A minimalist presentation I gave in FCIS in 2006 about CS department. Some of the information is now out of date! I think it should be updated for nowadays :)
Digital literacy is the ability to effectively navigate, evaluate, and create information using digital technologies. It involves three main practices: techno-social practice of engaging in safe social networking; academic practice of researching and analyzing online information; and media literacy of creating and sharing knowledge. Digital literacy also refers to one's ability to locate, evaluate, use, and create information in multiple formats from various sources using computers, as well as performing tasks effectively in a digital environment.
Artificial Intelligence (ai) and Deep Learning ppt (By Shahrukh Shakeel)shahrukh1211
Artificial Intelligence (Ai) and Deep Learning with pictorial illustrations of Ai classifications and Machine Learning. This is a Research Paper Presentation on topic (Deep Learning Previous and Present Applications)
Every thing about Artificial Intelligence Vaibhav Mishra
Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Winsple in one of the largest Educational Center providing Professional Course & Skill Training's. Winsple helps you kick-start your career with #1 boot-camp & certification courses which is the industry's best. PMP Plus Certification Training Course | Big Data Engineering Training Course | Data Science Course | Data Analytics Certification Training Course | Artificial Intelligence Course | Cloud Architect Certification Training Course | DevOps Engineer Certification Training Course | Advanced
This document provides an overview of artificial intelligence and its applications in cyber defense. It discusses topics like what AI is, the Turing test, fields of AI like expert systems, neural networks and intelligent agents. It provides examples of expert systems and their architecture. It also discusses applications of AI like credit granting, information retrieval and virus detection. Neural networks are described as artificial representations of the human brain that try to simulate its learning process. Different types of neural networks like biological and artificial are also mentioned.
This document summarizes Suplea, a company that provides real-time pattern recognition and learning technology. Their technology can detect multiple objects in images and video in real time using only 1.6MB of storage space. It also allows for incremental learning of new object classes. The document outlines potential market opportunities for their technology in areas like data mining, online advertising, smart cameras, and mobile applications. It provides a technology roadmap and describes the team behind Suplea, which includes founders from the University of Ljubljana who have developed a scalable visual recognition platform.
Digital literacy is the ability to effectively navigate, evaluate, and create information using digital technologies. It involves three main practices: techno-social practice of engaging in safe social networking; academic practice of researching and analyzing online information; and media literacy of creating and sharing knowledge. Digital literacy also refers to one's ability to locate, evaluate, use, and create information in multiple formats from various sources using computers, as well as performing tasks effectively in a digital environment.
Artificial Intelligence (ai) and Deep Learning ppt (By Shahrukh Shakeel)shahrukh1211
Artificial Intelligence (Ai) and Deep Learning with pictorial illustrations of Ai classifications and Machine Learning. This is a Research Paper Presentation on topic (Deep Learning Previous and Present Applications)
Every thing about Artificial Intelligence Vaibhav Mishra
Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Winsple in one of the largest Educational Center providing Professional Course & Skill Training's. Winsple helps you kick-start your career with #1 boot-camp & certification courses which is the industry's best. PMP Plus Certification Training Course | Big Data Engineering Training Course | Data Science Course | Data Analytics Certification Training Course | Artificial Intelligence Course | Cloud Architect Certification Training Course | DevOps Engineer Certification Training Course | Advanced
This document provides an overview of artificial intelligence and its applications in cyber defense. It discusses topics like what AI is, the Turing test, fields of AI like expert systems, neural networks and intelligent agents. It provides examples of expert systems and their architecture. It also discusses applications of AI like credit granting, information retrieval and virus detection. Neural networks are described as artificial representations of the human brain that try to simulate its learning process. Different types of neural networks like biological and artificial are also mentioned.
This document summarizes Suplea, a company that provides real-time pattern recognition and learning technology. Their technology can detect multiple objects in images and video in real time using only 1.6MB of storage space. It also allows for incremental learning of new object classes. The document outlines potential market opportunities for their technology in areas like data mining, online advertising, smart cameras, and mobile applications. It provides a technology roadmap and describes the team behind Suplea, which includes founders from the University of Ljubljana who have developed a scalable visual recognition platform.
HKOSCon18 - Chetan Khatri - Open Source AI / ML Technologies and Application ...Chetan Khatri
This document summarizes a presentation about open source AI and machine learning technologies for product development. The presentation discusses key concepts like artificial intelligence, machine learning, deep learning and neural networks. It also provides examples of using computer vision, natural language processing and other AI techniques for applications like self-driving cars, visual search, sentiment analysis and more. Challenges in scaling models and frameworks are discussed along with solutions like ONNX for model interoperability across platforms.
