Danh Mục Tài Liệu Số Khoa Kỹ Thuật Và Khoa Học Máy Tính năm 2023
| STT | NHAN ĐỀ | TÁC GIẢ | NHÀ XB | NĂM XB | SỐ TRANG | SỐ PHÂN LOẠI | TOÀN VĂN |
| 1 | Giáo trình vật lý đại cương – Tập 1 | Lương Uyên Bình | Giáo dục | 2005 | 156 | 530.0711 |  |
| Tóm tắt: Giáo trình Vật lý đại cương (Tập 1) được biên soạn nhằm hình thành cho bạn học những kiến thức cơ bản về vật lý, góp phần tạo nền tảng cho các môn khoa học khác, hình thành cơ sở để học và nghiên cứu các ngành kỹ thuật, công nghiệp tiên tiến, góp phần rèn luyện phương pháp suy luận khao học, tư duy lôgic, phương pháp nghiên cứu thực nghiệm, tác phong khoa học đối với người kĩ sư tương lai, góp phần xây dựng thế giới khoa học duy vật biện chứng. | |||||||
| 2 | Hóa học hữu cơ 1 | Nguyễn Hữu Đĩnh | Giáo dục | 2003 | 400 | 547 | |
| Tóm tắt: Trình bày kiến thức về hoá học hữu cơ và hợp chất hữu cơ. Liên kết và sự biến đổi liên kết ở hợp chất hữu cơ. Một số phương pháp phổ thường dùng trong hoá hữu cơ. Tìm hiểu về hiđrocacbon no, hiđrocacbon thiên nhiên và nguồn hiđrocacbon thiên nhiên | |||||||
| 3 | Essential Calculus Skills Practice Workbook with Full Solutions | Chris McMullen | Zishka Publishing | 2018 | 528 | 515.076 | |
| Abstract: This workbook covers a variety of essential calculus skills, including: derivatives of polynomials, trig functions, exponentials, and logarithmsthe chain rule, product rule, and quotient rulesecond derivativeshow to find the extreme values of a functionlimits, including l’Hopital’s ruleantiderivatives of polynomials, trig functions, exponentials, and logarithmsdefinite and indefinite integralstechniques of integration, including substitution, trig sub, and integration by partsmultiple integralsThe goal of this workbook isn’t to cover every possible topic from calculus, but to focus on the most essential skills needed to apply calculus to other subjects, such as physics or engineering | |||||||
| 4 | Springer Handbook of Robotics, 2nd ed | Bruno Siciliano, Oussama Khatib | Springer | 2017 | 2155 | 629.892 | |
| Abstract: With the science of robotics undergoing a major transformation just now, Springer’s new, authoritative handbook on the subject couldn’t have come at a better time. Having broken free from its origins in industry, robotics has been rapidly expanding into the challenging terrain of unstructured environments. Unlike other handbooks that focus on industrial applications, the Springer Handbook of Robotics incorporates these new developments. Just like all Springer Handbooks, it is utterly comprehensive, edited by internationally renowned experts, and replete with contributions from leading researchers from around the world. The handbook is an ideal resource for robotics experts but also for people new to this expanding field. | 5 | Fundamentals of Database Systems, 6th Edition | Ramez Elmasri, Shamkant B. Navathe | Pearson | 2010 | 1201 | 005.74 | |
| Abstract: Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, Fundamentals of Database Systems, 6/e emphasizes math models, design issues, relational algebra, and relational calculus. A lab manual and problems give students opportunities to practice the fundamentals of design and implementation. Real-world examples serve as engaging, practical illustrations of database concepts. The Sixth Edition maintains its coverage of the most popular database topics, including SQL, security, and data mining, and features increased emphasis on XML and semi-structured data. |
6 | Operating System Concepts, Binder Ready Version, 9th Edition | Abraham Silberschatz, Peter B. Galvin, Greg Gagne | Wiley | 2013 | 944 | 005.43 | |
| Abstract: Operating System Concepts, now in its ninth edition, continues to provide a solid theoretical foundation for understanding operating systems. The ninth edition has been thoroughly updated to include contemporary examples of how operating systems function.The text includes content to bridge the gap between concepts andactual implementations. End-of-chapter problems, exercises, review questions, and programming exercises help to further reinforce important concepts. A new Virtual Machine provides interactive exercises to help engage students with the material. | 7 | Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition | Avinash Navlani, Armando Fandango, Ivan Idris, | Packt Publishing Limited | 2021 | 463 | 004.1 | |
| Abstract: Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you’ll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You’ll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you’ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you’ll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you’ll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data. | 8 | Data Structures and Algorithm Analysis in C |
