empty set, or null set, and is denoted
by ∅ .
The empty set can also be denoted by { }.
Often, a set of elements with certain
properties turns out to be the null set.
A: Set of prime numbers between 24 and
28
B: { }
12.
13. 1. Write set V which is represented letters between C and J in
the English Alphabet.
2. Write set O which is represented odd positive integers less
than 10.
3. Write set E which is represented even integers greater than
10 and less than 20.
4. Write set A which is represented positive integers greater
than 95 and equal to 100
5. Write set F which is represented positive odd numbers
between 5 and 7.
14. Venn diagrams
Sets can be represented graphically using Venn diagrams,
named after the English mathematician John Venn, who
introduced their use in 1881. In Venn diagrams the
universal set U, which contains all the objects under
consideration, is represented by a rectangle. (Note that the
universal set varies depending on which objects are of
interest .)
15. Inside this rectangle, circles or other geometrical figures
are used to represent sets. Sometimes points are used to
represent the particular elements of the set. Venn diagrams
are often used to indicate the relationships between sets. We
show how a Venn diagram can be used in an example.
18. Union
The union of two sets is a set containing all elements that are in A or
in B (possibly both).
19. Commutative Law: The order of the sets in which the operations
are done, does not change the result.
20. Associative Law: The grouping of two or more sets performing any operation
does not affect the next set of grouping.
21. Identity Law: In logic, the law of identity states that each thing is identical with
itself.
22. Idempotent: The union of any set A with itself gives the set A. Is the property of
certain operations in mathematics that can be applied multiple times without
changing the result. Intersection and union of any set with itself revert the same set
A U A = A
23. Law of U: Universal set is a set which has elements of all the related
sets, without any repetition of elements.
24.
25. Commutative Law: The order of the sets in which the operations
are done, does not change the result.
26. Associative Law: The grouping of two or more sets performing any operation
does not affect the next set of grouping.
27. Properties of Intersection of Sets
Idempotent: The union of any set A with itself gives the set A. Is the property of
certain operations in mathematics that can be applied multiple times without changing
the result. Intersection and union of any set with itself revert the same set.
28. Law of U: Universal set is a set which has elements of all the related
sets, without any repetition of elements.
29.
30.
31.
32.
33.
34. Algebra of Sets
Sets under the operations of union, intersection, and
complement satisfy various laws (identities) which are listed in Table 1.
Idempotent Laws (a) A ∪ A = A (b) A ∩ A = A
Associative Laws (a) (A ∪ B) ∪ C = A ∪ (B ∪ C) (b) (A ∩ B) ∩ C = A ∩ (B ∩ C)
Commutative Laws (a) A ∪ B = B ∪ A (b) A ∩ B = B ∩ A
Distributive Laws (a) A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C) (b) A ∩ (B ∪ C) =(A ∩ B) ∪ (A ∩ C)
De Morgan's Laws (a) (A ∪B)
c
=A
c
∩ B
c
(b) (A ∩B)
c
=A
c
∪ B
c
Identity Laws
(a) A ∪ ∅ = A
(b) A ∪ U = U
(c) A ∩ U =A
(d) A ∩ ∅ = ∅
Complement Laws
(a) A ∪ A
c
= U
(b) A ∩ A
c
= ∅
(c) U
c
= ∅
(d) ∅
c
= U
Involution Law (a) (A
c
)
c
= A