Workshop on programming contest
•
3 likes•662 views
This document discusses competitive programming and provides tips for getting started. It defines competitive programming as solving well-defined problems by writing computer programs within time and memory limits. It outlines some merits like fun and practice, and demrits like potential addiction. Tips are provided such as learning a programming language, practicing on online judges, and learning data structures and algorithms. Finally, it lists some online and onsite programming contests as well as university courses relevant to competitive programming.
Report
Share
Report
Share
Download to read offline
Recommended
Competitive programming
Competitive programming involves writing programs to solve problems within a limited time period, typically ranging from hours to days, either individually or in teams. These contests test algorithm skills, basic math skills, programming skills, speed, creativity, and debugging abilities. Some prestigious contests include the ACM ICPC, Google Code Jam, TopCoder Open, and Facebook Hacker Cup. Competitive programming improves logical and analytical skills, looks good on a CV, and is fun, while also preparing participants for coding rounds during job interviews at many companies. Sites like Topcoder, SPOJ, Codeforces, Codechef, and Hackerrank allow programmers to practice for competitions.
Introduction to Competitive programming
This document introduces competitive programming competitions like ACM ICPC and Google Code Jam. It discusses training platforms such as Codeforces and Kattis that contain practice problems. It categorizes common problem types like ad hoc, complete search, divide and conquer, greedy, and dynamic programming to help determine a problem's difficulty and appropriate solving algorithm. Key problem types are defined, with ad hoc being the easiest and complete search involving brute force searching the entire search space.
Competitive Programming Guide
Competitive programming involves writing computer programs to solve problems according to provided specifications in a competition format. It tests algorithmic skills, programming skills, speed, creativity, debugging skills, and more. To get started, participants should understand complexity, choose a programming language, learn data structures, and brush up on basics like number theory. Problem properties include absolute correctness checks, background stories to hide the actual problem, and examples of input/output formats. Practice is important and can be done on various online judge systems like CodeChef and Hackerrank.
Competitive Programming
This document provides tips and strategies for practicing competitive programming to achieve goals like learning new algorithms and programming languages. It recommends practicing regularly both individually and in small teams on online judges. When practicing, choosing problems that provide feedback like explanations is important for learning. The document also provides sample practice schedules, lists competitive programming contests and websites to learn theory, and includes links to additional practice materials.
Session 3 : Competitive programming 1
The document provides an introduction to competitive programming, which involves solving algorithm and data structure problems quickly under time and memory constraints. It discusses what competitive programming tests, how to get started, problem properties, examples, where to practice, tips for practicing, reasons for doing competitive programming, drawbacks, prestigious contests, regular contests, and how KIIT students are performing. The high-level goal of competitive programming is improving programming and problem-solving skills through regular practice and competition. It is recognized by major tech companies and helps build useful everyday skills.
An introduction to Competitive Programming
A guide to the basic dynamics of Competitive Programming to help beginners get started with Competitive Coding.
Road map to competitive programming
What it teaches you?
It is a field where every coder showcases their problem-solving skills under various constraints that forces them to think creatively and efficiently.
Basic Problems and Solving Algorithms
This document outlines an introduction to competitive programming and problem solving algorithms. It discusses that competitive programming involves writing programs to solve well-known computer science problems quickly. To be successful requires coding quickly, identifying problem types, analyzing time complexity, and extensive practice. The document then covers four basic problem solving paradigms - complete search, divide and conquer, greedy algorithms, and dynamic programming. It provides details on complete search, including that it involves searching the entire solution space and is useful when no clever algorithm exists or the input size is small.
Recommended
Competitive programming
Competitive programming involves writing programs to solve problems within a limited time period, typically ranging from hours to days, either individually or in teams. These contests test algorithm skills, basic math skills, programming skills, speed, creativity, and debugging abilities. Some prestigious contests include the ACM ICPC, Google Code Jam, TopCoder Open, and Facebook Hacker Cup. Competitive programming improves logical and analytical skills, looks good on a CV, and is fun, while also preparing participants for coding rounds during job interviews at many companies. Sites like Topcoder, SPOJ, Codeforces, Codechef, and Hackerrank allow programmers to practice for competitions.
