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Free Download Udemy - Brain Computer Interfaces, Neural Engineering, NeuroRobotics Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 31m | Size: 1.94 GB Fundamentals of Neural Recording, Neural Stimulation, and Closed-Loop Brain-Computer Interfaces for Robotic Applications What you'll learn Learning objectives are listed categorically as software/hardware expertise, quantitative skills, critical thinking, biology knowledge, and scientific literacy Software: filter noisy biological signals Software: extract features from neuromuscular waveforms Software: decode information from neural and electromyographic recordings Software: implement an artificial neural network in MATLAB for real-time control Software: control a robotic hand in real-time using biological recordings Software: implement real-time bioinspired haptic feedback Software: develop real-time functional electrical stimulation for assistive and rehabilitative tech Hardware: describe how to implement various electrophysiology techniques (e.g., space clamp, voltage clamp) and what they are used for Hardware: describe the principles of safe and effective neurostimulation Hardware: sketch various stimulation waveforms Hardware: describe chemical reactions for electrically exciting neurons Hardware: explain the pros and cons of various materials as neurostimulation electrodes Hardware: record electromyographic signals from the surface of the body Quantitative: model neurons as electrical circuits Quantitative: quantify ion and voltage changes during action potentials Quantitative: quantify spatiotemporal changes in electrical activity throughout neurons Quantitative: perform a safety analysis of neurostimulation Quantitative: measure how changes in neuron morphology (e.g., length, diameter) impact spatiotemporal changes in electrical activity Quantitative: measure how changes in neuron electrical properties (e.g., capacitance, resistance) impact spatiotemporal changes in electrical activity Critical Thinking: explain the characteristics of good training data for neural engineering applications Critical Thinking: describe how artificial neural networks relate to biological neural networks Critical Thinking: explain how artificial neural networks work in the context of neural engineering Critical Thinking: evaluate the performance of a motor-decode algorithm Critical Thinking: interpret physiological responses to neurostimulation Critical Thinking: debug common neurostimulation errors Critical Thinking: debug common electrophysiology errors Critical Thinking: develop novel neuromodulation applications Critical Thinking: critically evaluate brain-computer interface technology Biology: list several applications of neural engineering Biology: identify potential diseases suitable for next-generation neuromodulation applications Biology: draw and explain how biological neural networks transmit information and perform complex tasks Biology: describe the molecular basis of action potentials Biology: summarize the pathway from motor intent to physical movement Biology: explain the neural code for motor actions Biology: sketch various neuromuscular waveforms Biology: describe how biological neural networks encode sensory information Biology: use basic biological principles to guide the development of artificial intelligence Scientific Literacy: summarize the state of the neural engineering field Scientific Literacy: identify future research challenges in the field of neural engineering Scientific Literacy: cite relevant neural engineering manuscripts Scientific Literacy: write 4-page conference proceedings in IEEE format Scientific Literacy: use a reference manager Scientific Literacy: performance basic statistical analyses Requirements There are no Requirements for this course. This course contains OPTIONAL labs that benefit from a background in programming. However, since these labs are optional, programming experience is not required. Description This course will cover tools and applications in the field of Neural Engineering with an emphasis on real-time robotic applications. Neural Engineering is an interdisciplinary field that overlaps with many other areas including neuroanatomy, electrophysiology, circuit theory, electrochemistry, bioelectric field theory, biomedical instrumentation, biomaterials, computational neuroscience, computer science, robotics, human-computer interaction, and neuromuscular rehabilitation. This course is designed around the central idea that Neural Engineering is the study of transferring electromagnetic information into or out of the nervous system. With this framework, the course is divided into three broad segments: neurorecording, neurostimulation and closed-loop neuromodulation. The neurorecording segment includes: invasive and non-invasive recording techniques, signal processing, neural feature extraction, biological and artificial neural networks, and real-time control of robotic devices using neurorecordings. The neurostimulation segment includes: invasive and non-invasive stimulation techniques, signal generation, physiological responses, safety analysis, and real-time stimulation for haptic feedback and for reanimating paralyzed limbs. The closed-loop neuromodulation segment features hands-on student-led projects and a review of various neurotech companies. Example applications include bionic arms controlled by thought that restore a natural sense of touch, or neural-links that can decode a person's thoughts to reanimate a paralyzed limb.The course provides students with fundamental articles from the field and dozens of quizzes for students to assess their understanding and reinforce key concepts. Optional hands-on research projects are also available. Who this course is for Individuals interested in working in the field of brain-computer interfaces, neural engineering, or neurorobotics Students and individuals interested in learning about the upcoming field of brain-computer interfaces Teachers interested in adding curriculum to their institution in the field of neural engineering & neurorobotics Investors interested in understanding basic concepts necessary to confidentially invest in neurotech companies such as Elon Musk's Neuralink Homepage: https://www.udemy.com/course/neurorobotics/ [b]AusFile[/b] https://ausfile.com/ecfzs1p96px4/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part1.rar.html https://ausfile.com/fdctld9isxcz/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part2.rar.html Rapidgator https://rg.to/file/185fb3e9d6b3c1404cb28d22e7afff08/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part1.rar.html https://rg.to/file/bcb50f17fe017c8d77ae15be3326373e/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part2.rar.html Fikper Free Download https://fikper.com/V0WG1ttpHv/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part1.rar.html https://fikper.com/4ZkvVuFJW0/ixlfx.Brain.Computer.Interfaces.Neural.Engineering.NeuroRobotics.part2.rar.html No Password - Links are Interchangeable
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Free Download CBTNuggets - Digital Forensics and Computer Examiner Training Last updated: 12/2024 Taught by Erik Choron MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 117 Lessons ( 10h 24m ) | Size: 13.7 GB This digital forensics training equips investigators to collect, analyze, and report digital evidence of intrusions and security incidents. Learn file recovery, network forensics, and incident response skills that boost any IT resume. Ideal for criminal investigations or cybersecurity pros, this digital forensics skills course is perfect for onboarding new forensic investigators or as a cybersecurity reference resource. What you'll learn Collecting and preserving digital evidence following incidents Analyzing digital devices, systems, and network activities Responding to security incidents, identifying scope, and mitigating damage Ensuring investigations adhere to legal standards and guidelines File recovery, network forensics, and incident response FAQs What is digital forensics and computer examination? Digital forensics and computer examination both deal with investigating and analyzing electronic devices and digital data while searching for evidence of crimes or for private purposes. Digital forensics is mostly about using specialized techniques for