The document provides an overview of key concepts in C++, including:
1) C++ adds object-oriented programming capabilities to C while maintaining C's power and flexibility. It was created in 1979 to provide object-oriented programming features to C.
2) Object-oriented programming encourages breaking problems into constituent parts called objects that contain related instructions and data. The three main traits of OOP are encapsulation, polymorphism, and inheritance.
3) C++ supports both traditional and modern styles, with newer headers placed in the std namespace. Keywords like class, public, and virtual allow defining classes and controlling access to members. Functions can be overloaded if their signatures differ.
This presentation will introduce you to programming languages that support different programming paradigms and to give you the knowledge of basic concepts and techniques that will allow them to differentiate between various programming paradigms.
Pseudocode is an outline of a program written in a way that can be easily converted to a programming language. It uses natural language and programming constructs like expressions, methods, decision structures, loops, and array indexing. The three essential programming constructs are selection (if/else), repetition (while loops), and sequence. Pseudocode also uses relational, logical, and arithmetic operators and follows rules like using meaningful names and indenting code blocks.
The document discusses key components and concepts related to operating system structures. It describes common system components like process management, memory management, file management, I/O management, and more. It then provides more details on specific topics like the role of processes, main memory management, file systems, I/O systems, secondary storage, networking, protection systems, and command interpreters in operating systems. Finally, it discusses operating system services, system calls, and how parameters are passed between programs and the operating system.
This document outlines several criteria for evaluating programming languages:
Readability is affected by a language's simplicity, structure, and syntax and determines how easily programs can be understood. Writability, which influences how easily programs can be created, is impacted by simplicity, structure, and abstraction. Reliability, the ability of a program to perform as specified, depends on type checking, exception handling, aliasing, and readability and writability. Cost is determined by factors like training, development, compilation, and maintenance, and is most dependent on a language's readability and writability.
Design thinking is an iterative problem-solving process of discovery, employs various techniques to gain insight and produce innovative solutions for any type of challenge (academic or non-academic (organizational or business)).
1) Variables are used in programming to store and manipulate data values. They must be declared with a name and data type.
2) Variables can be initialized during or after declaration by assigning them a value. User input can be obtained and assigned to variables using functions like Console.ReadLine().
3) Constants are variables whose values cannot change once declared, while the scope of a variable determines where it can be accessed within a program.
The document discusses compiler design options and the differences between compilers and interpreters. It states that a compiler converts a high-level language program into machine code all at once, while an interpreter converts the program line-by-line at runtime. Compilers generally execute programs faster but take longer to compile, while interpreters execute more slowly but can compile incrementally and debug line-by-line. The document also covers pure and impure interpreters, p-code compilers, and the roles of compilers and interpreters.
The document provides an overview of key concepts in C++, including:
1) C++ adds object-oriented programming capabilities to C while maintaining C's power and flexibility. It was created in 1979 to provide object-oriented programming features to C.
2) Object-oriented programming encourages breaking problems into constituent parts called objects that contain related instructions and data. The three main traits of OOP are encapsulation, polymorphism, and inheritance.
3) C++ supports both traditional and modern styles, with newer headers placed in the std namespace. Keywords like class, public, and virtual allow defining classes and controlling access to members. Functions can be overloaded if their signatures differ.
This presentation will introduce you to programming languages that support different programming paradigms and to give you the knowledge of basic concepts and techniques that will allow them to differentiate between various programming paradigms.
Pseudocode is an outline of a program written in a way that can be easily converted to a programming language. It uses natural language and programming constructs like expressions, methods, decision structures, loops, and array indexing. The three essential programming constructs are selection (if/else), repetition (while loops), and sequence. Pseudocode also uses relational, logical, and arithmetic operators and follows rules like using meaningful names and indenting code blocks.
The document discusses key components and concepts related to operating system structures. It describes common system components like process management, memory management, file management, I/O management, and more. It then provides more details on specific topics like the role of processes, main memory management, file systems, I/O systems, secondary storage, networking, protection systems, and command interpreters in operating systems. Finally, it discusses operating system services, system calls, and how parameters are passed between programs and the operating system.
This document outlines several criteria for evaluating programming languages:
Readability is affected by a language's simplicity, structure, and syntax and determines how easily programs can be understood. Writability, which influences how easily programs can be created, is impacted by simplicity, structure, and abstraction. Reliability, the ability of a program to perform as specified, depends on type checking, exception handling, aliasing, and readability and writability. Cost is determined by factors like training, development, compilation, and maintenance, and is most dependent on a language's readability and writability.
Design thinking is an iterative problem-solving process of discovery, employs various techniques to gain insight and produce innovative solutions for any type of challenge (academic or non-academic (organizational or business)).
1) Variables are used in programming to store and manipulate data values. They must be declared with a name and data type.
2) Variables can be initialized during or after declaration by assigning them a value. User input can be obtained and assigned to variables using functions like Console.ReadLine().
3) Constants are variables whose values cannot change once declared, while the scope of a variable determines where it can be accessed within a program.
The document discusses compiler design options and the differences between compilers and interpreters. It states that a compiler converts a high-level language program into machine code all at once, while an interpreter converts the program line-by-line at runtime. Compilers generally execute programs faster but take longer to compile, while interpreters execute more slowly but can compile incrementally and debug line-by-line. The document also covers pure and impure interpreters, p-code compilers, and the roles of compilers and interpreters.
Introduction to Problem Solving Techniques- PythonPriyankaC44
This document provides an introduction to problem solving techniques and programming languages. It discusses algorithms, flowcharts, pseudocode, and program control structures. It then covers the four generations of programming languages:
1) First generation languages used machine code and assembly languages.
2) Second generation languages included compiled languages like FORTRAN and COBOL.
3) Third generation languages improved on previous generations with features like data abstraction and modular programming.
4) Fourth generation and beyond focused on visual and non-procedural languages.
Pseudocode is a design tool that is more reflective of structured programming concepts than flowcharts. It uses keywords, indentation, and one statement per line to describe the logic of a program. Some common pseudocode keywords include READ, WRITE, IF, ELSE, ENDIF, WHILE, ENDWHILE. Pseudocode avoids some of the issues that flowcharts have with separating selection and looping structures. Overall, pseudocode provides a way to design programs using natural language statements rather than visual representations.
