School of Information Technology

Learning Analytics Methods and Tutorials : A Practical Guide Using R Includes methodological guidance in learning analytics. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. Chapters include predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models.

Chocolate Elephant Part 1 : Business Process Management and IT Service Management Putting IT 1st and the business 2nd is putting the cart before the horse. In most organisations, there seems to be a disconnect between the business and IT, and in some regards, IT is looked on as the silver bullet that can be used to resolve all problems and issues. This has occurred due to IT becoming so embedded in organisations and being required for the execution of most business processes. It should be noted that IT is a tool used to enable the execution of a business process. It is an important tool, but nonetheless, it is only a tool. Organisations need to shift the focus back to the business and ensure that the technology they are using fits in with the requirements of their business processes. This will ensure that businesses become more efficient and effective and that they are only using and being supported for the technology that they require.

Acceptance and Usage of Technology Through the Digital User Experience The contemporary world is characterized by the massive use of digital communication platforms and services that allow people to stay in touch with each other and their organizations. Despite a great deal of investigation, digital transformation and its impact on consumer behaviour still require exploration. Includes dealing with the online consumer on social media and in the era of Web 4.0, customer experience, customer empowerment, resistance, influencer marketing, and trust.

Doing Digital: The Guide to Digital for Non-Technical Leaders Every business is a digital business and understanding digital is probably the most critical skill of the decade. This book gives both a conceptual framework to understand digital, as well as an execution model (Connect-Quantify-Optimize) to actually do digital, in a simple and engaging way.

Demystifying Graph Data Science : Graph Algorithms, Analytics Methods, Platforms, Databases, and Use Cases With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data.

Python Tools for Data Scientists Pocket Primer Exposure to features of Numpy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. Some topics are presented in a cursory manner.

Object-Oriented Analysis and Design for Information Systems Explains real object-oriented programming in practice with concepts such as object responsibility, visibility, and the real need for delegation in detail, how to build meaningful sequence diagrams, organizational patterns so that your software architecture will be maintainable. Includes agile software development, Scrum software project management, BPMN diagrams, user stories, and Python code examples.

Introduction to Computer Science by Motopeda Oluyide This text is a comprehensive guide to the basic principles and concepts of computer science. The book covers a wide range of topics, from computer hardware and software to programming languages and algorithms. It is written to provide readers with a solid foundation in computer science, regardless of their background or level of experience. The book is an excellent resource for anyone interested in learning about the field of computer science, including students, professionals, and hobbyists.

Python QuickStart Guide by Robert Oliver The Ultimate Beginner's Guide to Learning Python! **Includes FREE Digital Bonuses! GitHub Repository, Cheat Sheets, and More!** Learn Why QuickStart Guides are Loved by Over 1 Million Readers Around the World Learn Python fundamentals that can be used in any programming setting - use the guidance in this book to program your own game in a unique and practical Python learning experience. The Easiest Way to Learn Python in a Comprehensive, Step-by-Step Guide From AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology. Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals. Written by a Programming Expert with Over 20 Years of Experience Distilling his experience drawn from over two decades of working with Python and other programming languages, Robert's clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer. It doesn't matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python--Robert's step-by-step approach, complete with a hands-on companion Python video game project, is the perfect starting point to master Python fundamentals! Python QuickStart Guide is Perfect for: New or experienced programmers looking to enhance their career opportunities with an in-demand programming language Job seekers who want to supercharge their resumes and increase their value in the job marketplace Students or recent college grads who have their sights set on a lucrative position in the tech industry Full stack developers or programmers who need to round out their programming skills to take on new projects Anyone who wants to explore the world of programming, use Python to automate tedious tasks, or enhance their resume and future-proof their skills! With Python QuickStart Guide, You'll Easily Understand These Crucial Concepts: How to Use Python - Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game! Python Fundamentals - How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other Applications Object-Oriented Programming Principles - Managing Data, Scripts, Logic, Inputs, Outputs, and More! Programming Essentials - Debugging, Producing Clean Code, Best Practices, Time-Savers, and Tips Python Next Steps -Testing, Optimization, Speed Improvements, and More! Go Beyond the Book with Exclusive QuickClips Videos Look for QuickClips QR codes when reading this book. Scan to access exclusive videos directly from the author at key points to enhance your learning and go beyond the book! **LIFETIME ACCESS TO FREE BONUS RESOURCES** Python QuickStart Guide comes with lifetime access to FREE digital resources you can access from inside the book! Each of these bonuses is crafted with our expert author to help you become a better programmer including: GitHub Code Repository Regular Expressions Cheat Sheet Python resource library and more!