recovering, analyzing and then preserving electronic information. Computer examination is more focused on scrutinizing hardware and devices. Both involve identifying and examining digital artifacts like files, logs, and metadata and trying to reconstruct events and establish a timeline of activities. How do I become a digital forensic examiner? Becoming a digital forensic examiner is not an easy path, but it is possible. Like many jobs in IT, it's very difficult to get an entry-level job without experience, but it's nearly impossible to get entry-level experience without a job. The mandatory step in becoming a digital forensic examiner is learning hands-on and applicable skills of the job and getting realistic experience with using them from a course like this. Can you do digital forensics without a degree? It is possible to do digital forensics without a degree, but there's no denying that a bachelors or masters degree in computer sciences is helpful. Some digital forensics positions require a degree - and it'll be hard to persuade them otherwise. But plenty of positions accept certifications, first-hand experience, and portfolios of projects as ways for a candidate to prove their familiarity with the tools and processes of digital forensic examination. Is it worth it to learn digital forensics and computer examination? Yes, learning digital forensics and computer examination is worthwhile, even if you don't plan to pursue it as your career. The skills you'll learn from this course provide a valuable understanding of cybersecurity, data integrity, and investigative techniques. Our world is increasingly digital, understanding digital forensics gives you the ability to protect information while detecting cyber threats. Plus, forensics is fundamentally about analysis and problem-solving, deeply valuable professional skills. What digital forensics and computer examiner certifications are there? There are a number of different certifications that you can earn to help your chances of landing a digital forensics or computer examiner position. The skills in this course cover many of the objectives outlined in the Basic Computer Forensic Examiner (BCFE) & Certified Forensic Computer Examiner (CFCE) certifications from IACIS. Advanced Check Point certifications like the CCSM cover a deep familiarity with their hardware and investigative skills. The Fortinet family of certifications explore increasingly deep levels of familiarity with advanced cybersecurity hardware. And CompTIA's CySA+, CASP+ and PenTest+ all include skills that are essential for digital forensics examiners. Who is this for? This training is considered professional-level digital forensics training, which means it was designed for digital forensic investigators. This digital forensics skills course is designed for digital forensic investigators with three to five years of experience with cybersecurity. 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Free Download Complete Computer Vision Bootcamp With Pytoch & Tensorflow Published: 3/2025 Created by: Krish Naik,Sourangshu Pal,Monal kumar,KRISHAI Technologies Private Limited MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 175 Lectures ( 51h 46m ) | Size: 27.5 GB Learn Computer Vision with CNN, TensorFlow, and PyTorch - Master Object Detection from Basics to Advanced What you'll learn Master CNN concepts from basics to advanced with TensorFlow & PyTorch. Learn object detection models like YOLO and Faster R-CNN. Implement real-world computer vision projects step-by-step. Gain hands-on experience with data preprocessing and augmentation. Build custom CNN models for various computer vision tasks. Master transfer learning with pre-trained models like ResNet and VGG Gain practical skills with TensorFlow and PyTorch libraries Requirements Basic understanding of Python programming. Familiarity with fundamental machine learning concepts. Knowledge of basic linear algebra and calculus. Understanding of image data and its structure. Enthusiasm to learn computer vision with hands-on projects. Description In this comprehensive course, you will master the fundamentals and advanced concepts of computer vision, focusing on Convolutional Neural Networks (CNN) and object detection models using TensorFlow and PyTorch. This course is designed to equip you with the skills required to build robust computer vision applications from scratch.What You Will LearnThroughout this course, you will gain expertise in:Introduction to Computer VisionUnderstanding image data and its structure.Exploring pixel values, channels, and color spaces.Learning about OpenCV for image manipulation and preprocessing.Deep Learning Fundamentals for Computer VisionIntroduction to Neural Networks and Deep Learning concepts.Understanding backpropagation and gradient descent.Key concepts like activation functions, loss functions, and optimization techniques.Convolutional Neural Networks (CNN)Introduction to CNN architecture and its components.Understanding convolution layers, pooling layers, and fully connected layers.Implementing CNN models using TensorFlow and PyTorch.Data Augmentation and PreprocessingTechniques for improving model performance through data augmentation.Using libraries like imgaug, Albumentations, and TensorFlow Data Pipeline.Transfer Learning for Computer VisionUtilizing pre-trained models such as ResNet, VGG, and EfficientNet.Fine-tuning and optimizing transfer learning models.Object Detection ModelsExploring object detection algorithms like:YOLO (You Only Look Once)SSD (Single Shot MultiBox Detector)Faster R-CNNImplementing these models with TensorFlow and PyTorch.Image Segmentation TechniquesUnderstanding semantic and instance segmentation.Implementing U-Net and Mask R-CNN models.Real-World Projects and ApplicationsBuilding practical computer vision projects such as:Face detection and recognition system.Real-time object detection with webcam integration.Image classification pipelines with deployment.Who Should Enroll?This course is ideal for:Beginners looking to start their computer vision journey.Data scientists and ML engineers wanting to expand their skill set.AI practitioners aiming to master object detection models.Researchers exploring computer vision techniques for academic projects.Professionals seeking practical experience in deploying CV models.PrerequisitesBefore enrolling, ensure you have:Basic knowledge of Python programming.Familiarity with fundamental machine learning concepts.Basic understanding of linear algebra and calculus.Hands-on Learning with Real ProjectsThis course emphasizes practical learning through hands-on projects. Each module includes coding exercises, project implementations, and real-world examples to ensure you gain valuable skills.By the end of this course, you will confidently build, train, and deploy computer vision models using TensorFlow and PyTorch. Whether you are a beginner or an experienced practitioner, this course will empower you with the expertise needed to excel in the field of computer vision.Enroll now and take your computer vision skills to the next level! Who this course is for Beginners eager to learn computer vision from scratch. Data scientists looking to expand their skill set with CNN and object detection. AI and ML engineers aiming to build computer vision models. Researchers and students exploring deep learning for visual tasks. 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Free Download Computer Basics & It Fundamentals Certification For Beginner Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 363.47 MB | Duration: 0h 52m Get IT certified! Learn essential computer skills, internet basics & online security for career & personal growth What you'll learn Develop essential computing skills. Navigate touchscreen features with ease. Gain confidence in using a keyboard and mouse. Learn practical tips for comfortable computer use. Understand the fundamentals of the internet. Familiarize yourself with online laws and restrictions. Master search engine techniques for efficient browsing. Discover key strategies for staying safe online. Learn how to identify and handle online scams like a pro. Requirements There are no course Requirements or prerequisites Description Do you frequently feel that technology is leaving you behind? Computer skills are essential in this digital age for career, education, and personal growth. With the support of our Functional IT course, you will be able to showcase your skills to the fullest extent and compete with confidence in today's IT-driven world.Even if you have little knowledge of digital literacy, this course is easy to understand. This beginner computer course will teach you the fundamentals of using a computer, the Internet, and other digital devices.The basic skills needed to use a computer or mobile device effectively are introduced in this course. It covers fundamental keyboard and touchscreen operations, file management, and basic computer problem-solving. To prevent strain, learners will also explore the best ways to sit comfortably when using a computer.We will also explore the use of the internet. Today, it is almost impossible to accomplish any task without it, and we will help you learn essential internet basics. 