The document discusses algorithms, flowcharts, and decision structures. It provides examples of writing pseudocode and algorithms to solve problems. It also explains how to represent algorithms visually using flowcharts. Key points include:
- An algorithm is a sequence of steps to solve a problem using a programming language.
- Pseudocode is an informal language similar to English used to develop algorithms.
- Flowcharts use symbols to represent program logic and the flow of data through a process.
- Decision structures like if-then-else statements allow programs to perform different actions based on conditional tests.
- Nested if statements allow multiple conditions to be checked sequentially.
Membahas mengenai materi Set Instruksi dan Teknik Pengalamatan atau Addressing Mode yang mana PPT ini dibuat untuk menyelesaikan tugas Mata Kuliah Architecture Computer & Assembly prodi Teknik Informatika. Semoga apa yang dipaparkan bisa bermanfaat bagi kalian yang membaca.
SOAL LATIHAN PENILAIAN AKHIR SEMESTER (PAS) KIMIA KELAS XIIdasi anto
File ini berisi latihan soal PAS kimia kelas XII. silahkan digunakan untuk belajar dalam rangka mempersiapkan PAS. siapa tahu dapat membantu. silahkan dishare juga
dapat digunakan bapak ibu guru maupun siswa
Membahas mengenai materi Set Instruksi dan Teknik Pengalamatan atau Addressing Mode yang mana PPT ini dibuat untuk menyelesaikan tugas Mata Kuliah Architecture Computer & Assembly prodi Teknik Informatika. Semoga apa yang dipaparkan bisa bermanfaat bagi kalian yang membaca.
SOAL LATIHAN PENILAIAN AKHIR SEMESTER (PAS) KIMIA KELAS XIIdasi anto
File ini berisi latihan soal PAS kimia kelas XII. silahkan digunakan untuk belajar dalam rangka mempersiapkan PAS. siapa tahu dapat membantu. silahkan dishare juga
dapat digunakan bapak ibu guru maupun siswa
Best Techniques To Design Programs - Program Designing TechniquesTech
Now check the Powerpoint presentation about the best techniques to design programs and softwares. For more tutorials and guides visit : www.techora.net
These techniques are also known as the problem solving techniques.These are three types :
1- Pseudocode
2- Algorithm
3- Flowchart
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
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- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
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We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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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
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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
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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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;
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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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.
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. ALGORITHMS AND FLOWCHARTS
A typical programming task can be divided into
two phases:
Problem solving phase
produce an ordered sequence of steps that describe
solution of problem
this sequence of steps is called an algorithm
Implementation phase
implement the program in some programming
language
3. Steps in Problem Solving
First produce a general algorithm (one can use
pseudocode)
Refine the algorithm successively to get step by
step detailed algorithm that is very close to a
computer language.
Pseudocode is an artificial and informal
language that helps programmers develop
algorithms. Pseudocode is very similar to
everyday English.
4. Pseudocode & Algorithm
Example 1: Write an algorithm to
determine a student’s final grade and
indicate whether it is passing or failing.
The final grade is calculated as the
average of four marks.
5. Pseudocode & Algorithm
Pseudocode:
Input a set of 4 marks
Calculate their average by summing and dividing
by 4
if average is below 50
Print “FAIL”
else
Print “PASS”
7. The Flowchart
(Dictionary) A schematic representation of a sequence of
operations, as in a manufacturing process or computer
program.
(Technical) A graphical representation of the sequence
of operations in an information system or program.
Information system flowcharts show how data flows from
source documents through the computer to final
distribution to users. Program flowcharts show the
sequence of instructions in a single program or
subroutine. Different symbols are used to draw each
type of flowchart.
8. The Flowchart
A Flowchart
shows logic of an algorithm
emphasizes individual steps and their
interconnections
e.g. control flow from one action to the next
10. Example
PRINT
“PASS”
Step 1: Input M1,M2,M3,M4
Step 2: GRADE ← (M1+M2+M3+M4)/4
Step 3: if (GRADE <50) then
Print “FAIL”
else
Print “PASS”
endif
START
Input
M1,M2,M3,M4
GRADE←(M1+M2+M3+M4)/4
IS
GRADE<5
0
PRINT
“FAIL”
STOP
YN
11. Example 2
Write an algorithm and draw a flowchart to
convert the length in feet to centimeter.
