NaremanKhaled
10+ Views

ما هي المهارات المطلوبة للعمل في مجال الهندسة المدنية؟


هناك مجموعة من المهارات الأساسية التي يجب أن يتصف بها أي مهندس مدني ناجح، وتتمثل فيما يلي:
1- التفكير النقدي 
يجب أن يتمتع أي مهندس مدني بالقدرة على التفكير النقدي حتى يتعين عليه حل المشكلات التقنية المعقدة، والتوصل إلى حلول مبتكرة، ويجب أن تكون هذه الحلول آمنة وفعالة.

2-القيادة
أيضًا  يجب أن تتمتع بمهارات قيادة عالية حتى تتمكن من إدارة فريق من المهندسين أو المقاولين.

3- مهارات تقنية
تعتبر المهارات التقنية ضرورية جدًا لضمان أن تكون المشاريع المدنية التي تعمل عليها سليمة من الناحية الهيكلية.
لذا يجب أن تملك معرفة كافية بالحاسوب والتقنيات الحديثة، وطرق استخدامها. فبدلًا من  أن تقضي الوقت الطويل يرسم التفاصيل الإنشائية وتحسب التسليح وترسم القضبان بتفاصيل تسليحها، يمكنك أن تلجأ اليوم للحاسب و تطبيقاته الرائعة والتي توفر كثيراً من الجهد والوقت.

4- القدرة على حل المشكلات 
حيث دائمًا ما ستواجهك المشكلات أثناء العمل؛ لذا يجب أن تتمتع بقدرة على حل المشكلات.

Comment
Suggested
Recent
Cards you may also be interested in
React Native Future: Development Scope and Expert’s view | Optymize
React Native is one of the revolutionary frameworks that directed mobile app development in a whole different direction with its ability to produce applications for multiple platforms. Developed by Facebook, it initially used Apple’s repository to build iOS applications and gain traction among iPhone users, but since the number of Android users rose at an exponential rate, Facebook adapted an entirely new repository to build both the iOS and Android applications. Currently, in 2022, 6.6 billion people are operating on either of these platforms and are using applications in their daily lives. Having analyzed the need, React Native developers brought a solution to serve their needs by producing applications for both platforms using the same code. Indeed, it has become the most popular tool for millions of developers. But nowadays, many frameworks are capable of building multi platform applications. React Native is constantly put under various arguments, and one of these is about the future of React Native and whether it will serve both platforms in the future. And to answer these arguments, our article on what the future scope of React Native is in 2022 will help you and many developers understand its trajectory and whether it’s worth learning or not. What is React Native Framework? React Native is a JavaScript framework that is used by developers to build multi platform applications, such as for iOS, macOS, Android, Windows, and many others. It is based on Facebook’s JavaScript library, which is used to build interfaces for web applications, but instead of targeting web applications, React Native opts for mobile platforms. In other words, it means even web developers can build native apps that reflect similar aesthetics to web applications. And this hugely benefits many businesses and startups to gain traction among mobile platform audiences. Why Is React Native So Popular? Popularity tends to increase when the tool provides some unique features that developers desperately need, and React Native exactly does the same. For this reason, it has been considered by popular brands such as Facebook, Tesla, Ubereats, Instagram, Airbnb, and Discord and many others. which further increases its popularity because consumers favor products offered by the most cutting-edge tech companies. Moreover, React’s native functionalities, portability, and reliability stand out from other frameworks, which makes it a unique and effective tool. Apart from this, its quick operations speed up the development procedures to deliver software products within deadlines. And we all know how crucial meeting deadlines are. That’s why developers prefer React Native as the best weapon in their arsenal. React Native future heavily relies on developer satisfaction, and the community is promising to do so. Another fantastic feature of React Native is that it allows programmers to reuse existing code from one application to improve and implement it in another, saving a ton of time and allowing programmers to concentrate more on adding new features to the app. According to the above Google trend stats, the popularity of React Natives has been increasing for the past few years and still tops the chart. This shows how React Native’s future is still promising and the tool is widely accepted by developers to boost their React Native development process. React Native Vs Flutter 2022 Both React Native and Flutter are ideal frameworks for building cross platform mobile applications. Though they are rivals, they have a similar goal, i.e., to provide the best performing mobile application for users. It’s not easy to comprehend which one is best as both have pros and cons that make them unique, but still, to glance at the React Native future, a comparison between React Native and Flutter will clarify many development aspects. 1. The Tech Stack The prime difference between the two is that they run on different programming languages. For instance, Flutter has its own native programming language, Dart, that can be used to build mobile applications. whereas React Native heavily depends on the most widely used programming language in the world, i.e., JavaScript. And many will agree with us that JavaScript is widely used, and choosing React Native for mobile app development will make more sense. On the other hand, Flutter requires knowledge of the Dart programming language, which should be first learned in order to opt for the Flutter ecosystem. 2. Cross-Platform Development When it comes to cross-platform development, both React Native and Flutter offer similar features and functionalities for developing a mobile application(excluding some inbuilt unique features). React was initially built to streamline the development process for both platforms, and React Native future lies on the foundation of performance improvement and ease of development. On the other hand, Flutter was built to make the application development process easier and more accessible using its Dart programming language, which is easy to learn. The difference between the two is that in React, the UI components and code are not shared between iOS and Android, but rather are bundled separately for the UI using JavaScript. On the other hand, the UI and code components are shared between iOS and Android, which makes it much faster. 