Prepare for success on the 2024 CISA exam and further your career in security and audit with this effective study guide
The CISA Certified Information Systems Auditor Study Guide: Covers 2024-2029 Exam Objectives provides comprehensive and accessible test preparation material for the updated CISA exam, which now consists of 150 questions testing knowledge and ability on real-life job practices leveraged by expert professionals.
You'll efficiently and effectively prepare for the exam with online practice tests and flashcards as well as a digital glossary. The concise and easy-to-follow instruction contained in the 2024-2029 CISA Study Guide covers every aspect of the exam. This study guide helps readers prepare for questions across the five domains on the test: Information System Auditing Process; Governance and Management of IT; Information Systems Acquisition, Development, and Implementation; Information Systems Operation and Business Resilience; and Protection of Information Assets.
This study guide shows readers how to:
The CISA Certified Systems Auditor Study Guide: Covers 2024-2029 Exam Objectives is an essential learning resource for all students and professionals preparing for the 2024 version of the CISA exam from ISACA.
Give your students an understanding of the most important topics in embedded systems design using a coherent, compelling and hands-on approach.
Now in its 2nd edition, this textbook has been updated on a new development board from STMicroelectronics - the Arm Cortex-M0+ based Nucleo-F091RC. Designed to be used in a one- or two-semester introductory course on embedded systems, the textbook covers fundamental topics including the CPU, interrupt systems, peripherals, serial communication and multi-tasking. Software examples in this textbook are written in C and the free version of Arm's Keil MDK-ARM integrated development environment is used throughout the materials.
Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
- Examine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and more
- Discover modern causal inference techniques for average and heterogenous treatment effect estimation
- Explore and leverage traditional and modern causal discovery methods
Book Description
Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.
You'll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you'll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you'll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You'll further explore the mechanics of how causes leave traces and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.
By the end of this book, you will be able to build your own models for causal inference and discovery using statistical and machine learning techniques as well as perform basic project assessment.
What you will learn
- Master the fundamental concepts of causal inference
- Decipher the mysteries of structural causal models
- Unleash the power of the 4-step causal inference process in Python
- Explore advanced uplift modeling techniques
- Unlock the secrets of modern causal discovery using Python
- Use causal inference for social impact and community benefit
Who this book is for
This book is for machine learning engineers, researchers, and data scientists looking to extend their toolkit and explore causal machine learning. It will also help people who've worked with causality using other programming languages and now want to switch to Python, those who worked with traditional causal inference and want to learn about causal machine learning, and tech-savvy entrepreneurs who want to go beyond the limitations of traditional ML. You are expected to have basic knowledge of Python and Python scientific libraries along with knowledge of basic probability and statistics.
Table of Contents
- Causality - Hey, We Have Machine Learning, So Why Even Bother?
- Judea Pearl and the Ladder of Causation
- Regression, Observations, and Interventions
- Graphical Models
- Forks, Chains, and Immoralities
- Nodes, Edges, and Statistical (In)dependence
- The Four-Step Process of Causal Inference
- Causal Models - Assumptions and Challenges
- Causal Inference and Machine Learning - from Matching to Meta- Learners
- Causal Inference and Machine Learning - Advanced Estimators, Experiments, Evaluations, and More
- Causal Inference and Machine Learning - Deep Learning, NLP, and Beyond
- Can I Have a Causal Graph, Please?
(N.B. Please use the Read Sample option to see further chapters)
This textbook introduces readers to digital signal processing fundamentals using low-cost, high-performance Arm Cortex-M based microcontrollers as demonstrator platforms. It covers foundational concepts, principles and techniques in digital signal processing, such as signals and systems, sampling, reconstruction and anti-aliasing, FIR and IIR filter design, transforms, and adaptive signal processing. Key features include a set of hands-on labs that highlight the practical side of digital signal processing, end of chapter exercises that reinforce the theoretical concepts presented, with answers available online, and online instructor resources.
The textbook is suitable for use in ECE, EE and CS university departments. The labs in this textbook edition target the low-cost Arm Cortex-M4-based STM32F4 Discovery microcontroller board.
Arduino Without Prior Knowledge - Create your own first project within seven days
Two in One: You will receive the eBook in PDF format free of charge when you buy the paperback or Kindle version!
Would you like to understand electrical circuits and be able to program your own microcontroller?