Human Computer Interaction is the Study of Interaction between Human & Computer to Design Human-Centered Skills, So that there are Principles & Methods to Create Excellent Interfaces with any Technology.
Artificial intelligence (AI) is defined as making computers intelligent like humans. It involves techniques like machine learning, neural networks, and computer vision. Specific characteristics of intelligent behavior include learning from experience, handling complex situations, solving problems with missing information, determining importance, and reacting quickly to new situations. The differences between natural and artificial intelligence are that humans are fallible with limited knowledge while AI may have high costs and raise ethical concerns. Major branches of AI are robotics, vision systems, natural language processing, learning systems, and neural networks. AI is used in gaming to produce intelligent behaviors in non-player characters.
Here is a small presentation about Artificial Intelligence.
How ai system works and how Artificial Intelligence works in our day to day life to solve real life problems.
I hope you will like it.
This document discusses artificial intelligence and its commercial applications. It defines AI as using computer science, biology, psychology and other fields to develop computers that can think and act intelligently like humans. It then discusses several commercial applications of AI including decision support systems, information retrieval systems, virtual reality, and robotics. The document also provides overviews of expert systems, which use knowledge bases to solve problems like human experts, and fuzzy logic systems, which allow for approximate reasoning similar to human reasoning.
It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
Artificial intelligence (AI) is an advanced branch of science that studies human thinking processes and attempts to apply that knowledge to simulate human intelligence in machines. There are two main methods to create AI - bottom-up, which uses electronic replicas of the human brain's neural network, and top-down, which mimics the brain's behavior with computer programs. To implement AI successfully, people must be prepared for changes in capabilities brought by AI, prepared to continuously learn about AI, and have experts who can help ensure its safe development and applications in areas like game playing, speech recognition, natural language processing, computer vision, expert systems, and heuristic classification.
Jared Johnson has experience with C++, DirectX, and game development tools. He has a Bachelor's degree in game programming from DeVry University, where he graduated with honors. His projects include work with 3D physics, graphics, AI, network programming, and game engine architecture.
This document discusses automated writing using artificial intelligence and natural language generation. It mentions several companies like Nugit that use AI to clean, integrate, and harmonize data from multiple sources and then generate written insights and reports in easy to understand language. The document raises questions about who receives credit for automatically generated content and how to present summaries and insights without swamping readers with too much information.
The document summarizes several academic papers and projects related to interface design in ubiquitous computing. It discusses themes for interface design such as thinking through doing, performance, visibility, risk, and thickness of practice. It also analyzes tangible interfaces based on embodiment, physical metaphor, and classifying interfaces as containers, tools, or tokens. Finally, it poses further questions about frameworks for selecting processes suited to tangible interfaces and considerations for multi-user interfaces and user experience levels.
This document discusses artificial intelligence and human intelligence. It defines intelligence as the ability to reason, plan, solve problems, think abstractly, comprehend ideas, use language, and learn. The document then discusses features of intelligence such as adaptability, capacity for knowledge, abstract thought, comprehension of relationships, evaluation, and original thought. It also discusses definitions of artificial intelligence as simulating human intelligence and making computers do things at which people are currently better. The document compares human and artificial intelligence, noting pros and cons of each. Finally, it distinguishes artificial intelligence from conventional computing by describing how AI uses search and pattern matching while conventional software follows logical steps.
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
This document discusses how artificial intelligence and machine learning are used in speech recognition technology. It explains that AI and ML allow speech recognition solutions to analyze large amounts of speech data to build statistical models and predict outcomes accurately. Examples are given of how Microsoft, Google, and Uniphore's AI-powered speech recognition software achieves high accuracy rates and can continuously improve through machine learning. The document advocates that AI and ML give speech recognition applications new capabilities like self-learning, emotion detection, and diagnostic analysis.
Introduction to the Artificial Intelligence and Computer Vision revolutionDarian Frajberg
Deep learning and computer vision have revolutionized artificial intelligence. Deep learning uses artificial neural networks inspired by the human brain to learn from large amounts of data without being explicitly programmed. Computer vision gives computers the ability to understand digital images and videos. Key breakthroughs include AlexNet achieving unprecedented accuracy on ImageNet in 2012, demonstrating the power of deep convolutional neural networks for computer vision tasks. Challenges remain around ensuring AI systems are beneficial to society, avoiding data biases, and increasing transparency.
The document discusses artificial intelligence and speech recognition. It defines AI as machine behavior that mimics human intelligence. Speech recognition involves studying human thought processes and representing them computationally using machines like computers. Natural language processing allows communication with computers in human languages like English. The document also discusses challenges like speaker dependency, environmental influences, and applications of speech recognition in areas like military operations and medical transcription.
