This document outlines computing progression pathways and lists learning objectives related to programming and development, data and representation, hardware and processing, communication and networks, and information technology. Specifically, it provides over 70 learning objectives that cover topics like algorithms, programming, data types, binary representation, computer architecture, networks, internet services, digital content, and safe and responsible use of technology. The objectives are categorized by computational thinking concepts including abstraction, decomposition, algorithmic thinking, evaluation, and generalization.
The document discusses computer programming paradigms and languages. It provides a history of programming languages from machine code to modern high-level languages. It covers key concepts like abstraction, computational paradigms including imperative and functional paradigms, and the lambda calculus foundation of functional programming. Programming language characteristics like readability, portability and security/reliability are also examined.
This document provides an overview of procedure-oriented programming (POP) and object-oriented programming (OOP). It discusses the differences between the two paradigms in terms of program structure, data handling, and design. Specifically, POP focuses on linear program flow, exposes data, and uses top-down design. OOP models real-world entities as objects that encapsulate data and code through methods, allowing for more natural representation and interaction between independent objects. Examples of an ATM machine and auto shop are provided to illustrate the differences between POP and OOP approaches.
This document is a lecture on programming fundamentals that discusses what a programming language is, innovations in programming like object-oriented programming and the Unified Modeling Language, and the history and basics of C and C++. It provides examples of a simple "Hello World" C++ program and explains each part of the code.
Progression pathways strands created by Go OTAyuko matsuda
Computing Progression Pathways - Mapped to Computer Science, Information Technology and Digital Literacry strands of the National Curriculum Programme of Study
This document outlines a progression pathway for computing topics including algorithms and programming, data representation, hardware, networks, and information technology. It describes learning objectives at increasing levels of complexity, from understanding basic concepts to designing modular programs, problem solving, and evaluating digital content. Key topics covered include algorithms, data types, programming constructs, computer hardware, binary representation, databases, networks, and responsible use of technology.
This document provides an overview of basic Java programming concepts including Java as a programming language, examples of Java programs, flow charts, pseudocode, and algorithms. It describes Java as a popular, general-purpose programming language owned by Oracle that is object-oriented. It lists examples of NASA World Wind, desktop apps, financial software, and websites built with Java. It also defines and provides examples of flow charts, pseudocode, and algorithms, including a flow chart, pseudocode, and algorithm for adding two numbers.
The document discusses key concepts in programming including algorithms, flowcharts, pseudocode, and the program development life cycle (PDLC). It provides definitions and examples of each concept. The main points covered are:
- An algorithm is a series of steps to solve a problem with properties like finiteness and definiteness. Qualities of a good algorithm and levels of algorithm description are explained.
- Flowcharts use symbols to visually represent algorithms and program logic with benefits like clear communication. Examples of flowchart symbols and structures are given.
- Pseudocode resembles a simplified programming language and can be used to design algorithms with advantages like readability and ease of conversion to code.
- The PDLC is
The document discusses computer programming paradigms and languages. It provides a history of programming languages from machine code to modern high-level languages. It covers key concepts like abstraction, computational paradigms including imperative and functional paradigms, and the lambda calculus foundation of functional programming. Programming language characteristics like readability, portability and security/reliability are also examined.
This document provides an overview of procedure-oriented programming (POP) and object-oriented programming (OOP). It discusses the differences between the two paradigms in terms of program structure, data handling, and design. Specifically, POP focuses on linear program flow, exposes data, and uses top-down design. OOP models real-world entities as objects that encapsulate data and code through methods, allowing for more natural representation and interaction between independent objects. Examples of an ATM machine and auto shop are provided to illustrate the differences between POP and OOP approaches.
This document is a lecture on programming fundamentals that discusses what a programming language is, innovations in programming like object-oriented programming and the Unified Modeling Language, and the history and basics of C and C++. It provides examples of a simple "Hello World" C++ program and explains each part of the code.