Mark Allen Weiss by Mark Allen Weiss | Pearson | 2010 | 570 | 005.133 | |
| Abstract: Data Structures and Algorithm Analysis in C, Mark Allen Weiss, continues to refine and enhance his innovative approach to algorithms and data structures. Using a C implementation, he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes Data Structures and Algorithm Analysis in C with the extensive use of figures and examples showing the successive stages of an algorithm, his engaging writing style, and a logical organization of topics. | 9 | Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition | Alberto Artasanchez, Prateek Joshi | Packt Publishing Limited | 2020 | 619 | 006.76 | |
| Abstract: Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. | |||||||
| 10 | Deep Learning with Python | Francois Chollet | Manning Publications | 2022 | 386 | 006.31 | |
| Abstract: Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You’ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you’ll have the knowledge and hands-on skills to apply deep learning in your own projects. | 11 | Learning Spark: Lightning-Fast Big Data Analysis | Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia | O’Reilly Media | 2015 | 274 | 005.7 | |
Abstract: Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. | 12 | Phát triển hệ thống hướng đối tượng với UML 2.0 và C++ | Nguyễn Văn Ba | Đại học Quốc gia Hà Nội | 2005 | 183 | 005.362 | |
Tóm tắt: Khái quát các cơ sở của lập trình hướng đối tượng với UML2.0 và C++ như: Mô hình hoá hướng đối tượng, mô hình hoá môi trường và nhu cầu, mô hình hoá cấu trúc, hành vi, thiết kế hệ thống, các cơ sở của C++, cài đặt các lớp, cài đặt các mối liên quan… | 13 | Modern Data Access with Entity Framework Core: Database Programming Techniques for .NET, .NET Core, UWP, and Xamarin with C# | Holger Schwichtenberg | Apress | 2018 | 665 | 004.165 | |
Abstract: Modern Data Access with Entity Framework Core teaches best practices, guidance, and shortcuts that will significantly reduce the amount of resources you internally dedicate to programming data access code. The proven methods and tools taught in this book, such as how to get better performance, and the ability to select the platform of your choice, will save you valuable time and allow you to create seamless data access. Dive into succinct guidance that covers the gamut– from installing Entity Framework Core, reverse engineering, forward engineering (including schema migrations), and data reading and modification with LINQ, Dynamic LINQ, SQL, Stored Procedures, and Table Valued Functions- to using third-party products such as LINQPad, Entity Developer, Entity Framework Profiler, EFPlus, and AutoMapper. You’ll also appreciate excerpts of conceptual software architecture discussion around Entity Framework Core that might otherwise take years to learn. | 14 | Computer Networking: A Top-Down Approach, 6th Edition | James Kurose, Keith Ross | Pearson Education | 2012 | 889 | 004.6 | |
Abstract: Building on the successful top-down approach of previous editions, the Fifth Edition of Computer Networking continues with an early emphasis on application-layer paradigms and application programming interfaces (the top layer), encouraging a hands-on experience with protocols and networking concepts, before working down the protocol stack to more abstract layers. This book has become the dominant book for this course because of the authors’ reputations, the precision of explanation, the quality of the art program, and the value of their own supplements. | 15 | Cloud Computing in Digital Transformation | Doan Van Thang, Ho Phan Hieu, Bui Thanh Khiet, Nguyen Ngoc Dung, Nguyen Trong Tung | SHINEEKS Publishers | 2022 | 81 | 006.78 | |
Abstract: The 4.0 technology revolution has opened up challenges and opportunities for researchers, engineers and students in the field of information and communication technology. The inevitable trend of the whole world is a digital society. Recognizing that problem, our research team compiled the book “Cloud Computing In Digital Transformation”. Digital transformation originates from the intersection between cloud computing (Cloud), big data (Big Data), Internet of things (IoT) and artificial intelligence (AI). Today, digital transformation plays a vital role in all industries. Some describe it as the power of digital technology applied to every aspect of an organization. Others refer to it as the adoption of digital technology and the use of advanced analytics to create economic value, flexibility and speed. Many people are confusing Data Digitization and Process Digitization as the same thing, but it is not. Notice the “al” element in the concept of Digitization and Digitalization. In essence, process digitization is a higher level of development, which already has the “digital” factor involved to change the current way of doing things, bringing more efficiency. And most Vietnamese enterprises are currently in the process of digitizing processes and a few have successfullym digitalized. | 16 | Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems | Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana | O’Reilly Media | 2020 | 455 | 006.35 | |