This presentation discusses system calls and provides an overview of their key aspects:
System calls provide an interface between processes and the operating system. They allow programs to request services from the OS like reading/writing files. There are different methods of passing parameters to the OS, such as via registers, parameter blocks, or pushing to the stack. System calls fall into categories including process control, file management, device management, information maintenance, and communication. An example is given of how system calls would be used in a program to copy data between two files.
C was developed by Dennis Ritchie while C++ was developed by Bjarne Stroustrup as an extension of C. C supports structured programming while C++ supports both structured and object-oriented programming. C++ adds object-oriented features like data encapsulation, inheritance, and polymorphism to C and is a superset of C.
The document discusses different types of structures used in pseudocode: sequence, selection, and iteration. It provides examples of each, including a program to make a cup of tea that uses all three structures. Selection is demonstrated using an if/else statement to choose whether to add sugar. Iteration is shown with a while loop to repeatedly fill a kettle until full. The document also provides examples of algorithms written in pseudocode, such as checking if a number is prime.
The document discusses algorithms and pseudocode conventions. It defines an algorithm as a step-by-step procedure to solve a problem and get the desired output. Some key characteristics of algorithms are that they must be unambiguous, have well-defined inputs and outputs, terminate after a finite number of steps, and be feasible with available resources. Pseudocode is a notation for writing algorithms in a human-friendly way without ambiguity. The document provides conventions for writing pseudocode, such as using line numbers, proper indentation, assignment operators, array indexing, and flow control statements like if/else and for/while loops. It includes an example pseudocode for insertion sort following these conventions.
An algorithm is a tool for solving any computational problem. It may be defined as a sequence of finite,
precise and unambiguous instructions which are applied either to perform a computation or to solve a
computational problem. These instructions are applied on some raw data called the input, and the
solution of the problem produced is called the output.
The document discusses Python's four main collection data types: lists, tuples, sets, and dictionaries. It provides details on lists, including that they are ordered and changeable collections that allow duplicate members. Lists can be indexed, sliced, modified using methods like append() and insert(), and have various built-in functions that can be used on them. Examples are provided to demonstrate list indexing, slicing, changing elements, adding elements, removing elements, and built-in list methods.
This document discusses connecting Python to databases. It outlines 4 steps: 1) importing database modules, 2) establishing a connection, 3) creating a cursor object, and 4) executing SQL queries. It provides code examples for connecting to MySQL and PostgreSQL databases, creating a cursor, and fetching data using methods like fetchall(), fetchmany(), and fetchone(). The document is an introduction to connecting Python applications to various database servers.
The document discusses different types of early computer processing methods. Serial processing required users to restart the entire setup sequence if an error occurred, wasting significant time. To improve efficiency, simple batch processing was developed where multiple jobs were submitted in batches to maximize processor utilization and reduce wasted time from scheduling and setup between individual jobs. This represented an early form of multiprogramming to better use the expensive computer resources.
Presentation on C++ Programming Languagesatvirsandhu9
This document provides an overview of the C++ programming language. It discusses why C++ is used, how it compares to Fortran, and the basic structure and components of a C++ program. The key topics covered include data types, variables, operators, selection statements, iteration statements, functions, arrays, pointers, input/output, preprocessor instructions, and comments. The document is intended to teach the basics of C++ programming in a structured way over multiple sections.
The document discusses algorithms and algorithmic notations. It defines an algorithm as a finite step-by-step procedure to achieve a required result. It then covers common programming notations for algorithms like for loops, if/else statements, and defining functions. It also discusses specification notations for describing concurrent processes and atomic transactions between different states.
The document discusses divide and conquer algorithms and merge sort. It provides details on how merge sort works including: (1) Divide the input array into halves recursively until single element subarrays, (2) Sort the subarrays using merge sort recursively, (3) Merge the sorted subarrays back together. The overall running time of merge sort is analyzed to be θ(nlogn) as each level of recursion contributes θ(n) work and there are logn levels of recursion.
The document discusses files in Python. It defines a file as an object that stores data, information, settings or commands used with a computer program. There are two main types of files - text files which store data as strings, and binary files which store data as bytes. The document outlines how to open, read, write, append, close and manipulate files in Python using functions like open(), read(), write(), close() etc. It also discusses pickling and unpickling objects to binary files for serialization. Finally, it covers working with directories and running other programs from Python.
MS-DOS was one of the most successful operating systems and was the first widely used operating system for IBM PCs and clones. It originated as QDOS, an operating system written in six weeks for the Intel 8086 CPU. Microsoft acquired QDOS and renamed it MS-DOS, which it licensed to IBM for use on the original IBM PC. MS-DOS went on to fuel Microsoft's growth as the dominant software company. While feature-limited compared to UNIX, MS-DOS remained popular for years until the rise of graphical user interfaces led to its replacement by Windows 95.
This document provides an overview of basic computer architecture. It discusses the history of computers, components like the CPU, motherboard, and connections between parts. The document outlines CPU architecture including the fetch-decode-execute cycle and components like the ALU, control unit, and registers. It also describes memory, addressing, cache, and different memory types like RAM, ROM, and CMOS.
The document discusses different types of computer system organizations based on the number of general-purpose processors used: single-processor systems which use one main CPU, multiprocessor/multicore systems which contain two or more closely communicating processors, and clustered systems which gather multiple complete computer systems together. Single-processor systems may contain additional special-purpose processors like disk or keyboard controllers. Multiprocessor systems can be symmetric, with all processors performing all tasks, or asymmetric with dedicated tasks. Clustered systems provide high-availability and parallel processing across nodes.
Basics of Object Oriented Programming in PythonSujith Kumar
The document discusses key concepts of object-oriented programming (OOP) including classes, objects, methods, encapsulation, inheritance, and polymorphism. It provides examples of classes in Python and explains OOP principles like defining classes with the class keyword, using self to reference object attributes and methods, and inheriting from base classes. The document also describes operator overloading in Python to allow operators to have different meanings based on the object types.
