This chapter discusses the problem-solving process used to create computer programs. It explains that programmers use a similar approach to solving everyday problems - analyzing the problem, planning an algorithm, and desk-checking the solution. The chapter provides examples of using tools like IPO charts and flowcharts to analyze problems and develop algorithms. It also emphasizes the importance of understanding the problem before creating a solution and testing examples with valid and invalid data.
Anchor object
Document object
Event object
Form and Form Input object
Frame, Frameset, and IFrame objects
Image object etc
Dom hiearchy,managing events
onload and onunload
Using the Onclick Event Handler
Database normalization is the process of structuring a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by Edgar F. Codd as part of his relational model.
Agenda
What Is Normalization?
Why We Use Normalization?
Various Levels Of Normalization
Any Tools For Generate Normalization?
By Harsiddhi Thakkar
If you have any query
Contact me on : harsiddhithakkar94@gmail.com
Introduction, basic terminology, elementary data organization, data structures, data structure operations, abstract data types, ADT, algorithms complexity, time-space-trade-off
One day Workshop on Project Development using Visual Basic 6.0 was handled by Dr. R. Muralidharan on 24-01-2015 (Saturday) at Sri Vasavi College (SFW) for the M.Com (CA) students.
C Tokens, Escape sequence, Delimiters, Variables, Data types, Constants/ Literals, Expressions, Statements and Comments
https://github.com/ashim888/csit-c
Anchor object
Document object
Event object
Form and Form Input object
Frame, Frameset, and IFrame objects
Image object etc
Dom hiearchy,managing events
onload and onunload
Using the Onclick Event Handler
Database normalization is the process of structuring a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by Edgar F. Codd as part of his relational model.
Agenda
What Is Normalization?
Why We Use Normalization?
Various Levels Of Normalization
Any Tools For Generate Normalization?
By Harsiddhi Thakkar
If you have any query
Contact me on : harsiddhithakkar94@gmail.com
Introduction, basic terminology, elementary data organization, data structures, data structure operations, abstract data types, ADT, algorithms complexity, time-space-trade-off
One day Workshop on Project Development using Visual Basic 6.0 was handled by Dr. R. Muralidharan on 24-01-2015 (Saturday) at Sri Vasavi College (SFW) for the M.Com (CA) students.
C Tokens, Escape sequence, Delimiters, Variables, Data types, Constants/ Literals, Expressions, Statements and Comments
https://github.com/ashim888/csit-c
Problem analysis, Algorithms and Flowchart, Coding, Compilation and Execution, History of C, Structure of C program, Debugging, Testing and Documentation
https://github.com/ashim888/csit-c
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- 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.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
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.
2. • Explain the problem-solving process used to create a
computer program
• Analyze a problem
• Complete an IPO chart
• Plan an algorithm using pseudocode and flowcharts
• Desk-check an algorithm
Chapter Objectives
2An Introduction to Programming with C++, Seventh Edition
3. • People solve hundreds of simple problems every day
without thinking about how they do it
• Understanding the thought process involved can help in
solving more complex problems
• You can also use a similar process to design a computer
solution to a problem (computer program)
Problem Solving
3An Introduction to Programming with C++, Seventh Edition
4. • First step in solving a problem: analyze it
– Example: paying and mailing a bill
• Next, you plan, review, implement, and evaluate the
solution
• After this, it may be necessary to modify the solution
Solving Everyday Problems
4An Introduction to Programming with C++, Seventh Edition
5. Solving Everyday Problems (cont’d.)
Figure 2-1 Summary of the analysis and planning steps for
the bill paying problem
5An Introduction to Programming with C++, Seventh Edition
6. Solving Everyday Problems (cont’d.)
Figure 2-2 Modified algorithm for the bill paying problem
6An Introduction to Programming with C++, Seventh Edition
7. • A similar process to everyday problem solving is used to
create computer programs
• A computer program is a solution implemented on a
computer
• There are six steps to creating a computer solution to a
problem
Creating Computer Solutions to Problems
7An Introduction to Programming with C++, Seventh Edition
8. Creating Computer Solutions to Problems
(cont’d.)