Abstract: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective | 17 | Learning OpenCV 3 | Adrian Kaehler, Gary Bradski | O’Reilly Media | 2016 | 1018 | 006.37 | |
Abstract: Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You’ll learn what it takes to build applications that enable computers to “see” and make decisions based on that data. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned. This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision. Learn OpenCV data types, array types, and array operations Capture and store still and video images with HighGUI Transform images to stretch, shrink, warp, remap, and repair Explore pattern recognition, including face detection Track objects and motion through the visual field Reconstruct 3D images from stereo vision Discover basic and advanced machine learning techniques in OpenCV | 18 | Introduction to Reliable and Secure Distributed Programming, 2nd Edition | Christian Cachin, Rachid Guerraoui, Luis Rodrigues | Springer | 2011 | 388 | 005.14 | |
Abstract: In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Failures may range from crashes to adversarial attacks by malicious processes.Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding This book represents the second edition of “Introduction to Reliable Distributed Programming”. Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name “Byzantine fault-tolerance”. | 19 | Software Engineering: A Practitioner’s Approach, 7th Edition | Roger Pressman | McGraw-Hill Education – Europe | 2009 | 930 | 005.1 | |
Abstract: For almost three decades, Roger Pressman’s Software Engineering: A Practitioner’s Approach has been the world’s leading textbook in software engineering. The new seventh edition represents a major restructuring and update of previous editions, solidifying the book’s position as the most comprehensive guide to this important subject.The seventh edition of Software Engineering: A Practitioner’s Approach has been designed to consolidate and restructure the content introduced over the past two editions of the book. The chapter structure will return to a more linear presentation of software engineering topics with a direct emphasis on the major activities that are part of a generic software process. Content will focus on widely used software engineering methods and will de-emphasize or completely eliminate discussion of secondary methods, tools and techniques. The intent is to provide a more targeted, prescriptive, and focused approach, while attempting to maintain SEPA’s reputation as a comprehensive guide to software engineering.The book will be organized in five (5) parts-Process, Modeling, Quality Management, Project Management, and Advanced Topics. The chapter count will remain at 32, unchanged from the sixth edition. However, eight new chapters have been developed and another six chapters have undergone major or moderate revisions. The remaining chapters have undergone minor edits/updates. | 20 | Cryptography and Network Security: Principles and Practice, Global Edition, 7th Edition | William Stallings | Pearson Education | 2016 | 767 | 005.82 | |
Abstract: For courses in Cryptography, Computer Security, and Network Security The Principles and Practice of Cryptography and Network Security Stallings’ Cryptography and Network Security introduces students to the compelling and evolving field of cryptography and network security. In an age of viruses and hackers, electronic eavesdropping, and electronic fraud on a global scale, security is paramount. The purpose of this book is to provide a practical survey of both the principles and practice of cryptography and network security. In the first part of the book, the basic issues to be addressed by a network security capability are explored by providing a tutorial and survey of cryptography and network security technology. The latter part of the book deals with the practice of network security: practical applications that have been implemented and are in use to provide network security. This