An instruction format specifies an operation code and operands. There are three main types of instruction formats: three address instructions specify memory addresses for two operands and one destination; two address instructions specify two memory locations or registers with the destination assumed to be the first operand; and one address instructions use a single accumulator register for all data manipulation. Addressing modes further specify how the address field of an instruction is interpreted to determine the effective address of an operand. Common addressing modes include immediate, register, register indirect, auto-increment/decrement, direct, indirect, relative, indexed, and base register addressing.
Program design and problem solving techniquesDokka Srinivasu
The document provides an overview of program design and problem-solving techniques. It discusses the following key points in 3 or fewer sentences:
The document outlines the steps in program development including defining the problem, outlining the solution, developing an algorithm, testing the algorithm, coding the algorithm, running the program, and documenting the program. It also discusses algorithmic problem solving, writing pseudocode, meaningful naming conventions, the structure theorem of sequence, selection, and repetition, and communication between modules including variable scope, global vs local variables, and passing parameters.
On this presentation contains some insight from google design sprint. Try to do some design sprint for your projects or products, it's cool really. You can share this presentation to anyone you like.
This slide was presented in Google Business Group Meet up at Dicoding Space, Bandung.
Introduction to Problem Solving Techniques- PythonPriyankaC44
This document provides an introduction to problem solving techniques and programming languages. It discusses algorithms, flowcharts, pseudocode, and program control structures. It then covers the four generations of programming languages:
1) First generation languages used machine code and assembly languages.
2) Second generation languages included compiled languages like FORTRAN and COBOL.
3) Third generation languages improved on previous generations with features like data abstraction and modular programming.
4) Fourth generation and beyond focused on visual and non-procedural languages.
Pseudocode is a design tool that is more reflective of structured programming concepts than flowcharts. It uses keywords, indentation, and one statement per line to describe the logic of a program. Some common pseudocode keywords include READ, WRITE, IF, ELSE, ENDIF, WHILE, ENDWHILE. Pseudocode avoids some of the issues that flowcharts have with separating selection and looping structures. Overall, pseudocode provides a way to design programs using natural language statements rather than visual representations.
This presentation discusses system calls and provides an overview of their key aspects:
System calls provide an interface between processes and the operating system. They allow programs to request services from the OS like reading/writing files. There are different methods of passing parameters to the OS, such as via registers, parameter blocks, or pushing to the stack. System calls fall into categories including process control, file management, device management, information maintenance, and communication. An example is given of how system calls would be used in a program to copy data between two files.
C was developed by Dennis Ritchie while C++ was developed by Bjarne Stroustrup as an extension of C. C supports structured programming while C++ supports both structured and object-oriented programming. C++ adds object-oriented features like data encapsulation, inheritance, and polymorphism to C and is a superset of C.
The document discusses different types of structures used in pseudocode: sequence, selection, and iteration. It provides examples of each, including a program to make a cup of tea that uses all three structures. Selection is demonstrated using an if/else statement to choose whether to add sugar. Iteration is shown with a while loop to repeatedly fill a kettle until full. The document also provides examples of algorithms written in pseudocode, such as checking if a number is prime.
The document discusses algorithms and pseudocode conventions. It defines an algorithm as a step-by-step procedure to solve a problem and get the desired output. Some key characteristics of algorithms are that they must be unambiguous, have well-defined inputs and outputs, terminate after a finite number of steps, and be feasible with available resources. Pseudocode is a notation for writing algorithms in a human-friendly way without ambiguity. The document provides conventions for writing pseudocode, such as using line numbers, proper indentation, assignment operators, array indexing, and flow control statements like if/else and for/while loops. It includes an example pseudocode for insertion sort following these conventions.
An algorithm is a tool for solving any computational problem. It may be defined as a sequence of finite,
precise and unambiguous instructions which are applied either to perform a computation or to solve a
computational problem. These instructions are applied on some raw data called the input, and the
solution of the problem produced is called the output.
The document discusses Python's four main collection data types: lists, tuples, sets, and dictionaries. It provides details on lists, including that they are ordered and changeable collections that allow duplicate members. Lists can be indexed, sliced, modified using methods like append() and insert(), and have various built-in functions that can be used on them. Examples are provided to demonstrate list indexing, slicing, changing elements, adding elements, removing elements, and built-in list methods.
This document discusses connecting Python to databases. It outlines 4 steps: 1) importing database modules, 2) establishing a connection, 3) creating a cursor object, and 4) executing SQL queries. It provides code examples for connecting to MySQL and PostgreSQL databases, creating a cursor, and fetching data using methods like fetchall(), fetchmany(), and fetchone(). The document is an introduction to connecting Python applications to various database servers.
The document discusses different types of early computer processing methods. Serial processing required users to restart the entire setup sequence if an error occurred, wasting significant time. To improve efficiency, simple batch processing was developed where multiple jobs were submitted in batches to maximize processor utilization and reduce wasted time from scheduling and setup between individual jobs. This represented an early form of multiprogramming to better use the expensive computer resources.
Presentation on C++ Programming Languagesatvirsandhu9
This document provides an overview of the C++ programming language. It discusses why C++ is used, how it compares to Fortran, and the basic structure and components of a C++ program. The key topics covered include data types, variables, operators, selection statements, iteration statements, functions, arrays, pointers, input/output, preprocessor instructions, and comments. The document is intended to teach the basics of C++ programming in a structured way over multiple sections.
The document discusses algorithms and algorithmic notations. It defines an algorithm as a finite step-by-step procedure to achieve a required result. It then covers common programming notations for algorithms like for loops, if/else statements, and defining functions. It also discusses specification notations for describing concurrent processes and atomic transactions between different states.
The document discusses divide and conquer algorithms and merge sort. It provides details on how merge sort works including: (1) Divide the input array into halves recursively until single element subarrays, (2) Sort the subarrays using merge sort recursively, (3) Merge the sorted subarrays back together. The overall running time of merge sort is analyzed to be θ(nlogn) as each level of recursion contributes θ(n) work and there are logn levels of recursion.