3. Performance React Native is equipped with the improved JavaScript Virtual Machine, which gives it a speedy compile time with the JIT compiler. Again, you can ship the codes whenever required to get them executed in the native. Moreover, React Native offers nearly identical performance to a native iOS application, which is a plus point for React Native future aspects. On the contrary, Flutter comes with its own improved compiler which loads codes for both the iOS and Android platforms. Because here, unlike with React Native, you don’t have to ship the codes, and because of this, you get faster native performance once you finish the project. 4. Learning Curve Every developer considers the learning curve before choosing new frameworks and tech stacks. Because an easy learning curve saves time. React Native future is appealing as it is a dream framework for developers. It runs on the JavaScript programming language. And since the majority of developers worldwide are familiar with JavaScript, they can choose this React Native with ease. Flutter, on the other hand, employs the Dart programming language, which a lot of developers might not even be familiar with. The Dart programming language has been acknowledged as the most user-friendly language, despite the fact that many people are unaware of its development ecosystem. Even some of the new Dart users claim that learning it only takes a weekend. Therefore, we strongly advise using both frameworks at least once. This will allow you to evaluate them both in-depth and determine which one best suits your requirements. Because as a developer, your choice will be responsible for React Native’s future or Flutter’s future. Does React Native Have a Future? Now we will discuss the React Native future. We have mentioned some of the factors below which will help us determine the react native future. And as a spoiler, we shall say that the react native future is more than bright. These factors boldly say that React is here to stay and will provide developers with enhanced features to elevate their development process. 1. Popularity One of the important factors responsible for React Native future is its popularity. As discussed earlier, the popularity of React Native has been increasing for the past few years because it offers a whole new pipeline to work on building cross platform applications. Developers always look for a solution that can survive in the long run and, as it is used by many popular tech giants in their daily operations, hence it is safe to say that it will be serving a huge audience for a longer period. 2. Huge Community Support Another important factor for a bright react native future is the active developer’s community. It will support you whenever you run into any difficulties. React Native is used by millions of developers worldwide, and there is no doubt that its community may already be filled with experts and tech professionals that can answer your queries and even refer you for a job role. 3. Regular Upgradation One of the most promising aspects of React Native future is that this framework helps provide new updates to various applications so the users can enjoy the up to date features of an application. Sure, you might say that it’s nothing new since apps get frequent updates from the app store or play store. This is where things are different. Unlike any platform, React Native makes updates available through the app only, so no more relying on getting approval from the app store to publish the latest update. And as new technological enhancements polish the framework, the React Native new features will further boost developers’ development speed, which again will boost its popularity and the React Native future will become more promising. Is React Native worth it in 2022? React Native future heavily depends upon ease learning programming language, community and other tech giants support and technological enhancements. As we discussed earlier, React Native is one of the best frameworks if you want to build a cross platform mobile application. Considering it uses the most popular and well known programming language, it makes it easy for new as well as experienced developers to begin their journey of app development. Apart from this, considering the popularity of React Naive, it’s safe to say that you won’t regret adapting to its ecosystem, as it is heavily supported by its community and Facebook. Not to forget, it has all the necessary features and functionalities that you need for developing a mobile app. Moreover, as millions of developers use JavaScript in their daily life, chances are they will adapt to this framework, giving a huge boost to React Native future. But if you are a fresher who is just beginning your career in mobile development, then you may struggle a bit. Still, it will be worth it as you will enjoy developing apps using React Native. What Is the Future Scope of React Native? React Native has been used among developers for more than 6 years now, and certainly gained momentum because of its appreciation among tech giants. However, React Native future scope is promising and is considered as the framework ahead of time. In this digital age, we find every application that serves a particular service, such as food delivery, shopping, real estate, and many others. Before, we used to rely on stores and agents to get the items we wanted, but technology changed everything. React Native is boosting the entire IT ecosystem by making applications available at users’ fingertips. For this reason, even with the argument of React Native Future 2022, it is still the most robust tool that can transform the entire IT industry. Furthermore, React is working on a large-scale project known as the Fabric, which aims to enhance React Native by making it more responsive and flexible. It will also push the framework to adapt to a hybrid JavaScript based infrastructure. The Fabric project has already started enhancing React Native with its new threading model, async rendering capabilities, and simplified bridges. These and other changes will make React Native more agile and performative in the future, and hence the React Native future will be brighter than ever. Conclusion React Native future has been enhanced with its foundation of building cross platform mobile applications. Many tech giants rely on this framework to build and keep their mobile application up to date and this is one of the reasons behind its popularity. Although looking at its offerings, React Native provides the best features and functionalities to elevate the mobile app development process. The React Native future is still and will be promising because it is undergoing technological enhancements such as the Fabric project. Apart from this, as the number of mobile users increases, the need to develop applications will gain huge momentum, and indeed, React Native will shoulder this opportunity and provide users with the up to date applications.