Rapid object detection by hukam singh 9911103469Huki Rathore
The document discusses rapid object detection through hand gesture recognition. It describes gesture recognition as a way for computers to understand human body language through mathematical algorithms. This enables natural human-computer interaction without devices. The document outlines the modules and data flow diagram of a gesture recognition system, including frame extraction, blurring, color thresholding, and pattern matching. It lists applications such as mouse control, sign language recognition, gaming interfaces, and robot control. Finally, it provides the hardware and software requirements to implement such a system using a web camera, processor, RAM, hard disk, Windows OS, and Visual Studio.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This document defines key terms related to artificial intelligence (AI), machine learning (ML), and deep learning (DL). It states that AI is the science of making intelligent machines, ML explores algorithms that learn from data without being explicitly programmed, and DL uses artificial neural networks with one or more hidden layers. It also provides definitions for machine learning, artificial intelligence, computer assisted solutioning, deep learning, and specific deep learning.
Saba Idea Holding is provider of
1. Aparat.com
2. Cloob.com
3. MihanBlog.com
4. Lenzor.com
مجموعه صبا ایده تولید کننده سرویس های آپارات (اشتراک ویدیو)، کلوب (شبکه اجتماعی)، لنزور (اشتراک عکس) و میهن بلاگ (بستر وبلاگ نویسی) می باشد.
Naac presentation education department - central university of keralaThiyagu K
This power-point was prepared for the purpose of NAAC Peer team visit to our Department of Education, Central University of Kerala on 25th October 2016. It is my pleasure to share our department profile power-point in this social platform...
HKOSCon18 - Chetan Khatri - Open Source AI / ML Technologies and Application ...Chetan Khatri
This document summarizes a presentation about open source AI and machine learning technologies for product development. The presentation discusses key concepts like artificial intelligence, machine learning, deep learning and neural networks. It also provides examples of using computer vision, natural language processing and other AI techniques for applications like self-driving cars, visual search, sentiment analysis and more. Challenges in scaling models and frameworks are discussed along with solutions like ONNX for model interoperability across platforms.
Human Computer Interaction is the Study of Interaction between Human & Computer to Design Human-Centered Skills, So that there are Principles & Methods to Create Excellent Interfaces with any Technology.
Artificial intelligence (AI) is defined as making computers intelligent like humans. It involves techniques like machine learning, neural networks, and computer vision. Specific characteristics of intelligent behavior include learning from experience, handling complex situations, solving problems with missing information, determining importance, and reacting quickly to new situations. The differences between natural and artificial intelligence are that humans are fallible with limited knowledge while AI may have high costs and raise ethical concerns. Major branches of AI are robotics, vision systems, natural language processing, learning systems, and neural networks. AI is used in gaming to produce intelligent behaviors in non-player characters.
Here is a small presentation about Artificial Intelligence.
How ai system works and how Artificial Intelligence works in our day to day life to solve real life problems.
I hope you will like it.
This document discusses artificial intelligence and its commercial applications. It defines AI as using computer science, biology, psychology and other fields to develop computers that can think and act intelligently like humans. It then discusses several commercial applications of AI including decision support systems, information retrieval systems, virtual reality, and robotics. The document also provides overviews of expert systems, which use knowledge bases to solve problems like human experts, and fuzzy logic systems, which allow for approximate reasoning similar to human reasoning.
It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
Artificial intelligence (AI) is an advanced branch of science that studies human thinking processes and attempts to apply that knowledge to simulate human intelligence in machines. There are two main methods to create AI - bottom-up, which uses electronic replicas of the human brain's neural network, and top-down, which mimics the brain's behavior with computer programs. To implement AI successfully, people must be prepared for changes in capabilities brought by AI, prepared to continuously learn about AI, and have experts who can help ensure its safe development and applications in areas like game playing, speech recognition, natural language processing, computer vision, expert systems, and heuristic classification.
Jared Johnson has experience with C++, DirectX, and game development tools. He has a Bachelor's degree in game programming from DeVry University, where he graduated with honors. His projects include work with 3D physics, graphics, AI, network programming, and game engine architecture.
This document discusses automated writing using artificial intelligence and natural language generation. It mentions several companies like Nugit that use AI to clean, integrate, and harmonize data from multiple sources and then generate written insights and reports in easy to understand language. The document raises questions about who receives credit for automatically generated content and how to present summaries and insights without swamping readers with too much information.