Introduction to Competitive programming
This document introduces competitive programming competitions like ACM ICPC and Google Code Jam. It discusses training platforms such as Codeforces and Kattis that contain practice problems. It categorizes common problem types like ad hoc, complete search, divide and conquer, greedy, and dynamic programming to help determine a problem's difficulty and appropriate solving algorithm. Key problem types are defined, with ad hoc being the easiest and complete search involving brute force searching the entire search space.
Competitive Programming Guide
Competitive programming involves writing computer programs to solve problems according to provided specifications in a competition format. It tests algorithmic skills, programming skills, speed, creativity, debugging skills, and more. To get started, participants should understand complexity, choose a programming language, learn data structures, and brush up on basics like number theory. Problem properties include absolute correctness checks, background stories to hide the actual problem, and examples of input/output formats. Practice is important and can be done on various online judge systems like CodeChef and Hackerrank.
Competitive Programming
This document provides tips and strategies for practicing competitive programming to achieve goals like learning new algorithms and programming languages. It recommends practicing regularly both individually and in small teams on online judges. When practicing, choosing problems that provide feedback like explanations is important for learning. The document also provides sample practice schedules, lists competitive programming contests and websites to learn theory, and includes links to additional practice materials.
Session 3 : Competitive programming 1
The document provides an introduction to competitive programming, which involves solving algorithm and data structure problems quickly under time and memory constraints. It discusses what competitive programming tests, how to get started, problem properties, examples, where to practice, tips for practicing, reasons for doing competitive programming, drawbacks, prestigious contests, regular contests, and how KIIT students are performing. The high-level goal of competitive programming is improving programming and problem-solving skills through regular practice and competition. It is recognized by major tech companies and helps build useful everyday skills.
An introduction to Competitive Programming
A guide to the basic dynamics of Competitive Programming to help beginners get started with Competitive Coding.
Road map to competitive programming
What it teaches you?
It is a field where every coder showcases their problem-solving skills under various constraints that forces them to think creatively and efficiently.
Basic Problems and Solving Algorithms
This document outlines an introduction to competitive programming and problem solving algorithms. It discusses that competitive programming involves writing programs to solve well-known computer science problems quickly. To be successful requires coding quickly, identifying problem types, analyzing time complexity, and extensive practice. The document then covers four basic problem solving paradigms - complete search, divide and conquer, greedy algorithms, and dynamic programming. It provides details on complete search, including that it involves searching the entire solution space and is useful when no clever algorithm exists or the input size is small.
Programming fundamentals lecture 1&2
The document discusses the process of writing a computer program. It explains that programming involves breaking a problem down into a logical sequence of steps. There are two main phases: the problem-solving phase where the problem is analyzed and an algorithm is developed, and the implementation phase where the algorithm is translated into a programming language and tested. The process also includes a maintenance phase to modify the program as needed over time.
Embedded os
The document provides an overview of embedded operating systems. It discusses two general approaches: adapting an existing commercial OS or building a purpose-built OS. It then describes the embedded OS eCos, including its configurability, components, hardware abstraction layer, kernel, I/O system, and scheduler. Finally, it discusses the purpose-built OS TinyOS, including its goals for high concurrency, limited resources, hardware evolution, diverse applications and platforms, and robustness. It describes TinyOS' use of components, tasks, commands, events, and its shared resource configuration.
software characteristics
software characteristics for Software engineering,All characteristics and details about software For bscs , bsit , mcs , bcs
Software engineering lectures
Daa unit 1
The document discusses algorithms and their analysis. It covers:
1) The definition of an algorithm and its key characteristics like being unambiguous, finite, and efficient.
2) The fundamental steps of algorithmic problem solving like understanding the problem, designing a solution, and analyzing efficiency.
