The document provides information on problem solving and office automation. It discusses key concepts like algorithms, program development cycles, and control structures. For algorithms, it covers characteristics, representations using flowcharts and pseudocode, and examples. The main program development methodologies covered are the program planning method and waterfall method. Control structures discussed include sequence, selection, and looping. Examples provided include finding largest of three numbers, quadratic equation, swapping variables, and checking leap year.
The document discusses inductive and deductive reasoning. It defines them as the two types of arguments: deductive arguments provide logically conclusive support to conclusions while inductive arguments provide probable support. Deductive arguments are based on laws and principles, using premises to logically derive a conclusion. Inductive arguments are based on experience and observation, using specific examples to generalize to broader conclusions. Examples of deductive arguments using major and minor premises are provided, along with discussions of constructing valid deductive arguments and indirect deductive methods like reductio ad absurdum. The differences between strong, weak, and cogent inductive arguments are also outlined.
This document summarizes and provides examples of common logical fallacies. It discusses 12 different fallacies: hasty generalization, missing the point, post hoc, slippery slope, weak analogy, appeal to authority, appeal to pity, appeal to ignorance, straw man, red herring, and false dichotomy. For each fallacy, it provides a definition and hypothetical example to illustrate how the fallacy works in an argument. The document is intended to help readers identify and avoid using logically fallacious reasoning.
The document discusses translating statements from English to propositional logic, including:
- Conjunction and disjunction are commutative but order matters for statements with mixed operators
- How to translate conditional statements like "if P then Q" and biconditionals like "P if and only if Q"
- Necessary and sufficient conditions and how they relate to conditionals
- Examples of translating various English language statements into propositional logic statements
This document discusses computer algorithms and provides examples of algorithms in Python. It begins by defining an algorithm and providing examples of sorting algorithms like insertion sort, selection sort, and merge sort. It then discusses searching algorithms like linear search and binary search, including their time complexities. Other topics covered include advantages of Python, types of problems solved by algorithms, and limitations of binary search.
Quicksort Algorithm..simply defined through animations..!!Mahesh Tibrewal
I've seen many ppts on Quicksort algorithm which are very good but fail to maintain simplicity and clarity. So, I've prepared a very simple ppt for students to understand the operation in a better way.
Depth-first search (DFS) is an algorithm that explores all the vertices reachable from a starting vertex by traversing edges in a depth-first manner. DFS uses a stack data structure to keep track of vertices to visit. It colors vertices white, gray, and black to indicate their status. DFS runs in O(V+E) time and can be used for applications like topological sorting and finding strongly connected components. The edges discovered during DFS can be classified as tree, back, forward, or cross edges based on the order in which vertices are discovered.
This chapter introduces the concept of knowledge and discusses its definition, sources, and justification. It defines knowledge as understanding what is true or false, right or wrong. Knowledge comes from two main sources - rationalism (reasoning) and empiricism (experience). Rationalists believe some knowledge is innate or can be deduced through reason alone, while empiricists believe all knowledge comes from sensory experience. To be considered knowledge, a claim must be justified through evidence, predictive power, reasonableness, reliable methods of belief acquisition, or coherence with other known truths. However, skepticism questions if true knowledge is possible given issues like doubt, deception, dreams, and the possibility of revised concepts or unreliable senses. The chapter assigns understanding different philosophical
The document discusses research and inquiry-based learning. It defines research as the scientific investigation of phenomena through collection, presentation, analysis, and interpretation of facts. The characteristics of good research include being empirical, logical, cyclical, critical, methodical, and replicable. Research should be accurate, objective, timely, and relevant. The purpose of research is to perform action, learn scientific methods, prove or generate theories, and augment knowledge. The importance of research is that it directs us to the right information, empowers us with knowledge, and facilitates learning. The research process involves defining the problem, designing the study, gathering data, analyzing the data, and interpreting the results. Ethics in research, such as objectivity
The document discusses inductive and deductive reasoning. It defines them as the two types of arguments: deductive arguments provide logically conclusive support to conclusions while inductive arguments provide probable support. Deductive arguments are based on laws and principles, using premises to logically derive a conclusion. Inductive arguments are based on experience and observation, using specific examples to generalize to broader conclusions. Examples of deductive arguments using major and minor premises are provided, along with discussions of constructing valid deductive arguments and indirect deductive methods like reductio ad absurdum. The differences between strong, weak, and cogent inductive arguments are also outlined.
This document summarizes and provides examples of common logical fallacies. It discusses 12 different fallacies: hasty generalization, missing the point, post hoc, slippery slope, weak analogy, appeal to authority, appeal to pity, appeal to ignorance, straw man, red herring, and false dichotomy. For each fallacy, it provides a definition and hypothetical example to illustrate how the fallacy works in an argument. The document is intended to help readers identify and avoid using logically fallacious reasoning.