Progression pathways strands created by Go OTAyuko matsuda
Computing Progression Pathways - Mapped to Computer Science, Information Technology and Digital Literacry strands of the National Curriculum Programme of Study
This document outlines a progression pathway for computing topics including algorithms and programming, data representation, hardware, networks, and information technology. It describes learning objectives at increasing levels of complexity, from understanding basic concepts to designing modular programs, problem solving, and evaluating digital content. Key topics covered include algorithms, data types, programming constructs, computer hardware, binary representation, databases, networks, and responsible use of technology.
This document provides an overview of basic Java programming concepts including Java as a programming language, examples of Java programs, flow charts, pseudocode, and algorithms. It describes Java as a popular, general-purpose programming language owned by Oracle that is object-oriented. It lists examples of NASA World Wind, desktop apps, financial software, and websites built with Java. It also defines and provides examples of flow charts, pseudocode, and algorithms, including a flow chart, pseudocode, and algorithm for adding two numbers.
The document discusses key concepts in programming including algorithms, flowcharts, pseudocode, and the program development life cycle (PDLC). It provides definitions and examples of each concept. The main points covered are:
- An algorithm is a series of steps to solve a problem with properties like finiteness and definiteness. Qualities of a good algorithm and levels of algorithm description are explained.
- Flowcharts use symbols to visually represent algorithms and program logic with benefits like clear communication. Examples of flowchart symbols and structures are given.
- Pseudocode resembles a simplified programming language and can be used to design algorithms with advantages like readability and ease of conversion to code.
- The PDLC is
This document defines basic elements in programming including constants, variables, data types, operators, and control structures. It explains that constants store fixed values while variables can change. Different data types like integer and string are used to store different types of data. Operators perform mathematical, relational, and logical operations. Control structures include sequence, selection, and repetition to control program flow. Pseudo code and flow charts are also discussed as ways to design programs.
Sorting algorithms with animated and graphical interpretation: A web-based application that animates the complex working of computer sorting algorithms. This is done by generation of arrays followed by the procedure to choose the sorting algorithms with the speed of operations and the number of vertical graphical bars.
The document defines key computer science concepts. It explains that an algorithm is a set of steps to solve a problem, and a flowchart graphically shows algorithm steps in boxes and arrows. Conditions are statements that evaluate actions as true or false. A computer program is a collection of instructions that can be executed by a computer to perform a task. Graphical user interfaces (GUI) use graphics and icons for interaction, while character user interfaces (CUI) use only text-based commands.
This document provides an overview of key concepts for becoming a coder, including:
- Algorithms and data structures are important for writing efficient and scalable code. Big companies seek candidates skilled in optimization.
- Common programming languages, flowcharts, pseudocode, variables, data types, control structures like conditionals and loops, and approaches like functional and object-oriented programming.
- Debugging skills and integrated development environments are also discussed as essential tools.
This document provides an overview of a course on data structures and algorithm analysis. It introduces some key data structures like arrays, linked lists, stacks, and queues. It also discusses algorithm strategies such as brute force, greedy, and divide-and-conquer algorithms. The course contents are described, including reviewing programming concepts, fundamental data structures and algorithms, recursion, and more. Assessment includes assignments, quizzes, class tests, and a final exam. Common operations on data structures like traversal, insertion, deletion, and searching are explained.
The document provides information about programming tools and concepts in C programming. It discusses algorithms and flowcharts as programming construction tools. It defines an algorithm as step-by-step instructions to solve a problem and lists qualities of good algorithms. It also defines a flowchart as a diagram that represents an algorithm using different shapes and arrows. The document then discusses basic and derived data types in C language such as int, char, float, arrays, pointers, structures and unions. It lists keywords and rules for defining variables in C.
INTRODUCTION TO CODING-CLASS VI LEVEL-DESCRIPTION ABOUT SYNTAX LANGUAGERathnaM16
This document provides an introduction to coding for 6th grade students. It discusses ethical practices in coding and explains that the goal of coding is to contribute to society and avoid harming others. It also outlines what students will learn in each chapter, including real-world applications of coding, how coding impacts daily life, popular programming languages, algorithms, variables, and using conditionals for control flow. Traffic lights and barcode scanners are provided as examples of how coding is applied in everyday life.