Top 10 Full-stack Project Ideas for Beginners | Optymize
Projects are the best practices to polish your programming skills and elevate them to the next level. From software development to fullstack development every other domain requires robust technical skills to develop effective solutions. But how can one acquire these skills? Well, the only way to do so is by working on different types of projects. Fullstack development has been experiencing a huge demand these days and if you are one of the aspiring fullstack developers who want to work in this domain and don’t know where to begin and what projects you should build, then this article is for you as in this we will cover top 10 fullstack project ideas for beginners that will help them elevate their fullstack knowledge and get well versed with its latest technologies. What is Fullstack Fullstack is the combinational study and IT practices of server-side backend codes and frontend designs. It heavily focuses on delivering applications by working on both of these parts for faster development practices. Previously only backend and frontend developers used to work on either part of the application but as the fullstack concept emerged the developers were eager to explore both sides to understand the whole application deeply and implement functionalities more effectively. Why Fullstack Projects If a student wants to work on the core development and frontend part of the application then he can opt for a fullstack project as it will give him deep insights into how the code is attached to the frontend part, and how it functions and how it executes on the frontend side. Moreover, he can greatly improve his knowledge in both parts giving him an edge over his competitors pursuing a career in IT firms. In this article, we will cover some of the best full stack projects for portfolio and resume that will elevate your chances of getting hired. Moreover, you can find below enlisted full stack projects with source codes on GitHub and other version control systems. Top 10 Full Stack Projects 1. Notes App Notes Application is the easiest approach to get started with fullstack projects, notes apps have become today’s necessity as they allow users to write down important things such as names of business clients, conference timings, shopping lists and much more. So you can start off with a frontend design such as a simple rectangle or a square then attach that layout part with backend codes and database with SQL. How it will uplift your Fullstack Skills Building notes app will give a solid boost to your fullstack knowledge as it will enhance your frontend skills by building layouts, UI design and its margin etc. apart from this you will become familiar with the backend concepts such as backend logic, server-side database management etc. moreover you will get hands-on experience on using database tools and other frameworks. 2. Portfolio Website Portfolio websites are great for showcasing your achievements, skill sets and your career objectives, they also play a crucial role in getting you a good job. For this reason, you can develop your own portfolio website using different CSS methodologies which can attract every eye. You may need to get started with some of the web development essentials and learn HTML, CSS and JavaScript for a better understanding of how to approach the projects and what core part should be covered first. How it will uplift your fullstack skills Portfolio website building enhances your web development skills, which includes working on frontend parts such as layouts and UI design parts and adding different styles to the page layout. Also, it will make you dive deep into how the backend part of a website works and you will get to know how the frontend part communicates with the backend codes and vice versa. You will also be able to include buttons and links that will navigate users to other social or other developer’s community sites or your professional profile such as LinkedIn and GitHub. 3. Actual Website Actual website is one of the best fullstack projects if you want to enter the web development domain, first of all, you have to plan your project according to your ideas, then find out the resources you would need such as frameworks that you want to use, programming language on which this project should be built on. Website building can be a great project as you can add new functionalities whenever you get new ideas so you can include them on websites, such as profile options, login menu, chat options and many other things. No doubt you can further enhance it with new functions which will let you polish your skills like an actual web developer. How it will uplift your Fullstack skills This project will enhance your skills in every other area of web development from front to backend and database. As this project can be further updated you can work on it from basics and add features when you learn about the implementation of new functionalities. You will learn how to attach the front-end part of the website to the backend part, also you will get deep insights into server-side rendering and how a website is displayed to the client-side part. Moreover, you can even deploy your website on a server. 4. To-do List Application Our lives these days are full of activities, from exercise to office work tasks we keep a checklist to make sure we don’t miss out on any of the activities. This is where the to-do list application comes in handy as it lets us perform our activities. It’s one of the easiest projects that you can build similar to a note’s application. It will only require a strikethrough feature which can be used whenever we complete that particular task. How it will uplift your fullstack skills Building a notes app will enhance your problem-solving skills and creative thinking. You will be able to manage databases and how they are stored and deleted as notes will allow you to delete the data once you are done completing that task. It will also boost your ability to work on memory allocation and help you understand some of the essentials of data structure such as how the heap and stack memory works. By learning these skills you can go ahead and build complex fullstack projects. 5. Messaging/Chat Application Messaging apps are a necessity of today’s generation as they allow us to stay connected to our families and friends. You can go to GitHub and find codes for messaging applications to understand how it’s built and what functionalities it has, accordingly you can design your messaging application to function similar to WhatsApp, Telegram or Facebook. You can even include some new features that may attract recruiters around the world. How it will uplift your fullstack skills You will enjoy working on this project as you will get to know how a chat application works, and how it delivers messages to that particular person. You will get aware of the application development and tools and frameworks required for building this project, and learn technical concepts such as authentications, chat app protocols and messages markup languages(MML). You will also learn about the communication tools such as socket.io and firebase, which will let you connect your application to another device with a similar application. 