edition streamlines subject matter with new and updated material – including Sage, one of the most important features of the book. Sage is an open-source, multiplatform, freeware package that implements a very powerful, flexible, and easily learned mathematics and computer algebra system. It provides hands-on experience with cryptographic algorithms and supporting homework assignments. With Sage, students learn a powerful tool that can be used for virtually any mathematical application. The book also provides an unparalleled degree of support for instructors and students to ensure a successful teaching and learning experience. | 21 | The Basics of Hacking and Penetration Testing: Ethical Hacking and Penetration Testing Made Easy | Patrick Engebretson | Syngress Media,U.S. | 2011 | 178 | 005.8 | |
Abstract: The Basics of Hacking and Penetration Testing serves as an introduction to the steps required to complete a penetration test or perform an ethical hack from beginning to end. This book makes ethical hacking and penetration testing easy – no prior hacking experience is required. It shows how to properly utilize and interpret the results of the modern-day hacking tools required to complete a penetration test. With a simple and clean explanation of how to effectively utilize these tools – as well as the introduction to a four-step methodology for conducting a penetration test or hack – the book provides students with the know-how required to jump start their careers and gain a better understanding of offensive security. The book is organized into 7 chapters that cover hacking tools such as Backtrack Linux, Google reconnaissance, MetaGooFil, dig, Nmap, Nessus, Metasploit, Fast Track Autopwn, Netcat, and Hacker Defender rootkit. Each chapter contains hands-on examples and exercises that are designed to teach learners how to interpret results and utilize those results in later phases. PowerPoint slides are available for use in class. This book is an ideal reference for security consultants, beginning InfoSec professionals, and students. | 22 | Computers as Components: Principles of Embedded Computing System Design, 4th Edition | Marilyn Wolf | Elsevier Science & Technology | 2016 | 584 | 621.39 | |
| Abstract: Computers as Components: Principles of Embedded Computing System Design, Fourth Edition, continues to focus on foundational content in embedded systems technology and design while introducing new content on security and safety, the design of Internet-of-Things devices and systems, and wireless communications standards like Bluetooth® and ZigBee®. Uses real processors to demonstrate both technology and techniques Shows readers how to apply principles to actual design practice Stresses necessary fundamentals that can be applied to evolving technologies and helps readers gain facility to design large, complex embedded systems Covers the design of Internet-of-Things (IoT) devices and systems, including applications, devices, and communication systems and databases Introduces concepts of safety and security in embedded systems Includes new chapter on Automotive and Aerospace Systems Describes wireless communication standards such as Bluetooth® and ZigBee® |
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| 23 | Statistical Machine Translation | Philipp Koehn | Cambridge University Press | 2009 | 447 | 418.020285 | |
| Abstract: The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject’s building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation. | |||||||
| 24 | Deep Learning for Computer Vision with Python (1st Edition) | Dr. Adrian Rosebrock | Adrian Rosebrock | 2017 | 323 | 006.31 | |
| Abstract: Welcome to Deep Learning for Computer Vision with Python. This book is your guide to mastering deep learning applied to practical, real-world computer vision problems utilizing the Python programming language and the Keras + mxnet libraries. Inside this book, you’ll learn how to apply deep learning to take-on projects such as image classification, object detection, training networks on large-scale datasets, and much more. Deep Learning for Computer Vision with Python strives to be the perfect balance between theory taught in a classroom/textbook and the actual hands-on knowledge you’ll need to be successful in the real world.. To accomplish this goal, you’ll learn in a practical, applied manner by training networks on your own custom datasets and even competing in challenging state-of-the-art image classification challenges and competitions. By the time you finish this book, you’ll be well equipped to apply deep learning to your own projects. And with enough practice, I have no doubt that you’ll be able to leverage your newly gained knowledge to find a job in the deep learning space, become a deep learning for computer vision consultant/contractor, or even start your own computer vision-based company that leverages deep learning. | |||||||