The document discusses files in Python. It defines a file as an object that stores data, information, settings or commands used with a computer program. There are two main types of files - text files which store data as strings, and binary files which store data as bytes. The document outlines how to open, read, write, append, close and manipulate files in Python using functions like open(), read(), write(), close() etc. It also discusses pickling and unpickling objects to binary files for serialization. Finally, it covers working with directories and running other programs from Python.
MS-DOS was one of the most successful operating systems and was the first widely used operating system for IBM PCs and clones. It originated as QDOS, an operating system written in six weeks for the Intel 8086 CPU. Microsoft acquired QDOS and renamed it MS-DOS, which it licensed to IBM for use on the original IBM PC. MS-DOS went on to fuel Microsoft's growth as the dominant software company. While feature-limited compared to UNIX, MS-DOS remained popular for years until the rise of graphical user interfaces led to its replacement by Windows 95.
This document provides an overview of basic computer architecture. It discusses the history of computers, components like the CPU, motherboard, and connections between parts. The document outlines CPU architecture including the fetch-decode-execute cycle and components like the ALU, control unit, and registers. It also describes memory, addressing, cache, and different memory types like RAM, ROM, and CMOS.
The document discusses different types of computer system organizations based on the number of general-purpose processors used: single-processor systems which use one main CPU, multiprocessor/multicore systems which contain two or more closely communicating processors, and clustered systems which gather multiple complete computer systems together. Single-processor systems may contain additional special-purpose processors like disk or keyboard controllers. Multiprocessor systems can be symmetric, with all processors performing all tasks, or asymmetric with dedicated tasks. Clustered systems provide high-availability and parallel processing across nodes.
Basics of Object Oriented Programming in PythonSujith Kumar
The document discusses key concepts of object-oriented programming (OOP) including classes, objects, methods, encapsulation, inheritance, and polymorphism. It provides examples of classes in Python and explains OOP principles like defining classes with the class keyword, using self to reference object attributes and methods, and inheriting from base classes. The document also describes operator overloading in Python to allow operators to have different meanings based on the object types.
An instruction format specifies an operation code and operands. There are three main types of instruction formats: three address instructions specify memory addresses for two operands and one destination; two address instructions specify two memory locations or registers with the destination assumed to be the first operand; and one address instructions use a single accumulator register for all data manipulation. Addressing modes further specify how the address field of an instruction is interpreted to determine the effective address of an operand. Common addressing modes include immediate, register, register indirect, auto-increment/decrement, direct, indirect, relative, indexed, and base register addressing.
Program design and problem solving techniquesDokka Srinivasu
The document provides an overview of program design and problem-solving techniques. It discusses the following key points in 3 or fewer sentences:
The document outlines the steps in program development including defining the problem, outlining the solution, developing an algorithm, testing the algorithm, coding the algorithm, running the program, and documenting the program. It also discusses algorithmic problem solving, writing pseudocode, meaningful naming conventions, the structure theorem of sequence, selection, and repetition, and communication between modules including variable scope, global vs local variables, and passing parameters.
On this presentation contains some insight from google design sprint. Try to do some design sprint for your projects or products, it's cool really. You can share this presentation to anyone you like.
This slide was presented in Google Business Group Meet up at Dicoding Space, Bandung.
Problem definition and research design workshopAntónio Moniz
- TA organizations receive requests from policymakers to examine issues related to science and technology [DOCUMENT]
- Requests are examined and prioritized, with the goal of informing policy debates and decisions [DOCUMENT, CASE 1 POST, CASE 3 TAB]
- Approved projects involve designing a research process to define and study the problem, identifying stakeholders, impacts, and options [CASE 2 NSF, DOCUMENT]
- Results are presented to parliamentary committees and other decision-making bodies to aid their deliberations [CASE 3 TAB, CASE 5 DBT]
Problem Solving Techniques For Evolutionary DesignNaresh Jain
In this workshop, Naresh Jain explains what are the core techniques one should master to effectively practice evolutionary design while solving real world problems. To summarize:
1. Eliminate Noise - Distill down the crux of the problem
2. Add constraints to future simplify the problem
3. Focus on one scenario at a time & incrementally build your solution
4. Refactor: Pause, look for a much simpler alternative
5. Be ready to throw away your solution & start again
The document provides information on defining a research problem, including:
- Conducting a background survey to justify the choice of research area and need for the study.
- Narrowing the broad problem area to specific issues by starting with broad questions and focusing to operationalize the study.
- Defining the problem as an issue to understand, an existing problem to solve, or an area needing conceptual clarity.
- Formulating a clear, precise problem statement that introduces the importance and significance of the study.
Experiment (XP) Gameboard: How Great Organizations Rapidly Solve Problems, Le...Rod King, Ph.D.
This presentation features the Experiment or "XP" Gameboard, the function of which is to help organizations rapidly solve problems, learn, and get (risky) projects done. Two formats of the XP gameboard are presented: circular and tabular formats.
The XP Gameboard is shown to be a visual platform that seamlessly integrates several tool for solving problems as well as documenting, organizing, managing, and planning projects. Use of the XP Gameboard is demonstrated with examples of projects in Sierra Leone as well as the USA.
OGDC2013_Game design problem solving_Mr Nguyen Chi Hieuogdc
The document discusses game design and provides advice from various sources. It outlines different game concepts including a card battle game, tower defense game, and a combined tower defense and card battle game called "Galaxy Pirates". The document emphasizes passion for game design, user-centric thinking, teamwork, iteration, and balancing logic and intuition. It also provides examples of game mechanics, gameplay loops, and monetization examples for the Galaxy Pirates concept.
Empathy Map and Problem Statement for Design Thinking Action LabFelipe Lima
L.F.B.S. is a 22-year old psychology student in her 9th period of study who is passionate about psychology but anxious about her career prospects after graduation. She has gained research and internship experience but remains unsure of where she will work after graduating or whether she will need further education. She wants to help people through her work but worries that the job market demands experienced professionals and she will only have an internship. Her problem is that she needs a way to feel more confident in her career choices and less anxious about her future.