This document provides an introduction to coding for grade 6 students. It discusses ethical practices in coding and contributing to society. It introduces concepts like real-world applications of coding, popular programming languages, and how coding impacts daily life. Traffic lights are used as an example of how a few lines of code can automatically change traffic signals. Coding is applied in many areas like grocery stores, transportation, entertainment and more.
Fundamentals of Computer 20CS11T Chapter 5.pdfTHANMAY JS
Chapter 05: INTRODUCTION TO COMPUTER PROGRAMMING
5.1 Basics of programming
• Algorithms and Flowcharts
• Basics
• Decision making
• Iterative
(With sufficient examples)
5.2 Programming Languages
• Generation of languages
• General concepts of variables and constants
An algorithm is a step-by-step process for solving a problem or completing a task. There are two main tools used to document algorithms: flowcharts and pseudocode. A flowchart is a graphical representation of an algorithm that uses standardized symbols to show the sequence of steps, while pseudocode specifies the algorithm steps using natural language. The five steps in using a computer as a problem-solving tool are: developing an algorithm and flowchart, writing the program code, entering the program into the computer, testing and debugging the program, and running the program to obtain results.
FORMALIZATION & DATA ABSTRACTION DURING USE CASE MODELING IN OBJECT ORIENTED ...cscpconf
In object oriented analysis and design, use cases represent the things of value that the system performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves around ‘what’ only we are not able to extract the data. So in order to incorporate data in use cases one must feel the need of data at the initial stages of the development. We have developed the technique to integrate data in to the uses cases. This paper is regarding our investigations to take care of data during early stages of the software development. The collected abstraction of data helps in the analysis and then assist in forming the attributes of the candidate classes. This makes sure that we will not miss any attribute that is required in the abstracted behavior using use cases. Formalization adds to the accuracy of the data abstraction. We have investigated object constraint language to perform better data abstraction during analysis & design in unified paradigm. In this paper we have presented our research regarding early stage data abstraction and its formalization.
Formalization & data abstraction during use case modeling in object oriented ...csandit
This document discusses formalization and data abstraction during use case modeling in object-oriented analysis and design. It provides background on use case modeling and describes how data can be abstracted from use case steps. The document then presents a case study on an e-retail system to demonstrate modeling use cases, actors, and their relationships. It also discusses using activity diagrams to represent use case flows and the Object Constraint Language to add formalism and accuracy to data abstraction during analysis and design.
This document provides an introduction to fundamentals of programming with C#, including definitions of key concepts like algorithms, variables, data types, operators, and conditional statements. It explains that programming involves describing what you want the computer to do as a sequence of steps or algorithms. The stages of software development are outlined as gathering requirements, planning/design, implementation, testing, deployment, support, and documentation. An overview of C# programming language fundamentals is also provided, such as basic syntax structure, defining classes and methods, and using the console for input/output.
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.
This document discusses algorithms, flowcharts, pseudocode, and data types in programming. It defines an algorithm as a step-by-step procedure to solve problems. Pseudocode uses natural language to describe an algorithm, while a flowchart provides a graphical representation. The document also discusses using flowcharts and pseudocode in the planning process, and defines common data types like integer, string, boolean and their uses in programming.
This document provides an introduction to data structures and algorithms. It discusses why they are important for programming and problem solving. It defines key concepts like abstract data types, data structures, algorithms, and algorithm analysis. It also covers different ways of classifying data structures and analyzing the time and space complexity of algorithms. The goal is to help students understand fundamental concepts around organizing data and designing efficient computational procedures.
This document outlines the syllabus for the course CS8592 - Object Oriented Analysis and Design (V-Semester). The objectives of the course are to understand object modeling fundamentals, the Unified Process approach, and designing with UML diagrams. The syllabus is divided into 5 units covering topics like the Unified Process, use case modeling, static UML diagrams, dynamic/implementation diagrams, design patterns, and testing. The outcomes are for students to be able to express software design with UML, identify scenarios based on requirements, transform designs into pattern-based designs, and understand various OO testing methodologies.