| 25 | Recommender Systems: The Textbook | Charu C. Aggarwal | Springer International Publish | 2018 | 518 | 006.3 | |
| Abstract: This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors. | |||||||
| 26 | A Student’s Guide to Bayesian Statistics | Ben Lambert | SAGE Publications | 2018 | 674 | 519.542 | |
| Abstract: Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inferenceUnderstanding Bayes’ rule Nuts and bolts of Bayesian analytic methodsComputational Bayes and real-world Bayesian analysisRegression analysis and hierarchical methods This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses. | |||||||
| 27 | Fundamentals of Python: Data Structures | Kenneth A. Lambert | Cengage Learning | 2014 | 196 | 006.76 | |
| Abstract: Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Python programming language. The level of instruction assumes at least one semester of programming in an object-oriented language such as Java, C++, or Python. Through the step-by-step instruction and exercises in this book, you’ll cover such topics as the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of the space/time tradeoffs of different collection implementations (specifically array-based implementations and link-based implementations). Collections covered include sets, lists, stacks, queues, trees, dictionaries, and graphs. Get ready to dig into Python data structures with FUNDAMENTALS OF PYTHON: DATA STRUCTURES. | |||||||
| 28 | Software Testing: A Craftsman’s Approach, Fourth Edition | Paul C. Jorgensen | Taylor & Francis Ltd | 2013 | 494 | 005.14 | |
| Abstract: This updated and reorganized fourth edition of Software Testing: A Craftsman’s Approach applies the strong mathematics content of previous editions to a coherent treatment of Model-Based Testing for both code-based (structural) and specification-based (functional) testing. These techniques are extended from the usual unit testing discussions to full coverage of less understood levels integration and system testing.? The Fourth Edition: Emphasizes technical inspections and is supplemented by an appendix with a full package of documents required for a sample Use Case technical inspectionIntroduces an innovative approach that merges the Event-Driven Petri Nets from the earlier editions with the “Swim Lane” concept from the Unified Modeling Language (UML) that permits model-based testing for four levels of interaction among constituents in a System of SystemsIntroduces model-based development and provides an explanation of how to conduct testing within model-based development environments Presents a new section on methods for testing software in an Agile programming environment Explores test-driven development, reexamines all-pairs testing, and explains the four contexts of software testing Thoroughly revised and updated, Software Testing: A Craftsman’s Approach, Fourth Edition is sure to become a standard reference for those who need to stay up to date with evolving technologies in software testing. Carrying on the tradition of previous editions, it will continue to serve as a valuable reference for software testers, developers, and engineers. | |||||||
| 29 | The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects | Elad Elrom | APress | 2019 | 513 | 005.754 | |
| Abstract: Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger. This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn tips to start your own project, and best practices for testing, security, and even compliance. Immerse yourself in this technology and review key topics such as cryptoeconomics, coding your own Blockchain P2P network, different consensus mechanisms, decentralized ledger, mining, wallets, blocks, and transactions. Additionally, this book provides you with hands-on practical tools and examples for creating smart contracts and dApps for different blockchains such as Ethereum, NEO, EOS, and Hyperledger. Aided by practical, real-world coding examples, you’ll see how to build dApps with Angular utilizing typescript from start to finish, connect to the blockchain network locally on a test network, and publish on the production mainnet environment. Don’t be left out of the next technology revolution – become a Blockchain developer using The Blockchain Developer today. | |||||||
| 30 | Getting Started with Open Source Technologies: Applying Open Source Technologies with Projects and Real Use Cases | Sachin Rathee, Amol Chobe | APress | 2022 | 194 | 005.3 | |
