Advertisement
| final year projects for computer science: Planning and Implementing your Final Year Project — with Success! Mikael Berndtsson, Jörgen Hansson, B. Olsson, Björn Lundell, 2013-03-09 Written in concise language this book is for any student who is about to undertake a final year undergraduate or MSc project. It takes them step-by-step through all the important stages of the process, from initial planning to completion. It tells them everything they need to know about key issues such as: How to formulate a suitable problem, Which research method to use, Developing an appropriate structure for the written report, Project focus, and Quality assurance. The book aims to demystify the whole process, making it invaluable for any MSc student. |
| final year projects for computer science: Thesis Projects Mikael Berndtsson, Jörgen Hansson, B. Olsson, Björn Lundell, 2007-10-25 You’re a computing or information student with a huge mountain to climb – that final-year research project. Don’t worry, because with this book guardian angels are at hand, in the form of four brilliant academics who will guide you through the process. The book provides you with all the tools necessary to successfully complete a final year research project. Based on an approach that has been tried and tested on over 500 projects, it offers a simple step-by-step guide to the key processes involved. Not only that, but the book also contains lots of useful information for supervisors and examiners including guidelines on how to review a final year project. |
| final year projects for computer science: Real-World Software Projects for Computer Science and Engineering Students Varun Gupta, Anh Nguyen-Duc, 2021-02-24 Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World Software Projects for Computer Science and Engineering Students is a quick, easy source for tackling such issues. Filling a critical gap in the research literature, the book: Is ideal for academic project supervisors. Helps researchers conduct interdisciplinary research. Guides computer science students on undertaking and implementing research-based projects This book explains how to develop highly complex, industry-specific projects touching on real-world complexities of software developments. It shows how to develop projects for students who have not yet had the chance to gain real-world experience, providing opportunity to become familiar with the skills needed to implement projects using standard development methodologies. The book is also a great source for teachers of undergraduate students in software engineering and computer science as it can help students prepare for the risk and uncertainty that is typical of software development in industrial settings. |
| final year projects for computer science: Technology in Education. Transforming Educational Practices with Technology Kam Cheong Li, Tak-Lam Wong, Simon K.S. Cheung, Jeanne Lam, Kwan Keung Ng, 2015-02-04 This book constitutes the refereed proceedings of the International Conference on Technology in Education, ICTE 2014, held in Hong Kong, in July 2014. The 18 revised full papers and 4 short papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on application of mobile technologies in e-learning; technology advancement in e-learning systems; innovations in e-learning pedagogy; open education and institution e-learning policy. |
| final year projects for computer science: Computer Based Projects for a Chemistry Curriculum Thomas J. Manning, Aurora P. Gramatges, 2013-04-04 This e-book is a collection of exercises designed for students studying chemistry courses at a high school or undergraduate level. The e-book contains 24 chapters each containing various activities employing applications such as MS excel (spreadsheets) and Spartan (computational modeling). Each project is explained in a simple, easy-to-understand manner. The content within this book is suitable as a guide for both teachers and students and each chapter is supplemented with practice guidelines and exercises. Computer Based Projects for a Chemistry Curriculum therefore serves to bring computer based learning – a much needed addition in line with modern educational trends – to the chemistry classroom. |
| final year projects for computer science: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
| final year projects for computer science: Java Projects Bpb, 2004-11 The java projects book enables you to develop java applications using an easy and simple approac.The book is designed for the readers,who are familiar with java programming.The book provides numerous listings and figures for an affective understanding of java concepts.The book consists of a CD that includes source code for all the java applications. Table of contents: Chapter 1 Creating a calculator applications Chapter 2 Creating analog clock applications Chapter 3 Creating a 9-box puzzle game Chapter 4 Student information management system Chapter 5 Creating a text editor applications Chapter 6 Creating an online test applications Chapter 7 Creating a shopping cart applications Chapter 8 Share trading application Chapter 9 Online banking applications |