3) Methods for specifying algorithms using pseudocode, flowcharts, or natural language.
4) Analyzing an algorithm's time and space efficiency using asymptotic analysis and orders of growth like best-case, worst-case, and average-case scenarios.
Fundamental Programming Lect 1
The document discusses computer programming fundamentals. It explains that computers are "dumb" machines that need step-by-step instructions to perform tasks, and that programming involves providing these instructions through computer programs. It describes how early programs had to be written in binary machine language, which was difficult for humans, leading to the development of assembly language and high-level languages that are easier for people to use. These higher-level languages are converted into machine-readable format through assemblers and compilers.
Programming Fundamental Presentation
This presentation for the introduction of Programming languages
i.e High level language, Middle level language and Low level Language.
Programming in scratch
This document provides an introduction to programming in Scratch. It explains what Scratch is, how to set up an account, and get started with a basic project. It then covers Scratch programming concepts like scripts, sprites, costumes, stages, blocks, and scripts. It includes examples of using repeat blocks to create loops and nested repeats. It encourages the reader to experiment with repeats and provides quizzes to check understanding. Finally, it discusses using Scratch for drawing shapes like squares, triangles, and pentagons with turns and repeats.
Computer Programming Overview
This document provides an overview of computer programming, including what programming is, why we program, popular programming paradigms and languages. It discusses that programming involves instructing a computer to carry out tasks and is a creative process. Popular paradigms include procedural, structured, functional and object-oriented programming. Popular languages discussed include C, C++, Java, C#, PHP and Python. The document provides recommendations for learning resources and approaches for learning to program.
Computer Languages
Computer languages can be categorized as either low-level or high-level. Low-level languages like machine language and assembly language provide little abstraction from computer hardware and use numeric codes that are directly understandable by computers. High-level languages allow problems to be solved using terminology more familiar to humans and are easier for programmers to use. Examples include C, C++, Java, and JavaScript. Operating systems act as an interface between application software, hardware, and users, performing functions like memory management, task scheduling, and file handling.
Programming skills
The document provides a history of computer programming from the 19th century to modern times. It discusses early programming languages and machines like the Analytical Engine, ENIAC, and EDVAC. It then outlines the evolution of programming languages through each decade from the 1950s to the 2000s. The document emphasizes that programming skills require constant learning and adapting to new technologies. Successful programmers of the future will need to integrate different technologies and understand business needs.
NP completeness
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
Np complete
This document discusses NP-complete problems and their properties. Some key points:
- NP-complete problems have an exponential upper bound on runtime but only a polynomial lower bound, making them appear intractable. However, their intractability cannot be proven.
- NP-complete problems are reducible to each other in polynomial time. Solving one would solve all NP-complete problems.
- NP refers to problems that can be verified in polynomial time. P refers to problems that can be solved in polynomial time.
- A problem is NP-complete if it is in NP and all other NP problems can be reduced to it in polynomial time. Proving a problem is NP-complete involves showing
What is Coding
Coding is new literacy and you shouldn't miss the chance to learn to code. Not only you but your children should learn to code. Learn more about coding in a fun and easy way with RoboGarden.
RoboGarden is an easy to understand, hands-on educational app where students take part in active learning. Fully equipped to teach coding literacy from scratch, RoboGarden reduces the need for a tech-savvy teacher.
For More info Please visit: www.robogarden.ca
Chapter 1 - An Introduction to Programming
The document is an introductory chapter about programming from a textbook on C++ programming. It defines key programming concepts and terms like programs, programmers, programming languages, algorithms, and control structures. It explains that programs are sets of instructions for computers, and that programmers use programming languages to communicate those instructions. Early programming languages included machine language using binary, and assembly language using mnemonics. Modern languages are high-level languages that are easier for humans to read and write. These can be procedural languages or object-oriented languages. The chapter describes the three basic control structures that all programs use - sequence, selection, and repetition. Sequence structures run code in order, selection structures make decisions using conditions, and repetition structures repeat code for
Fundamental Programming Lect 2
This document discusses problem solving using computers and programming. It explains that problem solving involves defining the problem by identifying the inputs, outputs, and processing required. It then discusses designing the solution by representing each step graphically. Examples are provided of representing problems like calculating a sum, average, and other mathematical operations. The document notes that computers are useful for problems involving extensive inputs/outputs, complicated solutions, or those that would take too long to solve manually.