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It will cover areas like moving around websites, using search engines, following certain online roles and regulations, taking different public and government services, dealing with online scams, and lots more. Overview Section 1: Using Your Device Lecture 1 Basic Touchscreen Control Lecture 2 Common Touchscreen Features Lecture 3 Solving Simple Computer Problems Lecture 4 Turning Computers On and Off Lecture 5 Advanced Keyboard Functions Lecture 6 Clicking with a Mouse Lecture 7 Using Programs and Managing Files Lecture 8 Advanced Touchscreen Controls Lecture 9 Changing Settings on a Computer Lecture 10 Parts of a computer Lecture 11 Basics of using a keyboard Lecture 12 Scrolling with a Mouse Lecture 13 Sitting Comfortably When Using a Computer Section 2: Learning to Use Internet Lecture 14 Introduction to the Internet Lecture 15 Moving Around Websites Lecture 16 Online Rules and Regulations Lecture 17 Sticking to the Rules Lecture 18 Basic Features of Forms Lecture 19 Advanced Features of Forms Lecture 20 Benefits of Using Search Engines Lecture 21 Using and Saving Website Addresses Lecture 22 Searching websites Lecture 23 Saving Things from the Internet Lecture 24 Connecting to the Internet Lecture 25 Using Mobile Data Lecture 26 Introduction to public services online Lecture 27 Using Online Government Services Lecture 28 Using Online Council Services Lecture 29 Basics of Online Safety Lecture 30 Online Behaviours Lecture 31 Meeting Online Friends Lecture 32 Dealing with Online Scams Beginners & Adults - Ideal for those with little or no digital experience who want to build confidence in basic IT skills.,Job Seekers & Professionals - Enhance employability with essential computer and internet skills.,Students & Lifelong Learners - Improve digital literacy for academic and personal growth.,Senior Citizens - Gain confidence using digital devices and staying safe online.,Entrepreneurs & Small Business Owners - Learn essential IT skills for managing digital tasks.,Anyone Concerned About Online Safety. 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Free Download Udemy - Computer Hacking Forensic Investigator (CHFI) (2025) Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.96 GB | Duration: 2h 42m Computer Hacking Forensic Investigator (CHFI) Masterclass: From Beginner to Expert What you'll learn Master Digital Forensics Fundamentals - Understand key concepts in digital forensics, including the types of digital evidence, the forensic investigations, etc. Conduct Comprehensive Forensic Investigations - Gain hands-on experience in collecting, preserving, and analyzing digital evidence from various sources Utilize Industry-Standard Forensic Tools - Become proficient in using leading forensic software tools such as EnCase, FTK, Autopsy, and Volatility Prepare for the CHFI Certification Exam - Fully prepare for the EC-Council CHFI v10 certification exam with practice tests, study guides, and in-depth reviews Requirements Basic Computer Knowledge - A general understanding of how computers work, including basic file systems, operating systems (Windows, Linux), and networking concepts. Interest in Cybersecurity - A passion for understanding cybersecurity, digital forensics, and investigating cybercrime. Optional: Prior Knowledge of Networking or IT - While not required, some familiarity with networking protocols, operating systems, or IT infrastructure will be helpful as we dive into more advanced topics. Software Tools - The course will introduce you to industry-standard forensic tools such as EnCase, FTK, and Autopsy. These tools may require installation or access, but we'll guide you through setup during the course. No Programming Skills Required - While some forensics tools might use scripts, prior programming knowledge is not required to take the course. Description Computer Hacking Forensic Investigator (CHFI) Masterclass: From Beginner to ExpertUncover Cybercrime, Analyze Digital Evidence & Become a Certified CHFI ProfessionalDo you want to master digital forensics and become an expert in cybercrime investigations? Are you preparing for the EC-Council CHFI certification or looking to advance your career in cybersecurity, law enforcement, or IT forensics?Welcome to the Computer Hacking Forensic Investigator (CHFI) Masterclass, the most comprehensive and hands-on course designed to take you from a beginner to an expert in digital forensic investigations.Why Take This Course?Cybercrime is at an all-time high, with organizations and individuals constantly under attack from hackers, malware, and data breaches. Forensic investigators play a crucial role in uncovering evidence, tracking attackers, and ensuring justice. 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Aspiring Digital Forensic Investigators - If you want to break into the field of digital forensics and cybercrime investigations, this course will provide you with the foundational knowledge and hands-on skills needed to succeed.,Cybersecurity Enthusiasts & Professionals - For those working in IT security or network administration, this course will deepen your understanding of how to identify, analyze, and respond to cyber threats by mastering forensic techniques.,Law Enforcement Officers & Legal Professionals - If you're involved in cybercrime investigations or the legal aspects of digital evidence, this course will equip you with the tools and expertise to handle forensic evidence effectively and present it in court.,IT Professionals & Incident Responders - IT staff and network administrators looking to expand their skill set in incident response and forensic investigations will gain invaluable knowledge to detect and investigate cybercrimes within their organizations.,Students & Ethical Hackers - Students studying cybersecurity or aspiring ethical hackers will find this course a great supplement to their learning, providing the forensic knowledge needed to understand how attacks are investigated.,Anyone Preparing for the CHFI Certification - If you're aiming to get EC-Council CHFI certification, this course covers all the essential topics and provides comprehensive exam preparation materials. 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Free Download Udemy - Computer Basics for Beginners 2025 Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 28m | Size: 1.3 GB Course Subtitle: Master Digital Skills: Learn Computer Basics, Internet Use, Online Safety, and Essential Software. What you'll learn Basic Computer Operations: Master the essentials of using a computer, including hardware, keyboard, mouse, and file management. Operating System Basics: Understand how to navigate and customize operating systems like Windows and macOS, including software installation Internet Use & Safety: Learn to browse the internet effectively and safely, using browsers, search engines, and email, while protecting privacy. Productivity Software Skills: Gain proficiency in word processing, spreadsheets, and presentation tools for creating documents, managing data, and presenting. Requirements No previous experience in using computers. Ability to view video on demand Description Learn fundamental computer skills, including basic operations, internet use, online safety, and productivity software, to confidently navigate the digital world. This course is designed for absolute beginners, older adults, job seekers, students, stay-at-home parents, small business owners, hobbyists, and lifelong learners. By the end of the course, you'll be able to