| final year projects for computer science: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| final year projects for computer science: Coding Projects in Scratch Jon Woodcock, 2016-07-05 Coding Projects in Scratch uses fun projects to show children how to code with Scratch, teaching essential coding and programming skills to young learners. Built on the basics of coding, each project follows simple, logical steps that are fully illustrated. Kids learn a new, important language through simply explained projects, with key coding concepts broken out in separate panels and illustrated with Minecraft-style pixel art. Learn how to create animations, build games, use sound effects, and more before sharing projects with friends online. Coding Projects in Scratch is highly visual and unique step-by-step workbook will help beginners with no coding skills learn how to build their own projects without any instructions, and helps them develop key programming skills that will last a lifetime. |
| final year projects for computer science: Ditch That Textbook Matt Miller, 2015-04-13 Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting by the textbook implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms. |
| final year projects for computer science: Originals Adam Grant, 2017-02-07 The #1 New York Times bestseller that examines how people can champion new ideas in their careers and everyday life—and how leaders can fight groupthink, from the author of Hidden Potential, Think Again, and the co-author of Option B “Filled with fresh insights on a broad array of topics that are important to our personal and professional lives.”—The New York Times DealBook “Originals is one of the most important and captivating books I have ever read, full of surprising and powerful ideas. It will not only change the way you see the world; it might just change the way you live your life. And it could very well inspire you to change your world.” —Sheryl Sandberg, COO of Facebook and author of Lean In With Give and Take, Adam Grant not only introduced a landmark new paradigm for success but also established himself as one of his generation’s most compelling and provocative thought leaders. In Originals he again addresses the challenge of improving the world, but now from the perspective of becoming original: choosing to champion novel ideas and values that go against the grain, battle conformity, and buck outdated traditions. How can we originate new ideas, policies, and practices without risking it all? Using surprising studies and stories spanning business, politics, sports, and entertainment, Grant explores how to recognize a good idea, speak up without getting silenced, build a coalition of allies, choose the right time to act, and manage fear and doubt; how parents and teachers can nurture originality in children; and how leaders can build cultures that welcome dissent. Learn from an entrepreneur who pitches his start-ups by highlighting the reasons not to invest, a woman at Apple who challenged Steve Jobs from three levels below, an analyst who overturned the rule of secrecy at the CIA, a billionaire financial wizard who fires employees for failing to criticize him, and a TV executive who didn’t even work in comedy but saved Seinfeld from the cutting-room floor. The payoff is a set of groundbreaking insights about rejecting conformity and improving the status quo. |
| final year projects for computer science: Recommendation Engines Michael Schrage, 2020-09-01 How companies like Amazon, Netflix, and Spotify know what you might also like: the history, technology, business, and societal impact of online recommendation engines. Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences you might also like. |
| final year projects for computer science: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| final year projects for computer science: Real-World Software Projects for Computer Science and Engineering Students Varun Gupta, Anh Nguyen-Duc, 2021-02-23 Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World Software Projects for Computer Science and Engineering Students is a quick, easy source for tackling such issues. Filling a critical gap in the research literature, the book: Is ideal for academic project supervisors. Helps researchers conduct interdisciplinary research. Guides computer science students on undertaking and implementing research-based projects This book explains how to develop highly complex, industry-specific projects touching on real-world complexities of software developments. It shows how to develop projects for students who have not yet had the chance to gain real-world experience, providing opportunity to become familiar with the skills needed to implement projects using standard development methodologies. The book is also a great source for teachers of undergraduate students in software engineering and computer science as it can help students prepare for the risk and uncertainty that is typical of software development in industrial settings. |