The document summarizes several academic papers and projects related to interface design in ubiquitous computing. It discusses themes for interface design such as thinking through doing, performance, visibility, risk, and thickness of practice. It also analyzes tangible interfaces based on embodiment, physical metaphor, and classifying interfaces as containers, tools, or tokens. Finally, it poses further questions about frameworks for selecting processes suited to tangible interfaces and considerations for multi-user interfaces and user experience levels.
This document discusses artificial intelligence and human intelligence. It defines intelligence as the ability to reason, plan, solve problems, think abstractly, comprehend ideas, use language, and learn. The document then discusses features of intelligence such as adaptability, capacity for knowledge, abstract thought, comprehension of relationships, evaluation, and original thought. It also discusses definitions of artificial intelligence as simulating human intelligence and making computers do things at which people are currently better. The document compares human and artificial intelligence, noting pros and cons of each. Finally, it distinguishes artificial intelligence from conventional computing by describing how AI uses search and pattern matching while conventional software follows logical steps.
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
This document discusses how artificial intelligence and machine learning are used in speech recognition technology. It explains that AI and ML allow speech recognition solutions to analyze large amounts of speech data to build statistical models and predict outcomes accurately. Examples are given of how Microsoft, Google, and Uniphore's AI-powered speech recognition software achieves high accuracy rates and can continuously improve through machine learning. The document advocates that AI and ML give speech recognition applications new capabilities like self-learning, emotion detection, and diagnostic analysis.
Introduction to the Artificial Intelligence and Computer Vision revolutionDarian Frajberg
Deep learning and computer vision have revolutionized artificial intelligence. Deep learning uses artificial neural networks inspired by the human brain to learn from large amounts of data without being explicitly programmed. Computer vision gives computers the ability to understand digital images and videos. Key breakthroughs include AlexNet achieving unprecedented accuracy on ImageNet in 2012, demonstrating the power of deep convolutional neural networks for computer vision tasks. Challenges remain around ensuring AI systems are beneficial to society, avoiding data biases, and increasing transparency.
The document discusses artificial intelligence and speech recognition. It defines AI as machine behavior that mimics human intelligence. Speech recognition involves studying human thought processes and representing them computationally using machines like computers. Natural language processing allows communication with computers in human languages like English. The document also discusses challenges like speaker dependency, environmental influences, and applications of speech recognition in areas like military operations and medical transcription.
Rapid object detection by hukam singh 9911103469Huki Rathore
The document discusses rapid object detection through hand gesture recognition. It describes gesture recognition as a way for computers to understand human body language through mathematical algorithms. This enables natural human-computer interaction without devices. The document outlines the modules and data flow diagram of a gesture recognition system, including frame extraction, blurring, color thresholding, and pattern matching. It lists applications such as mouse control, sign language recognition, gaming interfaces, and robot control. Finally, it provides the hardware and software requirements to implement such a system using a web camera, processor, RAM, hard disk, Windows OS, and Visual Studio.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This document defines key terms related to artificial intelligence (AI), machine learning (ML), and deep learning (DL). It states that AI is the science of making intelligent machines, ML explores algorithms that learn from data without being explicitly programmed, and DL uses artificial neural networks with one or more hidden layers. It also provides definitions for machine learning, artificial intelligence, computer assisted solutioning, deep learning, and specific deep learning.
Saba Idea Holding is provider of
1. Aparat.com
2. Cloob.com
3. MihanBlog.com
4. Lenzor.com
مجموعه صبا ایده تولید کننده سرویس های آپارات (اشتراک ویدیو)، کلوب (شبکه اجتماعی)، لنزور (اشتراک عکس) و میهن بلاگ (بستر وبلاگ نویسی) می باشد.
Naac presentation education department - central university of keralaThiyagu K
This power-point was prepared for the purpose of NAAC Peer team visit to our Department of Education, Central University of Kerala on 25th October 2016. It is my pleasure to share our department profile power-point in this social platform...
We have faced NAAC current year , and this is departmental presentation for CS department. We have faced lots of challenges for the preparation of presentation .Hope it will help to all who are going to face NAAC in future.
This document provides information about K.L.B. D.A.V College for Girls in Palampur, India. It is a self-financing college established in 1969 that provides undergraduate and postgraduate courses. It has recognition from various regulatory bodies. The college follows curriculums set by Himachal Pradesh University and provides student support services including placements, library resources, and extracurricular activities. It aims to provide quality education to empower women and has various facilities like labs, library, and hostel. The college is managed by a governing body and has 11 faculty members.
1. Economics can be defined in several ways including as the science of wealth, welfare, scarcity, and growth and development.
2. Originally defined by Adam Smith as the science of wealth, focusing on the production and distribution of material goods. Later definitions broadened the scope to include welfare.