The document discusses translating statements from English to propositional logic, including:
- Conjunction and disjunction are commutative but order matters for statements with mixed operators
- How to translate conditional statements like "if P then Q" and biconditionals like "P if and only if Q"
- Necessary and sufficient conditions and how they relate to conditionals
- Examples of translating various English language statements into propositional logic statements
This document discusses computer algorithms and provides examples of algorithms in Python. It begins by defining an algorithm and providing examples of sorting algorithms like insertion sort, selection sort, and merge sort. It then discusses searching algorithms like linear search and binary search, including their time complexities. Other topics covered include advantages of Python, types of problems solved by algorithms, and limitations of binary search.
Quicksort Algorithm..simply defined through animations..!!Mahesh Tibrewal
I've seen many ppts on Quicksort algorithm which are very good but fail to maintain simplicity and clarity. So, I've prepared a very simple ppt for students to understand the operation in a better way.
Depth-first search (DFS) is an algorithm that explores all the vertices reachable from a starting vertex by traversing edges in a depth-first manner. DFS uses a stack data structure to keep track of vertices to visit. It colors vertices white, gray, and black to indicate their status. DFS runs in O(V+E) time and can be used for applications like topological sorting and finding strongly connected components. The edges discovered during DFS can be classified as tree, back, forward, or cross edges based on the order in which vertices are discovered.
This chapter introduces the concept of knowledge and discusses its definition, sources, and justification. It defines knowledge as understanding what is true or false, right or wrong. Knowledge comes from two main sources - rationalism (reasoning) and empiricism (experience). Rationalists believe some knowledge is innate or can be deduced through reason alone, while empiricists believe all knowledge comes from sensory experience. To be considered knowledge, a claim must be justified through evidence, predictive power, reasonableness, reliable methods of belief acquisition, or coherence with other known truths. However, skepticism questions if true knowledge is possible given issues like doubt, deception, dreams, and the possibility of revised concepts or unreliable senses. The chapter assigns understanding different philosophical
The document discusses research and inquiry-based learning. It defines research as the scientific investigation of phenomena through collection, presentation, analysis, and interpretation of facts. The characteristics of good research include being empirical, logical, cyclical, critical, methodical, and replicable. Research should be accurate, objective, timely, and relevant. The purpose of research is to perform action, learn scientific methods, prove or generate theories, and augment knowledge. The importance of research is that it directs us to the right information, empowers us with knowledge, and facilitates learning. The research process involves defining the problem, designing the study, gathering data, analyzing the data, and interpreting the results. Ethics in research, such as objectivity
This document provides examples of algorithms and program development methodologies. It discusses problem solving steps, program development cycles like waterfall method, and control structures like sequence, selection, and loops. Examples provided include finding the largest of three numbers, calculating the area of a circle, and reversing a number. Pseudocode and flowcharts are used to represent the algorithms.
This document provides examples of algorithms and program development methodologies. It discusses problem solving steps, program development cycles like waterfall method, and control structures like sequence, selection, and loops. Examples provided include finding the largest of three numbers, calculating factorials, and reversing a number. Pseudocode and flowcharts are used to represent the algorithms.
The document discusses algorithms, flowcharts, and pseudocode. It begins by defining algorithms as step-by-step processes to solve problems and notes that computer programs are algorithms written in a programming language. It then discusses flowcharts as visual representations of algorithms using standard symbols. The rest of the document provides details on flowchart symbols, rules for flowcharting, examples of flowcharts, and exercises to create flowcharts. It also defines pseudocode as a way to describe algorithms in plain English and provides examples of how to write pseudocode using basic programming constructs like sequence, selection, and repetition.
This document discusses the steps involved in programming. It explains that programming involves understanding the problem, designing a solution, writing an algorithm and flowchart, coding the program, testing and debugging it, and documenting it. It provides examples of algorithms to add two numbers and calculate the area of a triangle. It also describes some key programming concepts like what a program and algorithm are, common programming languages, and symbols used in flowcharting.
The document defines algorithms and different representations of algorithms such as normal English, flow charts, pseudo code, and programs. It provides examples of different control structures like sequence, selection, and repetition. Key points include: algorithms must be unambiguous, terminate in a finite number of steps, and time, memory, accuracy and generality are qualities of a good algorithm. Pseudo code uses keywords and indentation to represent program logic clearly. Flow charts use standard symbols and avoid intersecting lines to depict a process visually. Control structures determine the order of execution through sequencing, conditional checks, or repeated execution.
