SlideShare uma empresa Scribd logo

Lecture 2

•Transferir como PPT, PDF•
•
S
sajinsc
Tecnologia
1 de 51
CS 332: Algorithms Asymptotic Performance
Review: Asymptotic Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Review: Running Time ,[object Object],[object Object],[object Object],[object Object]
An Example: Insertion Sort ,[object Object],[object Object]
An Example: Insertion Sort ,[object Object],[object Object],30 10 40 20 1 2 3 4 i =  j =  key =  A[j] =  A[j+1] = 
An Example: Insertion Sort ,[object Object],[object Object],30 10 40 20 1 2 3 4 i = 2 j = 1 key = 10 A[j] = 30 A[j+1] = 10
An Example: Insertion Sort ,[object Object],[object Object],30 30 40 20 1 2 3 4 i = 2 j = 1 key = 10 A[j] = 30 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],30 30 40 20 1 2 3 4 i = 2 j = 1 key = 10 A[j] = 30 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],30 30 40 20 1 2 3 4 i = 2 j = 0 key = 10 A[j] =  A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],30 30 40 20 1 2 3 4 i = 2 j = 0 key = 10 A[j] =  A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 2 j = 0 key = 10 A[j] =  A[j+1] = 10
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 0 key = 10 A[j] =  A[j+1] = 10
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 0 key = 40 A[j] =  A[j+1] = 10
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 0 key = 40 A[j] =  A[j+1] = 10
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 2 key = 40 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 2 key = 40 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 3 j = 2 key = 40 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 4 j = 2 key = 40 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 4 j = 3 key = 20 A[j] = 40 A[j+1] = 20
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 20 1 2 3 4 i = 4 j = 3 key = 20 A[j] = 40 A[j+1] = 20
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 40 1 2 3 4 i = 4 j = 3 key = 20 A[j] = 40 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 40 1 2 3 4 i = 4 j = 3 key = 20 A[j] = 40 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 40 1 2 3 4 i = 4 j = 3 key = 20 A[j] = 40 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 40 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 40 40 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 40
An Example: Insertion Sort ,[object Object],[object Object],10 30 30 40 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],10 30 30 40 1 2 3 4 i = 4 j = 2 key = 20 A[j] = 30 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],10 30 30 40 1 2 3 4 i = 4 j = 1 key = 20 A[j] = 10 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],10 30 30 40 1 2 3 4 i = 4 j = 1 key = 20 A[j] = 10 A[j+1] = 30
An Example: Insertion Sort ,[object Object],[object Object],10 20 30 40 1 2 3 4 i = 4 j = 1 key = 20 A[j] = 10 A[j+1] = 20
An Example: Insertion Sort ,[object Object],[object Object],10 20 30 40 1 2 3 4 i = 4 j = 1 key = 20 A[j] = 10 A[j+1] = 20 Done!
Animating Insertion Sort ,[object Object],[object Object]
Insertion Sort ,[object Object],[object Object],What is the precondition for this loop?
Insertion Sort ,[object Object],[object Object],How many times will this loop execute?
Insertion Sort ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analyzing Insertion Sort ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Upper Bound Notation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Insertion Sort Is O(n 2 ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Big O Fact ,[object Object],[object Object],[object Object],[object Object],[object Object]
Lower Bound Notation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Asymptotic Tight Bound ,[object Object],[object Object],[object Object],[object Object]
Practical Complexity
Practical Complexity
Practical Complexity
Practical Complexity
Practical Complexity
Other Asymptotic Notations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Up Next ,[object Object],[object Object],[object Object]

Recomendados

Insertion sort
Insertion sortInsertion sort
Insertion sortRajendran
 
Matlab assignment
Matlab assignmentMatlab assignment
Matlab assignmentRutvik
 
Introduction to algorithms
Introduction to algorithmsIntroduction to algorithms
Introduction to algorithmsDr Sandeep Kumar Poonia
 
Chapter 06
Chapter 06Chapter 06
Chapter 06ramiz100111
 
Ma2002 1.14 rm
Ma2002 1.14 rmMa2002 1.14 rm
Ma2002 1.14 rmRamakrishna Paduchuri
 
Dr hasany 2467_16649_1_lec-2-zabist
Dr hasany 2467_16649_1_lec-2-zabistDr hasany 2467_16649_1_lec-2-zabist
Dr hasany 2467_16649_1_lec-2-zabistGatewayggg Testeru
 