| Abstract: Using real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies.After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we’ll examine its ongoing security aspects. This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. | |||||||
| 31 | Information Technology Project Management. 9th edition | Kathy Schwalbe | Cengage Learning, Inc | 2018 | 672 | 658.4040286 | |
| Abstract: Develop a strong understanding of IT project management as you learn to apply today’s most effective project management tools and techniques with the unique approach found in Schwalbe’s INFORMATION TECHNOLOGY PROJECT MANAGEMENT, 9E. Examine the latest developments and skills as you prepare for the Project Management Professional (PMP) or Certified Associate in Project Management (CAPM) exams. This edition reflects content from the latest PMBOK? Guide, 6E and the Agile Practice Guide while providing a meaningful context. Examples from familiar companies featured in today’s news discussion, exercises and cases reinforce learning. Time-saving template files assist in completing tasks. Agile information, a guide to using Microsoft Project 2016 and MindTap online resources will help you master today’s most marketable IT project management skills. | |||||||
| 32 | Computer Networks. 5th edition | Andrew S. Tanenbaum, David Wetherall | Pearson Education | 2011 | 960 | 004.6 | |
| Abstract: Appropriate for Computer Networking or Introduction to Networking courses at both the undergraduate and graduate level in Computer Science, Electrical Engineering, CIS, MIS, and Business Departments. Tanenbaum takes a structured approach to explaining how networks work from the inside out. He starts with an explanation of the physical layer of networking, computer hardware and transmission systems; then works his way up to network applications. Tanenbaum’s in-depth application coverage includes email; the domain name system; the World Wide Web (both client- and server-side); and multimedia (including voice over IP, Internet radio video on demand, video conferencing, and streaming media. Each chapter follows a consistent approach: Tanenbaum presents key principles, then illustrates them utilising real-world example networks that run through the entire book-the Internet, and wireless networks, including Wireless LANs, broadband wireless and Bluetooth. . | |||||||
| 33 | Entrepreneurship: Successfully Launching New Ventures, 5th Edition | Bruce R Barringer, R. Duane Ireland | Pearson Education | 2015 | 596 | 338.04 | |
| Abstract: For courses in entrepreneurship. A Comprehensive Guide to Business Ventures Successfully Launching New Ventures explores the allure of entrepreneurship, teaching students how to successfully start their own businesses. With real business profiles of inspiring young entrepreneurs, the text engages students through relevant examples they can easily relate to. The Fifth Edition examines entrepreneurship through an easy, four-step process that clearly outlines both the excitement and the difficulty of launching one’s own business. Careful to identify failures as well as successes, Successfully Launching New Ventures is a straightforward guide to starting one’s own business. Also Available with MyEntrepreneurshipLabTMThis title is available with MyEntrepreneurshipLab-an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts. | |||||||
| 34 | Big Data Management. 1st ed | Fausto Pedro García Márquez, Benjamin Lev | Springer International Publish | 2017 | 267 | 005.7 | |
| Abstract: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples. | |||||||
| 35 | Fast-Tracking Your Career: Soft Skills for Engineering and IT Professionals | Wushow “Bill” Chou | John Wiley & Sons Inc | 2013 | 192 | 620.0023 | |
| Abstract: Fast-Tracking Your Career provides engineers and IT professionals with a complete set of soft skills they can use to become more effective on the job and gain recognition from management and colleagues. The 11 core skills covered here are accompanied by more than 40 detailed guidelines on how to master those skills. The book offers first-rate advice on how to go about acquiring communication skills, people skills, presentation skills, time management skills, and others. Specific examples about current situations are discussed, exploring the impact of the Facebook phenomenon and the subprime mortgage crisis. | |||||||
| 36 | Knowledge-Based Systems | Rajendra Akerkar, Priti Sajja | Jones and Bartlett Publishers | 2009 | 354 | 006.33 | |
| Abstract: A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems. | |||||||