C is a general-purpose programming language developed in the 1970s. The lecture discusses C's history and uses, and outlines the typical program development cycle of requirement analysis, design, implementation, testing, and documentation. It also introduces common programming tools like algorithms, pseudocode, flowcharts, and hierarchy charts to plan and design programs before coding.
This slide is talk about the Algorithm in Programming,for child who learn and train with Teachnovation.Most of this lesson show about the basic of concept OOP also
Algorithm for computational problematic sitSaurabh846965
A computer requires precise instructions from a user in order to perform tasks correctly. It has no inherent intelligence or ability to solve problems on its own. For a computer to solve a problem, a programmer must break the problem down into a series of simple steps and write program code that provides those step-by-step instructions in a language the computer can understand. This process involves understanding the problem, analyzing it, developing a solution algorithm, and coding the algorithm so the computer can execute it. Flowcharts can help visualize algorithms and problem-solving logic in a graphical format before writing program code.
The document discusses problem solving techniques in computer programming. It describes problem solving as a systematic process of defining a problem and generating multiple solutions. The key steps involve understanding the problem, analyzing it, developing a solution, and coding and implementing it. Common techniques for representing problem solving processes and solutions include algorithms, flowcharts, pseudocode, and programs. An algorithm is defined as a step-by-step procedure to solve a problem precisely using a finite number of instructions. Control flow refers to executing statements in a given order, such as sequence, selection, or iteration. Functions allow breaking problems into smaller subtasks and reusing code.
The document discusses problem solving skills in computer programming. It explains the four basic operations of input, output, processing, and storage. It provides examples of how each operation is represented in pseudocode. The document also outlines the steps for problem solving, including defining the problem, creating an algorithm using pseudocode, and implementing the algorithm in a programming language. It provides examples of algorithms and flowcharts to illustrate problem solving techniques.
This document outlines the key concepts and steps involved in programming logic and practices, including:
1) The main steps in the programming process are problem identification, designing algorithms and flowcharts, coding, compiling, debugging, execution and testing, and documentation.
2) An algorithm is a series of steps to solve a problem, while a flowchart uses visual symbols to represent the flow of an algorithm. Pseudocode describes algorithms in plain language rather than code.
3) Coding involves writing instructions in a programming language based on the algorithm and flowchart. Compilation translates source code into machine code, while debugging detects and fixes errors.
The document discusses algorithms and their characteristics. It defines an algorithm as a step-by-step procedure for solving a problem. Algorithms must have a finite number of unambiguous steps and result in the desired output. The document also discusses the building blocks of algorithms like statements, control flow, functions. It provides examples of different algorithm structures like sequence, selection, iteration. Finally, it discusses representations of algorithms using pseudocode, flowcharts and programming languages.
Flow charts are diagrams that represent a sequence of steps to solve a problem. They use standard symbols to visually depict the logic and processes within a program or system. Flow charts facilitate communication between programmers and non-technical stakeholders. Guidelines for effective flow charts include using a logical structure, clear symbols, and ensuring the chart has a defined start and end. Pseudocode and structured English are additional tools to represent programming logic at a higher level before implementation in a specific coding language.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
Problem definition
Problem Analysis
Algorithm development
Coding
Testing & Debugging
Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
This document provides an overview of problem solving and Python programming. It discusses computational thinking and problem solving, including identifying computational problems, algorithms, building blocks of algorithms, and illustrative problems. It also discusses algorithmic problem solving techniques like iteration and recursion. Finally, it briefly introduces the course titled "GE8151-PROBLEM SOLVING AND PYTHON PROGRAMMING".
The document discusses algorithms, flowcharts, and problem solving. It provides examples of writing pseudocode and algorithms to solve problems. It also explains the basic symbols used in flowcharts and provides examples of flowcharts. Key points include:
- Algorithms are step-by-step solutions to problems, while flowcharts show the logic visually using standard symbols.
- Pseudocode is an informal language similar to English that helps develop algorithms.
- Examples show algorithms and flowcharts for calculating grades, converting feet to centimeters, and finding the area of a rectangle.
- Standard flowchart symbols include shapes for start/end, processes, inputs/outputs, and decisions.
CLASS VIII COMPUTERS FLOW CHART AND ALGORITHMRc Os
The document defines algorithms and flowcharts. It provides examples of algorithms for basic mathematical operations like addition, subtraction, finding greatest numbers. It also defines the key components of an algorithm like inputs, outputs, finite steps. Additionally, it defines the symbols used in a flowchart like terminal, input/output, process, decision, flow direction and connector symbols. Examples of flowcharts are given for algorithms like addition of two numbers and finding greatest among three numbers.
