In the words of Steve Jobs, "Computer science is a liberal arts". Let's create digital artwork and introduce how you can make animated stories with Scratch. Learn about Cartesian coordinates, algorithms, and sequencing.
The document discusses number systems and the importance of the binary number system. It explains that computers use binary because electronic components can only represent two states, 0 and 1. The binary system is convenient for computer circuits to process data and reduces costs while improving reliability. Decimal, binary, octal, and hexadecimal number systems are used in computers.
This document contains the module names and grades for a student across their first, second, third and fourth years of study. In their fourth year, the student is taking modules in computer science, theory of computation, artificial intelligence and other technical topics. Earlier year results show grades for modules in mathematics, psychology, biology, physics and computer science. The grades range from the high 70s to low 60s, indicating overall good but not outstanding academic performance through the years of study.
The computer science program at Dongryul Jeong's university has four stages. Stages 1-3 involve 50 programme credits and 10 elective credits each, covering topics like programming, mathematics, databases, algorithms, and software engineering. Stage 4 involves 60 programme credits and no elective credits, allowing students to choose from advanced subjects and complete a project. The document provides overview information about the content and focus of each stage to help students prepare for the program.
This document discusses an introduction to coding by learning Scratch. It covers why coding is important by empowering creativity and problem solving. It then discusses the three main logic patterns in coding: sequencing which orders actions, branching where conditions are checked and decisions are made, and looping which repeats actions either forever or a set number of times. Examples are provided for each logic pattern.
This document provides an introduction to learning how to code with Scratch. It discusses the importance of coding by emphasizing skills like problem solving and resilience. The core concepts covered include sequencing, branching, and looping as fundamental logic patterns. Examples are given of quizzes and games created in Scratch to demonstrate these patterns. The document outlines a 3-part plan to introduce digital artwork, animated stories, and building a computer game to teach additional coding concepts.
This document provides an introduction to the Csci 107 Introduction to Computer Science course. It discusses administrative details about the class website and outlines what computer science entails. Computer science is defined as the study of algorithms, their properties, efficiency, applications to problems, and their implementation through programming languages and computer hardware. An algorithm is a well-defined procedure to solve a problem that must be ordered, understandable, solve the problem, and terminate. Examples of algorithms include cooking recipes, making a sandwich, and adding multi-digit numbers. The next class will cover Chapter 1 of the textbook and thinking through the algorithm to add two multi-digit numbers.
This document discusses using the Scratch coding platform to teach mathematical concepts aligned with the Next Generation Science Standards. It provides an example of using Scratch to calculate the sum of numbers from 1 to 100 by creating variables, loops, and conditional statements. The document outlines the steps taken, discusses issues with initial solutions, and describes refining the code to arrive at the correct solution. It also provides additional examples and resources for using Scratch in math education.
DOES15 - Mirco Hering - Adopting DevOps Practices for Systems of Record – An ...Gene Kim
1) The document discusses DevOps for systems of record (SOR), also known as packaged software, non-custom code, or older custom code.
2) It provides 3 simple steps to start a DevOps journey for SORs: find the code, create an "IKEA manual", and understand the path to production.
3) Significant benefits are possible from adopting DevOps practices for SORs, such as reducing merge times from 2 weeks to 3 days, but challenges remain around issues like unit testing and configuration management.
The document discusses number systems and the importance of the binary number system. It explains that computers use binary because electronic components can only represent two states, 0 and 1. The binary system is convenient for computer circuits to process data and reduces costs while improving reliability. Decimal, binary, octal, and hexadecimal number systems are used in computers.
This document contains the module names and grades for a student across their first, second, third and fourth years of study. In their fourth year, the student is taking modules in computer science, theory of computation, artificial intelligence and other technical topics. Earlier year results show grades for modules in mathematics, psychology, biology, physics and computer science. The grades range from the high 70s to low 60s, indicating overall good but not outstanding academic performance through the years of study.