Introduction to programming principles languages
Explain the basic computer and programming fundamentals with appropriate examples of language and technology.
Introduction to Embedded Systems
This Presentation will help anyone interested in the embedded systems field to get the basic concepts in this important field.
#نسالكم_الدعاء
Design Principles
The document discusses techniques for designing software architecture and making good design decisions. It provides principles for dividing a system into components, increasing cohesion and reducing coupling between components. The document emphasizes designing for qualities like flexibility, reusability, portability and testability. Priorities, objectives and cost-benefit analysis can be used to evaluate design alternatives. The architecture is the core of the design and should divide the system into subsystems and define their interactions and interfaces.
Cs2303 theory of computation all anna University question papers
Cs2303 theory of computation all anna University question papers fifth semester computer science and engineering
software development and programming languages
This document provides an introduction to software development and programming languages. It discusses what software is, different types of software including system software and application software. It also describes various software development process models, focusing on the waterfall model. The waterfall model consists of analysis, design, coding, and testing phases. Finally, it discusses some programming language concepts and mentions that compilers are important for programming languages.
Take Pride in Your Code - Test-Driven Development
TDD is one of the best practices a developer would pick throughout his professional career. In this slide-deck, we shed a light on enriching your code with the goodies of TDD.
Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is
2018 Women in Analytics Conference
https://www.womeninanalytics.org/
Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning.
More Related Content
What's hot
Programming fundamentals lecture 1&2
The document discusses the process of writing a computer program. It explains that programming involves breaking a problem down into a logical sequence of steps. There are two main phases: the problem-solving phase where the problem is analyzed and an algorithm is developed, and the implementation phase where the algorithm is translated into a programming language and tested. The process also includes a maintenance phase to modify the program as needed over time.
Embedded os
The document provides an overview of embedded operating systems. It discusses two general approaches: adapting an existing commercial OS or building a purpose-built OS. It then describes the embedded OS eCos, including its configurability, components, hardware abstraction layer, kernel, I/O system, and scheduler. Finally, it discusses the purpose-built OS TinyOS, including its goals for high concurrency, limited resources, hardware evolution, diverse applications and platforms, and robustness. It describes TinyOS' use of components, tasks, commands, events, and its shared resource configuration.
software characteristics
software characteristics for Software engineering,All characteristics and details about software For bscs , bsit , mcs , bcs
Software engineering lectures
Daa unit 1
The document discusses algorithms and their analysis. It covers:
1) The definition of an algorithm and its key characteristics like being unambiguous, finite, and efficient.
2) The fundamental steps of algorithmic problem solving like understanding the problem, designing a solution, and analyzing efficiency.
3) Methods for specifying algorithms using pseudocode, flowcharts, or natural language.
4) Analyzing an algorithm's time and space efficiency using asymptotic analysis and orders of growth like best-case, worst-case, and average-case scenarios.
Fundamental Programming Lect 1
The document discusses computer programming fundamentals. It explains that computers are "dumb" machines that need step-by-step instructions to perform tasks, and that programming involves providing these instructions through computer programs. It describes how early programs had to be written in binary machine language, which was difficult for humans, leading to the development of assembly language and high-level languages that are easier for people to use. These higher-level languages are converted into machine-readable format through assemblers and compilers.
Programming Fundamental Presentation
This presentation for the introduction of Programming languages
i.e High level language, Middle level language and Low level Language.