The document discusses algorithms and how to represent them using pseudocode and flowcharts. It provides examples of algorithms to calculate student grades and averages, and represents them in pseudocode and flowcharts. The key steps are to define the inputs, processing such as calculations, and outputs. Pseudocode uses a natural language format while flowcharts use graphical symbols to depict the program logic and flow.
The document discusses various Web 2.0 tools that can be used for education, including Wikipedia for accessing online information, cloud computing for accessing files and applications remotely, and video conferencing tools like Google Hangouts for online collaboration. It also discusses how blogs, like those hosted on WordPress or Blogger, can be used for online journals, and social networking sites like Facebook, Instagram, Twitter, and LinkedIn to connect with others online.
This document provides an overview of the Stykz animation program, including:
- Stykz is a free, multiplatform stick figure animation program created in 2008 that allows users to customize each animation frame.
- The interface includes tools for editing figures, previewing animations, and setting figure/frame properties, as well as palettes for navigating frames, controlling playback, and storing figure libraries.
- Key features that are described include the editing mode for manipulating figures on the stage, the preview mode for viewing frames, and the various palettes for properties, frames, playback controls, custom commands, and storing figures.
This document provides examples of algorithms and program development methodologies. It discusses problem solving steps, program development cycles like waterfall method, and control structures like sequence, selection, and loops. Examples provided include finding the largest of three numbers, calculating the area of a circle, and reversing a number. Pseudocode and flowcharts are used to represent the algorithms.
This document provides examples of algorithms and program development methodologies. It discusses problem solving steps, program development cycles like waterfall method, and control structures like sequence, selection, and loops. Examples provided include finding the largest of three numbers, calculating factorials, and reversing a number. Pseudocode and flowcharts are used to represent the algorithms.
The document discusses algorithms, flowcharts, and pseudocode. It begins by defining algorithms as step-by-step processes to solve problems and notes that computer programs are algorithms written in a programming language. It then discusses flowcharts as visual representations of algorithms using standard symbols. The rest of the document provides details on flowchart symbols, rules for flowcharting, examples of flowcharts, and exercises to create flowcharts. It also defines pseudocode as a way to describe algorithms in plain English and provides examples of how to write pseudocode using basic programming constructs like sequence, selection, and repetition.
This document discusses the steps involved in programming. It explains that programming involves understanding the problem, designing a solution, writing an algorithm and flowchart, coding the program, testing and debugging it, and documenting it. It provides examples of algorithms to add two numbers and calculate the area of a triangle. It also describes some key programming concepts like what a program and algorithm are, common programming languages, and symbols used in flowcharting.
The document defines algorithms and different representations of algorithms such as normal English, flow charts, pseudo code, and programs. It provides examples of different control structures like sequence, selection, and repetition. Key points include: algorithms must be unambiguous, terminate in a finite number of steps, and time, memory, accuracy and generality are qualities of a good algorithm. Pseudo code uses keywords and indentation to represent program logic clearly. Flow charts use standard symbols and avoid intersecting lines to depict a process visually. Control structures determine the order of execution through sequencing, conditional checks, or repeated execution.
C is a general-purpose programming language developed in the 1970s. The lecture discusses C's history and uses, and outlines the typical program development cycle of requirement analysis, design, implementation, testing, and documentation. It also introduces common programming tools like algorithms, pseudocode, flowcharts, and hierarchy charts to plan and design programs before coding.
This slide is talk about the Algorithm in Programming,for child who learn and train with Teachnovation.Most of this lesson show about the basic of concept OOP also
Algorithm for computational problematic sitSaurabh846965
A computer requires precise instructions from a user in order to perform tasks correctly. It has no inherent intelligence or ability to solve problems on its own. For a computer to solve a problem, a programmer must break the problem down into a series of simple steps and write program code that provides those step-by-step instructions in a language the computer can understand. This process involves understanding the problem, analyzing it, developing a solution algorithm, and coding the algorithm so the computer can execute it. Flowcharts can help visualize algorithms and problem-solving logic in a graphical format before writing program code.
The document discusses problem solving techniques in computer programming. It describes problem solving as a systematic process of defining a problem and generating multiple solutions. The key steps involve understanding the problem, analyzing it, developing a solution, and coding and implementing it. Common techniques for representing problem solving processes and solutions include algorithms, flowcharts, pseudocode, and programs. An algorithm is defined as a step-by-step procedure to solve a problem precisely using a finite number of instructions. Control flow refers to executing statements in a given order, such as sequence, selection, or iteration. Functions allow breaking problems into smaller subtasks and reusing code.
The document discusses problem solving skills in computer programming. It explains the four basic operations of input, output, processing, and storage. It provides examples of how each operation is represented in pseudocode. The document also outlines the steps for problem solving, including defining the problem, creating an algorithm using pseudocode, and implementing the algorithm in a programming language. It provides examples of algorithms and flowcharts to illustrate problem solving techniques.