The document discusses design thinking as a strategy for problem solving and innovation. Design thinking is a human-centered approach to innovation that draws from the needs of people to create new solutions. It emphasizes empathy, creativity, and rationality in developing ideas. The design thinking process involves defining problems from a human perspective, ideating many potential solutions, and rapidly prototyping and testing ideas. Tips for applying design thinking include using multidisciplinary teams, dedicating space and timeframes to projects, and maintaining optimism, experimentation, and collaboration.
The document discusses textile design approaches in Ghana. It finds that local textile designers in Ghana take a direct, informal approach focused on aesthetics, making them designers rather than problem solvers. This is due to training methods that emphasize ideals over practical skills. The document recommends adopting a formal, systematic approach like the Universal Design Model to analyze needs, generate concepts, prototype, test, and market designs. This would help Ghanaian textile designers develop problem-solving skills to better meet 21st century consumer demands.
Problem solving and_critical_thinking_eltecsJamie Hoang
This document discusses the importance of teaching critical thinking and problem solving skills in English language teaching. It outlines the key elements of critical thinking such as observation, facts, inferences, assumptions, opinions, arguments, and critical analysis. It also discusses Bloom's taxonomy of thinking skills. The document notes several benefits of critical thinking skills for students and challenges that teachers may face in teaching these skills. It provides examples of how to develop critical thinking through questioning, analogies, interaction, reflection and real-life problems. Finally, it outlines the steps to problem solving and discusses teachers' roles in developing these important skills in students.
Design Thinking & Lean Product Development •How to Identify a Real Problem Th...PHX Startup Week
The document discusses using design thinking and lean product development methods to identify real problems worth solving. It explains using the "Five Whys" technique to drill down through a perceived problem to its root cause by repeatedly asking "Why?" about the problem. Through this process of asking "Why?" five times about the perceived problem of having too much stress, the real problem is identified as needing to become more self-aware in order to calm one's mind and reduce stress.
HISTORY OF ARCHITECTURE EDUCATION: POTENTIALS AND LIMITATIONS FOR A BETTER DE...Iman Gawad
Lately, the study of 'History of architecture' courses has lost its vitality and importance, and has become far too ignored from the current architectural design debates. Students in different schools of architecture, especially in architectural institutions with limited resources, are expected to associate History and Theory subjects with Design challenges. This does not always happen dependably and if it does, it is not attributed to educational studies and methodical teaching practices. Therefore, the process of teaching History of architecture, with the need of reinstating its relevance to solving design problems, must actively re-adjust its focus to give students opportunities to analyze more rather than learn by heart the history of the world architecture. The questions are: “How can history of architecture's courses respond to this challenge?” and “How can history teachers apply new teaching strategies to relate more to the design courses and projects?” With answers to these questions and guidance into these arguments, university educators can help students make sense of studying different courses of the history of architecture as well as benefiting from lessons of the past in their current design projects.
The research begins with reference to successful teaching pedagogies and education in history of architecture courses and continues with the author’s personal teaching experiences in different history of architecture courses in several national and private universities in Egypt. The author proposes a number of re-visualisation of different exercises and assignments adopted in history classes with the aim of translating them into ones that account for students being able to tackle their own design studio problems and use history as a tool to find answers to questions that emanate from their own design experiences.
This document discusses the basics of communication skills. It defines communication as the process of exchanging information through messages, symbols, thoughts, signs, and opinions. Communication can occur through speech, sign language, body language, touch, and eye contact. Both verbal and non-verbal communication are discussed. Verbal communication includes oral communication through sounds and written communication using written words. Non-verbal communication conveys messages without words through gestures, facial expressions, sign language, music, dancing, and visual aids. Effective communication uses a mix of abstract concepts and concrete words that can be clearly understood. Developing communication skills involves practicing different forms of communication and receiving feedback.
Critical Thinking, Problem Solving, Decision Makingguestd388be
The document compares and contrasts learning standards around critical thinking, problem solving, and decision making. It outlines standards from a memo focusing on selecting appropriate technology and using resources responsibly. NETS standards are more specific, requiring students to define problems, plan solutions, analyze data, and consider diverse perspectives to explore alternatives. Suggestions are made for standards involving using digital tools for real-world tasks, employing simulations to practice critical thinking, configuring technology systems, analyzing technology capabilities, and designing accessible websites.
Thinking Tools allows children to develop higher order thinking skills like creative thinking and problem solving skills. At Miyav Learning, We published a series of activity books based on the Thinking Tools- creative frame work developed by a scientist.
Design Theory - Lecture 02: Design processes & Problem solvingBas Leurs
This document provides an overview of design processes and problem solving. It discusses various models of design processes, including linear and iterative processes. It also examines the nature of design problems and how designers approach problem solving. The document highlights that design problems often have no single clear solution and require intuition and experimentation to develop potential concepts and solutions.
Problem definition /identification in ResearchShameem Ali
This document outlines the key steps in properly defining a marketing research problem which includes identifying background issues, defining the management problem, determining the research question, estimating the value of information, isolating the problems from symptoms, determining the appropriate unit of analysis, and identifying relevant variables. Proper problem definition is critical as it guides the entire research process and ensures the research answers the right questions to aid decision making.
The document discusses algorithms and flowcharts for solving problems. It defines an algorithm as a set of sequential steps to solve a problem and notes that there are various techniques for specifying algorithms, including formally, informally, mathematically, or through graphical flowcharts. The document provides examples of algorithms to solve common problems and explains the properties and steps involved in algorithm development. It also describes flowcharts as a visual representation of an algorithm using standard symbols like ovals, rectangles, and diamonds to indicate starts/stops, processes, and decisions.
Chapter 8Exercise1.Design an application that accept.docxtiffanyd4
Chapter 8
Exercise
1.
Design an application that accepts 10 numbers and displays them in descending order.
4. The village of Ringwood conducted a census and created records that contain household data, including income. Ringwood has exactly 75 households. Write a program into which a village statistician can enter each of the 75 household income values, and determine the mean and median house-hold income.