No problem - with the help of this beginner's guide, you will be able to understand the basic of the Arduino platform in no time at all.
This guide covers the basics of hard and software! Real practical examples and small exercises alongside the text help you understand.
With the help of this beginner's guide, many satisfied readers have already been able to get into the subject and expand their own skills - see for yourself!
Advantages of this book:
What the book contains:
Do not hesitate any longer - order the guide now, and soon you will understand the basics of the Arduino platform!
Digital Logic with an Introduction to Verilog and FPGA-Based Design provides basic knowledge of field programmable gate array (FPGA) design and implementation using Verilog, a hardware description language (HDL) commonly used in the design and verification of digital circuits. Emphasizing fundamental principles, this student-friendly textbook is an ideal resource for introductory digital logic courses. Chapters offer clear explanations of key concepts and step-by-step procedures that illustrate the real-world application of FPGA-based design.
Designed for beginning students familiar with DC circuits and the C programming language, the text begins by describing of basic terminologies and essential concepts of digital integrated circuits using transistors. Subsequent chapters cover device level and logic level design in detail, including combinational and sequential circuits used in the design of microcontrollers and microprocessors. Topics include Boolean algebra and functions, analysis and design of sequential circuits using logic gates, FPGA-based implementation using CAD software tools, and combinational logic design using various HDLs with focus on Verilog.
Package consists of:
MasteringEngineering should only be purchased when required by an instructor.
For courses in Computer Science and Programming
Computer systems: A Programmer's Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer's perspective, this book strives to teach readers how understanding basic elements of computer systems and executing real practice can lead them to create better programs.
Spanning across computer science themes such as hardware architecture, the operating system, and systems software, the Third Edition serves as a comprehensive introduction to programming. This book strives to create programmers who understand all elements of computer systems and will be able to engage in any application of the field--from fixing faulty software, to writing more capable programs, to avoiding common flaws. It lays the groundwork for readers to delve into more intensive topics such as computer architecture, embedded systems, and cybersecurity.
This book focuses on systems that execute an x86-64 machine code, and recommends that programmers have access to a Linux system for this course. Programmers should have basic familiarity with C or C++.
Also available with MasteringEngineering
MasteringEngineering is an online homework, tutorial, and assessment system, designed to improve results through personalized learning. This innovative online program emulates the instructor's office hour environment, engaging and guiding students through engineering concepts with self-paced individualized coaching With a wide range of activities available, students can actively learn, understand, and retain even the most difficult concepts.
Students, if interested in purchasing this title with MasteringEngineering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
Magnetic Core Memory Decoded is a detailed work describing the operation and development of a magnetic core memory system of the type originally implemented in the 1940's through to the 1960's.
Core memory was a major stepping stone in the development of modern digital computer systems and is a fascinating technology which encompasses many engineering disciplines.
A full explanation of the technology is provided from the basics of magnetic core flux responses through the design and implementation of circuits required to create a fully functional memory system.
The system presented in this book is a non-trivial design and while it is relatively small in terms of its storage capacity it is still large enough to give the reader a full account of the technology and the amazing secrets of this technology.
This book is a must for anyone interested in the history of computing or is simply interested in the development of engineering technology.
Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of digital signal processing (DSP) while also providing a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers.
This book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as pulse-code modulation, -law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks.Microcontrollers are embedded into larger systems to provide benefits such as better performance, more features, better efficiency, lower costs and better dependability. This textbook introduces students to creating microcontroller-based embedded systems featuring an ARM Cortex-M CPU core.
Chapter 1 introduces students to the concepts of MCU-based embedded systems, and how they differ from general-purpose computers. It then introduces the ARM Cortex-M0+ CPU, the Kinetis KL25Z MCU, and the low cost FRDM-KL25Z MCU development board.
Chapter 2 presents the general purpose I/O peripheral to provide an early, hands-on experience with reading switches and lighting LEDs using C code. It also introduces the CMSIS hardware abstraction layer, which simplifies software access to peripherals.
Chapter 3 introduces multitasking on the CPU, with the goals of improving responsiveness and software modularity while reducing CPU overhead. The interplay of interrupts, peripherals and schedulers (both cooperative and preemptive) is examined.