Pseudocode:
Input the length in feet (Lft)
Calculate the length in cm (Lcm) by
multiplying LFT with 30
Print length in cm (LCM)
13. Example 3
Write an algorithm and draw a flowchart that
will read the two sides of a rectangle and
calculate its area.
Pseudocode
Input the width (W) and Length (L) of a rectangle
Calculate the area (A) by multiplying L with W
Print A
14. Example 3
Algorithm
Step 1: Input W,L
Step 2: A ← L x W
Step 3: Print A
START
Input
W, L
A ← L x W
Print
A
STOP
15. Example 4
Write an algorithm and draw a flowchart that
will calculate the roots of a quadratic equation
Hint: d = sqrt ( ), and the roots are:
x1 = (–b + d)/2a and x2 = (–b – d)/2a
2
0ax bx c+ + =
2
4b ac−
16. Example 4
Pseudocode:
Input the coefficients (a, b, c) of the
quadratic equation
Calculate d
Calculate x1
Calculate x2
Print x1 and x2
17. Example 4
Algorithm:
Step 1: Input a, b, c
Step 2: d ← sqrt ( )
Step 3: x1 ← (–b + d) / (2 x a)
Step 4: x2 ← (–b – d) / (2 x a)
Step 5: Print x1, x2
START
Input
a, b, c
d ← sqrt(b x b – 4 x a x c)
Print
x1 ,x2
STOP
x1 ←(–b + d) / (2 x a)
X2 ← (–b – d) / (2 x a)
4b b a c× − × ×
18. DECISION STRUCTURES
The expression A>B is a logical expression
it describes a condition we want to test
if A>B is true (if A is greater than B) we take
the action on left
print the value of A
if A>B is false (if A is not greater than B) we
take the action on right
print the value of B
23. Example 5
Write an algorithm that reads two values, determines the
largest value and prints the largest value with an
identifying message.
ALGORITHM
Step 1: Input VALUE1, VALUE2
Step 2: if (VALUE1 > VALUE2) then
MAX ← VALUE1
else
MAX ← VALUE2
endif
Step 3: Print “The largest value is”, MAX
24. Example 5
MAX ← VALUE1
Print
“The largest value is”,
MAX
STOP
Y N
START
Input
VALUE1,VALUE2
MAX ← VALUE2
is
VALUE1>VALUE2
25. NESTED IFS
One of the alternatives within an IF–
THEN–ELSE statement
may involve further IF–THEN–ELSE
statement
26. Example 6
Write an algorithm that reads three
numbers and prints the value of the
largest number.
27. Example 6
Step 1: Input N1, N2, N3
Step 2: if (N1>N2) then
if (N1>N3) then
MAX ← N1 [N1>N2, N1>N3]
else
MAX ← N3 [N3>N1>N2]
endif
else
if (N2>N3) then
MAX ← N2 [N2>N1, N2>N3]
else
MAX ← N3 [N3>N2>N1]
endif
endif
Step 3: Print “The largest number is”, MAX
29. Example 7
Write and algorithm and draw a flowchart
to
a) read an employee name (NAME),
overtime hours worked (OVERTIME),
hours absent (ABSENT) and
b) determine the bonus payment
(PAYMENT).
30. Example 7
Bonus Schedule
OVERTIME – (2/3)*ABSENT Bonus Paid
>40 hours
>30 but ≤ 40 hours
>20 but ≤ 30 hours
>10 but ≤ 20 hours
≤ 10 hours
$50
$40
$30
$20
$10
31. Step 1: Input NAME,OVERTIME,ABSENT
Step 2: if (OVERTIME–(2/3)*ABSENT > 40) then
PAYMENT ← 50
else if (OVERTIME–(2/3)*ABSENT > 30) then
PAYMENT ← 40
else if (OVERTIME–(2/3)*ABSENT > 20) then
PAYMENT ← 30
else if (OVERTIME–(2/3)*ABSENT > 10) then
PAYMENT ←20
else
PAYMENT ← 10
endif
Step 3: Print “Bonus for”, NAME “is $”, PAYMENT