13. Your student disk contains fi les named DEBUG08- 01. txt, DEBUG08- 02. txt, and DEBUG08- 03. txt. Each fi le starts with some comments that describe the problem. Comments are lines that begin with two slashes (//). Following the comments, each fi le contains pseudocode that has one or more bugs you must fi nd and correct.
08-01
// This application reads 10 numbers
// and sorts them, and displays the three highest numbers
start
Declarations
num SIZE = 10
num number
num numbers[SIZE]
num count
getReady()
while count < SIZE
detailLoop()
endwhile
finish()
stop
getReady()
output "Enter a number "
input number
return
detailLoop()
numbers[SIZE] = number
count = count + 1
output "Enter a number "
input number
return
finish()
sort()
output "The highest three are ", numbers[0], numbers[0], numbers[0]
return
sort()
num x = 0
num y = 0
num COMPS = count - 1
while y < COMPS
x = 0
while x < COMPS
if numbers[x] < numbers[x + 1] then
swap()
endif
x = x + 1
endwhile
y = y + 1
endwhile
return
swap()
num temp
temp = numbers[x + 1]
numbers[x + 1] = numbers[x]
numbers[x] = temp
return
08-02
// This application reads student typing test data
// including number of errors on the test, and the number
// of words typed per minute. Grades are assigned based
// on the following table:
//
Errors
// Speed
0
1
2 or more
// 0–30
C
D
F
// 31–50
C
C
F
// 51–80
B
C
D
// 81–100
A
B
C
// 101 and up
A
A
B
start
Declarations
num MAX_ERRORS = 2
num errors
num wordsPerMinute
num grades[5][3] = {"C", "D", "F"},
{"C", "C", "F"},
{"B", "C", "D"},
{"A", "B", "C"},
{"A", "A", "B"}
num LIMITS = 5
num speedLimits[LIMITS] = 0, 31, 51, 81, 101
num row
output "Enter number of errors on the test "
input errors
if errors = MAX_ERRORS then
errors > MAX_ERRORS
endif
output "Enter the speed in words per minute "
input wordsPerMinute
while row < LIMITS AND wordsPerMinute >= speedLimits[row]
row = row + 1
endwhile
row = row - 1
output "Your grade is ", grades[errors][row]
stop
08-03
This application reads sales data for an automobile dealership.
// Up to 100 sale amounts can be entered. The entered sale amounts
// are sorted so the median sale can be displayed.
start
Declarations
num SIZE = 100
num QUIT = 99999
num saleAmount
num sales[SIZE]
num count = 0
num middlePosition
num x
num y
num temp
num comps
getReady()
while saleAmount count < SIZE
detailLoop()
endwhile
finish()
stop
getReady()
output "Enter sale amount "
input saleAmount
return
detailLoop()
sales[x] = saleAmount
co.
This document provides an overview of problem solving basics and sequential solutions for computer programming problems. It discusses decomposing problems by identifying inputs, outputs, verbs, and linking them. It also covers representing solutions as flowcharts and pseudocode. An example of calculating box volume is used to demonstrate the three-step process of decomposition, flowcharting, and writing pseudocode. The document also introduces selection-based solutions using logical decisions and conditional statements.
Euclid's algorithm is a method for finding the greatest common divisor (GCD) of two numbers. It works by taking the remainder of dividing the larger number by the smaller number at each step, and repeating this process until the remainder is zero. The last non-zero remainder is the GCD. The key steps are: (1) Take the remainder of dividing the two input numbers; (2) Set the smaller number equal to the remainder, and repeat from step 1 until the remainder is zero.
OverviewThis hands-on lab allows you to follow and experiment w.docxgerardkortney
Overview:
This hands-on lab allows you to follow and experiment with the critical steps of developing a program including the program description, Analysis, , Design(program design, pseudocode), Test Plan, and implementation with C code. The example provided uses sequential, repetition statements and nested repetition statements.
Program Description:
This program will calculate the average of 10 positive integers. The program will ask the user to 10 integers. If any of the values entered is negative, a message will be displayed asking the user to enter a value greater than 0. The program will use a loop to input the data.
Analysis:
I will use sequential, selection and repetition programming statements.
The program will loop for 10 positive numbers, prompting the user to enter a number.
I will define three integer variables: count, value and sum. count will store how many times values greater than 0 are entered. value will store the input. Sum will store the sum of all 10 integers.
I will define one double number: avg. avg will store the average of the ten positive integers input.
The sum will be calculated by this formula: sum = sum + value For example, if the first value entered was 4 and second was 10: sum = sum + value = 0 + 4
sum = 4 + 10 = 14
Values and sum can be input and calculated within a repetition loop: while count <10
Input value
sum = sum + value End while
Avg can be calculated by: avg = value/count
A selection statement can be used inside the loop to make sure the input value is positive.
If value >= 0 then count = count + 1 sum = sum + value
Else
input value End If
(
7
)
Program Design:
Main
// This program will calculate the average of 10 integer numbers
// Declare variables
// Initialize variables
// Loop through 10 numbers
// Prompt for positive integer
// Get input
// test input value for gt 0 if (value > 0)
//Increment counter
//Accumulate sum Else
// display msg to enter a positive integer
// Prompt for positive integer
// Get input Endif
// End loop
//Calculate average
//Print the results (average)
End
Test Plan:
To verify this program is working properly the input values could be used for testing:
Test Case
Input
Expected Output
1
1 1 1 0 1
2 0 1 3 2
Average = 1.2
2
100 100 100 100 -100
Input a positive value
100 200 -200 200 200
Input a positive value
200 200
average is 120.0
NOTE: test #2 has 12 input numbers because there are two negative numbers.
Pseudocode: Main
// This program will calculate the average of 10 positive integers.
// Declare variables
Declare count, value, sum as Integer Declare avg as double
//Initialize values
Set count=0 Set sum = 0 Set avg = 0.0;
// Loop through 10 integers While count < 10
Input value
If (value >=0)
sum = sum + value count=count+1
Else
Pr *** Value must be positive *** Input value
End if End While
// Calculate average avg = sum/count
// Print results
End //End of Main
C Code
The following is the C Code that will compile in execute in the online.