Chapter 4 presents the ARM Cortex-M0+ processor core, including organization, registers, memory, and instruction set. It then discusses interrupts and exceptions, including CPU response and hardware configuration. Designing software for a system with interrupts is discussed, including program design (including partitioning work), interrupt configuration, writing handlers in C, and sharing data safely given preemption.
Chapter 5 first gives an overview of tool-chain which translates a program from C source code to executable object code. It then shows side-by-side the source code and the object code the tool-chain has generated to implement it. Topics covered include functions, arguments, return values, activation records, exception handlers, control flow constructs for loops and selection, memory allocation and use, and accessing data in memory.
Chapter 6 presents analog interfacing, starting with theory and ending with practical implementations. Quantization and sampling are presented as a foundation for digital to analog conversion, and analog to digital conversion. The DAC, ADC and analog comparator peripherals are presented and used.
Chapter 7 presents timer peripherals and their use for generating a periodic interrupt or a pulse-width modulated signal, or for measuring elapsed time or a signal's frequency. Watchdog timers, used to detect and reset an out-of-control program, are also discussed. The SysTick, PIT, TPM and COP timers are examined.
Chapter 8 discusses serial communications, starting with the fundamentals of data serialization, framing, error detection, media access control and addressing. Software queues are introduced to show how to buffer data between communication ISRs and other parts of the program. Three protocols and their supporting peripherals are investigated next: SPI, asynchronous serial (UART) and I2C. UART communication is demonstrated using the FRDM-KL25Z's debug MCU as a serial port bridge over USB to the PC. I2C communication is demonstrated using the FRDM-KL25Z's built-in 3 axis accelerometer with I2C interface.
Chapter 9 introduces the direct memory access peripheral and its ability to transfer data autonomously, offloading work from the CPU and offering dramatically improved performance. Examples include using DMA for bulk data copying, and for DAC-based analog waveform generation with precise timing.
An appendix covers how to measure the power and energy use on the FRDM-KL25Z board, including disconnecting the debug MCU to reduce power. Energy measurement using an ultracapacitor is also presented.
For use in ECE, EE, and CS departments.
In Making Things Move: DIY Mechanisms for Inventors, Hobbyists, and Artists, you'll learn how to successfully build moving mechanisms through non-technical explanations, examples, and do-it-yourself projects--from kinetic art installations to creative toys to energy-harvesting devices. Photographs, illustrations, screen shots, and images of 3D models are included for each project.
This unique resource emphasizes using off-the-shelf components, readily available materials, and accessible fabrication techniques. Simple projects give you hands-on practice applying the skills covered in each chapter, and more complex projects at the end of the book incorporate topics from multiple chapters. Turn your imaginative ideas into reality with help from this practical, inventive guide.
Discover how to:
Projects include:
Make Great Stuff
TAB, an imprint of McGraw-Hill Professional, is a leading publisher of DIY technology books for makers, hackers, and electronics hobbyists.
Prepare for success on the IAPP CIPP/US exam and further your career in privacy with this effective study guide - now includes a downloadable supplement to get you up to date on the current CIPP exam for 2024-2025!
Information privacy has become a critical and central concern for small and large businesses across the United States. At the same time, the demand for talented professionals able to navigate the increasingly complex web of legislation and regulation regarding privacy continues to increase.
Written from the ground up to prepare you for the United States version of the Certified Information Privacy Professional (CIPP) exam, Sybex's IAPP CIPP/US Certified Information Privacy Professional Study Guide also readies you for success in the rapidly growing privacy field.
You'll efficiently and effectively prepare for the exam with online practice tests and flashcards as well as a digital glossary. The concise and easy-to-follow instruction contained in the IAPP/CIPP Study Guide covers every aspect of the CIPP/US exam, including the legal environment, regulatory enforcement, information management, private sector data collection, law enforcement and national security, workplace privacy and state privacy law, and international privacy regulation.
Perfect for anyone considering a career in privacy or preparing to tackle the challenging IAPP CIPP exam as the next step to advance an existing privacy role, the IAPP CIPP/US Certified Information Privacy Professional Study Guide offers you an invaluable head start for success on the exam and in your career as an in-demand privacy professional.
Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible-clarity is given priority over mathematical formalism. This easily digestible text:
Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.
In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information.
The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque ( cole de technologie sup rieure ( TS), Universit du Qu bec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).