Ma2002 1.9 rm
Ma2002 1.9 rmMa2002 1.9 rm
Ma2002 1.9 rmRamakrishna Paduchuri
 
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-ssusere0a682
 

Recomendados

Insertion sort
Insertion sortInsertion sort
Insertion sortRajendran
 
Matlab assignment
Matlab assignmentMatlab assignment
Matlab assignmentRutvik
 
Introduction to algorithms
Introduction to algorithmsIntroduction to algorithms
Introduction to algorithmsDr Sandeep Kumar Poonia
 
Chapter 06
Chapter 06Chapter 06
Chapter 06ramiz100111
 
Ma2002 1.14 rm
Ma2002 1.14 rmMa2002 1.14 rm
Ma2002 1.14 rmRamakrishna Paduchuri
 
Dr hasany 2467_16649_1_lec-2-zabist
Dr hasany 2467_16649_1_lec-2-zabistDr hasany 2467_16649_1_lec-2-zabist
Dr hasany 2467_16649_1_lec-2-zabistGatewayggg Testeru
 
Ma2002 1.9 rm
Ma2002 1.9 rmMa2002 1.9 rm
Ma2002 1.9 rmRamakrishna Paduchuri
 
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-
ゲーム理論NEXT 線形計画問題第5回 -双対定理証明-ssusere0a682
 
Luismruedas
LuismruedasLuismruedas
Luismruedasguesta14c
 
Chistes De Medicos Diapositivas
Chistes De Medicos DiapositivasChistes De Medicos Diapositivas
Chistes De Medicos Diapositivasd.sole
 
Asymptotic analysis
Asymptotic analysisAsymptotic analysis
Asymptotic analysisSoujanya V
 
Object oriented techniques
Object oriented techniquesObject oriented techniques
Object oriented techniquesLearnNowOnline
 
Practica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias HumanasPractica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias HumanasNanettt
 
Skiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notationSkiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notationzukun
 
lecture 30
lecture 30lecture 30
lecture 30sajinsc
 
lecture 5
lecture 5lecture 5
lecture 5sajinsc
 
Lec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrencesLec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrencesAnkita Karia
 
D&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.pptD&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.pptHaniaKhan75
 
insertion sort.ppt
insertion sort.pptinsertion sort.ppt
insertion sort.pptJawadHaider36
 
Lecture12,13,14.pdf
Lecture12,13,14.pdfLecture12,13,14.pdf
Lecture12,13,14.pdfzainab278016
 
Data Structure Insertion sort
Data Structure Insertion sort Data Structure Insertion sort
Data Structure Insertion sort Mahesh Dheravath
 
Problem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptxProblem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptxhappycocoman
 
lec2.ppt
lec2.pptlec2.ppt
lec2.pptRajKamal95773
 
lec2.ppt
lec2.pptlec2.ppt
lec2.pptSonuMittal18
 
Engineering ppt by venay magen
Engineering ppt by venay magenEngineering ppt by venay magen
Engineering ppt by venay magenvenaymagen19
 
Insertion sort analysis
Insertion sort analysisInsertion sort analysis
Insertion sort analysisKumar
 
Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"Ra'Fat Al-Msie'deen
 
Insertion Sort
Insertion SortInsertion Sort
Insertion SortGowriKumar Chandramouli
 
Prelude to halide_public
Prelude to halide_publicPrelude to halide_public
Prelude to halide_publicFixstars Corporation
 
Sortings
SortingsSortings
Sortingsmaamir farooq
 

Mais conteúdo relacionado

Destaque

Chistes De Medicos Diapositivas
Chistes De Medicos DiapositivasChistes De Medicos Diapositivas
Chistes De Medicos Diapositivasd.sole
 
Asymptotic analysis
Asymptotic analysisAsymptotic analysis
Asymptotic analysisSoujanya V
 
Object oriented techniques
Object oriented techniquesObject oriented techniques
Object oriented techniquesLearnNowOnline
 
Practica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias HumanasPractica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias HumanasNanettt
 
Skiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notationSkiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notationzukun
 
lecture 30
lecture 30lecture 30
lecture 30sajinsc
 
lecture 5
lecture 5lecture 5
lecture 5sajinsc
 
Lec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrencesLec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrencesAnkita Karia
 

Destaque (9)

Luismruedas
LuismruedasLuismruedas
Luismruedas
 
Chistes De Medicos Diapositivas
Chistes De Medicos DiapositivasChistes De Medicos Diapositivas
Chistes De Medicos Diapositivas
 