Definitive Guide to Modernizing Applications on Google Cloud: The What, Why, and How of Application Modernization on Google Cloud Tools, services, and functions needed for application migration from legacy applications to cloud-native on Google Cloud. Includes how to apply application modernization techniques and tooling, cases and instructions to modernize an application on Google Cloud, legacy applications, which comprise 75-80% of all enterprise applications, scale legacies in a cloud environment without taking months or years to start seeing the benefits, how software developers and solutions architects can modernize their applications on Google Cloud and transform them into cloud-native applications, enterprise application development (six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining)

Practical Design Patterns for Java Developers by Miroslav Wengner; Bruno Souza (Foreword by) Unravel the power of Java design patterns by learning where to apply them effectively to solve specific software design and development problems Key Features Decouple logic across objects with dependency injection by creating various vehicles with features Finalize vehicle construction by chaining handlers using the Chain of Responsibility Pattern Plan and execute an advanced vehicle sensor initiation with the Scheduler Pattern Book Description Design patterns are proven solutions to standard problems in software design and development, allowing you to create reusable, flexible, and maintainable code. This book enables you to upskill by understanding popular patterns to evolve into a proficient software developer. You'll start by exploring the Java platform to understand and implement design patterns. Then, using various examples, you'll create different types of vehicles or their parts to enable clarity in design pattern thinking, along with developing new vehicle instances using dedicated design patterns to make the process consistent. As you progress, you'll find out how to extend vehicle functionalities and keep the code base structure and behavior clean and shiny. Concurrency plays an important role in application design, and you'll learn how to employ a such design patterns with the visualization of thread interaction. The concluding chapters will help you identify and understand anti-pattern utilization in the early stages of development to address refactoring smoothly. The book covers the use of Java 17+ features such as pattern matching, switch cases, and instances of enhancements to enable productivity. By the end of this book, you'll have gained practical knowledge of design patterns in Java and be able to apply them to address common design problems. What you will learn Understand the most common problems that can be solved using Java design patterns Uncover Java building elements, their usages, and concurrency possibilities Optimize a vehicle memory footprint with the Flyweight Pattern Explore one-to-many relations between instances with the observer pattern Discover how to route vehicle messages by using the visitor pattern Utilize and control vehicle resources with the thread-pool pattern Understand the penalties caused by anti-patterns in software design Who this book is for If you are an intermediate-level Java developer or software architect looking to learn the practical implementation of software design patterns in Java, then this book is for you. No prior knowledge of design patterns is required, but an understanding of Java programming is necessary.

Large Language Models in Cybersecurity : Threats, Exposure and Mitigation Understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do; alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. Includes a general introduction to LLMs and their main application areas, description of the most salient threats LLMs represent in cybersecurity (tools for cybercriminals or as novel attack surfaces), forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs, mitigation techniques that should allow safe and secure development and deployment of LLMs, secure design and integration of LLMs might look like.

Trends in Data Protection and Encryption Technologies Provides an overview of the changing landscape of encryption and data protection technologies and their global usage trends. In 2022, the Swiss Confederation tasked the Cyber-Defence Campus (CYD Campus) to identify the 38 most relevant encryption and data protection technologies, analyze their expected evolution until 2025, and derive implications for the military, civil society, and economy sectors. The 38 technologies have been sorted into five categories: encryption foundations represent the technologies used to create other encryption applications; low-level applications represent the technologies that focus on micro functionalities; high-level applications represent the technologies that focus on more abstract and macro functionalities; data protection represents the technologies used to protect data without encrypting these data; cases represent concrete ways the different technologies can be used together to create a working solution.