| final year projects for computer science: Stuck in the Shallow End, updated edition Jane Margolis, 2017-03-03 Why so few African American and Latino/a students study computer science: updated edition of a book that reveals the dynamics of inequality in American schools. The number of African Americans and Latino/as receiving undergraduate and advanced degrees in computer science is disproportionately low. And relatively few African American and Latino/a high school students receive the kind of institutional encouragement, educational opportunities, and preparation needed for them to choose computer science as a field of study and profession. In Stuck in the Shallow End, Jane Margolis and coauthors look at the daily experiences of students and teachers in three Los Angeles public high schools: an overcrowded urban high school, a math and science magnet school, and a well-funded school in an affluent neighborhood. They find an insidious “virtual segregation” that maintains inequality. The race gap in computer science, Margolis discovers, is one example of the way students of color are denied a wide range of occupational and educational futures. Stuck in the Shallow End is a story of how inequality is reproduced in America—and how students and teachers, given the necessary tools, can change the system. Since the 2008 publication of Stuck in the Shallow End, the book has found an eager audience among teachers, school administrators, and academics. This updated edition offers a new preface detailing the progress in making computer science accessible to all, a new postscript, and discussion questions (coauthored by Jane Margolis and Joanna Goode). |
| final year projects for computer science: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| final year projects for computer science: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| final year projects for computer science: Computer Projects for Middle Schools Steve Butz, 2000 Provides activities for middle school students to become familiar with spreadsheets, databases, computer-assisted drawing, and LOGO programming. |
| final year projects for computer science: Computer Science (IT) Advice , The best Computer science (IT) tips for PCs, Smartphones, Tablets for Maintenance and Optimization, Internet Security (Account protection, how to defend yourself from Viruses, make online purchases safely, speed up surfing), tips for Digital Marketing, for the more experienced the Programming, and finally Video Games.) |
| final year projects for computer science: Learning Machine Translation Cyril Goutte, Nicola Cancedda, Marc Dymetman, George Foster, 2009 How Machine Learning can improve machine translation: enabling technologies and new statistical techniques. |
| final year projects for computer science: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| final year projects for computer science: Python Machine Learning Sebastian Raschka, 2015-09-23 Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models. |
| final year projects for computer science: Guide to Teaching Computer Science Orit Hazzan, Tami Lapidot, Noa Ragonis, 2015-01-07 This textbook presents both a conceptual framework and detailed implementation guidelines for computer science (CS) teaching. Updated with the latest teaching approaches and trends, and expanded with new learning activities, the content of this new edition is clearly written and structured to be applicable to all levels of CS education and for any teaching organization. Features: provides 110 detailed learning activities; reviews curriculum and cross-curriculum topics in CS; explores the benefits of CS education research; describes strategies for cultivating problem-solving skills, for assessing learning processes, and for dealing with pupils’ misunderstandings; proposes active-learning-based classroom teaching methods, including lab-based teaching; discusses various types of questions that a CS instructor or trainer can use for a range of teaching situations; investigates thoroughly issues of lesson planning and course design; examines the first field teaching experiences gained by CS teachers. |
| final year projects for computer science: Deep Learning with JavaScript Shanqing Cai, Stan Bileschi, Eric Nielsen, 2019-10-07 Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. |
| final year projects for computer science: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| final year projects for computer science: Test-Driven Development with Python Harry Percival, 2017-08-02 By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface |
| final year projects for computer science: Fundamental Concepts in Computer Science Erol Gelenbe, 2009 This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a OC living historyOCO of the field of computer science. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers. |
| final year projects for computer science: Thesis Projects Mikael Berndtsson, Jörgen Hansson, B. Olsson, Björn Lundell, 2007-10-30 You’re a computing or information student with a huge mountain to climb – that final-year research project. Don’t worry, because with this book guardian angels are at hand, in the form of four brilliant academics who will guide you through the process. The book provides you with all the tools necessary to successfully complete a final year research project. Based on an approach that has been tried and tested on over 500 projects, it offers a simple step-by-step guide to the key processes involved. Not only that, but the book also contains lots of useful information for supervisors and examiners including guidelines on how to review a final year project. |