Figure 2-3 How to create a computer solution to a problem
8An Introduction to Programming with C++, Seventh Edition
9. • It is essential to understand a problem before creating a
solution to it
• Analyze a problem to:
– Determine the goal of solving it (Output)
– Determine the items needed to achieve that goal (Input)
• Always search first for the output
Step 1−Analyzing the Problem
9An Introduction to Programming with C++, Seventh Edition
10. Step 1−Analyzing the Problem (cont’d.)
Figure 2-4 Problem specification for Treyson Mobley
10An Introduction to Programming with C++, Seventh Edition
11. • Some programmers use an IPO chart to organize and
summarize the results of a problem analysis
– IPO: Input, processing, and output
Step 1−Analyzing the Problem (cont’d.)
Figure 2-5 Partially completed IPO chart
showing the input and output items
11An Introduction to Programming with C++, Seventh Edition
12. • Several readings of the problem may be necessary to
fully understand the problem
• Cross out irrelevant information in the problem
description
Hints for Analyzing Problems
Figure 2-6 Problem specification with
unimportant information crossed out
12An Introduction to Programming with C++, Seventh Edition
13. • Some problem specifications contain incomplete
information
Hints for Analyzing Problems (cont’d.)
Figure 2-7 Problem specification that does
not contain enough information
13An Introduction to Programming with C++, Seventh Edition
14. • Distinguish between information that is missing and
information that is implied
Hints for Analyzing Problems (cont’d.)
Figure 2-8 Problem specification in
which the input is not explicitly stated
14An Introduction to Programming with C++, Seventh Edition
15. • Algorithm: set of instructions that will transform the
problem’s input into its output
– Record in the Processing column of the IPO chart
– Can be written as pseudocode or a flowchart
• Pseudocode: tool programmers use to help plan an
algorithm
– Short English statements
– Not standardized
– Not understandable by a computer
Step 2−Planning the Algorithm
15An Introduction to Programming with C++, Seventh Edition
16. Step 2−Planning the Algorithm (cont’d.)
Figure 2-9 Problem specification and IPO
chart for the Treyson Mobley problem
16An Introduction to Programming with C++, Seventh Edition
17. • Flowcharts are also used to plan an algorithm
– Use standardized symbols
– Symbols connected with flowlines
– Oval: start/stop symbol
• Represents beginning and end of algorithm
– Rectangle: process symbol
• Represents tasks such as calculations
– Parallelogram: input/output symbol
• Represents I/O tasks
Step 2−Planning the Algorithm (cont’d.)
17An Introduction to Programming with C++, Seventh Edition
18. Figure 2-10 Figure 2-9’s algorithm in flowchart form
18An Introduction to Programming with C++, Seventh Edition
Step 2−Planning the Algorithm (cont’d.)
19. • A problem can have more than one solution
Step 2−Planning the Algorithm (cont’d.)
Figure 2-11 A different solution to the
Treyson Mobley problem (pseudocode)
19An Introduction to Programming with C++, Seventh Edition
20. • Processing item: an intermediate
value (neither input nor output)
the algorithm uses to transform
input into output
Step 2−Planning the Algorithm (cont’d.)
Figure 2-11 A different solution to the
Treyson Mobley problem (flowchart)
20An Introduction to Programming with C++, Seventh Edition
21. Step 3−Desk-Checking the Algorithm
• Desk-checking an algorithm verifies that it is correct
– Refers to checking an algorithm by hand, rather than
with a computer
– Also called hand-tracing
• Choose sample data and manually compute the expected
output value
• Creating a desk-check table can be helpful
21An Introduction to Programming with C++, Seventh Edition
22. Step 3−Desk-Checking the Algorithm
(cont’d.)
Figure 2-12 Manual tip calculation for the first desk-check
22An Introduction to Programming with C++, Seventh Edition
23. Step 3−Desk-Checking the Algorithm
(cont’d.)