3. Current definitions often frame economics as the study of how societies allocate scarce resources to meet unlimited wants, known as the science of scarcity. However, this definition fails to explain some economic phenomena like unemployment.
Microsoft Research - Turning Ideas into Realitygoodfriday
This document provides summaries of research projects at Microsoft Research across various technology themes including mobility, media and entertainment, software development, hardware, human-computer interaction, information analysis and retrieval, and collaboration. It discusses Microsoft Research's contributions to Microsoft products and examples of commercial spin-offs of the research.
The document outlines goals for developing fluency in information technology at Simmons College. It discusses developing intellectual capabilities, skills, and concepts across personal, interpersonal, professional, and societal domains. The goals include using technology thoughtfully, evaluating online information, troubleshooting issues, communicating digitally, understanding ethics and privacy, and keeping up with technological advances and their impacts on society.
Microsoft provides an AI platform and tools for developers to build, train, and deploy intelligent applications and services. Key elements of Microsoft's AI offerings include:
- A unified AI platform spanning infrastructure, tools, and services to make AI accessible and useful for every developer.
- Powerful tools for AI development including deep learning frameworks, coding and management tools, and AI services for tasks like computer vision, natural language processing, and more.
- Capabilities for training models at scale using GPU accelerated compute on Azure and deploying trained models as web APIs, mobile apps, or other applications.
- A focus on trusted, responsible, and inclusive AI that puts users in control and augments rather than replaces human
Aashirwad Kashyap is a third year B. Tech student studying Computer Science and Engineering at Indian Institute of Technology Ropar. He has technical skills in languages like C, C++, Java, Python and operating systems like Windows, Linux, and UNIX. Some of his projects include email fraud detection using machine learning, a three way security check system using face and voice recognition with machine learning and fingerprint scanning with image processing, and a weather app for Android. He is a member of the InterIIT volleyball team and the coding club at IIT Ropar.
Machine Learning & Cyber Security: Detecting Malicious URLs in the HaystackAlistair Gillespie
This document discusses using machine learning and Python to detect malicious URLs. It presents a threat science framework with stages including know the user, know the threat, data acquisition and understanding, feature engineering, modeling and evaluation, and deployment. For detecting malicious URLs specifically, it describes collecting benign and malicious URL data, exploring and engineering features, using models like random forest and deep neural networks, and evaluating performance with metrics like F1 score and confusion matrices. Parameter tuning and model explainability are also covered. The overall goal is to build an intelligent ecosystem of ML models to provide superior cyber defense against evolving threats.
A new look into web application reconnaissance SensePost
Presentation by Jurgens van der Merwe at ZaCon 2 in 2010.
This presentation is about Selenium, a browser automation framework and its applications in web reconnaissance. Examples of using Selenium with facebook are discussed.
different fields of technology as information technol0gy computer science, Artifical intaligence ,mechine larning, web development, game development , quantum computing , cloud computing ,BIo informatics ,Networking , application development ,
Introduction to Information and Education Technology 1Mohamed EL Zayat
This document provides an introduction to information and educational technology. It discusses the scope of information technology including its components like computers, communication technologies, and how they are used to store, process, distribute, and access data. It also covers basic computer hardware and software concepts such as computer architecture, computer organization, system software, and different types of application software including examples. Finally, it discusses computer peripherals and aspects of human-computer interaction.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
Into the twilight zone innovations for educationCynthia Calongne
Ten Colorado Technical University doctoral students and Dr. Cynthia Calongne presented their paper at the TCC 2011 Worldwide Online Conference April 13, 2011 called Into the Twilight Zone: Innovations for education, virtual worlds and emerging media.
The College of Information Sciences and Technology at Penn State integrates perspectives from various fields to build knowledge and information skills needed in the Information Age. The College offers two majors: IST, where students learn to design, analyze, and make use of information technologies to help people, and SRA, where students help others make informed decisions when information or people are at risk. In both majors, students explore how people interact with and organize information using technology.
Security in the age of Artificial IntelligenceFaction XYZ
The document discusses how artificial intelligence will impact security and introduces both opportunities and challenges. It describes current AI techniques like deep learning and how they are being applied to security domains such as malware detection, network anomaly detection, and insider threat detection. While AI has the potential to make systems more scalable and adaptive, it also introduces new vulnerabilities if misused to generate sophisticated attacks. The document argues for developing morality systems to ensure autonomous systems continue making moral decisions even if compromised.
The Impact of Emerging Technology on Digital TransformationRichard Esplin
Keynote given by John Newton, CTO at Alfresco, during Alfresco DevCon 2018.