Programming in scratch
This document provides an introduction to programming in Scratch. It explains what Scratch is, how to set up an account, and get started with a basic project. It then covers Scratch programming concepts like scripts, sprites, costumes, stages, blocks, and scripts. It includes examples of using repeat blocks to create loops and nested repeats. It encourages the reader to experiment with repeats and provides quizzes to check understanding. Finally, it discusses using Scratch for drawing shapes like squares, triangles, and pentagons with turns and repeats.
Computer Programming Overview
This document provides an overview of computer programming, including what programming is, why we program, popular programming paradigms and languages. It discusses that programming involves instructing a computer to carry out tasks and is a creative process. Popular paradigms include procedural, structured, functional and object-oriented programming. Popular languages discussed include C, C++, Java, C#, PHP and Python. The document provides recommendations for learning resources and approaches for learning to program.
Computer Languages
Computer languages can be categorized as either low-level or high-level. Low-level languages like machine language and assembly language provide little abstraction from computer hardware and use numeric codes that are directly understandable by computers. High-level languages allow problems to be solved using terminology more familiar to humans and are easier for programmers to use. Examples include C, C++, Java, and JavaScript. Operating systems act as an interface between application software, hardware, and users, performing functions like memory management, task scheduling, and file handling.
Programming skills
The document provides a history of computer programming from the 19th century to modern times. It discusses early programming languages and machines like the Analytical Engine, ENIAC, and EDVAC. It then outlines the evolution of programming languages through each decade from the 1950s to the 2000s. The document emphasizes that programming skills require constant learning and adapting to new technologies. Successful programmers of the future will need to integrate different technologies and understand business needs.
NP completeness
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
Np complete
This document discusses NP-complete problems and their properties. Some key points:
- NP-complete problems have an exponential upper bound on runtime but only a polynomial lower bound, making them appear intractable. However, their intractability cannot be proven.
- NP-complete problems are reducible to each other in polynomial time. Solving one would solve all NP-complete problems.
- NP refers to problems that can be verified in polynomial time. P refers to problems that can be solved in polynomial time.
- A problem is NP-complete if it is in NP and all other NP problems can be reduced to it in polynomial time. Proving a problem is NP-complete involves showing
What is Coding
Coding is new literacy and you shouldn't miss the chance to learn to code. Not only you but your children should learn to code. Learn more about coding in a fun and easy way with RoboGarden.
RoboGarden is an easy to understand, hands-on educational app where students take part in active learning. Fully equipped to teach coding literacy from scratch, RoboGarden reduces the need for a tech-savvy teacher.
For More info Please visit: www.robogarden.ca
Chapter 1 - An Introduction to Programming
The document is an introductory chapter about programming from a textbook on C++ programming. It defines key programming concepts and terms like programs, programmers, programming languages, algorithms, and control structures. It explains that programs are sets of instructions for computers, and that programmers use programming languages to communicate those instructions. Early programming languages included machine language using binary, and assembly language using mnemonics. Modern languages are high-level languages that are easier for humans to read and write. These can be procedural languages or object-oriented languages. The chapter describes the three basic control structures that all programs use - sequence, selection, and repetition. Sequence structures run code in order, selection structures make decisions using conditions, and repetition structures repeat code for
Fundamental Programming Lect 2
This document discusses problem solving using computers and programming. It explains that problem solving involves defining the problem by identifying the inputs, outputs, and processing required. It then discusses designing the solution by representing each step graphically. Examples are provided of representing problems like calculating a sum, average, and other mathematical operations. The document notes that computers are useful for problems involving extensive inputs/outputs, complicated solutions, or those that would take too long to solve manually.
Introduction to programming principles languages
Explain the basic computer and programming fundamentals with appropriate examples of language and technology.
Introduction to Embedded Systems
This Presentation will help anyone interested in the embedded systems field to get the basic concepts in this important field.