This document outlines the key concepts and steps involved in programming logic and practices, including:
1) The main steps in the programming process are problem identification, designing algorithms and flowcharts, coding, compiling, debugging, execution and testing, and documentation.
2) An algorithm is a series of steps to solve a problem, while a flowchart uses visual symbols to represent the flow of an algorithm. Pseudocode describes algorithms in plain language rather than code.
3) Coding involves writing instructions in a programming language based on the algorithm and flowchart. Compilation translates source code into machine code, while debugging detects and fixes errors.
The document discusses algorithms and their characteristics. It defines an algorithm as a step-by-step procedure for solving a problem. Algorithms must have a finite number of unambiguous steps and result in the desired output. The document also discusses the building blocks of algorithms like statements, control flow, functions. It provides examples of different algorithm structures like sequence, selection, iteration. Finally, it discusses representations of algorithms using pseudocode, flowcharts and programming languages.
Flow charts are diagrams that represent a sequence of steps to solve a problem. They use standard symbols to visually depict the logic and processes within a program or system. Flow charts facilitate communication between programmers and non-technical stakeholders. Guidelines for effective flow charts include using a logical structure, clear symbols, and ensuring the chart has a defined start and end. Pseudocode and structured English are additional tools to represent programming logic at a higher level before implementation in a specific coding language.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
Problem definition
Problem Analysis
Algorithm development
Coding
Testing & Debugging
Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
This document provides an overview of problem solving and Python programming. It discusses computational thinking and problem solving, including identifying computational problems, algorithms, building blocks of algorithms, and illustrative problems. It also discusses algorithmic problem solving techniques like iteration and recursion. Finally, it briefly introduces the course titled "GE8151-PROBLEM SOLVING AND PYTHON PROGRAMMING".
The document discusses algorithms, flowcharts, and problem solving. It provides examples of writing pseudocode and algorithms to solve problems. It also explains the basic symbols used in flowcharts and provides examples of flowcharts. Key points include:
- Algorithms are step-by-step solutions to problems, while flowcharts show the logic visually using standard symbols.
- Pseudocode is an informal language similar to English that helps develop algorithms.
- Examples show algorithms and flowcharts for calculating grades, converting feet to centimeters, and finding the area of a rectangle.
- Standard flowchart symbols include shapes for start/end, processes, inputs/outputs, and decisions.
CLASS VIII COMPUTERS FLOW CHART AND ALGORITHMRc Os
The document defines algorithms and flowcharts. It provides examples of algorithms for basic mathematical operations like addition, subtraction, finding greatest numbers. It also defines the key components of an algorithm like inputs, outputs, finite steps. Additionally, it defines the symbols used in a flowchart like terminal, input/output, process, decision, flow direction and connector symbols. Examples of flowcharts are given for algorithms like addition of two numbers and finding greatest among three numbers.
The document discusses algorithms and how to represent them using pseudocode and flowcharts. It provides examples of algorithms to calculate student grades and averages, and represents them in pseudocode and flowcharts. The key steps are to define the inputs, processing such as calculations, and outputs. Pseudocode uses a natural language format while flowcharts use graphical symbols to depict the program logic and flow.
The document discusses various Web 2.0 tools that can be used for education, including Wikipedia for accessing online information, cloud computing for accessing files and applications remotely, and video conferencing tools like Google Hangouts for online collaboration. It also discusses how blogs, like those hosted on WordPress or Blogger, can be used for online journals, and social networking sites like Facebook, Instagram, Twitter, and LinkedIn to connect with others online.
This document provides an overview of the Stykz animation program, including:
- Stykz is a free, multiplatform stick figure animation program created in 2008 that allows users to customize each animation frame.
- The interface includes tools for editing figures, previewing animations, and setting figure/frame properties, as well as palettes for navigating frames, controlling playback, and storing figure libraries.
- Key features that are described include the editing mode for manipulating figures on the stage, the preview mode for viewing frames, and the various palettes for properties, frames, playback controls, custom commands, and storing figures.
This document provides an introduction to HTML by describing its structure, elements, tags, and attributes. HTML stands for Hypertext Markup Language and is used to define the structure of web pages. The core HTML elements include headings, paragraphs, line breaks, images, and links. Attributes like src, alt, and href provide additional information about elements. Common tags are <h1> for headings, <p> for paragraphs, <img> for images, and <a> for links. The document also demonstrates how to create lists, tables, and scrolling text with HTML.