6. E-commerce Site E-commerce sites these days have become the new norm in the online shopping industry, hence you can take advantage of its growing popularity and build an e-commerce site similar to Amazon as it’s one of the best full stack projects for resume. Start off with some open-source codes that will direct you to work on the pipeline of the project, then determine what kind of e-commerce site you want to build like for electronics equipment or clothing, accordingly you can work on the UI and UX design and move to backend logic where you have to create classes for various functionalities. How it will uplift your fullstack skills The E-commerce site will allow you to work on different technical aspects such as using the fullstack frameworks such as Django, Ruby on Rails and Bootstrap for autoconfiguration of the codebases so you can concentrate on the convention rather than worrying about configurations. You will be heavily focused on system design, OOPs concepts and data structure part as it’s a bit of a complex project model. 7. Involvement in Open-Source Projects Contributing to open-source fullstack projects is the best beginner’s project idea as you will gain real-world experience working on mega projects. You can just visit Google summer of code and other open-source platforms such as GitHub to start looking for the right project and contribute to it as per your level of expertise. One might ask mega projects require a ton of experience, right? Well, that’s not the case, anyone can contribute to open-source projects, even a beginner. Contribute as per your skill sets and known programming languages and you may get recognition and get recruited by open-source IT giants. How it Will Uplift You Fullstack Skills The open-source contribution could elevate your career to the next level so we highly suggest everyone to try and contribute as much as they can, while you opt for projects do make sure that the project is relevant to your programming language. Like a project might be built on java python or any other language. You will gain exceptional knowledge working on mega projects as you will be interacting with elite talented developers worldwide. By interacting you will dive deep into a particular project and learn about its architecture, how the system is designed, how the backend communicates with the frontend parts, networking protocols and server knowledge. 8. Video Conferencing Application Video conferencing has become essential for teams to stay connected as events of covid forced everyone to work from home, without these platforms’ businesses will be devastated as they won’t be able to communicate to their clients and employees and get crucial information. Hence, it’s one of the ideal fullstack projects, you can start building your own video conferencing application which will allow teams to stay connected to each other. How it Will Uplift Your Fullstack Skills You will get profound knowledge of UI and UX designs, you will get to learn different video streaming protocols such as webRTC and their functioning. You will also work on API integration of this webRTC protocol and get well versed in how different API communicates and share and retrieve data from each other. Apart from this you will be heavily focusing on MVP(Minimum Viable Product) features that will expand your knowledge on how to implement new ideas and features into your projects. Moreover, you will get an idea of how to integrate the API with the backend data, how the API will communicate through the server, and much more. 9. Social Media Website This project may be the dream of many as social media these days is dominating every corner of the world, most of them are Facebook, Instagram, Telegram, and others. Whenever a new social media website or application gets released, people get excited to try it out and build their reputation on that social. So if you want to become the next Mark Zuckerberg, start building your social media website. How it Will Uplift You Fullstack Skills Social media Websites will expand your knowledge of system design as you have to include functionalities similar to other social media. Apart from this, you will be working on designs and UI of the chatting window as the users like simple interfaces through which they can access what they need. Moreover, it will enhance your backend development knowledge such as its logic and data structure and you can use these experiences in complex fullstack projects. Data Analytics System Similar to Google Analytics Analytics systems are the need of every other firm as they heavily rely on them to get deep insights into their relevant trends and deliver products and services accordingly. Businesses these days pay a big chunk of money to this system for accurate analytical reports and if you think you can make a similar tool that can attract a huge audience then data analytics is the perfect project for you. How it Will Uplift You Fullstack Skills A data analytics project requires dealing with huge data sets and for that, you will be working heavily on building a solution that can provide huge data, so it means you get to work on the database system. Other than this you will be focused on working on data visualization, and demographics which are nothing but the design parts visualized using huge data sets. These tasks will improve your fullstack skills in different technical aspects. Tips For Effective Fullstack Project Implementation 1. Define the scope of your project. 2. List the resources required as per project requirements. 3. Figure out fullstack frameworks, database tools and in-demand fullstack languages for the project. 4. Work on Fullstack project planning. 5. Follow the plan for effective execution. 6. Work on the frontend part first as it will let you know how backend code should be written. 7. Follow the backend process according to the frontend part. 8. Use necessary tools and frameworks for autoconfiguration. 9. Use effective testing tools to identify flaws. 10. Track your progress and create checkpoints to test and move forward with your project. 11. Confirm the final testing of your project and make it available on open-source platforms. Conclusion Fullstack jobs are experiencing a huge demand as they work on both sides of an application to deliver effective solutions at a faster rate. For this reason, full-stack is an ideal domain for students who are seeking a flourishing career. As every journey starts with working on the basics, beginners have to work on the essential parts of the full-stack development technology to build effective software and web applications. If you aim to become a full-stack developer then this article will help you as it encompasses the full-stack project ideas to polish your full-stack skills and get real-world experience.