Asymptotic analysis
Asymptotic analysisAsymptotic analysis
Asymptotic analysis
 
Object oriented techniques
Object oriented techniquesObject oriented techniques
Object oriented techniques
 
Practica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias HumanasPractica - Organización de la Facultad de Letras y Ciencias Humanas
Practica - Organización de la Facultad de Letras y Ciencias Humanas
 
Skiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notationSkiena algorithm 2007 lecture02 asymptotic notation
Skiena algorithm 2007 lecture02 asymptotic notation
 
lecture 30
lecture 30lecture 30
lecture 30
 
lecture 5
lecture 5lecture 5
lecture 5
 
Lec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrencesLec 5 asymptotic notations and recurrences
Lec 5 asymptotic notations and recurrences
 

Semelhante a Lecture 2

D&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.pptD&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.pptHaniaKhan75
 
Lecture12,13,14.pdf
Lecture12,13,14.pdfLecture12,13,14.pdf
Lecture12,13,14.pdfzainab278016
 
Data Structure Insertion sort
Data Structure Insertion sort Data Structure Insertion sort
Data Structure Insertion sort Mahesh Dheravath
 
Problem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptxProblem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptxhappycocoman
 
Engineering ppt by venay magen
Engineering ppt by venay magenEngineering ppt by venay magen
Engineering ppt by venay magenvenaymagen19
 
Insertion sort analysis
Insertion sort analysisInsertion sort analysis
Insertion sort analysisKumar
 
Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"Ra'Fat Al-Msie'deen
 
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-ssusere0a682
 
Top school in delhi ncr
Top school in delhi ncrTop school in delhi ncr
Top school in delhi ncrEdhole.com
 
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming Badhon Biswas
 
Data Structure: Algorithm and analysis
Data Structure: Algorithm and analysisData Structure: Algorithm and analysis
Data Structure: Algorithm and analysisDr. Rajdeep Chatterjee
 
AB-RNA-Nussinov-2011
AB-RNA-Nussinov-2011AB-RNA-Nussinov-2011
AB-RNA-Nussinov-2011Paula Tataru
 

Semelhante a Lecture 2 (20)

D&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.pptD&AA Lecture 2 insertion sort.ppt
D&AA Lecture 2 insertion sort.ppt
 
insertion sort.ppt
insertion sort.pptinsertion sort.ppt
insertion sort.ppt
 
Lecture12,13,14.pdf
Lecture12,13,14.pdfLecture12,13,14.pdf
Lecture12,13,14.pdf
 
Data Structure Insertion sort
Data Structure Insertion sort Data Structure Insertion sort
Data Structure Insertion sort
 
Problem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptxProblem Solving using codes Strings-Extra.pptx
Problem Solving using codes Strings-Extra.pptx
 
lec2.ppt
lec2.pptlec2.ppt
lec2.ppt
 
lec2.ppt
lec2.pptlec2.ppt
lec2.ppt
 
Engineering ppt by venay magen
Engineering ppt by venay magenEngineering ppt by venay magen
Engineering ppt by venay magen
 
Insertion sort analysis
Insertion sort analysisInsertion sort analysis
Insertion sort analysis
 
Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"Algorithms - "Chapter 2 getting started"
Algorithms - "Chapter 2 getting started"
 
Insertion Sort
Insertion SortInsertion Sort
Insertion Sort
 
Prelude to halide_public
Prelude to halide_publicPrelude to halide_public
Prelude to halide_public
 
Sortings
SortingsSortings
Sortings
 
Time complexity
Time complexityTime complexity
Time complexity
 
Dsa sorting
Dsa sortingDsa sorting
Dsa sorting
 
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-
ゲーム理論BASIC 演習32 -時間決めゲーム：交渉ゲーム-
 
Top school in delhi ncr
Top school in delhi ncrTop school in delhi ncr
Top school in delhi ncr
 
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming
Real Life Uses of a Program (Tik Tok Toy Game) useing by C Programming
 
Data Structure: Algorithm and analysis
Data Structure: Algorithm and analysisData Structure: Algorithm and analysis
Data Structure: Algorithm and analysis
 
AB-RNA-Nussinov-2011
AB-RNA-Nussinov-2011AB-RNA-Nussinov-2011
AB-RNA-Nussinov-2011
 