This document discusses message authentication and encryption. It explains that message authentication aims to protect integrity, validate originator identity, and enable non-repudiation. Message encryption provides authentication if symmetric encryption is used, while public-key encryption requires signing. Message authentication codes (MACs) and hash functions are also examined. The MD5 algorithm is summarized, which takes an input of arbitrary length and produces a 128-bit fingerprint.
Flash animation uses frames and frame rates to create the illusion of motion. Graphic objects are organized into layers and the timeline is used to display frames. There are different types of Flash animation including frame by frame, tweened, motion tweening, and shape tweening. Symbols are reusable objects like buttons and movie clips that can be used to create animations and timeline navigations. Tweening allows animation between keyframes without drawing individual frames and includes motion tweening to control an object's position and shape tweening to transition colors, shapes, or drawings.
This document provides an overview of the photo editing software Photoshop. It covers basic topics like opening and saving images, using panels and layers, and viewing and zooming. It also covers editing techniques like cropping, resizing, rotating, blending, cloning and sharpening images. Additionally, it discusses fixing lighting issues, using histograms to evaluate tones, and applying filters. The document is intended as a tutorial for beginners to learn the basics of using Photoshop.
The document discusses the application layer of WAP including the WAP model, mobile location based services, WAP gateway, WAP protocols, WAP user agent profile, caching model, wireless bearers of WAP, WML, WML scripts, WTA, iMode, and SyncML. It provides definitions and details on the WAP architecture, protocols, and technologies to enable wireless internet access from mobile devices. The document also covers mobile location based services and applications, challenges, and examples of location based services that utilize a user's real-time geographical position.
C was developed by Dennis Ritchie at Bell Labs in 1972. It is a structured, portable, middle-level programming language that uses a top-down approach. A C program consists of functions, with one function named main serving as the starting point. C programs can include comments, preprocessor directives, variables, constants, data types and expressions connected with operators.
Functions allow programmers to organize code into reusable blocks. There are two types of functions: pre-defined/library functions which are provided for use and user-defined functions which are created by the programmer. User-defined functions help reduce code length and make debugging easier. Functions can receive input parameters, return values, or do both. Arrays allow storing and accessing related data through indexes. One-dimensional arrays store data in a single list while multi-dimensional arrays can represent tables of data through multiple indexes.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
3. Problem Solving Steps
• Analyse the problem.
• Identify the solution for the problem and
divide it into small task.
• Algorithm has to be prepared.
• Based on the algorithm the program will
be created.
• Then it has to be executed.
6. • Specification review
– collect the requirements
– understand the requirements
• Informal Design
– Identifies the major tasks
– Identifies the subtasks
• Formal Design
– It converts the informal design to some format
that can be understand by others.
7. • Coding
– It converts the Design into Programs.
– It translate these programs to machine
language.
• Test & Debug
– It use sample data to test whether it works
properly.
– It also eliminate the errors.
10. • Feasibility
–It determines whether it is possible to
create the project or not.
–It also produce the plans and the
estimates.
• Analysis
–It get the requirements from the
customer.
–It analysis the requirements.
11. • Design
–It is the process of designing how the
requirements to be implemented.
• Implementation
–It converts the designs into code.
–After coding it use language translators
to compile the code.
12. • Testing
–Here the modules are integrated
together.
–Then the project is tested and find
whether it meets the customer/user
requirements.
• Maintenance
–It make modifications based on the
customer feedbacks.
13. Algorithm
• Algorithm is a finite sequence of
instructions required for producing the
desired result.
14. Characteristics
• The steps in the algorithm must be
unambiguous .
• It should be written in sequence.
• Ensure that the algorithm will terminate.
• It should conclude after a finite number of
steps.
15. Factors used to judge the algorithm
• Time
• Memory
• Accuracy
• Sequence etc,.
17. Example
• Addition of two numbers
Step1: Start
Step2: Read a, b
Step3: Add the value of a with b and
store the result in c.
Step4: Display the value of c
Step5: Stop
19. Flowchart Symbols
• Terminal symbol
– It is used to represent the start, end of the
program logic.
• Input/Output
– It is used for input or output.
• Process Symbol
– It is used to represent the calculations, data
movements, initialization operations etc,.
20. • Decision Symbol
– It is used to denote a decision to be made at
that point
• Flow lines
– It is used to connect the symbols
• Connectors
– It is used to connect the flow lines.
21. Guidelines for preparing flowcharts
• It should be simple.
• Standard symbols should be used.
• The flow lines should not intersect each
others.
• In case of complex flowcharts use the
connectors symbols.
22. • Only one flow line should enter the
process symbol and only one flow line
should come out from a process symbol.
• Only one flow line used with the terminal
symbol.
START
STOP
23. • Only one flow line should enter the
decision symbol and two or three flowlines
may leave from the decision symbol.