Content management has been called a mature discipline, but emerging technologies like machine learning, cloud services, consumer friendly interfaces, and the block chain promise new capabilities that we need to be prepared to embrace in order for our organizations to successfully navigate the industry's digital transformation.
https://www.youtube.com/watch?v=VwC_Ko6Wk-0&list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&index=2
Computer courses in Chandigarh Sector 34.pptxasmeerana605
Computer Science is the study of computers and computational systems, including their theoretical foundations, hardware and software design, and applications.
It is a crucial field that drives technological advancements and shapes our modern digital world.
Computer Science has its origins dating back to the 17th century with the work of pioneers like Charles Babbage and Ada Lovelace.
It encompasses various branches, including computer architecture, programming languages, algorithms, databases, networking, and artificial intelligence.
This document provides an overview of software engineering, including:
- Different types of software like system software, business software, embedded software, and more
- Essential attributes of good software like maintainability, dependability, usability, and reliability
- The roles of software engineers in capturing business needs to specify system blueprints for programmers
- Why software engineering is difficult because it involves both the software and problem domains
- Common jobs in software engineering like systems analyst, programmer, project manager, and tester
- Important skills for software engineers like communication, feedback, analysis, and project management
- The phased process of software development including requirements, design, construction, testing, and maintenance
- Different software development methodologies
The document discusses Jurgens van der Merwe, a junior analyst at SensePost whose interests include information security, innovative technologies, music, and skateboarding. It then provides an overview of the Selenium browser automation framework, which allows testing of web applications through programmatically controlling browsers. It can automate workflows, extract data from pages, and more. The document discusses some examples of what can be done with Selenium and also addresses some challenges like latency.
This curriculum vitae summarizes Shaun D'Souza's experience and qualifications. He has over 12 years of experience in areas including AI, machine learning, software engineering, research and development, and business. He has a Master's degree in Electrical Engineering and has worked on projects involving machine learning algorithms, compilers, algorithms, systems design, and more. He has published papers and been granted a patent related to extracting information from unstructured text.
Hussien Ezzat Mahmoud Ahmed is seeking a job opportunity in web development and management. He has a 9-month diploma in software development from ITI and a B.Sc. in Computer Science from Ain Shams University. He has worked as a web developer and has skills in programming languages like C#, C++, ASP.Net, and front-end technologies like HTML, CSS, JavaScript. He is proficient in tools like Visual Studio and databases like SQL Server and Neo4j.
The document discusses Microsoft's approach to artificial intelligence and machine learning. It aims to make AI available to everyone through products like Cortana, Office 365, Dynamics 365, and Azure services. It describes Microsoft's research in areas like cloud computing, big data, and powerful algorithms. The document also provides examples of Microsoft's AI portfolio including agent applications, services, infrastructure, and tools to build custom solutions. It demonstrates tools like Azure Machine Learning Studio, the Data Science Virtual Machine, and Azure Cognitive Services.
Harshal Govind has experience developing embedded systems and firmware. He has a Master's degree in Computer Engineering from Missouri University of Science and Technology with a 4.0 GPA. He has worked on product development at MYNAH Technology implementing communication protocols and porting firmware. He also has experience validating embedded software and developing Linux device drivers at KPIT Cummins Info system Ltd. His technical skills include C, C++, embedded Linux, and architectures like ARM and x86.
Similar to Computer science department - a four page presentation (20)
A proposal I wrote for "Lemasr", an organization for supporting development in Egypt. I thought the information contained within might be useful to more people.
Note: Pages 10-15 were taken from a presentation by Jeanette M. Wing, with permission. The original presentation is here: http://exploringcs.org/wp-content/uploads/2010/09/Wing08.ppt
A Summary of C++ syntax for beginners, in Arabic.
This document was originally sketched on paper, and meticulously converted into Powerpoint by FCIS student Eman Reda
This document provides an introduction to creating and using classes in C#. Key points covered include defining classes with fields, methods, and constructors; using accessibility modifiers like public and private; calling methods and using the this keyword; creating static methods; and using listboxes, comboboxes, and events for selection changes. Examples are provided for defining classes, constructors, static and instance methods, and populating and accessing selection properties of list and combo boxes.
This document provides an introduction and overview of various C# concepts including references and value types, arrays, generics, collections like List<T>, foreach loops, graphics drawing with System.Drawing.Graphics, and keyboard input handling using events like KeyDown, KeyPress, and KeyUp. It includes code examples and explanations of commonly used classes.