| final year projects for computer science: Practice of Computing Using Python, The: Pearson New International Edition William F. Punch, Richard Enbody, 2013-08-29 For CS1 courses in Python Programming (including majors and non-majors). A problem-solving approach to programming with Python. The Practice of Computing Using Python introduces CS1 students (majors and non-majors) to computational thinking using Python.With data-manipulation as a theme, students quickly see the value in what they’re learning and leave the course with a set of immediately useful computational skills that can be applied to problems they encounter in future pursuits. The book takes an “object-use-first” approach–writing classes is covered only after students have mastered using objects. This edition is available with MyProgrammingLab, an innovative online homework and assessment tool. Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. Note: If you are purchasing the standalone text or electronic version, MyProgrammingLab does not come automatically packaged with the text. To purchase MyProgrammingLab, please visit: myprogramminglab.com or you can purchase a package of the physical text + MyProgrammingLab by searching for ISBN 10: 0132992833 / ISBN 13: 9780132992831.MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor |
| final year projects for computer science: Operating Systems Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau, 2018-09 This book is organized around three concepts fundamental to OS construction: virtualization (of CPU and memory), concurrency (locks and condition variables), and persistence (disks, RAIDS, and file systems--Back cover. |
| final year projects for computer science: The Passion-Driven Classroom Angela Maiers, Amy Sandvold, 2014-01-09 Join The Passion-Driven Classroom Summer Book Club on the Curriculum 21 Ning! Discover ways to cultivate a thriving and passionate community of learners – in your classroom! In this book, educators and consultants Angela Maiers and Amy Sandvold show you how to spark and sustain your students’ energy, excitement, and love of learning. This book presents ideas for planning and implementing a Clubhouse Classroom, where passion meets practice every day. In the Clubhouse Classroom, students learn new skills and explore their talents with the help of educators who are invigorated by the subjects they teach. Contents include: Achievement Gap or Passion Gap? A Passion-Driven Classroom: The Essentials Organizing the Clubhouse Classroom Managing the Clubhouse Classroom Learn how to move away from prescription-driven learning toward passion-driven learning, and begin to make a real difference in the lives of your students. These strategies will help teachers in Grades K-12 put the heart back into teaching and learning – and make a lasting impact as educators! |
| final year projects for computer science: Feynman Lectures On Computation Richard P. Feynman, 2018-07-03 When, in 1984?86, Richard P. Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a ?Feynmanesque? overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers. |
| final year projects for computer science: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Zhaohao Sun, Zhiyou Wu, 2021 This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way-- |
| final year projects for computer science: Necromancer Awakening Nat Russo, 2016-05-28 Knowledge in the absence of wisdom is a dangerous thing. Texas archaeology student Nicolas Murray has an ironic fear of the dead. A latent power connecting him to an ancient order of Necromancers floods his mind with impossible images of battle among hive-mind predators and philosopher fishmen. When a funeral service leaves him shaken and questioning his sanity, the insidious power strands him in a land where the sky kills and earthquakes level cities. A land where the undead serve the living, and Necromancers summon warriors from ancient graves to fight in a war that spans life and afterlife. If Nicolas masters the Three Laws of Necromancy, he can use them to get home. But as he learns to raise and purify the dead-a process that makes him relive entire lifetimes in the span of a moment-the very power that could bring him home may also prevent his return. For the supreme religious leader, the Archmage Kagan, has outlawed Necromancy, and its practitioners risk torture and execution. As warring nations hunt Necromancers to extinction, countless dead in limbo await a purification that may never come. Nicolas's power could be his way home... Or it could save a world that wants him dead. |
| final year projects for computer science: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website. |
| final year projects for computer science: Practical Common Lisp Peter Seibel, 2006-11-01 * Treats LISP as a language for commercial applications, not a language for academic AI concerns. This could be considered to be a secondary text for the Lisp course that most schools teach . This would appeal to students who sat through a LISP course in college without quite getting it – so a nostalgia approach, as in wow-lisp can be practical... * Discusses the Lisp programming model and environment. Contains an introduction to the language and gives a thorough overview of all of Common Lisp’s main features. * Designed for experienced programmers no matter what languages they may be coming from and written for a modern audience—programmers who are familiar with languages like Java, Python, and Perl. * Includes several examples of working code that actually does something useful like Web programming and database access. |