24. Benefits of Flowcharts
• Makes Logic Clear
• Communication
• Effective Analysis
• Useful in coding
• Useful in Testing etc,.
25. Limits of Flowcharts
• It is difficult to use flowcharts for large
program
• Difficult to modify
• Cost etc,.
26. Pseudocode
• Pseudo means imitates and code means
instruction.
• It is formal design tool.
• It is also called Program Design Language.
28. Guideline for writing Pseudocode
• Steps should be understandable
• Capitalize the keyword.
• Indent to show hierarchy.
• End multiple line structure etc,.
31. Advantage & Disadvantage
• It can be easily modified
• It can be understood easily
• Compare to flowchart it is difficult to
understand the program logic.
32. Sequence control structure
Flow chart Pseudocode
Process 1
Process 2
Process n
Process 2
Process n
Process 1
Design Structures
33. Sequence control structure
• The instructions are computed in
sequence i.e. it performs instruction
one after another.
• It uses top-down approach.
Design Structures
35. SELECTION CONTROL STRUCTURE
• It is used for making decisions.
• It allows the program to make a choice
from alternative paths.
• IF …THEN
• IF …THEN… ELSE
• CASE etc.,
40. CASE structure
Pseudocode Flow chart
.
.
CASE Type
Case Type-1:
Process 1
Case Type-2:
Process 2
.
.
Case Type-n:
Process n
.
.
END CASE
Type 1
Type 2
Type 3
Process 1
Process 2
Process 3
no
no
no
yes
yes
yes
47. Example: Finding the area of a circle
Algorithm
Step1: Start
Step2: Read the value of r
Step3: Calculate area = 3.14*r*r
Step4: Print area
Step5: Stop
50. Find the largest among three Numbers
Algorithm
Step1: Start
Step2: Read the value of a, b, c
Step3: IF (a>b) and (a>c) THEN
print a is largest
ELSE IF (b>c) THEN
print b is largest
ELSE
print c is largest
Step4: Stop
51. Pseudocode
READ a, b, c
IF (a>b) and (a>c) THEN
WRITE a is largest
ELSE IF (b>c) THEN
WRITE b is largest
ELSE
WRITE c is largest
ENDIF
stop
54. Finding roots of the Quadratic equation
Step:1 Start
Step:2 Enter the values of a,b,c
Step:3 Find the value of D Using the Formula,
D = b*b-4*a*c
Step:4 If D is greater than or equal to zero find 2
roots
root1(-b+sqrt(D))/(2*a)
root2(-b-sqrt(D))/(2*a)
Step:5 Print root1 & root2
Step:6 If D is less than zero, then print the roots
are imaginary
Step:7 Stop
55. Pseudocode
Set root1,root2
READ the value of a, b, c
Find D b*b-4*a*c
IF D>=0 THEN
calculate root1=(-b+sqrt(D))/(2*a)
root2=(-b-sqrt(D))/(2*a)
ELSE
Roots are imaginary
END IF
WRITE root1,root2
Stop
61. Swapping two variables without using
another variable
Algorithm
Step1: Start
Step2: Read the value of a, b
Step3: a = a + b
b = a - b
a = a - b
Step4: Print the value of a and b
Step5: Stop
64. Finding the year is leap year or not
Algorithm
Step1: Start
Step2: Read the value of year
Step3: IF year % 4 ==0 THEN
print It is a Leap year
ELSE
print It is not a Leap year
Step4: Stop
67. Finding the Factorial
Algorithm
Step1: Start
Step2: Read the value of n and set i =1
Step3: While i <= n do
fact =fact * i
i = i + 1
else Goto step5
Step4: Goto step 3
Step5: print the value of fact
Step6: Stop
68. Pseudocode
READ the value of n and set i =1
WHILE (i <= n) do
fact =fact * i
i = i + 1
ENDWHILE
Repeat the loop until condition fails
WRITE fact
stop
70. Finding the Sum of the digits
Algorithm
Step1: Start
Step2: Read the value of n and set i = 0, sum = 0
Step3: While n>0 do
r=n%10
sum=sum + r
n=n/10
else Goto step5
Step4: Goto step 3
Step5: print the value of sum
Step6: Stop
71. Pseudocode
READ the value of n and set i =0, sum=0
WHILE (n>0) do
r=n%10
sum=sum + r
n=n/10
ENDWHILE
Repeat the loop until condition fails
WRITE sum
stop
72. Flowchart Start
r = 0,sum=0
r=n%10
sum=sum + r
n=n/10
Print sum
while
n>0