The computer science program at Dongryul Jeong's university has four stages. Stages 1-3 involve 50 programme credits and 10 elective credits each, covering topics like programming, mathematics, databases, algorithms, and software engineering. Stage 4 involves 60 programme credits and no elective credits, allowing students to choose from advanced subjects and complete a project. The document provides overview information about the content and focus of each stage to help students prepare for the program.
This document discusses an introduction to coding by learning Scratch. It covers why coding is important by empowering creativity and problem solving. It then discusses the three main logic patterns in coding: sequencing which orders actions, branching where conditions are checked and decisions are made, and looping which repeats actions either forever or a set number of times. Examples are provided for each logic pattern.
This document provides an introduction to learning how to code with Scratch. It discusses the importance of coding by emphasizing skills like problem solving and resilience. The core concepts covered include sequencing, branching, and looping as fundamental logic patterns. Examples are given of quizzes and games created in Scratch to demonstrate these patterns. The document outlines a 3-part plan to introduce digital artwork, animated stories, and building a computer game to teach additional coding concepts.
This document provides an introduction to the Csci 107 Introduction to Computer Science course. It discusses administrative details about the class website and outlines what computer science entails. Computer science is defined as the study of algorithms, their properties, efficiency, applications to problems, and their implementation through programming languages and computer hardware. An algorithm is a well-defined procedure to solve a problem that must be ordered, understandable, solve the problem, and terminate. Examples of algorithms include cooking recipes, making a sandwich, and adding multi-digit numbers. The next class will cover Chapter 1 of the textbook and thinking through the algorithm to add two multi-digit numbers.
This document discusses using the Scratch coding platform to teach mathematical concepts aligned with the Next Generation Science Standards. It provides an example of using Scratch to calculate the sum of numbers from 1 to 100 by creating variables, loops, and conditional statements. The document outlines the steps taken, discusses issues with initial solutions, and describes refining the code to arrive at the correct solution. It also provides additional examples and resources for using Scratch in math education.
DOES15 - Mirco Hering - Adopting DevOps Practices for Systems of Record – An ...Gene Kim
1) The document discusses DevOps for systems of record (SOR), also known as packaged software, non-custom code, or older custom code.
2) It provides 3 simple steps to start a DevOps journey for SORs: find the code, create an "IKEA manual", and understand the path to production.
3) Significant benefits are possible from adopting DevOps practices for SORs, such as reducing merge times from 2 weeks to 3 days, but challenges remain around issues like unit testing and configuration management.
Mirco hering devops for systems of record finalMirco Hering
1) The document discusses DevOps for systems of record (SOR), also known as packaged software, non-custom code, or older custom code.
2) It provides 3 simple steps to start a DevOps journey for SORs: find the code, create an "IKEA manual", and understand the path to production.
3) Significant benefits are possible from adopting DevOps practices for SORs, such as reducing merge times from 2 weeks to 3 days, but challenges remain around issues like unit testing and configuration management.
Understanding Log Lines using Development KnowledgeSAIL_QU
1. Practitioners have challenges understanding log lines and often ask experts for help.
2. The study examined real-life log inquiries from user mailing lists and found they typically ask about the meaning, cause, context, solution or impact.
3. The approach proposes attaching development knowledge like code, commits, issues and comments to logs to help answer these common questions and resolve inquiries.
This document outlines the curriculum for a Master of Technology (Computer Science and Engineering) degree program. It includes the course requirements and electives for each of the four semesters. In the first semester, students will take courses in mathematical foundations, computer architecture, data structures and algorithms, computer networks, and research methodology. They will also complete labs in network management and a term paper. The subsequent semesters include additional theory courses, labs, and electives in areas such as databases, distributed systems, software engineering, and a capstone project. The degree requires a total of 75 credits over four semesters.
Anoushiravan Ghamsari, known as Anoush Ghamsari is a brilliant architect, the way he uses his creativity to create phenomenal concepts is beyond this world.
This presentation briefs about International Collegiate Programming Contest(ICPC) which is organized by ACM and sponsored by IBM.