This document introduces C# and object-oriented programming concepts. It discusses event-driven programming, using objects to model problems, and the basic elements of objects like classes, fields, methods, and properties. It provides examples of modeling word processors, strategy games, and operating systems with objects. The document also demonstrates creating a simple GUI application without designers and discusses namespaces, instantiation, and calling methods and properties in C#.
This document provides an introduction and overview of inheritance in C#, including:
- Inheritance allows classes to extend existing classes, inheriting members and behavior
- Derived classes can call base class constructors via the base keyword
- The protected keyword controls accessibility for inherited members
- Virtual and override enable dynamic binding and polymorphism by allowing derived classes to override base class methods
- Abstract classes define common interfaces for derived classes to implement
Presentation skills for Graduation projectsmohamedsamyali
The document provides tips for giving effective presentations. It advises the presenter to know their goals and audience, focus on what matters most by emphasizing goals and removing distractions, be professional in appearance and manner, and be confident through preparation and enthusiasm. Key points include understanding the audience's background and expectations, matching the presentation style and level of detail to the goal of informing, persuading, or reporting, and answering questions professionally while staying focused on the topic.
In 2010 we had the idea to have multiple graduation projects with common themes. The themes selected for that year were "Arabic NLP" and "Pen computing". This presentation outlined the two themes and suggested several project ideas for them (and some GP ideas not related to the two themes),
The Unbelievable Tale of Dwayne Johnson Kidnapping: A Riveting Sagagreendigital
Introduction
The notion of Dwayne Johnson kidnapping seems straight out of a Hollywood thriller. Dwayne "The Rock" Johnson, known for his larger-than-life persona, immense popularity. and action-packed filmography, is the last person anyone would envision being a victim of kidnapping. Yet, the bizarre and riveting tale of such an incident, filled with twists and turns. has captured the imagination of many. In this article, we delve into the intricate details of this astonishing event. exploring every aspect, from the dramatic rescue operation to the aftermath and the lessons learned.
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The Origins of the Dwayne Johnson Kidnapping Saga
Dwayne Johnson: A Brief Background
Before discussing the specifics of the kidnapping. it is crucial to understand who Dwayne Johnson is and why his kidnapping would be so significant. Born May 2, 1972, Dwayne Douglas Johnson is an American actor, producer, businessman. and former professional wrestler. Known by his ring name, "The Rock," he gained fame in the World Wrestling Federation (WWF, now WWE) before transitioning to a successful career in Hollywood.
Johnson's filmography includes blockbuster hits such as "The Fast and the Furious" series, "Jumanji," "Moana," and "San Andreas." His charismatic personality, impressive physique. and action-star status have made him a beloved figure worldwide. Thus, the news of his kidnapping would send shockwaves across the globe.
Setting the Scene: The Day of the Kidnapping
The incident of Dwayne Johnson's kidnapping began on an ordinary day. Johnson was filming his latest high-octane action film set to break box office records. The location was a remote yet scenic area. chosen for its rugged terrain and breathtaking vistas. perfect for the film's climactic scenes.
But, beneath the veneer of normalcy, a sinister plot was unfolding. Unbeknownst to Johnson and his team, a group of criminals had planned his abduction. hoping to leverage his celebrity status for a hefty ransom. The stage was set for an event that would soon dominate worldwide headlines and social media feeds.
The Abduction: Unfolding the Dwayne Johnson Kidnapping
The Moment of Capture
On the day of the kidnapping, everything seemed to be proceeding as usual on set. Johnson and his co-stars and crew were engrossed in shooting a particularly demanding scene. As the day wore on, the production team took a short break. providing the kidnappers with the perfect opportunity to strike.
The abduction was executed with military precision. A group of masked men, armed and organized, infiltrated the set. They created chaos, taking advantage of the confusion to isolate Johnson. Johnson was outnumbered and caught off guard despite his formidable strength and fighting skills. The kidnappers overpowered him, bundled him into a waiting vehicle. and sped away, leaving everyone on set in a state of shock and disbelief.
The Immediate Aftermath
The immediate aftermath of the Dwayne Johnson kidnappin
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Leonardo DiCaprio House: A Journey Through His Extravagant Real Estate Portfoliogreendigital
Introduction
Leonardo DiCaprio, A name synonymous with Hollywood excellence. is not only known for his stellar acting career but also for his impressive real estate investments. The "Leonardo DiCaprio house" is a topic that piques the interest of many. as the Oscar-winning actor has amassed a diverse portfolio of luxurious properties. DiCaprio's homes reflect his varied tastes and commitment to sustainability. from retreats to historic mansions. This article will delve into the fascinating world of Leonardo DiCaprio's real estate. Exploring the details of his most notable residences. and the unique aspects that make them stand out.