efficiently use a computer, navigate operating systems, browse the internet safely, and utilize essential software like word processors and spreadsheets.This course features live demonstrations ensuring you gain confidence in managing files, communicating online, and protecting your digital privacy. Whether you're looking to enhance your career prospects, stay connected with loved ones, or simply feel more comfortable with technology, this course provides the foundational skills you need. Join us and embark on a journey to become digitally literate, opening up new opportunities and making technology a valuable part of your everyday life. Additionally, our supportive community and experienced instructors will be there to guide you every step of the way, making your learning experience enjoyable and enriching. Take the first step towards mastering the basics of computer literacy and embrace the digital age with confidence and ease.Through interactive lessons and real-world applications, you'll discover how technology can simplify everyday tasks, streamline your workflow, and connect you to a world of information and resources. This course will empower you to troubleshoot common issues, understand the importance of software updates, and keep your devices running smoothly. By the end, you'll be well-equipped to tackle new challenges and embrace the opportunities that come with being digitally savvy. Let's take this journey together and unlock the potential of technology to enhance your life and broaden your horizons. Who this course is for Absolute Beginners: Individuals with little to no prior experience using computers. People who feel overwhelmed or intimidated by technology. Older Adults: Seniors looking to develop basic computer skills to stay connected with family and friends. Those aiming to keep up with the digital world and enhance their daily lives. Job Seekers: Unemployed individuals seeking to improve their tech skills for better job prospects. Those transitioning careers and needing foundational computer knowledge. Students: School and college students who require basic computer literacy for their academic work. Young learners who want to build a strong foundation in technology. Stay-at-Home Parents: Parents looking to gain computer skills for personal projects or future employment opportunities. Small Business Owners: Entrepreneurs who need basic computer skills to manage their business operations. Individuals looking to leverage technology for business growth. Hobbyists and Lifelong Learners: People interested in learning new skills as a hobby or personal development. Those who enjoy exploring technology and want to enhance their digital literacy. Homepage: https://www.udemy.com/course/computer-basics-for-beginners-u/ Rapidgator https://rg.to/file/42a30befd85c75867729cfec5d58216a/kvynt.Computer.Basics.for.Beginners.2025.part1.rar.html https://rg.to/file/031efe2f438d9e792929a8e5401ffa37/kvynt.Computer.Basics.for.Beginners.2025.part2.rar.html Fikper Free Download https://fikper.com/KpYc39DdQX/kvynt.Computer.Basics.for.Beginners.2025.part1.rar.html https://fikper.com/F42GsKplvL/kvynt.Computer.Basics.for.Beginners.2025.part2.rar.html : No Password - Links are Interchangeable
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Essentials of Computer Architecture: Third Edition by Douglas Comer English | 2024 | ISBN: 1032727195 | 542 pages | True PDF | 52.32 MB This easy-to-read textbook provides an introduction to computer architecture, focusing on the essential aspects of hardware that programmers need to know. Written from a programmer's point of view, Essentials of Computer Architecture, Third Edition, covers the three key aspects of architecture: processors, physical and virtual memories, and input-output (I/O) systems. This third edition is updated in view of advances in the field. Most students only have experience with high-level programming languages, and almost no experience tinkering with electronics and hardware. As such, this text is revised to follow a top-down approach, moving from discussions on how a compiler transforms a source program into binary code and data, to explanations of how a computer represents data and code in binary. Additional chapters cover parallelism and data pipelining, assessing the performance of computer systems, and the important topic of power and energy consumption. Exclusive to this third edition, a new chapter explains multicore processors and how coherence hardware provides a consistent view of the values in memory even though each core has its own cache. Suitable for a one-semester undergraduate course, this clear, concise, and easy-to-read textbook offers an ideal introduction to computer architecture for students studying computer programming. https://rapidgator.net/file/6953ba997c70a2cc6b0e1f9c1a7f3aaa/ https://nitroflare.com/view/F9732CC8CFF0C38/ https://turbobit.net/rrtwta5svxra.html
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Free Download Human Computer Interaction 2024 Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 43m | Size: 309 MB Creating Seamless User Experiences through HCI Principles What you'll learn Use prototype techniques to create software user interface sing concepts in developing user interfaces Describe typical human-computer interaction (HCI) designs, methods, cognitive processes, and different HCI scenarios. Implementing and analyzing usability engineering lifecycle models and approaches describe and apply the standards, norms, and concepts of HCI design Requirements basic knowledge of computer science, programming, and user-centered design principles. Description Human-Computer Interaction (HCI) is an interdisciplinary course that explores the relationship between people and technology, focusing on designing and improving user interfaces and user experiences (UI/UX). The course covers key principles of user-centered design, interaction design, and usability testing, helping students understand how to create intuitive and efficient interfaces that cater to users' needs. Students learn how cognitive psychology and human behavior play critical roles in designing systems that are both effective and accessible. The curriculum includes practical hands-on projects, where learners apply design thinking and prototyping techniques to develop and test interactive systems across various platforms, such as websites, mobile apps, and physical devices. Additionally, HCI examines the impact of technology on society, exploring issues like accessibility, inclusivity, and ethical considerations in design. By the end of the course, students will have gained a strong foundation in the principles of HCI, equipping them with the tools and techniques to improve user experiences and solve real-world problems through thoughtful design. This course is ideal for students in computer science, engineering, psychology, and design, as well as professionals looking to enhance their understanding of how to create user-friendly technologies. Graduates will be prepared to work in UI/UX design, product development, or human-centered research roles. Who this course is for The HCI course is for students or professionals interested in designing and improving user interfaces and experiences, combining technology, psychology, and design skills. Homepage https://www.udemy.com/course/human-computer-interaction-e/ Screenshot Rapidgator https://rg.to/file/dbcb302ae6bca646158fa87e7178ebc5/nhece.Human.Computer.Interaction.2024.rar.html Fikper Free Download https://fikper.com/4pmG1mTp0N/nhece.Human.Computer.Interaction.2024.rar.html No Password - Links are Interchangeable