This is delivered at VB Siddardha Colleges, Vijayawada on 10th Mar 2015. Somehow Indian participation is not attractive. I am encouraging Indian students to participate in this competition by delivering lectures like this.
This document provides an overview of signals and signal extraction methodology. It begins with defining a signal as a pattern that is indicative of an impending business outcome. Examples of signals in different industries are provided. The document then outlines a 9-step methodology for extracting signals from data, including defining the business problem, building a data model, conducting univariate and correlation analysis, building predictive models, creating a business narrative, and identifying actions and ROI. R commands for loading, manipulating, and analyzing data in R are also demonstrated. The key points are that signals can provide early warnings for business outcomes and the outlined methodology is a rigorous approach for extracting meaningful signals from data.
This document provides information about the course "Computer System Architecture". It is a 3 credit hour course introduced in 2016. The course aims to impart understanding of parallel architectures and high performance computers. The syllabus covers topics like parallel computer models, multiprocessors, cache coherence protocols, pipelining, and multithreading. The expected outcomes are that students will be able to summarize parallel models, analyze advanced processors and memory hierarchy, and appraise concepts of parallel architectures. The course is divided into 6 modules covering these topics, and assessed through internal exams, assignments, and an end semester exam.
Concepts, use cases and principles to build big data systems (1)Trieu Nguyen
1) Introduction to the key Big Data concepts
1.1 The Origins of Big Data
1.2 What is Big Data ?
1.3 Why is Big Data So Important ?
1.4 How Is Big Data Used In Practice ?
2) Introduction to the key principles of Big Data Systems
2.1 How to design Data Pipeline in 6 steps
2.2 Using Lambda Architecture for big data processing
3) Practical case study : Chat bot with Video Recommendation Engine
4) FAQ for student
This document discusses the problem solving process in programming. It describes the three main phases: analyzing the problem, designing an algorithm to solve it, and implementing the algorithm in code. In the analysis phase, the problem and requirements are outlined, and a flowchart or pseudocode is used to design the algorithm. In the implementation phase, the algorithm is coded into a program. Finally, the program is tested to verify it works correctly and identify any errors. The key steps of each phase are explained in detail with examples.
This document outlines the syllabus for the subject "Design and Analysis of Algorithms" for the 3rd year 1st semester students of the Computer Science and Engineering department with specialization in Cyber Security at CMR Engineering College.
The syllabus is divided into 5 units which cover topics like algorithm analysis, asymptotic notations, algorithm design techniques like divide and conquer, dynamic programming, greedy algorithms etc. It also discusses NP-hard and NP-complete problems. The document provides the textbook and references for the subject. It further includes introductions to different units explaining key concepts like algorithms, properties of algorithms, ways to represent algorithms, need for algorithm analysis etc.
Introduction to Design Algorithm And Analysis.pptBhargaviDalal4
This document contains the syllabus for the subject "Design and Analysis of Algorithms" for the 3rd year 1st semester students of CMR Engineering College. It includes 5 units - Introduction, Disjoint Sets and Backtracking, Dynamic Programming and Greedy Methods, Branch and Bound, and NP-Hard and NP-Complete problems. The introduction covers topics like algorithm complexity analysis and divide and conquer algorithms. The syllabus outlines core algorithms topics and applications like binary search, quicksort, dynamic programming, shortest paths, knapsack etc. that will be covered in the course.
The document summarizes the major research areas in computer science, dividing them into theoretical and applied branches. Theoretical areas include theory of computation, algorithms and data structures, programming language theory, and formal methods. Applied areas include artificial intelligence, computer architecture, computer graphics, computer security, and software engineering. The document traces the history of computer science as a field and provides examples to illustrate key concepts within each research area.
This document provides information about a course on computer architecture and hardware/software interface including:
- The instructor, their contact information, lecture times and office hours. Required textbooks and the course topics that will be covered over the semester.
- The grading system including exams, homework assignments, projects and their weights.