Figure 2-13 Treyson Mobley solution and
partially completed desk-check table
23An Introduction to Programming with C++, Seventh Edition
24. Step 3−Desk-Checking the Algorithm
(cont’d.)
Figure 2-14 Input values entered in the desk-check table
Figure 2-15 Processing item’s value
entered in the desk-check table
Figure 2-16 Output value entered in the desk-check table
24An Introduction to Programming with C++, Seventh Edition
25. Step 3−Desk-Checking the Algorithm
(cont’d.)
Figure 2-17 Manual tip calculation for
the second desk-check
25An Introduction to Programming with C++, Seventh Edition
26. Figure 2-19 Value of the second desk-check’s
processing item entered in the desk-check table
Figure 2-20 Value of the second desk-check’s
output item entered in the desk-check table
Figure 2-18 Second set of input values
entered in the desk-check table
26An Introduction to Programming with C++, Seventh Edition
Step 3−Desk-Checking the Algorithm
(cont’d.)
27. • Valid data: data that the algorithm is expecting the user
to enter
• Invalid data: data that the algorithm is not expecting
the user to enter
• You should test an algorithm with invalid data
– Users may make mistakes when entering data
Step 3−Desk-Checking the Algorithm
(cont’d.)
27An Introduction to Programming with C++, Seventh Edition
28. The Gas Mileage Problem
Figure 2-21 Problem specification for the gas mileage problem
28An Introduction to Programming with C++, Seventh Edition
29. The Gas Mileage Problem (cont’d.)
• Plan the algorithm with an IPO chart
Figure 2-22 IPO chart for the gas mileage problem
29An Introduction to Programming with C++, Seventh Edition
30. • Then desk-check the algorithm
The Gas Mileage Problem (cont’d.)
Figure 2-23 Desk-check table for the gas mileage problem
30An Introduction to Programming with C++, Seventh Edition
31. • Problem solving typically involves analyzing the
problem and then planning, reviewing, implementing,
evaluating, and modifying (if necessary) the solution
• Programmers use tools (IPO charts, pseudocode,
flowcharts) to help them analyze problems and develop
algorithms
• The first step in problem solving is to analyze the
problem
– First determine the output and then the input
Summary
31An Introduction to Programming with C++, Seventh Edition
32. • The second step is to plan the algorithm
– Write the steps that will transform the input into the
output
– Most algorithms begin with entering input data, then
processing the data, then displaying the output
• The third step is to desk-check the algorithm
– Choose sample data and manually compute the expected
output
– Create a desk-check table to fill in values step by step
Summary (cont’d.)
32An Introduction to Programming with C++, Seventh Edition
33. • Aiden Nelinski is paid every Friday and will receive
either a 2.0% or 2.5% raise next week
• He wants a program that calculates and displays the
amount of his new weekly pay
Lab 2-1: Stop and Analyze
Figure 2-26 IPO chart for Lab 2-1
33An Introduction to Programming with C++, Seventh Edition
34. • Create an algorithm for the manager of the Lakeview
Hotel
Lab 2-2: Plan and Create
Figure 2-30 Completed IPO chart for Lab 2-2
34An Introduction to Programming with C++, Seventh Edition
35. • Each guest of the Lakeview Hotel pays an
entertainment tax, which is a percentage of the room
charge only
• Modify the IPO chart in Figure 2-30
• Desk-check the algorithm twice using the given values
Lab 2-3: Modify
35An Introduction to Programming with C++, Seventh Edition
36. • An algorithm is given to calculate and display an annual
property tax
• Desk-check the algorithm three times using the given
values
Lab 2-4: Desk-Check
Figure 2-36 IPO chart for Lab 2-4
36An Introduction to Programming with C++, Seventh Edition
37. • An algorithm is given to calculate and display the
average of three numbers but is incorrect
• Find and correct the errors in the algorithm
Lab 2-5: Debug
Figure 2-37 IPO chart for Lab 2-5
Figure 2-42 Corrected algorithm for Lab 2-5
37An Introduction to Programming with C++, Seventh Edition