Trends in social networks 2023
The decalogue of trends for social networks for the coming year, 2023, addresses the issue of a consumer concerned about their privacy, multimedia messages of different lengths, new experiences and message production, among others. Talkwalker, a consumer intelligence acceleration platform, and Khoros, a consumer engagement software and services company, present their annual report on social media trends for 2023. The Social Media Trends 2023 report titled From insights to action: how to stand out before a disruptive consumer, exposes the social media trends that matter most to brands, sales teams and public relations professionals, the concepts that will rule the coming year. The report harnessed Talkwalker's deep social listening and AI analytics capabilities to uncover the 10 most impactful social media trends expected in 2023 and demonstrate how consumers are driving and leading the trends. The report also features input from industry experts such as Rosalva Rivera, UPS Marketing Director for Mexico and Latin America , Rebeca Ricoy, Duolingo Regional Marketing Director, and Ana Marín, Content Marketing Managers Coordinator at Coppel SA de CV El fin de la cookie era, consumers less trackable The final end of third-party cookies will make content less specific and consumers maintain their privacy, taking into account the innovations of the Brave browser or Apple's privacy settings that affect social networks such as Facebook, marks a difficult scenario for monitoring consumers during 2023. Reimagining consumers as communities Influencers, content creators, even employees, are being harnessed to create natural and genuine interactions, with localized content and experiences personalized by and for audiences. The Race for the Metaverse The metaverse is beginning to take shape, with events, families, and even governments entering the realm of Virtual Reality. We will also see further growth of meta monetization. A sustainable future Brands, consumers and society in general are more concerned with sustainability. Reselling and upselling will increase on social media , while brand messaging will focus more on inclusion, social responsibility, and environmental issues . Decentralizing the network Consumers will have the opportunity to expand their data rights, increase their data security, data literacy, the power of the platform, regulation of the same, misinformation and disobedience, radicalization, the role of algorithms in daily life, online happiness, toxicity and bullying. A New Standard in Social Media channels will follow the growing norms and concerns of consumers, continuing to address issues such as fake news, deepfakes, and cybersecurity. More authenticity and integrity is expected on both platforms and the brands that use them. Also check descargar videos de twitter Multi-sensory social networks Social networks will grow as a mix of media, to create an experience for each consumer. Brands will not be able to focus on a single type of format, but will offer short, long, video, audio, visual and even gamification content. A shake up in online shopping The way consumers shop through social media will continue to change. On some platforms, we will see increased focus, while others will withdraw their efforts as they move closer to understanding consumer needs. Cryptocurrencies will also grow in importance, with widespread use possible if they can overcome the hurdle of social commerce. The customer experience becomes even more social Brands are focusing their conversations where their consumers are, with a greater commitment to customer service on social media. The continued impact of the social climate Brands will have to become more empathetic to social changes, while certain marketing techniques will increase, fueled by nostalgia and meme culture. The year 2023 is envisioned as a year in which brands must permeate customer service throughout their entire structure, while generating digital experiences that are memorable. The report is carried out within the framework of the announcement of the strategic association of companies to offer deep social listening and adequate management of social networks through a joint experience.