- A calendar of course topics, assigned readings, exams and homework due dates over the 14 week semester.
This document provides information about a course titled "Introduction to Computer Architecture and Hardware/Software Interface". It outlines the course objectives, topics, textbook, grading system, exam and assignment schedule, and other details. The course introduces computer organization and architecture, addressing methods, instruction set architectures, CPU and memory architecture, I/O organization, and assembly language programming. It includes four exams, four homework assignments, and laboratory projects.
Smart like a Fox: How clever students trick dumb programming assignment asses...Nane Kratzke
This case study reports on two first-semester programming courses with more than 190 students. Both courses made use of automated assessments. We observed how students trick these systems by analysing the version history of suspect submissions. By analysing more than 3300 submissions, we revealed four astonishingly simple tricks (overfitting, evasion) and cheat-patterns (redirection, and injection) that students used to trick automated programming assignment assessment systems (APAAS). Although not the main focus of this study, it discusses and proposes corresponding counter-measures where appropriate.
Nevertheless, the primary intent of this paper is to raise problem awareness and to identify and systematise observable problem patterns in a more formal approach. The identified immaturity of existing APAAS solutions might have implications for courses that rely deeply on automation like MOOCs. Therefore, we conclude to look at APAAS solutions much more from a security point of view (code injection). Moreover, we identify the need to evolve existing unit testing frameworks into more evaluation-oriented teaching solutions that provide better trick and cheat detection capabilities and differentiated grading support.
Computer science curriculum based on Program learning outcomes and objectivesJawad Khan
The document outlines a computer science curriculum that meets industry needs and student expectations. It discusses using an outcome-based approach with defined course and program learning objectives. The program learning objectives for computer science include imparting an understanding of basics, developing proficiency in computing practices, and preparing for continued professional development. A case study demonstrates how to design a course on computer programming by discovering real-world applications of the topic, breaking problems down into learnable parts, and developing course content based on the application, programming language, and concepts needed to solve the problems. The goal is to develop a curriculum with industrial applications that cover topics from the computer science discipline.
This document discusses ways to raise the bar of software development by combining it with other disciplines. It proposes 6 intersections between software design and other fields: 1) Software Design and UX, 2) Other design disciplines, 3) Materials Science, 4) Math, 5) Engineering principles of built-in self-testing, and 6) Reaching out to scientists. It argues that considering ideas from other domains could improve software design and help address challenges like dependencies in legacy code. The document also suggests ways to fundamentally change development by precisely defining requirements and generating code from them.
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.
More Related Content
Similar to Create digital artwork and an animated story
Mirco hering devops for systems of record finalMirco Hering
1) The document discusses DevOps for systems of record (SOR), also known as packaged software, non-custom code, or older custom code.
2) It provides 3 simple steps to start a DevOps journey for SORs: find the code, create an "IKEA manual", and understand the path to production.
3) Significant benefits are possible from adopting DevOps practices for SORs, such as reducing merge times from 2 weeks to 3 days, but challenges remain around issues like unit testing and configuration management.
Understanding Log Lines using Development KnowledgeSAIL_QU
1. Practitioners have challenges understanding log lines and often ask experts for help.
2. The study examined real-life log inquiries from user mailing lists and found they typically ask about the meaning, cause, context, solution or impact.
3. The approach proposes attaching development knowledge like code, commits, issues and comments to logs to help answer these common questions and resolve inquiries.
This document outlines the curriculum for a Master of Technology (Computer Science and Engineering) degree program. It includes the course requirements and electives for each of the four semesters. In the first semester, students will take courses in mathematical foundations, computer architecture, data structures and algorithms, computer networks, and research methodology. They will also complete labs in network management and a term paper. The subsequent semesters include additional theory courses, labs, and electives in areas such as databases, distributed systems, software engineering, and a capstone project. The degree requires a total of 75 credits over four semesters.
Anoushiravan Ghamsari, known as Anoush Ghamsari is a brilliant architect, the way he uses his creativity to create phenomenal concepts is beyond this world.