Mais de sajinsc

lecture 29
lecture 29lecture 29
lecture 29sajinsc
 
lecture 28
lecture 28lecture 28
lecture 28sajinsc
 
lecture 27
lecture 27lecture 27
lecture 27sajinsc
 
lecture 26
lecture 26lecture 26
lecture 26sajinsc
 
lecture 25
lecture 25lecture 25
lecture 25sajinsc
 
lecture 24
lecture 24lecture 24
lecture 24sajinsc
 
lecture 23
lecture 23lecture 23
lecture 23sajinsc
 
lecture 22
lecture 22lecture 22
lecture 22sajinsc
 
lecture 21
lecture 21lecture 21
lecture 21sajinsc
 
lecture 20
lecture 20lecture 20
lecture 20sajinsc
 
lecture 19
lecture 19lecture 19
lecture 19sajinsc
 
lecture 18
lecture 18lecture 18
lecture 18sajinsc
 
lecture 17
lecture 17lecture 17
lecture 17sajinsc
 
lecture 16
lecture 16lecture 16
lecture 16sajinsc
 
lecture 15
lecture 15lecture 15
lecture 15sajinsc
 
lecture 14
lecture 14lecture 14
lecture 14sajinsc
 
lecture 13
lecture 13lecture 13
lecture 13sajinsc
 
lecture 12
lecture 12lecture 12
lecture 12sajinsc
 
lecture 11
lecture 11lecture 11
lecture 11sajinsc
 
lecture 10
lecture 10lecture 10
lecture 10sajinsc
 

Mais de sajinsc (20)

lecture 29
lecture 29lecture 29
lecture 29
 
lecture 28
lecture 28lecture 28
lecture 28
 
lecture 27
lecture 27lecture 27
lecture 27
 
lecture 26
lecture 26lecture 26
lecture 26
 
lecture 25
lecture 25lecture 25
lecture 25
 
lecture 24
lecture 24lecture 24
lecture 24
 
lecture 23
lecture 23lecture 23
lecture 23
 
lecture 22
lecture 22lecture 22
lecture 22
 
lecture 21
lecture 21lecture 21
lecture 21
 
lecture 20
lecture 20lecture 20
lecture 20
 
lecture 19
lecture 19lecture 19
lecture 19
 
lecture 18
lecture 18lecture 18
lecture 18
 
lecture 17
lecture 17lecture 17
lecture 17
 
lecture 16
lecture 16lecture 16
lecture 16
 
lecture 15
lecture 15lecture 15
lecture 15
 
lecture 14
lecture 14lecture 14
lecture 14
 
lecture 13
lecture 13lecture 13
lecture 13
 
lecture 12
lecture 12lecture 12
lecture 12
 
lecture 11
lecture 11lecture 11
lecture 11
 
lecture 10
lecture 10lecture 10
lecture 10
 

Último

The Metaverse: Are We There Yet?
The Metaverse: Are We There Yet?The Metaverse: Are We There Yet?
The Metaverse: Are We There Yet?Mark Billinghurst
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...panagenda
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!Memoori
 
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?Paolo Missier
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Skynet Technologies
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxFIDO Alliance
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfFIDO Alliance
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024Stephen Perrenod
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPTiSEO AI
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...FIDO Alliance
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandIES VE
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Hiroshi SHIBATA
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctBrainSell Technologies
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptxTales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptxFIDO Alliance
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform EngineeringMarcus Vechiato
 
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireMicrosoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireExakis Nelite
 
Breaking Down the Flutterwave Scandal What You Need to Know.pdf
Breaking Down the Flutterwave Scandal What You Need to Know.pdfBreaking Down the Flutterwave Scandal What You Need to Know.pdf
Breaking Down the Flutterwave Scandal What You Need to Know.pdfUK Journal
 
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideCollecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideStefan Dietze
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimaginedpanagenda
 

Último (20)

The Metaverse: Are We There Yet?
The Metaverse: Are We There Yet?The Metaverse: Are We There Yet?
The Metaverse: Are We There Yet?
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!
 
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptx
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage Intacct
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptxTales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform Engineering
 
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireMicrosoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - Questionnaire
 
Breaking Down the Flutterwave Scandal What You Need to Know.pdf
Breaking Down the Flutterwave Scandal What You Need to Know.pdfBreaking Down the Flutterwave Scandal What You Need to Know.pdf
Breaking Down the Flutterwave Scandal What You Need to Know.pdf
 
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideCollecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
 

Lecture 2