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Leonardo DiCaprio House: Malibu Beachfront Retreat
A Prime Location
His Malibu beachfront house is one of the most famous properties in Leonardo DiCaprio's real estate portfolio. Situated in the exclusive Carbon Beach. also known as "Billionaire's Beach," this property boasts stunning ocean views and private beach access. The "Leonardo DiCaprio house" in Malibu is a testament to the actor's love for the sea and his penchant for luxurious living.
Architectural Highlights
The Malibu house features a modern design with clean lines, large windows. and open spaces blending indoor and outdoor living. The expansive deck and patio areas provide ample space for entertaining guests or enjoying a quiet sunset. The house has state-of-the-art amenities. including a gourmet kitchen, a home theatre, and many guest suites.
Sustainable Features
Leonardo DiCaprio is a well-known environmental activist. whose Malibu house reflects his commitment to sustainability. The property incorporates solar panels, energy-efficient appliances, and sustainable building materials. The landscaping around the house is also designed to be water-efficient. featuring drought-resistant plants and intelligent irrigation systems.
Leonardo DiCaprio House: Hollywood Hills Hideaway
Privacy and Seclusion
Another remarkable property in Leonardo DiCaprio's collection is his Hollywood Hills house. This secluded retreat offers privacy and tranquility. making it an ideal escape from the hustle and bustle of Los Angeles. The "Leonardo DiCaprio house" in Hollywood Hills nestled among lush greenery. and offers panoramic views of the city and surrounding landscapes.
Design and Amenities
The Hollywood Hills house is a mid-century modern gem characterized by its sleek design and floor-to-ceiling windows. The open-concept living space is perfect for entertaining. while the cozy bedrooms provide a comfortable retreat. The property also features a swimming pool, and outdoor dining area. and a spacious deck that overlooks the cityscape.
Environmental Initiatives
The Hollywood Hills house incorporates several green features that are in line with DiCaprio's environmental values. The home has solar panels, energy-efficient lighting, and a rainwater harvesting system. Additionally, the landscaping designed to support local wildlife and promote
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Introduction
Leonardo DiCaprio is synonymous with Hollywood stardom and acclaimed performances. has a unique connection with one of America's most beloved sports events—the Super Bowl. The "Leonardo DiCaprio Super Bowl" phenomenon combines the worlds of cinema and sports. drawing attention from fans of both domains. This article delves into the multifaceted relationship between DiCaprio and the Super Bowl. exploring his appearances at the event, His involvement in Super Bowl advertisements. and his cultural impact that bridges the gap between these two massive entertainment industries.
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Leonardo DiCaprio: The Hollywood Icon
Early Life and Career Beginnings
Leonardo Wilhelm DiCaprio was born in Los Angeles, California, on November 11, 1974. His journey to stardom began at a young age with roles in television commercials and educational programs. DiCaprio's breakthrough came with his portrayal of Luke Brower in the sitcom "Growing Pains" and later as Tobias Wolff in "This Boy's Life" (1993). where he starred alongside Robert De Niro.
Rise to Stardom
DiCaprio's career skyrocketed with his performance in "What's Eating Gilbert Grape" (1993). earning him his first Academy Award nomination. He continued to gain acclaim with roles in "Romeo + Juliet" (1996) and "Titanic" (1997). the latter of which cemented his status as a global superstar. Over the years, DiCaprio has showcased his versatility in films like "The Aviator" (2004). "Start" (2010), and "The Revenant" (2015), for which he finally won an Academy Award for Best Actor.
Environmental Activism
Beyond his film career, DiCaprio is also renowned for his environmental activism. He established the Leonardo DiCaprio Foundation in 1998, focusing on global conservation efforts. His commitment to ecological issues often intersects with his public appearances. including those related to the Super Bowl.
The Super Bowl: An American Institution
History and Significance
The Super Bowl is the National Football League (NFL) championship game. is one of the most-watched sporting events in the world. First played in 1967, the Super Bowl has evolved into a cultural phenomenon. featuring high-profile halftime shows, memorable advertisements, and significant media coverage. The event attracts a diverse audience, from avid sports fans to casual viewers. making it a prime platform for celebrities to appear.
Entertainment and Advertisements
The Super Bowl is not only about football but also about entertainment. The halftime show features performances by some of the biggest names in the music industry. while the commercials are often as anticipated as the game itself. Companies invest millions in Super Bowl ads. creating iconic and sometimes controversial commercials that capture public attention.
Leonardo DiCaprio's Super Bowl Appearances
A Celebrity Among the Fans
Leonardo DiCaprio's presence at the Super Bowl has noted several times. As a high-profile celebrity. DiCaprio attracts
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