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Free Download Computer Vision Smart Systems - Python, YOLO and OpenCV -1 Published 10/2024 Created by Yılmaz Alaca MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 88 Lectures ( 6h 40m ) | Size: 2.4 GB Develop Your Own Computer Vision Smart System with Python and YOLO | Step-by-Step | OpenCV | Real-Time Object Detection What you'll learn Introduction to Image Processing and Computer Vision, Object Detection with YOLO Algorithm Building Custom Deep Learning Models Practical Vehicle Counting Project Project Development and Implementation Requirements No Prior Experience Required Basic Computer Skills Eagerness to Learn Description This course is designed for anyone interested in pursuing a career in artificial intelligence and computer vision or looking to implement computer vision applications in their projects. In "Computer Vision Smart Systems: Python, YOLO, and OpenCV -1," we start with the fundamentals of computer vision and cover image processing techniques using the Python programming language and OpenCV library. Then, we advance to object detection and deep learning modeling using the YOLO (You Only Look Once) algorithm. Students will learn to build custom deep learning models from scratch, work with datasets, perform object detection, and apply these models in various projects.Throughout the course, practical exercises are provided step-by-step along with theoretical knowledge, giving students the chance to apply what they've learned. Additionally, we address common challenges you may face and provide detailed solutions. Aimed at building skills from basic to intermediate levels, this course serves as a comprehensive guide for anyone interested in the field of computer vision. It empowers you to develop smart systems for your projects and enhances your expertise in this exciting domain."You are never too old to set another goal or to dream a new dream." - C.S.Lewis"Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao TzuYou get the best information that I have compiled over years of trial and error and experience!Best wishes,Yılmaz ALACA Who this course is for Beginners in Programming: Individuals with no prior programming experience who want to learn Python and apply it to real-world applications in computer vision. Aspiring Data Scientists: Those looking to enter the field of data science and machine learning, particularly in the domain of computer vision. Students and Professionals: College students, recent graduates, or professionals seeking to expand their skill set in artificial intelligence and image processing. Hobbyists and Enthusiasts: Anyone with a keen interest in technology, artificial intelligence, or robotics who wants to explore how computer vision systems are built. Developers Transitioning to AI: Programmers or software developers wanting to branch into the field of artificial intelligence and machine learning, specifically in computer vision. Project-Based Learners: Individuals who learn best through hands-on projects and practical applications, as this course includes a final project on vehicle counting. Homepage https://www.udemy.com/course/computer-vision-smart-systems-python-yolo-and-opencv/ Screenshot Rapidgator https://rg.to/file/548cb233f3b016ab6107fbd1fd78f541/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part1.rar.html https://rg.to/file/723a630af636cc24feca4c14c6c588ea/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part3.rar.html https://rg.to/file/a93762d3652534ef51ad3f1e6fd998ad/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part2.rar.html Fikper Free Download https://fikper.com/fHcnPnWRSY/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part3.rar.html https://fikper.com/rna0OW5Xh8/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part2.rar.html https://fikper.com/yqHFM9CbcD/dsipv.Computer.Vision.Smart.Systems..Python.YOLO.and.OpenCV.1.part1.rar.html No Password - Links are Interchangeable
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Free Download Build a Computer 102 - Build Examples Published 10/2024 Created by Kickstart Hardware MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 41m ) | Size: 737 MB Put your computer hardware knowledge into practice and gain experience by building different computers. What you'll learn Gain valuable experience by building 4 different computers with different budgets and usages Learn the principles of building a computer Learn what do experts do when building a computer from first person view Learn the principles of building a specialized system such as a gaming PC or workstation Requirements Some introductory knowledge about computer hardware is needed. Description Learn how do experts build a computer, how do they decide and which principles they use from the first person view. Gain practical knowledge on computer hardware and gain valuable experince by building 4 different computersLearn how to build a gaming PCLearn how to build a workstationLearn how to build a general usage PCContents & OverviewThis course has 1.5 hours of content. This course is on intermediate level, and aims to give practical knowledge by building many types of computers to users with introductory computer hardware knowledge. We are Kickstart Hardware, founded with the mission of teaching you hardware fast, simple but also comprehensive. In this course, and actually, in any of our courses, we will never make you memorize information that will be obsolete in a few years or even months. We will directly teach you the principles that makes a component better than the other one, so you will learn to decide on your own and within any technology.We will start our course with the principles of building a gaming PC. Then, we will build 2 different gaming PCs, with 1000$ and 2000$ budgets respectively. Then, we will learn the principles of building a workstation, and build a workstation with 3000$ budget. Lastly, we will learn the principles of building a system on a budget, a.k.a general usage systems that can be used for office, school or light gaming etc. We will build a special system with 600$ budget, and finish our course. There will be helpful practice quizzes, at the end of each section, so you can test yourself and truly embrace what you've learned. By the end of this course, you'll learn how to build a gaming PC, workstation as well as general usage PCs. You will not memorize pre-defined build lists that will be obsolete in a few months. We will directly teach you the principles of selecting the right component, based on your budget and usage, and show you firsthand how do we find them, so you will confidently build your computers in any technology. This isn't the course for complete beginners. We will assume you have some knowledge about computer hardware. In this course, Udemy gives you 30-day money back guarentee, so you can try it without any risk. As Kickstart Hardware, we promise to always be here for you if you've questions along the way. We commit ourselves to improving and deeply think about how we can make your learning experience better. We're hoping to see you inside, where you'll put your computer hardware knowledge into practice and learn how to actually pick up the parts for your build. What you'll learn in this courseHow to build a gaming PC?How to build a workstation?How to build a general usage PC? How to decide between components when building a computer? What you'll NOT learn in this courseInstalling and mounting the parts Who this course is for This course is not for complete beginners. At least some familiarity with computer hardware concepts is required. Homepage https://www.udemy.com/course/build-a-computer-102-build-examples/ Screenshot Rapidgator https://rg.to/file/b74b14f5c266a7bc26503ed8494ded29/xyhtk.Build.a.Computer.102.Build.Examples.rar.html Fikper Free Download https://fikper.com/jL0naewwB5/xyhtk.Build.a.Computer.102.Build.Examples.rar.html No Password - Links are Interchangeable