Structural Engineer In Manchester
What is a structural engineer? A structural engineer is a professional who is trained in the art and science of designing and constructing buildings. Manchester is home to many of these professionals, who work in a variety of different fields. Structural engineers have a deep understanding of the materials that are used to construct buildings, as well as the loads that these materials can bear. They use this knowledge to design safe and efficient structures that can withstand the forces of nature and the weight of human activity. The work of structural engineers is essential to the built environment, and they play a vital role in ensuring that our buildings are safe and stable. In Manchester, these professionals are at the forefront of keeping our city safe and thriving. The role of a structural engineer in Manchester Structural engineers in Manchester play an important role in ensuring the city's infrastructure can withstand the rigours of daily life. They are responsible for designing and overseeing the construction of buildings, bridges, roads and other structures. Manchester is a rapidly growing city with a booming economy. This has led to an increased demand for new buildings and infrastructure. As a result, structural engineers are in high demand. Structural engineers in Manchester are highly skilled professionals who have undergone many years of training. They possess a deep understanding of how buildings and structures are designed and built. This allows them to identify potential problems and offer solutions that can prevent disasters from occurring. The role of a structural engineer in Manchester is vital to the safety and stability of the city. They play a key role in ensuring that the city's infrastructure can cope with the demands of its growing population. The skills and qualifications needed to become a structural engineer A structural engineer is responsible for the design and analysis of buildings, bridges, tunnels, and other structures. In order to become a structural engineer, one must have a bachelor's degree in engineering from an accredited engineering program. Additionally, one must have experience in the field of engineering and pass the Fundamentals of Engineering (FE) exam. Structural engineers are responsible for ensuring that the designs they create are safe and stable. They use their knowledge of physics and mathematics to calculate the loads that a structure can bear without collapsing. In addition to designing new structures, structural engineers also inspect existing ones to ensure that they are still safe. The benefits of working as a structural engineer in Manchester There are many benefits to working as a structural engineer in Manchester. The city is home to a number of world-renowned engineering firms, and there are plenty of opportunities to work on interesting projects. The cost of living in Manchester is relatively low, and the city has a great deal to offer in terms of culture and recreation. The challenges of working as a structural engineer in Manchester As the population of Manchester swells, so does the demand for new buildings and renovations. This presents a unique set of challenges for structural engineers in the city. The first challenge is finding enough qualified workers to complete the projects. The second challenge is getting approval from the city's planning department. The third challenge is dealing with the traffic and congestion in Manchester. Despite these challenges, working as a structural engineer in Manchester can be a rewarding experience. The city is home to some of the world's most famous architects and engineers, and there is a great sense of camaraderie among the engineering community. Conclusion As the city of Manchester continues to grow, so does the demand for qualified structural engineers. The job market for these professionals is expected to continue to grow in the coming years, making it a great time to enter the field. For those who are looking to enter the field of structural engineering, Manchester is a great place to start their career. The city offers a wealth of opportunities for those who are willing to put in the work and there is no shortage of work to be done. With a growing population and an ever-changing landscape, there is always a need for qualified engineers in Manchester.
The Ultimate Guide to Data Science in 2022 | Optymize
What is Data Science The problem faced by many beginners in Data Science, especially those looking for data science jobs is the fact that the field has only recently received clear classification in regards to other disciplines. In the past, it has been suggested as an alternative name to computer science and statistics but it wasn’t until the 21st century that there were any agreed upon parameters for it. However, it still lacks any universally agreed upon definition and as such, sceptics have at times referred to it as nothing more than a buzzword. However, it is generally agreed that data science utilises and unifies theories from multiple fields including but not limited to mathematics, statistics, information science, computer science, etc. It shares a lot of commonalities with the latter two while still having significant differences. Outside of this, to get an idea about the relevance of data science, it has been termed as the “fourth paradigm” science (outside of the pre-existing theoretical, empirical and computational) by Jim Gray, a Turing award winning computer scientist. This article will give a basic walkthrough about the different aspects of data science, ranging from the various roles available to students of data science, the commonalities it has with related fields like information science and computer science, prerequisites for data science, applications of data science and other topics. Prerequisites for Data Science The prerequisites for Data Science vary in specificity depending upon the role in question. As such, listed below are the prerequisites for Data Science at the beginner level. · 1. A working knowledge of statistics. Statistics is arguably the base foundational subject that forms the basis for data science. As such, those seeking a career in data science must possess knowledge about different methodologies that are utilised in data science ranging from bayes theorem to probability theorem. · 2. A data science career possesses the prerequisite of a working knowledge of artificial intelligence, machine learning and neural networks. AI is the branch of computer science that is used to enable machines to mimic human behaviour and a superset of machine and deep learning and neural networks. Machine learning and its algorithm focuses on instructing machines how to learn from data. Machine Learning can be broadly classified into three groups: supervised, unsupervised and reinforcement learning. Neural networks are a processing unit architecture inspired from their biological equivalent. This is a component of AI, ML and DL and it is used to perform data processing through multiple layers of the neurons. · 3. Knowledge of programming skills in high level languages like R and Python along with the associated libraries. They are useful for tasks such as data visualisation and statistical analysis