This document lists 100 C programming problems/exercises ranging from basic to more advanced concepts. The problems cover topics such as printing text, reading input, arithmetic operations, conditional statements, loops, functions, arrays, strings, structures, pointers, files and more. Sample code is provided for each problem to demonstrate how it can be solved in C.
This document lists 100 C programming problems covering a wide range of concepts including input/output, arithmetic operations, conditional statements, loops, functions, arrays, strings, pointers, structures, and file handling. The problems include basic programs to print text, calculate sums, check even/odd numbers, and find largest of three numbers. More complex problems involve multi-dimensional arrays, strings, structures, sorting, file operations, and mathematical concepts like Fibonacci series and factorials.
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.
1. The document lists 30 programming problems commonly asked during interviews for C programming jobs. The problems cover a range of concepts like recursion, data structures, algorithms, and string manipulation.
2. Example problems include writing programs to find the factorial of a number, check if a number is prime, swap two numbers without a temporary variable, find the greatest among three numbers, and check if a number is a palindrome.
3. Many problems ask the candidate to solve the problem in unique ways, like printing text without using semicolons or specific functions. This tests their creativity and problem-solving abilities in C.
Problem solving techniques in c languageJohn Bruslin
This document discusses the structure and basic components of a C programming language program. It covers key topics such as character sets, data types, expressions, assignment statements, conditional statements, looping statements, and nested looping statements. The document provides introductory information on developing algorithms and flowcharts to solve problems, and using pseudo code to represent algorithms in an abstract way without strict syntax. Overall, the document serves as an introduction to problem solving techniques and the basic building blocks for writing C programs.
This document discusses algorithms, flowcharts, pseudocode, and decision structures. It begins by defining algorithms and their purpose in problem solving. It then explains flowchart symbols and how to represent algorithms visually using flowcharts. Several examples are provided of writing pseudocode, detailed algorithms, and corresponding flowcharts to solve problems. The document also covers decision structures like if-then-else statements and relational operators. It provides examples of algorithms using nested if statements. Finally, it presents an example of determining an employee bonus based on overtime worked and absences.
The document discusses various topics related to algorithms including introduction to algorithms, algorithm design, complexity analysis, asymptotic notations, and data structures. It provides definitions and examples of algorithms, their properties and categories. It also covers algorithm design methods and approaches. Complexity analysis covers time and space complexity. Asymptotic notations like Big-O, Omega, and Theta notations are introduced to analyze algorithms. Examples are provided to find the upper and lower bounds of algorithms.
Important C program of Balagurusamy BookAbir Hossain
This document contains summaries of multiple programming labs involving different programming concepts like functions, arrays, strings, conditionals, loops, etc. The labs cover basics like printing an address, calculating expressions, finding roots of equations, computing trigonometric functions; conditionals like determining if a number is even/odd, larger/smaller; functions including calculating factorial, power series, fibonacci series; arrays for storing student marks, vote counting; strings for manipulation and analysis.
Here are the algorithms in pseudocode:
1. Find largest number of unknown set:
- Read first number and assign to largest
- Read next number
- If number is greater than largest, assign it to largest
- Repeat step 2 until no more numbers
- Output largest
2. Find average of numbers:
- Read number of elements n
- Initialize sum = 0
- Initialize i = 0
- Repeat while i < n
- Read element at array[i]
- Add element to sum
- Increment i
- Calculate average = sum / n
- Output average
Here are the algorithms in pseudocode:
1. Find largest number of unknown set:
- Read first number and assign to largest
- Read next number
- If number is greater than largest, assign it to largest
- Repeat step 2 until no more numbers
- Output largest
2. Find average of numbers:
- Read number of elements n
- Initialize sum = 0
- Initialize i = 0
- Repeat while i < n
- Read element at array[i]
- Add element to sum
- Increment i
- Calculate average = sum / n
- Output average
Problem solving using computers - Unit 1 - Study materialTo Sum It Up
Problem solving using computers involves transforming a problem description into a solution using problem-solving strategies, techniques, and tools. Programming is a problem-solving activity where instructions are written for a computer to solve something. The document then discusses the steps in problem solving like definition, analysis, approach, coding, testing etc. It provides examples of algorithms, flowcharts, pseudocode and discusses concepts like top-down design, time complexity, space complexity and ways to swap variables and count values.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
2. STAGES OF PROGRAM DEVELOPMENT
PROBLEM DEFINITION
ANALYSIS
DESIGN A SOLUTION USING AN ALGORITHM
WRITE A COMPUTER PROGRAM
TEST AND DEBUG THE PROGRAM
DOCUMENT THE PROGRAM
Problem-
Solving
Phase
Implementation
Phase
3. PROBLEM SOLVING PHASE:
STEP 1: Define the problem
STEP 2: Find the solution to the problem
STEP 3: Evaluate alternative solutions
STEP 4: Represent the most efficient solution as an
algorithm
STEP 5: Test the algorithm for correctness
4. STAGE 1: DEFINING THE PROBLEM
Stating what the problem is and what the end result should
be.
A problem should be decomposed into 3 key components:
1. INPUT
2. PROCESS
3. OUTPUT
6. Example:
Write a program that enters a student name and date
of birth and calculate the child’s age and write the
name and age of the child.
7. PROBLEM DEFINITION:
Required to find the age of a child
DEFINING DIAGRAM
INPUT PROCESS OUTPUT
1. Student Name Calculate the child’s age 1. Student Name
2. Student DOB From the child’s DOB 2. Student Age
8. Questions
1. Write a program that is required to read three (3)
numbers, calculate and print their total.
2. Give three integers representing the age of three boys
respectively, write a program to find their average and also
determine the age of the oldest boy.
3. Write a program to enter the base and height of a triangle
and find and print the area.
4. Write a program to read the temperature in degrees Celsius
and convert it to degrees Celsius and Fahrenheit.
9. PROBLEM DEFINITIONS:
1. Required to find the Total of three numbers.
2. Required to find the average age of 3 boys and the
age of the oldest boy.