CISSP® Study Guide Vendor neutral exam for information security professionals

Database Security: Problems and Solutions. Describes and demonstrates how to resolve database security issues at the design, implementation, and production phases, such as techniques for account credential management, techniques to manage access to data, as well as techniques to manage the types of access; database normalization, referential integrity, transactions, locks, and check constraints. Includes demonstration and solution implementations on the major Database Management Systems (MySQL, Oracle, and Microsoft SQL Server) and computing platforms (Linux/UNIX, MacOS, Windows)

Cybersecurity for Critical Infrastructure Protection Via Reflection of Industrial Control Systems Unlike traditional information and communication systems, the priority goal of the cybersecurity of cyber-physical systems is the provision of stable and reliable operation for the critical infrastructures of all fundamental societal functions and activities. Includes the growth in large-scale cyber attacks, the rising degree of complexity and sophistication of advanced threats, and the need to protect critical infrastructure by promoting and building a resilient system to promote the well-being of all citizens.

Technology And (Dis)Empowerment : a call to technologists The complex relationship between technology and social outcomes is well known and has recently seen significant attention due to the deepening of technology use in many domains. This includes issues such as the reproduction of inequality due to the digital divide, threats to democracy due to misinformation propagated through social networking platforms, algorithmic biases that can perpetuate structural injustices, hardships caused to citizens due to misplaced assumptions about the gains expected from the use of information technology in government processes, and simplistic beliefs that technology can easily lead to social development. This timely work draws attention to the varying factors by which technology often leads to disempowerment effects. This calls to technologists to burst the technology optimism bubble, build an ethos for taking greater responsibility in their work, collectivize to similarly shape the internal governance of their organizations, and engage with the rest of society to strengthen democracy and build an acceptance that the primary goal of technology projects should be to bring equality by overturning unjust societal structures.

The Art of Cyber Security: A Practical Guide to Winning the War on Cyber Crime Explore the work of Sun Tzu's The Art of War by analysing key sections through the lens of cyber security and data protection to derive how his teachings can be used within the cyber security industry.

Intelligent Secure Trustable Things Provides an overview of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Discusses smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health; how to develop trustworthy, ethical AI systems.

Internet of Things: Architectures for Enhanced Living Environments Topics, include AI for enhanced living environments, human behavioral anomaly pattern mining within an IoT environment, indoor activity localization technologies for assisted living, smart indoor air quality monitoring for enhanced living environments, usability evaluation, roadmap to the elderly enhanced living and care environments

Security and Privacy Issues in Internet of Medical Things Addresses the security challenges faced by healthcare providers and patients. IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting.

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era Investigates the interaction and growing interdependency of the HCI and AI field based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications, "Wizard of Oz" prototyping and "Thinking aloud" protocols, education systems, smart homes, smart healthcare

Threshold by Heather Suzanne Woods An urgent and cautionary examination of the totalizing effect of smart home technology on the lives of those who live in them--and those who don't Smart homes are here--domestic spaces bristling with networked technologies that appear to enhance work, entertainment, logistics, health, and security. But these technologies may also extract a cost in attention, money, and privacy. In Threshold, communication and technology expert Heather Suzanne Woods applies rhetorical theory to answer the urgent question of how swiftly proliferating smart homes alter those who inhabit them. Building on extensive research into smart homes in the United States, Woods recounts how smart homes arose and predicts the trajectory of their future form. She pulls back the curtain on the technology, probes who is in control, and questions whether a home can be too smart. She reveals how smart homes incentivize ubiquitous computing as a daily practice, priming smart home occupants for permanent transactional existence largely controlled by corporate interests. Woods suggests a dynamic cultural framework for understanding smart homes that takes into account sociotechnical variables such as gender, class, income, race, criminal justice, and more through which smart homes shape human life. Woods's framework reveals how smart homes both reflect social norms about technology as well as whet consumer appetites for an ever more totalizing relationship with technology. She argues that this progression leads to "living in digitality," a cultural state of constant use and reliance on technology. Written for homeowners, policymakers, technology enthusiasts, and scholars, Threshold interweaves meticulously researched critical analysis with matter-of-fact graphics that map relationships between digital tools and social life. Readers will appreciate this bracing assessment of smart technologies that empowers smart home users to make informed decisions about their dwellings.