stop
no
yes
Read n
73. Finding the Reverse of a Number
Algorithm
Step1: Start
Step2: Read the value of n and set i = 0, sum = 0
Step3: While n>0 do
r=n%10
sum=sum *10 + r
n=n/10
else Goto step5
Step4: Goto step 3
Step5: print the value of sum
Step6: Stop
74. Pseudocode
READ the value of n and set i =0, sum=0
WHILE (n>0) do
r=n%10
sum=sum *10 + r
n=n/10
ENDWHILE
Repeat the loop until condition fails
WRITE sum
stop
75. Flowchart Start
r = 0,sum=0
r=n%10
sum=sum *10 + r
n=n/10
Print sum
while
n>0
stop
no
yes
Read n
77. Finding an Armstrong Number
Algorithm
Step1: Start
Step2: Read the value of n and set a = n, sum = 0
Step3: While n>0 do
r=n%10
sum=sum + r*r*r
n=n/10
else Goto step5
Step4: Goto step 3
Step5: If a = sum then
Print Armstrong Number
Else
Print It is Not an Armstrong Number
Endif
Step6: Stop
78. Pseudocode
READ the value of n and set a =n, sum=0
WHILE (n>0) do
r=n%10
sum=sum + r*r*r
n=n/10
ENDWHILE
Repeat the loop until condition fails
IF a=sum THEN
WRITE Armstrong Number
ELSE
WRITE It is not an Armstrong Number
ENDIF
stop
79. Flowchart Start
a = n,sum=0
r=n%10
sum=sum + r*r*r
n=n/10
Print Armstrong No
while
n>0
stop
no
yes
Read n
if
a=sum
Print It is Not an
Armstrong No
81. Finding the Fibonacci series
Algorithm
Step1: Start
Step2: Read the value of n and set f=0,f1=-1, f2=1
Step3: While (f<n) do
f=f1+f2
f1=f2
f2=f
Print f
else Goto step5
Step4: Goto step 3
Step5: Stop
82. Pseudocode
READ the value of n and set f=0 ,f1=-1, f2=1
WHILE (f<n) do
f=f1+f2
f1=f2
f2=f
WRITE f
ENDWHILE
Repeat the loop until condition fails
stop
87. Conversion of Fahrenheit to Celsius
Algorithm
Step1: Start
Step2: Read the value of Fahrenheit
Step3:Calculate Celsius =(Fahrenheit – 32)/1.8
Step4: Print Celsius
Step5: Stop
90. Finding the sum of odd number between 1 to n
Algorithm
Step1: Start
Step2: Read the value of n and set sum=0,i=1
Step3: While (i<=n) do
sum=sum+i
i=i+2
else Goto step5
Step4: Goto step 3
Step5: Print sum
Step6: Stop
91. Pseudocode
READ the value of n and set sum=0,i=1
WHILE (i<=n) do
sum=sum+i
i=i+2
ENDWHILE
Repeat the loop until condition fails
WRITE sum
stop
93. Finding the sum of even number between 1 to n
Algorithm
Step1: Start
Step2: Read the value of n and set sum=0,i=0
Step3: While (i<=n) do
sum=sum+i
i=i+2
else Goto step 5
Step4: Goto step 3
Step5: Print sum
Step6: Stop
94. Pseudocode
READ the value of n and set sum=0,i=0
WHILE (i<=n) do
sum=sum+i
i=i+2
ENDWHILE
Repeat the loop until condition fails
WRITE sum
stop
96. Conversion of Binary number to Decimal
Algorithm
Step1: Start
Step2: Read the value of n and set i = 0, sum = 0
Step3: While n>0 do
r=n%10
sum=sum + r*pow(2,i)
n=n/10
i=i+1
else Goto step5
Step4: Goto step 3
Step5: print the value of sum
Step6: Stop
97. Pseudocode
READ the value of n and set i =0, sum=0
WHILE (n>0) do
r=n%10
sum=sum + r*pow(2,i)
n=n/10
i=i+1
ENDWHILE
Repeat the loop until condition fails
WRITE sum
stop
100. Application software
• Set of programs, which is used to perform
some specific task.
• Example:
• Word processor
• Spreadsheet program
• Database program etc,.
102. • Creating a New Document
File New (or) ctrl+N
(or) clicking the new button
• Opening a Document
File Open (or) ctrl+O
(or) clicking the open button
103. • Saving a New Document
File Save (or) ctrl+S
(or) clicking the save button
• Printing a Document
File Print (or) ctrl+P
(or) clicking the open button
104. • Moving the Text
Ctrl+X
(or) clicking the cut button
• Copying the Text
Ctrl+P
(or) clicking the copy button
106. Formatting the Document
• Format Menu (Format Font)
–Font size, type, colour, Subscript,
Superscript, Spacing,Text Effects etc,.
–Bullets and Numberings
–Changing case
–Borders and Shadings etc,.