#نسالكم_الدعاء
Design Principles
The document discusses techniques for designing software architecture and making good design decisions. It provides principles for dividing a system into components, increasing cohesion and reducing coupling between components. The document emphasizes designing for qualities like flexibility, reusability, portability and testability. Priorities, objectives and cost-benefit analysis can be used to evaluate design alternatives. The architecture is the core of the design and should divide the system into subsystems and define their interactions and interfaces.
Cs2303 theory of computation all anna University question papers
Cs2303 theory of computation all anna University question papers fifth semester computer science and engineering
software development and programming languages
This document provides an introduction to software development and programming languages. It discusses what software is, different types of software including system software and application software. It also describes various software development process models, focusing on the waterfall model. The waterfall model consists of analysis, design, coding, and testing phases. Finally, it discusses some programming language concepts and mentions that compilers are important for programming languages.
What's hot (20)
Cs2303 theory of computation all anna University question papers
Cs2303 theory of computation all anna University question papers
Similar to Workshop on programming contest
Take Pride in Your Code - Test-Driven Development
TDD is one of the best practices a developer would pick throughout his professional career. In this slide-deck, we shed a light on enriching your code with the goodies of TDD.
Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is
2018 Women in Analytics Conference
https://www.womeninanalytics.org/
Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning.
Software Development Essential Skills
The document discusses essential skills that programmers need versus accidental skills. Essential skills are hard to acquire but long-lasting, including things like managing complexity, writing readable code, and limiting bugs. These skills separate good programmers from bad. Accidental skills like knowledge of a specific programming language are easier to obtain but have shorter usefulness. The document advocates spending time on design, planning, unit testing, discussing solutions with others, and considering alternative solutions rather than just focusing on writing code. Developing essential skills through these practices can help programmers continuously learn and improve over the course of their careers.
Cepstrum Placement Talk 2022.pptx
This document provides guidance on preparing for software engineering and data science interviews at various companies. It recommends focusing on data structures and algorithms, practicing coding on sites like Leetcode and InterviewBit, and preparing for math concepts like probability, statistics, and linear algebra. It also stresses the importance of practicing communication during mock interviews, being able to discuss problem-solving approaches, and having a strong understanding of computer science fundamentals and one's own work experience and motivation.
Agile Methodologies And Extreme Programming
The document discusses Agile development and Extreme Programming (XP). It provides an overview of 12 key practices of XP, including planning games, small releases, test-driven development, pair programming, collective ownership, continuous integration and 40-hour work weeks. It also discusses how XP aims to solve software engineering problems through intensive teamwork, handling changes and staff turnover, and involving customers.
Agile Methodologies And Extreme Programming - Svetlin Nakov
1. Agile development and Extreme Programming (XP) are methodologies that focus on iterative development, collaboration, and adaptability.
2. XP consists of 12 key practices including simple design, test-driven development, pair programming, and small releases. It aims to improve quality, reduce risks, and adapt to changing requirements.
3. While XP works well for some projects and teams, its practices may not be suitable or flexible enough for all situations. Developers should understand the principles behind XP and tailor practices as needed for their specific projects.
Engineer - Mastering the Art of Software
With the evolution of software, starts an evolution of the software developer and how things are approached. A different and more responsible mindset is now required and with that comes the use of the Engineering Cycle that will provide not only the basic skill set but also the core base for a Software Engineer to handle any type of project.
Intro To Java Alpharetta Meetup Day-1
The document provides information about an intro to Java course including enrollment details, meetup session information, and recaps of course content. Enrollment details include the course website, contact email, and where to find FAQs. Meetup sessions will be virtual with instructions provided on muting/unmuting lines and encouraging discussions. Recaps cover what coding is, the components inside a computer, an introduction to Java including how it can run on any machine, and a simple "Hello World" Java program.
Good programming practices updated
This document outlines good programming practices for students to follow such as practicing and failing to improve, working in teams to solve problems, always coding to improve skills, debugging errors gracefully, and testing programs thoroughly. It recommends writing code on paper first, timing tasks, using functions and comments, handling exceptions, and getting feedback from others. Students should practice these techniques to write clean, well-structured code and solve problems effectively.