This presentation briefs about International Collegiate Programming Contest(ICPC) which is organized by ACM and sponsored by IBM.
This is delivered at VB Siddardha Colleges, Vijayawada on 10th Mar 2015. Somehow Indian participation is not attractive. I am encouraging Indian students to participate in this competition by delivering lectures like this.
This document provides an overview of signals and signal extraction methodology. It begins with defining a signal as a pattern that is indicative of an impending business outcome. Examples of signals in different industries are provided. The document then outlines a 9-step methodology for extracting signals from data, including defining the business problem, building a data model, conducting univariate and correlation analysis, building predictive models, creating a business narrative, and identifying actions and ROI. R commands for loading, manipulating, and analyzing data in R are also demonstrated. The key points are that signals can provide early warnings for business outcomes and the outlined methodology is a rigorous approach for extracting meaningful signals from data.
This document provides information about the course "Computer System Architecture". It is a 3 credit hour course introduced in 2016. The course aims to impart understanding of parallel architectures and high performance computers. The syllabus covers topics like parallel computer models, multiprocessors, cache coherence protocols, pipelining, and multithreading. The expected outcomes are that students will be able to summarize parallel models, analyze advanced processors and memory hierarchy, and appraise concepts of parallel architectures. The course is divided into 6 modules covering these topics, and assessed through internal exams, assignments, and an end semester exam.
Concepts, use cases and principles to build big data systems (1)Trieu Nguyen
1) Introduction to the key Big Data concepts
1.1 The Origins of Big Data
1.2 What is Big Data ?
1.3 Why is Big Data So Important ?
1.4 How Is Big Data Used In Practice ?
2) Introduction to the key principles of Big Data Systems
2.1 How to design Data Pipeline in 6 steps
2.2 Using Lambda Architecture for big data processing
3) Practical case study : Chat bot with Video Recommendation Engine
4) FAQ for student
This document discusses the problem solving process in programming. It describes the three main phases: analyzing the problem, designing an algorithm to solve it, and implementing the algorithm in code. In the analysis phase, the problem and requirements are outlined, and a flowchart or pseudocode is used to design the algorithm. In the implementation phase, the algorithm is coded into a program. Finally, the program is tested to verify it works correctly and identify any errors. The key steps of each phase are explained in detail with examples.
This document outlines the syllabus for the subject "Design and Analysis of Algorithms" for the 3rd year 1st semester students of the Computer Science and Engineering department with specialization in Cyber Security at CMR Engineering College.
The syllabus is divided into 5 units which cover topics like algorithm analysis, asymptotic notations, algorithm design techniques like divide and conquer, dynamic programming, greedy algorithms etc. It also discusses NP-hard and NP-complete problems. The document provides the textbook and references for the subject. It further includes introductions to different units explaining key concepts like algorithms, properties of algorithms, ways to represent algorithms, need for algorithm analysis etc.
Introduction to Design Algorithm And Analysis.pptBhargaviDalal4
This document contains the syllabus for the subject "Design and Analysis of Algorithms" for the 3rd year 1st semester students of CMR Engineering College. It includes 5 units - Introduction, Disjoint Sets and Backtracking, Dynamic Programming and Greedy Methods, Branch and Bound, and NP-Hard and NP-Complete problems. The introduction covers topics like algorithm complexity analysis and divide and conquer algorithms. The syllabus outlines core algorithms topics and applications like binary search, quicksort, dynamic programming, shortest paths, knapsack etc. that will be covered in the course.
The document summarizes the major research areas in computer science, dividing them into theoretical and applied branches. Theoretical areas include theory of computation, algorithms and data structures, programming language theory, and formal methods. Applied areas include artificial intelligence, computer architecture, computer graphics, computer security, and software engineering. The document traces the history of computer science as a field and provides examples to illustrate key concepts within each research area.
This document provides information about a course on computer architecture and hardware/software interface including:
- The instructor, their contact information, lecture times and office hours. Required textbooks and the course topics that will be covered over the semester.