and unlike computer science, only a working knowledge of the higher-level languages instead of the entire range of languages expected for developers. The Steps involved in Solving data science problems: https://optymize.io/blog/the-ultimate-guide-to-data-science-in-2022-updated/ As mentioned before, solving problems using Data Science is a relatively new concept. The idea however, of using data to make predictions using past precedents is hardly alien. As such, the broad steps for solving such problems have been coalesced below, in order to give a general idea about the steps involved: · The Planning Phase · This phase has often been termed as defining problem statements or defining business requirements depending upon the situation in question. Regardless of the situation, this phase in a Data Science project involves a clear definition of the objectives, whether it is in overcoming a problem or fulfilling a requirement. The relevance of this step is in how it allows for project managers to develop a clear plan in regards to the project, in regards to the expected lifetime, budget, resource allocation etc. · Data Collection · The initial and arguably the most fundamental task of data science projects. However, in many original research projects or similar high-end projects there are no clear databases where data comes pre-structured and cleansed. Instead, they have to rely on data scraping or surveying or similar tasks to get the relevant data. · Data Cleaning · This is arguably the most tedious process for Data Science projects and as such, the least liked for Data Scientists. It generally involves removing the redundant or missing data or any other form of data that is unsuitable for the database and its intended project. While it is a time-consuming stage, it is an essential stage in Data Science projects in order to remove the chance of wrong predictions. · Data Analysis · This is the phase of the data science project where relevant information is gathered from the cleaned data. Based on the observation of the patterns and trends gathered from analysing the data, useful information and insights can be gathered. This culminates in the formation for a hypothesis from the data. · Data Modelling · This stage of the Data Science project involves creating a model such as a machine algorithm model to solve the problem. The model is trained and tested using the data and it involves a section of the data. The sections are obtained through the process of Data Splicing. This involves splitting or dividing the entire data into two separate portions for training the model and in testing the efficiency of the data. The two segments are termed as the training data and the testing data set respectively. · Optimisation and Development · The optimisation and deployment are the final steps of the Data Science project’s life cycle. It essentially consists of final tweaking before deployment. Common Jobs to Find in Data Science Despite Data Science lacking a clear universally accepted definition as described before, it has seen rapid growth in terms of people employed who consider themselves to be working under it. Some of the reasons behind it is due to the rapid growth of data generated in many industries, the growth of Big Data and related fields and with a better understanding of what it consists of, allowing for better discoveries of possible applications for Data Science. Some of the most common jobs of Data Science are: 1. Data Scientists Data Scientists are not limited to just analysing data, but also perform additional tasks such as information collection to analysis. This requires a thorough understanding about the data pipeline and data scientists today combine data analysis with data mining, computer science, statistical methods and machine learning. 2. Data Analysts Data analysts often perform the role of entry-level jobs for data scientists. As such the requirements for knowledge fields like programming knowledge, and algorithm creation is much leaner for data analysts rather than for data scientists. They rely on the programming knowledge for collecting, organising and analysing data to gain insight and information to the data. 3. Data Engineers Data engineers unlike the above two are not involved in analytical tasks. Instead. They focus on the architecture and operation of the data pipeline. As such, they are responsible for designing, building and managing the information systems that are responsible for collecting, storing and retrieving the information used by the above two. 4. Data Architects As the name suggests, the relation between this and the former role is similar to that between engineers and architects. As such, data architects are responsible for designing the data management pipeline, while data engineers are mostly responsible for building it. As such, there is a considerable overlap between the two and in smaller companies, a single person may hold both roles. The Comparisons Between Data Science and Similar Fields Previously, it was discussed that the three fields, data science, computer science and information science are similar in nature and not only do they have a lot of commonalities, but they even overlap in some situations. As such, in order to have a clear idea on what the differences between the different fields exist and so, depending on the role, what strengths and weaknesses that they might have. Outside of this, it would also be reasonable to compare the relation between statistics and data science. This is because not only have there been arguments made that data science has descended from statistics, but that data science is nothing more than a synonym for statistics. The arguments against it are that unlike statistics, data science focuses on data that is unique to the digital medium. They both focus on quantitative data but statistics also emphasise data description whereas data science focuses on qualitative data, while emphasising prediction and action. The primary characteristics of data science are as follows: · – Data Science is the study of data, whether it is structured, semi-structured or unstructured in nature. · – Data Scientists collect and analyse data in various forms for applications in order to solve specific questions or problems. · – The primary objectives of data scientists are in data mining i.e. pattern finding in data and data transformation i.e. changing the structure of data. The primary characteristics of computer science are as follows: · – Computer Science focuses on the operation of computer hardware, software and systems. · – Computer scientists focus on the functional workings of computer systems and other aspects of computers and computation. · – The objectives of computer scientists can vary based on their specialisation. These specialisations can include UX/UI design, web or application design or cybersecurity. The primary characteristics of information science are as follows: · – The field of information science is the oldest field of the three, if we consider the older version. In the modern version, Information science can be broadly defined as tackling the problems using the perspective of the stakeholders involved and – applying the information and technology as required. · – Some of the