Community day the power of certification
This is my presentation I gave at Belgian Community day last week, talking about the importance of being IT certified. It explains the updated credentials MCSA and MCSE, followed by tips and tricks on how to prepare, register, take and pass the exam in a better way.
IBM Study material
The document provides information about the sections and questions in IBM's online test for job applicants. It consists of 4 sections with a total of 78-98 questions to be completed in 100 minutes. The sections include Cognitive Ability Tests, Learning Agility Assessments, English Language Tests, and Coding Tests. Sample questions and tips are provided for each section to help candidates prepare.
Preparing for IEEEXtreme 12.0 & mora xtreme
Session done for University of Moratuwa undergrads to share some information about preparation for IEEEXtreme and MoraXtreme (An internal competitive programming contest)
Software developer interview fails
The document summarizes the NOVA Code Camp 2018 event. It thanks the organizers, volunteers, sponsors, and audience. It then provides an overview of interview fails and recommendations for software developer candidates, including listening, asking clarifying questions, and not letting your guard down during interviews. It ends with sample technical interview questions.
Project Management Bootcamp for Event Professionals
This document outlines an agenda for a project management bootcamp covering best practices, technology tools, and productivity hacks. The agenda includes an introduction, learning objectives, a discussion of why project management is important, a deep dive on the project definition document and Asana project management software, and tips for improving productivity. The document provides overviews of various project management and productivity technologies such as Google Apps, CRM software, proposal tools, task managers, time trackers, document sharing platforms, and communication tools to help attendees select options to improve their work.
How to get placed in product based companies as a software developer
This document provides tips for getting placed at product-based software companies. It discusses the differences between product-based and service-based companies. It emphasizes the importance of data structures and algorithms (DSA) and provides a 5-step process for mastering DSA. This includes understanding concepts, solving problems, discussion, mentorship, and evaluation. It also describes common interview rounds like coding tests, technical rounds, and HR interviews. It recommends focusing on projects, resume quality, and the Masai school's assistance in areas like concepts, problems, discussion, and evaluation.
How Iterating Faster Builds Better Product by Capital One PM
Main takeaways:
- Why it is important to iterate quickly
- Why do software projects get slower as they get larger
- How can Product Managers keep the product iterating quickly
Good behaviors
This document provides advice for developers at different levels and in working with various roles. It discusses that a developer is someone who writes software and outlines junior and senior developer levels. It also lists important skills and advises developers to work well with customers by listening to feedback, with marketing by clearly explaining concepts, and with QA by engaging in clear communication and defensive coding. The document emphasizes the importance of collaboration, continuous learning, and focus.
Top coder
The document discusses the evolution of TopCoder, a crowdsourcing platform for software development. It began as a consulting business (v1.0) using competitions to hire developers. In v2.0, it shifted to a competition-based model for tasks. In v2.1, it reduced costs by having crowds complete more tasks. It uses algorithm competitions to attract and retain developers with challenges, testing their skills. Software competitions provide clients with solutions. Money and ratings motivate developers at different activity levels within the TopCoder community.
Top coder
The document discusses the evolution of TopCoder, a crowdsourcing platform for software development. It began as a consulting business (v1.0) where winners of competitions got jobs. It transitioned to a competition-based model (v2.0) where clients post tasks and winners get monetary rewards. To reduce costs, v2.1 had clients directly post tasks in different phases of development. It saw decreased revenues but lower costs. Algorithm competitions help attract and retain members through challenges, while software competitions provide clients with solutions. Monetary rewards and ratings motivate members to be more active in the TopCoder community.
Greythorn Whiteboard Interview Guide
In a whiteboard interview, your goal should be to convince the manager that you will be a positive influence on the team and contribute to the team's success. This guide will help you set the right mindset, ask the right questions, and showcase your strengths.