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Free Download Build A Computer 101 Computer Hardware Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.19 GB | Duration: 2h 10m Gain insight on the underlying principles of Computer Hardware. Learn how to select the right parts for your system. What you'll learn Learn the principles of computer hardware Gain valuable information about computer hardware and reach into intermediate to advanced level Be able to pick the right components for your builds in any technology Be able to compare components and conclude which one is better Requirements No experience or knowledge about computer hardware is required, just an eager mind. Description Learn how to select the right parts for your computer by understanding the underlying principles of computer hardware. Obtain timeless computer hardware principles that will serve you many years.Build a strong foundation in computer hardware,Embrace what you've learned with summaries at the end of each lecture,Put what you've learned to test with many practice quizzes and final mastery quiz. Contents and OverviewThis course has more than 2 hours of content and has a lot of useful resources that will help you gain the habit of be able to learn things on your own, which is crucial in IT & hardware. This course is designed for beginners, and guarentee to help you reach to intermediate to advanced level. We are Kickstart Hardware, founded with the mission of teaching you hardware fast, simple but also comprehensive. In this course, and actually, in any of our courses, we will never make you memorize information that will be obsolete in a few years or even months. We will directly teach you the principles that makes a component better than the other one, so you will learn to decide on your own and within any technology.Starting with why custom PC's are better than pre-built computers, we will quickly dive into the parts you need to buy in order to build a computer. We will start with CPU, which is crucial for your system's operation. You will learn what makes a CPU operate, and learn how to select the right CPU. You will not memorize the components on the market, you will directly learn the principles on how to compare them and find out which one is better. Then, we will continue with CPU cooler and CPU naming. We will finish off CPU and start learning about motherboard and RAM. Then, maybe the most important component, especially for gaming PCs, you will learn about GPU. You will learn about how to compare GPUs and how to select the right version. Then, you will learn about case and PSU. You will learn what to look for when buying a case. You will learn how to calculate your power usage of your system and the benefits of getting a high quality PSU in the long term. Then, we will finish off our course with storage units. You will learn about different storage unit types and which one makes more sense on different use cases. Lastly, we have a course summary lecture which summarizes everything you learned in this course and have a final mastery quiz to test yourself. By the end of this course, you'll be able to recognize computer hardware elements and have a deep understanding of computer hardware. You'll not memorize any existing part in the market: you will directly learn how to decide between components in any market and any technology. You'll be able to select the right parts according to your needs and budget. This course is designed in a beginner friendly way. All of the information are explained as simple as possible, without making it too basic. At the end of each lecture, we will summarize everything we've covered in the lecture, so you can really embrace what you've learned effectively. We will also have many practice quizzes, which will be a great opportunity for you to test yourself. At chapter 3, we will summarize everything you've learned in this course, and have a mastery quiz, for the ultimate test.In this course, Udemy gives you 30-day money back guarentee, so you can try it without any risk. As Kickstart Hardware, we promise to always be here for you if you've questions along the way. We commit ourselves to improving and deeply think about how we can make your learning experience better. We're hoping to see you inside, where you can learn precious information about computer hardware in a very short time frame. What you'll learn in this courseWhat is CPU?How to Select the Right CPU?CPU CoolerCPU NamingMotherboard RAMWhat is GPU?How to Compare GPUs?How to Select the Right GPU? Case PSUStorage UnitsWhat you'll NOT learn in this courseHow to overclock your componentsAdvanced computer hardware techniques such as SLI and CrossFireX. Overview Section 1: Introduction Lecture 1 Why Should You Buy This Course? Lecture 2 Introduction Lecture 3 Why Build a Custom PC? Section 2: Computer Hardware Lecture 4 CPU Lecture 5 CPU Cooler Lecture 6 CPU Naming Lecture 7 Motherboard Lecture 8 RAM Lecture 9 GPU: Part 1 Lecture 10 GPU: Part 2 Lecture 11 Case Lecture 12 PSU Lecture 13 Storage Section 3: Course Summary Lecture 14 Computer Hardware Overview Lecture 15 Thanks Section 4: Bonus Section Lecture 16 Bonus Lecture This course is for complete beginners and for intermediate users who want to take it a step further. This course is not suitable for users who wants to learn about advanced concepts, however it can be great start point. Screenshot Homepage https://www.udemy.com/course/build-a-computer-101-computer-hardware/ Rapidgator https://rg.to/file/3fcc0c96fb011010fedef749a9513722/diacl.Build.A.Computer.101.Computer.Hardware.part1.rar.html https://rg.to/file/a965e0fb3759b7295e874ee281c6c08f/diacl.Build.A.Computer.101.Computer.Hardware.part2.rar.html Fikper Free Download https://fikper.com/ZsO8JK0Xdf/diacl.Build.A.Computer.101.Computer.Hardware.part2.rar.html https://fikper.com/pYcPvA6yLp/diacl.Build.A.Computer.101.Computer.Hardware.part1.rar.html No Password - Links are Interchangeable
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Free Download Applied Computer Vision Object Detection and Recognition Published 10/2024 Created by Vahid Mirjalili, PhD,Taban Eslami MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB Object Recognition From Basics to Advanced Techniques What you'll learnUnderstand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic)) Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset Implement advanced image recognition models and train them in PyTorch RequirementsPython Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures. Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting. Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained. DescriptionComputer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation. Who this course is forStudents and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch. Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques. AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition. Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets. Homepage https://www.udemy.com/course/applied-computer-vision/ Rapidgator https://rg.to/file/46055b26242e55dd14d3d3bebc61a186/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.rar.html Fikper Free Download https://fikper.com/6THTR8RTbL/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.rar.html No Password - Links are Interchangeable
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pdf | 17.73 MB | English| Isbn:9781441940162 | Author: John Aycock | Year: 2010 Description: Category:Computers, Computers - General & Miscellaneous, Networking & Telecommunications, Computer Security, Security - Computer Networks https://ddownload.com/ulph822j8u5q https://rapidgator.net/file/cf226a154c92cb5da31c0be3fe066c20/ https://turbobit.net/ivsdx6umr5uo.html
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pdf | 14.34 MB | English| Isbn:9781435456105 | Author: Chuck Easttom, Jeff Taylor | Year: 2010 Description: Category:Computers, Networking & Telecommunications, Security - Computer Networks https://ddownload.com/dy8hap9lyfo4 https://rapidgator.net/file/7ea255a6113530f29a38f428585c87a2/ https://turbobit.net/ekyaa0uy9mje.html
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Free Download Udemy - Basics Of Computer Programming Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 615.14 MB | Duration: 3h 0m Unleash your creativity What you'll learn You will learn how a processor is built and how it works You will lay a solid foundation on which to build your career as a programmer You will easily adapt to the dynamic changes taking place in the world of IT You will avoid many mistakes made by novice programmers Requirements No programming experience is required. All you need is an open mind to absorb knowledge. Description One of the basics of programming is a general knowledge of how a processor is built and works, which is why most of the course is devoted to this. Together we build our own processor and learn how to program it. In the further part of the course we will find general information and tips on programming. The last lecture, on the other hand, is devoted to a discussion of several topics in the field of computer science, such as the Internet and artificial intelligence. The material presented in the course is a foundation on which you can base yourself during further learning of programming. Through numerous animations, examples and analogies, I present ideas from the world of programming so that they are as simple to understand as possible.In the first lecture I explain why the basics are important. In the second I answer the questions