- The grading system including exams, homework assignments, projects and their weights.
- A calendar of course topics, assigned readings, exams and homework due dates over the 14 week semester.
This document provides information about a course titled "Introduction to Computer Architecture and Hardware/Software Interface". It outlines the course objectives, topics, textbook, grading system, exam and assignment schedule, and other details. The course introduces computer organization and architecture, addressing methods, instruction set architectures, CPU and memory architecture, I/O organization, and assembly language programming. It includes four exams, four homework assignments, and laboratory projects.
Smart like a Fox: How clever students trick dumb programming assignment asses...Nane Kratzke
This case study reports on two first-semester programming courses with more than 190 students. Both courses made use of automated assessments. We observed how students trick these systems by analysing the version history of suspect submissions. By analysing more than 3300 submissions, we revealed four astonishingly simple tricks (overfitting, evasion) and cheat-patterns (redirection, and injection) that students used to trick automated programming assignment assessment systems (APAAS). Although not the main focus of this study, it discusses and proposes corresponding counter-measures where appropriate.
Nevertheless, the primary intent of this paper is to raise problem awareness and to identify and systematise observable problem patterns in a more formal approach. The identified immaturity of existing APAAS solutions might have implications for courses that rely deeply on automation like MOOCs. Therefore, we conclude to look at APAAS solutions much more from a security point of view (code injection). Moreover, we identify the need to evolve existing unit testing frameworks into more evaluation-oriented teaching solutions that provide better trick and cheat detection capabilities and differentiated grading support.
Computer science curriculum based on Program learning outcomes and objectivesJawad Khan
The document outlines a computer science curriculum that meets industry needs and student expectations. It discusses using an outcome-based approach with defined course and program learning objectives. The program learning objectives for computer science include imparting an understanding of basics, developing proficiency in computing practices, and preparing for continued professional development. A case study demonstrates how to design a course on computer programming by discovering real-world applications of the topic, breaking problems down into learnable parts, and developing course content based on the application, programming language, and concepts needed to solve the problems. The goal is to develop a curriculum with industrial applications that cover topics from the computer science discipline.
This document discusses ways to raise the bar of software development by combining it with other disciplines. It proposes 6 intersections between software design and other fields: 1) Software Design and UX, 2) Other design disciplines, 3) Materials Science, 4) Math, 5) Engineering principles of built-in self-testing, and 6) Reaching out to scientists. It argues that considering ideas from other domains could improve software design and help address challenges like dependencies in legacy code. The document also suggests ways to fundamentally change development by precisely defining requirements and generating code from them.
Similar to Create digital artwork and an animated story (20)
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.
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.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
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.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
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.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
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 Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
2. Introduction
1. About me http://bit.ly/2pAVVYx
2. What is coding?
a. Algorithms
b. Program
3. 2 new Technologies subjects
a. Digital Technologies
b. Design and Technology
4. 3 modes of thinking
a. Computational thinking
b. Systems thinking
c. Design thinking
5. Create digital solutions
a. Technology consumption vs technology creation
3. Why is coding important?
1. Empowering, creative, digital literacy, encourages curiosity
2. Create digital solutions
3. Technology consumption vs technology creation
4. Resilience through failure
5. Problem solving as a pathway to entrepreneurship
9. 3 logic patterns
Branching
- Computer checks for conditions
- Computer makes a decision based on conditions
- Real life examples: traffic lights, air conditioner
12. Pattern studio
Steps (Make a plan):
1. Cat
a. Arrow keys
b. Rainbow pen
2. Clear button
3. Stamp button
4. More buttons?
https://scratch.mit.edu/projects/95257082/
13. An animation movie
Steps (Make a plan):
1. Scene 1
a. Puppy
b. Butterfly
c. Rocket
2. Scene 2
a. Puppy
b. Butterfly
c. Rocket
3. Scene 3
a. Puppy
b. Butterfly
c. Rocket
https://scratch.mit.edu/projects/116001774/