Similar to Workshop on programming contest (20)
Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is
Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is
Agile Methodologies And Extreme Programming - Svetlin Nakov
Agile Methodologies And Extreme Programming - Svetlin Nakov
Project Management Bootcamp for Event Professionals
Project Management Bootcamp for Event Professionals
How to get placed in product based companies as a software developer
How to get placed in product based companies as a software developer
How Iterating Faster Builds Better Product by Capital One PM
How Iterating Faster Builds Better Product by Capital One PM
Recently uploaded
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Recycled Concrete Aggregate in Construction Part II
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
Bigdata of technology
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Recently uploaded (20)
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Recycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part II
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Workshop on programming contest
- 1. “ “
- 2. Presented By Abir Bin Ayub Khan Semester wise : 7AC According club: Programming Contest Secretary Computer Club , IIUC Most of All: Java Learner, Programming Enthusiast
- 3. Topics of Discussion Programming Contest = Competitive Programming Meritsand Demerits Tips for Starting Competitive/Contest Programming Varsity Courses to Watch Out Online and Onsite Contests
- 4. Programming Contest = Competitive Programming Thought #1 Thought #2 Thought #3
- 5. Programming Contest = Competitive Programming Solving well-defined problems by writing computer programs under specified limits. - One or more problems - Variables - Input Constraints
- 6. Programming Contest = Competitive Programming Solving well-defined problems by writing computer programs under specified limits. - Simple Command Line Programs - Reads Values of variables from keyboard - Writes output/answer on the screen
- 7. Programming Contest = Competitive Programming Solving well-defined problems by writing computer programs under specified limits. - Must run and produce answer within a specified Time and Memory Limit - Specified set of Allowed Programming Languages, C, C++, Java ….
- 8. A sample Problem Sample Problem : The Smallest Gutibaz You have N varsity friends. Some of them are tall and some are short in size . Among them there is one who is the smallest in size but the most dangerous in Gutibazi. You call him “Choto Gutibaz” whenever you see him in public. From the given N heights of your friends you to find the height of the dangerous “Choto Gutibaz”. Input Format: The first line contains a single integer N. The next line contains N space-separated heights Height[i].
- 9. A sample Problem Sample Input: 7 1 8 9 4 5 6 2 Sample Output: 1 Constraints: • 1 <= N <= 100 • For each i, 2 <= Height[i] <= 10
- 10. Real life Vs. Competitive Programming Life Competitive Programming: - Only 10 minutes - Find the weakest Point - Strike Fast - Have a treat Real Life Programming: - Sharpen the Knife - Wait for the Lion - Days , months or years - Grab something better Kill a To Survive With a pocket Knife
- 11. Merits and Demerits Merits: Demerits: #1 Addiction but not Fatal #2 Frustration can be overcome #1 Joy, Fun and Excitement #2 Good way to Practice Coding #3 Learn to Think in the Right Solution #4 Crush the Interviews …#5 Don’t worry about Jobs, Jobs will worry about you
- 12. Tips to Start Competitive Programming Tip 001 Learn a Programming Language Tip 002 Open accounts on Online Judges Tip 003 Learn Data Structure and Algorithm Tip 005 Team Up, Challange … Tip 004 Be Patient and Hungry Tip 006 Don’t Miss any Contest
- 13. Online and Onsite Contests ACM ICPC World Finals Google Code Jam Facebook HackerCup Codechef Cook-off … TopCoder Algorithm Open NCPC – National Collegiate Programming Contest IUPC - Inter University Programming Contest IIUPC – IUPC of IIUC
- 14. Online and Onsite Contests UVA online Judge Light OJ URI Online Judge Hackerrank … SPOJ Codechef Codeforces Topcoder
- 15. Varsity Courses to Watch out For 1st Semester Computer Fundamentals 2nd Semester • C Language • Discrete Mathematics 2nd Semester • Data Structure • C++ 4th Semester • Algorithm • Java 5th Semester • Java
- 17. T H A N K Y O U