about what computer science is, what information is, and what information processing is. In the third I explain the operation of a transistor and a NOT gate. In the following lectures up to 11 I build and program a processor explaining how OR gates, AND gates, logic functions and blocks, flip-flops, registers, memory, control circuitry and the arithmetic logic unit work. Chapter 12 is devoted to programming in high-level languages. I discuss the basic issues related to object-oriented programming. Chapter 13 contains numerous tips on programming. Among other things, I mention the Pomodoro technique. The aim of the last chapter is to show a few simple ideas related to the Internet, database indexes, and artificial intelligence. Overview Section 1: Basics of computer programming Lecture 1 Introduction Lecture 2 Logical Operations Lecture 3 Transistor and NOT Gate Lecture 4 OR and AND Gates Lecture 5 Logic Function and Block Lecture 6 Flip-Flop and Register Lecture 7 Memory Lecture 8 Processor Lecture 9 Jump Instructions Lecture 10 Subroutine Lecture 11 Input-Output Systems Lecture 12 High-Level Language Lecture 13 Good Practices Lecture 14 Selected Topics For those who want to start programming or those who already program but feel they lack the basics. For people who want to understand programmers. Homepage https://www.udemy.com/course/basics-of-computer-programming/ Rapidgator https://rg.to/file/b587d12ec8ca2244657a1cf060505e0a/bcsof.Basics.Of.Computer.Programming.rar.html Fikper Free Download https://fikper.com/NdnVboIp7w/bcsof.Basics.Of.Computer.Programming.rar No Password - Links are Interchangeable
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Free Download Foundations to Mastery - Computer Basics for All Levels Published 10/2024 Created by Erick Kamamba MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 Lectures ( 3h 9m ) | Size: 1.61 GB Gain a comprehensive understanding of computer basics, regardless of your initial skill level What you'll learn: Ensure that parti[beeep]nts gain a comprehensive understanding of computer basics, regardless of your initial skill level. Identify common computer issues and apply basic troubleshooting techniques. Understand when and how to seek technical support for more complex problems. Identify different types of computer hardware and their functions. Recognize basic cybersecurity threats such as phishing, malware, and ransomware. Implement basic security practices like using strong passwords and keeping software up to date. Explore and understand more advanced features of operating systems and software for increased productivity. Explain the basic components of a computer system, including hardware (CPU, RAM, storage, peripherals) and software (operating systems, applications). Use common productivity software (e.g., word processors, spreadsheets, presentation tools) to create, edit, and manage documents. Requirements: No computer experience needed. You will learn everything you need to know. Ability to read and write, as the course will involve following written instructions. Although the course is for beginners, having a minimal familiarity with electronic devices (e.g., smartphones, tablets) can be beneficial. Interest and Willingness to Learn Description: This comprehensive course is designed for learners of all backgrounds and skill levels, aiming to build a solid foundation in computer literacy and advance to more complex concepts. Through engaging, hands-on activities and interactive lessons, parti[beeep]nts will explore essential topics including:Computer Hardware & Software: Understand the components of computers, different operating systems, and essential software applications. Identify different types of computer hardware and their functions.Internet Navigation: Learn effective online searching techniques, web safety, and the use of various digital communication tools. Use email applications to compose, send, and organize messages. Recognize basic cybersecurity threats such as phishing, malware, and ransomware. Implement basic security practices like using strong passwords and keeping software up to date.Productivity Tools: Gain proficiency in word processing, spreadsheets, and presentation software, equipping you with skills for both personal and professional tasks.Data Management: Discover techniques for organizing files, using cloud storage, and understanding basic data security practices.Basic Troubleshooting: Develop problem-solving skills to address common technical issues. Identify common computer issues and apply basic troubleshooting techniques. Understand when and how to seek technical support for more complex problems.Whether you are a complete beginner or looking to refresh your skills, this course will empower you to navigate the digital world with confidence. By the end, parti[beeep]nts will not only possess foundational knowledge but also the ability to tackle more advanced topics as they continue their tech journey. Join us to transform your computer skills from basic to masterful! Who this course is for: Individuals with little to no prior experience with computers or digital technology Individuals looking to switch careers or advance in their current field and need to gain or refresh their computer skills People entering the job market who need to build or strengthen their computer skills as a prerequisite for many modern job roles Entrepreneurs/ small business owner who want to manage their business operations more efficiently using basic computer applications and tools People who want to become more comfortable with computers for personal use, such as staying in touch with family, supporting their children's education, managing finances, or accessing online services. Those who have been less exposed to technology in their personal or professional lives and want to build confidence in using computers. Homepage https://www.udemy.com/course/foundations-to-mastery-computer-basics-for-all-levels/ Rapidgator https://rg.to/file/374f3ce9579dd9f5751db05307fbda70/dhpds.Foundations.to.Mastery.Computer.Basics.for.All.Levels.part1.rar.html https://rg.to/file/b9303ddd6a1fc2b0d1deeac4e1e5a9db/dhpds.Foundations.to.Mastery.Computer.Basics.for.All.Levels.part2.rar.html Fikper Free Download https://fikper.com/lreVE2xwYv/dhpds.Foundations.to.Mastery.Computer.Basics.for.All.Levels.part1.rar https://fikper.com/6jOwhtOhN2/dhpds.Foundations.to.Mastery.Computer.Basics.for.All.Levels.part2.rar No Password - Links are Interchangeable
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Free Download Computer Network Cabling Ethernet Wiring Infrastructure Last updated 8/2017 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 752.38 MB | Duration: 0h 41m The Physical Side of Computer Networking; Wire Ethernet Cables from Scratch and Master the Fundamentals of RJ-45 Ports. What you'll learn Splice, Cut, and Install Data Wiring onto Jacks Successfuly Install RJ45 Connectors onto Ethernet Cables Properly Test All Cables / Connections for Signal Find and Detect Network Cables within Walls and Clusters Physically Increase Network Capabilities Intuitively Run Cable Requirements Must be able to safetly utilize sharp objects Certain tools (explained in detail in the course) Description Cabling is no-doubt one of the fundamentals of the IT world. Whether you're an Intern or a Level III Technician, you'll eventually run into a situation that requires you to create and run cable. What seems like an easy task can turn into a real headache if the proper steps aren't executed properly. This course is designed to teach you the core principles of network cabling so that you can; Cut and Measure Ethernet Cable WiringDetermine Category Types Install (a.k.a. "Crimp") RJ45 Connectors onto CablesWire and Establish Connections with Jacks / Ports Test and Diagnose New / Existing ConnectionsAnd everything else in-between By the end, you'll know network cable wiring inside and out. So, If you're ready to hone your skills in the art of cabling, Enroll now. Overview Section 1: Introduction to Network Cables Lecture 1 Intro to the Uses of Network Cabling Lecture 2 A Look into CAT5/CAT6/CAT7 Section 2: In-depth Look at Networking Cables Lecture 3 Splicing and Examining Inner Wiring Lecture 4 RJ45 - Connectors Lecture 5 Jacks and Color Coding (A / B) Section 3: Your Toolbox for Cabling Lecture 6 Crimpers Lecture 7 Punchdown Tool Lecture 8 Electrician Scissors Lecture 9 Cable Tester Section 4: Creating a Patch Cable Lecture 10 The purpose of a Patch Cable Lecture 11 Splicing and Exposing Wire Lecture 12 Color Coding and Leveling Lecture 13 Adding and Securing the Connector Lecture 14 Adding and Securing the Connector PT 2 Lecture 15 Testing the New made cable Section 5: Punching the Cable into Jacks Lecture 16 Fitting and Wiring the Jack Lecture 17 Punching Down the Jack Lecture 18 Fitting and Punching down PT 2 Lecture 19 Testing the new Jack Section 6: Running Cable Lecture 20 Considerations and Helpful Tools for Running Cable Section 7: Wrap-up Lecture 21 Working in the Real World Anyone who wants to learn physical network wiring.,Job hunters seeking knowledge for entry-level IT positions,Anyone who needs to run cable in their home / building,Business owners who need to run cable for their office(s) Homepage https://www.udemy.com/course/network-cabling/ Rapidgator https://rg.to/file/51f11538a438fad58da016a2d3130b82/ylkne.Computer.Network.Cabling.Ethernet.Wiring.Infrastructure.rar.html Fikper Free Download https://fikper.com/NwUpRLmtRM/ylkne.Computer.Network.Cabling.Ethernet.Wiring.Infrastructure.rar No Password - Links are Interchangeable