| final year projects for computer science: The Multivariate Algorithmic Revolution and Beyond Hans L. Bodlaender, Rodney Downey, Fedor V. Fomin, Dániel Marx, 2012-06-16 Parameterized complexity is currently a thriving field in complexity theory and algorithm design. A significant part of the success of the field can be attributed to Michael R. Fellows. This Festschrift has been published in honor of Mike Fellows on the occasion of his 60th birthday. It contains 20 papers that showcase the important scientific contributions of this remarkable man, describes the history of the field of parameterized complexity, and also reflects on other parts of Mike Fellows’s unique and broad range of interests, including his work on the popularization of discrete mathematics for young children. The volume contains several surveys that introduce the reader to the field of parameterized complexity and discuss important notions, results, and developments in this field. |
| final year projects for computer science: Summaries of Projects Completed National Science Foundation (U.S.), |
| final year projects for computer science: Get Set for Computer Science Alistair Edwards, 2006-02-17 This book is aimed at students who are thinking of studying Computer Science or a related topic at university. Part One is a brief introduction to the topics that make up Computer Science, some of which you would expect to find as course modules in a Computer Science programme. These descriptions should help you to tell the difference between Computer Science as taught in different departments and so help you to choose a course that best suits you. Part Two builds on what you have learned about the nature of Computer Science by giving you guidance in choosing universities and making your applications to them. Then Part Three gives you some advice on what to do once you get to university, how to get the most out of studying your Computer Science degree. The principal objective of the book is to produce happy students, students who know what they are letting themselves in for when they start a Computer Science course, and hence find themselves very well suited for the course they choose. |
| final year projects for computer science: The Little LISPer Daniel P. Friedman, Matthias Felleisen, 1989 |
FINAL Definition & Meaning - Merriam-Webster
last, final, terminal, ultimate mean following all others (as in time, order, or importance). last applies to something that comes at the end of a series but does not always imply that the …
Stanley Cup Final 2025 results, score: Panthers take pivotal Game …
3 days ago · Stanley Cup Final 2025 results, score: Panthers take pivotal Game 5 vs. Oilers with Brad Marchand's two goals The veteran has continued his incredible run of play through the …
FINAL | definition in the Cambridge English Dictionary
FINAL meaning: 1. last: 2. used when you are talking about what is most important or true in a situation: 3…. Learn more.
Final - definition of final by The Free Dictionary
final - conclusive in a process or progression; "the final answer"; "a last resort"; "the net result"
FINAL Definition & Meaning | Dictionary.com
Final definition: pertaining to or coming at the end; last in place, order, or time.. See examples of FINAL used in a sentence.
Final Definition & Meaning - YourDictionary
Final definition: Forming or occurring at the end; last.
final - Wiktionary, the free dictionary
May 17, 2025 · Respecting an end or object to be gained; respecting the purpose or ultimate end in view. (grammar) Expressing purpose; as in the term final clause. (linguistics) Word-final; …
FINAL Synonyms: 180 Similar and Opposite Words - Merriam-Webster
Some common synonyms of final are last, terminal, and ultimate. While all these words mean "following all others (as in time, order, or importance)," final applies to that which definitely …
FINAL | definition in the Cambridge Learner’s Dictionary
FINAL meaning: 1. last in a series or coming at the end of something: 2. If a decision, agreement, or answer is…. Learn more.
How to watch Oilers-Panthers in Game 6 of the Stanley Cup Final
Jun 19, 2025 · The Panthers are moneyline favorites, with odds at -155 to the Oilers at +130. If necessary, Game 7 will take place Friday, June 20, at 8 p.m. ET from Rogers Place in …
FINAL Definition & Meaning - Merria…
last, final, terminal, ultimate mean following all others (as in time, order, or …
Stanley Cup Final 2025 results, score…
3 days ago · Stanley Cup Final 2025 results, score: Panthers take pivotal Game 5 vs. Oilers with Brad Marchand's two goals …
FINAL | definition in the Cambridge Engl…
FINAL meaning: 1. last: 2. used when you are talking about what is most …
Final - definition of final by The Free Di…
final - conclusive in a process or progression; "the final answer"; "a last resort"; "the net result"
FINAL Definition & Meaning | Dictionar…
Final definition: pertaining to or coming at the end; last in place, order, or time.. …