3. Required to find the Area of a triangle.
4. Required to find the Fahrenheit equivalent of a
temperature in degrees Celsius.
10. DEFINING DIAGRAM: QUES. 1
INPUT PROCESS OUTPUT
NUM1 GET NUM1, NUM2,
NUM3
TOTAL/SUM
NUM2 CALCULATE TOTAL
USING NUM1,
NUM2,NUM3
NUM3 DISPLAY TOTAL
11. QUES. 2
INPUT PROCESS OUTPUT
AGE1 1. Read AGE1, AGE2,
AGE3
1.AVERAGE AGE
AGE2 2. CALCULATE
AVERAGE AGE USING
AGE1, AGE2, AGE3.
2. AGE OF OLDEST BOY
AGE 3 3. FIND AGE OF OLDEST
BOY FROM AGE1, AGE2,
AGE3
4. DISPLAY AVERAGE,
AGE OF OLDEST BOY
12. QUES. 3
INPUT PROCESS OUTPUT
BASE READ BASE, HEIGHT AREA OF TRIANGLE
HEIGHT CALCULATE AREA
USING BASE AND
HEIGHT
DISPLAY AREA
14. ALGORITHMS
An algorithm is a series of steps to be followed to
perform a task.
An algorithm should be:
1. Precise
2. Unambiguous
3. Finite (i.e. terminate after a given number of steps)
4. Instructions must be in Logical order
15. Questions
1. Identify which of the options gives the steps in correct sequence:
(a) Get on the bus, get dressed for school, get off the bus at school
(b) Get dressed for school, get off the bus at school, get on the bus
(c) Get off the bus at school, get on the bus, get dressed for school
(d) Get dressed for school, get on the bus, get off the bus at school
2. Consider the following algorithms & identify which one accurately gives the area of a square:
(a) Get length and width
Area = length x width
(b) Get side measurement of square
Area = side x side
(c) Get area of square
Area =Area x 2
(d) Get side measurement of square
Area = side x 4
16. 3. Consider the following algorithm and choose the correct
step to make it complete:
Purchase some ice-cream and toppings
Get ice-cream scoop
Use scoop to place two scoops of ice-cream on cone
Cover with sprinkles
Add a cherry to the top
(a) Eat cake
(b) Go to the cinema
(c) Purchase cone
(d) Enjoy the movie
17. VARIABLES
A Variable is a location in memory where data of
different types are stored. When you declare a variable
the computer sets aside a location in memory to store
data.
num1 num2 sum
E.g. var num1, num2, sum: integer;
18. A variable can be given a value or a variable can be set
to a specific value.
E.g. num1:= 1
Or the user inputs the value for num1 (1, 2, 3, 5, 90, etc.)
19. A variable can hold ONLY one value at a time. If a new
value is entered, the old one is lost.
e.g.
5 is currently being stored in the
num1 memory location with the label,
num1 (variable). If you enter a new
value, say 15 for the variable num1,
the value 5 is replaced by the value
num1 15.
5
15
20. 1)Write a program that is required to read three (3)
numbers, calculate and print their total.
2)Write a program to enter girls’ heights. Calculate the
average height of the girls.
• Underline the variables in your program!
3)Identify all the variables in the program AreaOfSquare.
21. 1. Write an algorithm to find the sum of two numbers
and display the sum.
2. Write an algorithm to enter the name of an item, Cost
Price of an item, the number of items purchased;
calculate the Total Cost of items and display the
name of the item and total cost of the items.
3. Write an algorithm to enter a student’s name, three
marks; calculate the average mark. Display the
student’s name and average mark.
22. Program AreaOfSquare;
var s, a: integer;
Begin
write(‘Enter length of side:’);
read (s); {store length in s}
a:= s*s; {calculate area; store in a}
writeln; {print a blank line}
writeln(‘Area of square is’, a);
End.
23. VARIABLE NAMES/Identifiers
The variable name can:
• Start with a letter or underscore
• Be a combination of letters, digits and underscore
• The length of the variable name cannot exceed 31
characters
• No spaces are allowed in the variable names
24. Exercise:
Identify the valid and invalid variable names:
R
_XYZ
Alpha;beta
Net Pay
Maxamt
Root1
2hottohandle
25. DATA TYPES
Integer
Real (floating point)
String
Boolean (data which can be true or false)
Character (data consisting of a single character)
26. Examples of data types:
Integer:- 3, -59, 0, 1987
Real:- 3.142, -5.0, 1.16
Boolean:- True or False
Character- ‘k’, ‘8’
String:- ‘Hi there’
27. ALGORITHMIC STRUCTURE
Header- Algorithm’s name or title
Declaration- A brief description of algorithm and
variables used.
Body- sequence of steps
Terminator- end statement
28. PSEUDOCODE
An outline of a program, written in a form that can
easily be converted into real programming statements.
30. SEQUENTIAL STRUCTURE
INPUT STATEMENTS. For example,
A. Get num1, num2
B. Read price
• OUTPUT STATEMENTS. For example,
A. Print Total_Cost
B. Display Average
• Statements with arithmetic operations:
A. Sum = num1 + num2
• Statements that assign values to variables:
A. Count = 0
B. Max = 20
32. REPETITION: LOOP
A. While (price <> 0) do
read price
total = total + price
End while
B. Repeat 10 times
Print “I am good looking”
End Repeat
33. FLOWCHARTS
Algorithms can also be expressed as flowcharts. A
flowchart is a pictorial representation of an algorithm.
A parallelogram- represents the input & output operation.
A rectangle- used to represent processing/assignment
statements.
A diamond- represents a decision (if-then-else).
An elliptical shape- represents terminal indicators.
Directional arrows- indicate the flow of logic in the
program.
41. ARRAYS
An array is a special variable where we reserve a series
of locations in memory to store data items of a certain
data type. These related data items are of the same
data type.
42. DECLARING AN ARRAY
Example:
var MARKS: Array[1..35] of integer;
Reserved
word
Variable
Name
Group of
35 Data type
MARKS is the name of the entire array. In order to access one data item the
subscript is used.
MARKS
1 2 3 4 5