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Computer Music - November 2024 English | 100 pages | True PDF | 82.6 MB Computer Music's goal is to help its readers create great music with a PC or Mac. Each month find easy-to-follow tutorials for all sorts of music software, unbiased reviews of the latest products and answers to technical questions. [img=https://ddownload.com/images/promo/banner_240-32.png] https://ddownload.com/vrwkysy1z7zw https://rapidgator.net/file/77815154898b0ec63de3f53ef564a179/ https://turbobit.net/pmknvxz4r4re.html
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Free Download CS Primer - Computer Networking Released 9/2024 MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 23h 59m | Size: 11.8 GB The internet-together with all of the applications it supports, like the web-has become one of the most important forces for technological progress of our era. In this course we'll cover the key protocols that enable the internet, the web, and other applications of computer networking. This should empower you not only to make the most of present networking technologies but also to help build the future. At the core of this course are the sequences of problems for each topic. You should aim to solve each problem, using the worked solutions and supplementary explainers as needed. There are also some full seminars, which some find helpful to tie topics together. While no textbook is necessary for this course, we do recommend Computer Networking: A Top-Down Approach ("Kurose & Ross") as a supplement, and reference relevant Kurose & Ross chapters below. For more suggestions on how to approach CS Primer, see the how-to guide. Homepage https://csprimer.com/courses/networking/ TakeFile https://takefile.link/04l2divqbvl9/xwzdi.CS.Primer..Computer.Networking.part08.rar.html https://takefile.link/0lyxky4ecobr/xwzdi.CS.Primer..Computer.Networking.part13.rar.html https://takefile.link/35b0fcqy5olp/xwzdi.CS.Primer..Computer.Networking.part10.rar.html https://takefile.link/7eqg6xerdm24/xwzdi.CS.Primer..Computer.Networking.part07.rar.html https://takefile.link/8421hw76znuv/xwzdi.CS.Primer..Computer.Networking.part02.rar.html https://takefile.link/9g1dpqd64elr/xwzdi.CS.Primer..Computer.Networking.part01.rar.html https://takefile.link/fb63pbj99uah/xwzdi.CS.Primer..Computer.Networking.part12.rar.html https://takefile.link/fmgr2wp54ymf/xwzdi.CS.Primer..Computer.Networking.part06.rar.html https://takefile.link/h83cy76myl4m/xwzdi.CS.Primer..Computer.Networking.part03.rar.html https://takefile.link/ifjrd6d9j1pl/xwzdi.CS.Primer..Computer.Networking.part04.rar.html https://takefile.link/m5k0o1hru2rw/xwzdi.CS.Primer..Computer.Networking.part11.rar.html https://takefile.link/rawtpfevpt2o/xwzdi.CS.Primer..Computer.Networking.part05.rar.html https://takefile.link/v6jadwnt45pj/xwzdi.CS.Primer..Computer.Networking.part09.rar.html Rapidgator https://rg.to/file/0fa487a47f3b13273cbdad4163b1dfab/xwzdi.CS.Primer..Computer.Networking.part05.rar.html https://rg.to/file/243dcbf9d8164d983214d10124979cb5/xwzdi.CS.Primer..Computer.Networking.part07.rar.html https://rg.to/file/3090c225daaf3e80350c1b3a933cc48f/xwzdi.CS.Primer..Computer.Networking.part10.rar.html https://rg.to/file/323a1c90fc12650db3493628f49e7524/xwzdi.CS.Primer..Computer.Networking.part06.rar.html https://rg.to/file/3bcad2ced5ef9818dbe8d5306a9ac1dc/xwzdi.CS.Primer..Computer.Networking.part11.rar.html https://rg.to/file/3c1a498b49f8a9b9a1a1c94c265b2047/xwzdi.CS.Primer..Computer.Networking.part03.rar.html https://rg.to/file/40c86074de67bff3b50a3a33bf316ba2/xwzdi.CS.Primer..Computer.Networking.part02.rar.html https://rg.to/file/9d16b624a7c7985f5d0fe6351543c8fa/xwzdi.CS.Primer..Computer.Networking.part09.rar.html https://rg.to/file/cf92caf1136f08b0595b2f1c92895b53/xwzdi.CS.Primer..Computer.Networking.part08.rar.html https://rg.to/file/e5062d6ff6649618a2113c399acc8b81/xwzdi.CS.Primer..Computer.Networking.part13.rar.html https://rg.to/file/e7d8abfb039d625a7ef678f1cbc68fe2/xwzdi.CS.Primer..Computer.Networking.part12.rar.html https://rg.to/file/f13d03d367a42738c521462ff3043a01/xwzdi.CS.Primer..Computer.Networking.part04.rar.html https://rg.to/file/fd19fdcd6a41a9aad6a5637a253d75a6/xwzdi.CS.Primer..Computer.Networking.part01.rar.html Fikper Free Download https://fikper.com/1nMd2Gu57E/xwzdi.CS.Primer..Computer.Networking.part02.rar.html https://fikper.com/AkR2OZnzsA/xwzdi.CS.Primer..Computer.Networking.part06.rar.html https://fikper.com/CmLcI7SXJP/xwzdi.CS.Primer..Computer.Networking.part01.rar.html https://fikper.com/FAqsYm5jLh/xwzdi.CS.Primer..Computer.Networking.part09.rar.html https://fikper.com/IpObyzCXkW/xwzdi.CS.Primer..Computer.Networking.part08.rar.html https://fikper.com/M1NkP2TaP2/xwzdi.CS.Primer..Computer.Networking.part04.rar.html https://fikper.com/YTgZn7M945/xwzdi.CS.Primer..Computer.Networking.part13.rar.html https://fikper.com/aVTZywjQyz/xwzdi.CS.Primer..Computer.Networking.part05.rar.html https://fikper.com/cfrFCRw2Z3/xwzdi.CS.Primer..Computer.Networking.part03.rar.html https://fikper.com/ofVGg60YTk/xwzdi.CS.Primer..Computer.Networking.part11.rar.html https://fikper.com/phWTpMXI2z/xwzdi.CS.Primer..Computer.Networking.part10.rar.html https://fikper.com/sIryKdxcAk/xwzdi.CS.Primer..Computer.Networking.part12.rar.html https://fikper.com/wzyRwU5dxi/xwzdi.CS.Primer..Computer.Networking.part07.rar.html No Password - Links are Interchangeable
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Free Download CS Primer - Computer Systems Released 9/2024 MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 78 Lessons ( 28h 16m ) | Size: 13.1 GB As software engineers, we study computer systems (also called "computer architecture") to be able to understand how our programs ultimately run and how the machine expects our data to be encoded. Our immediate reward is to be able to write faster, more memory-efficient and more secure code. Longer term, the value of understanding computer systems may be even greater. Every abstraction between us and the hardware leaks, to one degree or another. This course aims to provide a set of first principles from which to build sturdier mental models and reason more effectively. We'll start by considering the machine's expectation of how our data is encoded, as well as some higher level binary representations like those for text. We'll continue through introductory C and assembly programming, to better understand the interface that a typical computer provides for executing programs. Finally we'll cover two important areas for improving program performance: utilizing the CPU microarchitecture, and CPU caches (the memory hierarchy). At the core of this course are the sequences of problems for each topic. You should aim to solve each problem, using the worked solutions and supplementary explainers as needed. There are also some full seminars, which some find helpful to tie topics together. While no textbook is necessary for this course, we do recommend Computer Systems: A Programmer's Perspective ("CS:APP") as a supplement, and reference relevant CS:APP chapters below. For more suggestions on how to approach CS Primer, see the how-to guide. 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