The document discusses data structures and algorithms. It defines a data structure as a way of storing and organizing data so that it can be used efficiently by algorithms. Choosing the right data structure is important for designing efficient algorithms. Common data structures include arrays, lists, trees, and tables. The document also defines an algorithm as a set of steps to solve a problem and lists properties like being unambiguous and having a clear stopping point. Algorithms can be represented using natural language, pseudo-code, or flowcharts.
The document discusses various aspects of developing computer programs and systems. It covers topics like how programmers move from defining a problem to developing an algorithm and writing code. It also discusses programming languages, structured and object-oriented programming methodologies, and the systems development life cycle from analysis through maintenance.
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 document defines basic elements in programming including constants, variables, data types, operators, and control structures. It explains that constants store fixed values while variables can change. Different data types like integer and string are used to store different types of data. Operators perform mathematical, relational, and logical operations. Control structures include sequence, selection, and repetition to control program flow. Pseudo code and flow charts are also discussed as ways to design programs.
Sorting algorithms with animated and graphical interpretation: A web-based application that animates the complex working of computer sorting algorithms. This is done by generation of arrays followed by the procedure to choose the sorting algorithms with the speed of operations and the number of vertical graphical bars.
The document defines key computer science concepts. It explains that an algorithm is a set of steps to solve a problem, and a flowchart graphically shows algorithm steps in boxes and arrows. Conditions are statements that evaluate actions as true or false. A computer program is a collection of instructions that can be executed by a computer to perform a task. Graphical user interfaces (GUI) use graphics and icons for interaction, while character user interfaces (CUI) use only text-based commands.
This document provides an overview of key concepts for becoming a coder, including:
- Algorithms and data structures are important for writing efficient and scalable code. Big companies seek candidates skilled in optimization.
- Common programming languages, flowcharts, pseudocode, variables, data types, control structures like conditionals and loops, and approaches like functional and object-oriented programming.
- Debugging skills and integrated development environments are also discussed as essential tools.
This document provides an overview of a course on data structures and algorithm analysis. It introduces some key data structures like arrays, linked lists, stacks, and queues. It also discusses algorithm strategies such as brute force, greedy, and divide-and-conquer algorithms. The course contents are described, including reviewing programming concepts, fundamental data structures and algorithms, recursion, and more. Assessment includes assignments, quizzes, class tests, and a final exam. Common operations on data structures like traversal, insertion, deletion, and searching are explained.
The document provides information about programming tools and concepts in C programming. It discusses algorithms and flowcharts as programming construction tools. It defines an algorithm as step-by-step instructions to solve a problem and lists qualities of good algorithms. It also defines a flowchart as a diagram that represents an algorithm using different shapes and arrows. The document then discusses basic and derived data types in C language such as int, char, float, arrays, pointers, structures and unions. It lists keywords and rules for defining variables in C.
INTRODUCTION TO CODING-CLASS VI LEVEL-DESCRIPTION ABOUT SYNTAX LANGUAGERathnaM16
This document provides an introduction to coding for 6th grade students. It discusses ethical practices in coding and explains that the goal of coding is to contribute to society and avoid harming others. It also outlines what students will learn in each chapter, including real-world applications of coding, how coding impacts daily life, popular programming languages, algorithms, variables, and using conditionals for control flow. Traffic lights and barcode scanners are provided as examples of how coding is applied in everyday life.
This document provides an introduction to coding for grade 6 students. It discusses ethical practices in coding and contributing to society. It introduces concepts like real-world applications of coding, popular programming languages, and how coding impacts daily life. Traffic lights are used as an example of how a few lines of code can automatically change traffic signals. Coding is applied in many areas like grocery stores, transportation, entertainment and more.
