CCE 106 L - Asynchronous Activity 1
This lesson covers a number of key technical developments and their effects. One of these advancements is Radio Frequency Identification (RFID), a wireless, non-contact device that transmits data from a tag attached to an object using radio-frequency electromagnetic waves. This makes automatic tracking and identification possible, which improves productivity across a range of sectors. 3D printing, which makes it possible to produce actual items from digital models, is another ground-breaking innovation discussed. This procedure entails creating a model, sending the file to a 3D printer, and then creating a physical product. 3D printing, which was first introduced in the 1980s under the name "rapid prototyping," has completely altered manufacturing and product development. The concept of biometrics is described as the identification of people based on their particular characteristics. In computer science, this idea is used for access control and identification. Diverse biometric measures are obtained and processed for various recognition and authentication systems through the development of algorithms and sensors.
Innovation drives the creation of new technologies, which has a substantial positive impact on economic growth. Significant funds and effort are dedicated to their progress. The interconnection of technology and society as well as the ability of these breakthroughs to affect society serve as two major characteristics of technological revolutions that support this. The financial-agricultural, industrial, technological, and information and telecommunications revolutions are only a few examples of how different industries and civilizations have undergone revolutions. Technology like Amazon Web Services (AWS), a cloud computing platform that provides a combination of services for cloud infrastructure, platforms, and applications, is covered as part of the exploration of the field of software development. Similar to that, the importance of the open-source framework Big Data Hadoop for handling and analyzing huge datasets is emphasized. Apache Hadoop, Apache Spark, machine learning, and general-purpose programming languages are among the talents needed for big data developers.
A rising field that calls for a mix of math, statistics, computer expertise, and business understanding is data science. The Python programming language is emphasized as a flexible and simple language that is widely utilized in software development. Its popularity is fueled in part by its high-level data structures and simplicity. In the context of web development, Angular and Node.js are examined. With support for desktop, mobile, and online platforms, Angular 2+ is a cutting-edge framework for creating web-based applications. Node.js is a cross-platform runtime environment with an event-driven, non-blocking IO architecture suited for networking and server-side applications.
As indicated by the ongoing inflow of Android apps on stores like Play Store, the lecture also covers Android app development, which is still a hot topic in IT. In addition, the importance of software testing, the ASP.NET MVC framework for building web apps, and Vue.js for creating user interfaces is covered. As we turn our attention to hardware creation, Arduino, a microcontroller board used for data analysis and control, is presented. Based on the ATmega328P microcontroller, the Arduino Uno has USB connection, analog inputs, digital input/output ports, and more. By offering a user-friendly hardware and software environment for developing control systems, this open-source platform makes electrical prototyping simpler.
This thorough lesson covers a wide range of technical innovations, including RFID, 3D printing, biometrics, new technologies, software creation, and hardware innovation. Each of these developments adds to the changing technological environment, reshaping industries and societies as they grow and mature.
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