Fundamentals of Computer 20CS11T Chapter 5.pdfTHANMAY JS
Chapter 05: INTRODUCTION TO COMPUTER PROGRAMMING
5.1 Basics of programming
• Algorithms and Flowcharts
• Basics
• Decision making
• Iterative
(With sufficient examples)
5.2 Programming Languages
• Generation of languages
• General concepts of variables and constants
An algorithm is a step-by-step process for solving a problem or completing a task. There are two main tools used to document algorithms: flowcharts and pseudocode. A flowchart is a graphical representation of an algorithm that uses standardized symbols to show the sequence of steps, while pseudocode specifies the algorithm steps using natural language. The five steps in using a computer as a problem-solving tool are: developing an algorithm and flowchart, writing the program code, entering the program into the computer, testing and debugging the program, and running the program to obtain results.
FORMALIZATION & DATA ABSTRACTION DURING USE CASE MODELING IN OBJECT ORIENTED ...cscpconf
In object oriented analysis and design, use cases represent the things of value that the system performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves around ‘what’ only we are not able to extract the data. So in order to incorporate data in use cases one must feel the need of data at the initial stages of the development. We have developed the technique to integrate data in to the uses cases. This paper is regarding our investigations to take care of data during early stages of the software development. The collected abstraction of data helps in the analysis and then assist in forming the attributes of the candidate classes. This makes sure that we will not miss any attribute that is required in the abstracted behavior using use cases. Formalization adds to the accuracy of the data abstraction. We have investigated object constraint language to perform better data abstraction during analysis & design in unified paradigm. In this paper we have presented our research regarding early stage data abstraction and its formalization.
Formalization & data abstraction during use case modeling in object oriented ...csandit
This document discusses formalization and data abstraction during use case modeling in object-oriented analysis and design. It provides background on use case modeling and describes how data can be abstracted from use case steps. The document then presents a case study on an e-retail system to demonstrate modeling use cases, actors, and their relationships. It also discusses using activity diagrams to represent use case flows and the Object Constraint Language to add formalism and accuracy to data abstraction during analysis and design.
This document provides an introduction to fundamentals of programming with C#, including definitions of key concepts like algorithms, variables, data types, operators, and conditional statements. It explains that programming involves describing what you want the computer to do as a sequence of steps or algorithms. The stages of software development are outlined as gathering requirements, planning/design, implementation, testing, deployment, support, and documentation. An overview of C# programming language fundamentals is also provided, such as basic syntax structure, defining classes and methods, and using the console for input/output.
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.
This document discusses algorithms, flowcharts, pseudocode, and data types in programming. It defines an algorithm as a step-by-step procedure to solve problems. Pseudocode uses natural language to describe an algorithm, while a flowchart provides a graphical representation. The document also discusses using flowcharts and pseudocode in the planning process, and defines common data types like integer, string, boolean and their uses in programming.
This document provides an introduction to data structures and algorithms. It discusses why they are important for programming and problem solving. It defines key concepts like abstract data types, data structures, algorithms, and algorithm analysis. It also covers different ways of classifying data structures and analyzing the time and space complexity of algorithms. The goal is to help students understand fundamental concepts around organizing data and designing efficient computational procedures.
This document outlines the syllabus for the course CS8592 - Object Oriented Analysis and Design (V-Semester). The objectives of the course are to understand object modeling fundamentals, the Unified Process approach, and designing with UML diagrams. The syllabus is divided into 5 units covering topics like the Unified Process, use case modeling, static UML diagrams, dynamic/implementation diagrams, design patterns, and testing. The outcomes are for students to be able to express software design with UML, identify scenarios based on requirements, transform designs into pattern-based designs, and understand various OO testing methodologies.
The document discusses data structures and algorithms. It defines a data structure as a way of storing and organizing data so that it can be used efficiently by algorithms. Choosing the right data structure is important for designing efficient algorithms. Common data structures include arrays, lists, trees, and tables. The document also defines an algorithm as a set of steps to solve a problem and lists properties like being unambiguous and having a clear stopping point. Algorithms can be represented using natural language, pseudo-code, or flowcharts.
The document discusses various aspects of developing computer programs and systems. It covers topics like how programmers move from defining a problem to developing an algorithm and writing code. It also discusses programming languages, structured and object-oriented programming methodologies, and the systems development life cycle from analysis through maintenance.
Similar to Progression pathways - topics created by Go OTA (20)
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.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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