various career choices in information science are information scientists, systems analysts and information professionals. Common Terms for Data Science The field of Data Science has been referred to as being multidisciplinary in nature. As such, there are a lot of terms that those that are interested in the field of data science should know. As such, listed below are some of the terms that are commonly used in data science, often referring to some common methods and tools used there. Some of the examples of unique terms in Data Science include: 5Ps of Data Science: It is an acronym in Data Science that refers to the five factors used in retailers and enterprises to optimise them through Data Science. They refer to product, price, promotion, place and people and tweaking the balance between them is the main objective here. Backpropagation: Backpropagation is a method used to minimise errors in a neural network if the estimated output varies highly from the actual output. It relies on updating weight and bias by determining the error at the output and propagating it back into the networks while updating the weights to minimise the error. It is useful in data science when the people there have to work with neural networks. Bagging: Bagging or bootstrap averaging involves combining multiple predictions from multiple different models to create a final prediction. Bayes Theorem: It is a probability theorem that is used to calculate the conditional probability. The theorem’s formula is as follows: P(A|B) ={P(B|A). P(A)}/P(B). Where the left-hand side refers to the probability of event type B from the complete set of event type A. This is one of the most common probability theories that one can find application in data science. Data Mining: It is the study of extracting useful information from structured or unstructured data. It possesses obvious applications in data science in many occupational roles. Dplyr: Dplyr is a data manipulator package of the R language. It can work with both local and remote datasets for data manipulation and cleaning. Flume: It is a tool designed for streaming data logs into the Hadoop environment. Multiple Flume agents can be configured simultaneously to collect and aggravate the large amounts of data. GGplot2: This is another data visualisation package for the R programming language. The primary purpose of this package is in creating plots. Hadoop: It is an open-source framework that uses parallel processing to handle large quantities of data. Hive: Hive or Apache Hive is a data warehouse software. Hive is built on top of Apache’s previous framework Hadoop. It processes structured data in Hadoop whale providing data summarization, query and analysis through an SQL like interface. Keras: It is a neural network library written in and capable of working with Python. It is capable of running alongside TensorFlow and Theano to make dealing and working with neural networks easier. Conclusion Now, despite the confusion of Data Science’s definition in the early stage, that hasn’t stopped it from growing and with a better idea of what comes under it and what applications it may have, As such, as shown from the points above, there is now a clear idea of how it works, some of the common tools it may have and what it offers for those in the field and what prerequisites are there for data science. https://optymize.io/blog/the-ultimate-guide-to-data-science-in-2022-updated/
Is Automation Killing Manufacturing Jobs?
Since the beginning of the Industrial Revolution, workers have dreaded being replaced by machines and losing their jobs forever. In most cases, these worries have not materialized to their full extent and have largely remained unfounded. However, in a small measure, automation does have an impact on the workforce, especially related to their jobs and wages. But whether that impact is all-pervasive or not leaves plenty of room for discussion. Automation, Wages, and Jobs Automation is known to create as much employment as it eliminates. Workers who are proficient with machines are more productive than those who are not. This lowers the costs of goods and services while giving customers a sense of increased gain. As a result, customers spend more thereby generating additional employment. However, some workers suffer, particularly those who are immediately replaced by robots and have to compete with them. Indeed, since the 1980s, more manufacturing jobs were lost, or people saw their pay drop. It appears digital automation has increased inequality in the labor market. Generally, workers who can supplement the new technology and carry out jobs that are outside the scope of machines, get pay hikes. However, those who perform comparable duties and can be replaced by machines are left in a difficult position. Automation usually results in a transfer of remuneration from employees to company owners, who reap the benefits of increased earnings with reduced labor expenses. It is, therefore, crucial for workers to learn new skills and improve machine compatibility through education and training. Workers who have at least some post secondary credentials often fare better than those who do not. Is New Automation Different? The range of tasks and jobs that machines can perform will increase with the advent of much more sophisticated robotics and artificial intelligence (AI) in the coming decades. This "new automation" has the potential to result in much greater worker displacement and inequality than previous waves of automation. More than in the past, this may have a significant impact on college graduates and professionals. The issues that many employees will encounter as a result of automation will grow. But AI will also help raise their living standards by increasing productivity. To ensure that employees can adapt and the advantages of automation are well distributed, there is a need to enact more enabling legislative solutions. The Rise of Better Policies Education and training should embrace new and improved laws for the creation of jobs. More employees will require what academics refer to as "21st-century" abilities to complement AI. These include verbal and written communication, sophisticated analytical abilities that require careful judgments of several elements, and inventiveness. At the same time, those who lose their jobs or receive reduced pay need to retrain to take on additional responsibilities in a changing business landscape. More employees will need to retrain or upgrade their skills, either on the job or while pursuing higher education. The completion of such training will require additional assistance from disadvantaged employees, including child care and career counseling. To boost access to skill-building for people who must continue working full-time while pursuing their education, online learning must also advance. Conclusion AI and automation may create new issues for employees, some of which may be bigger in scale than what the previous avatar of automation entailed. However, enabling legislation and better training may assist workers in adjusting to these changes. They may also take advantage of increased productivity, which the new technology will bring about.
How to Pass IELTS: 6 Useful Tips to Get a Better Score
Introduction IELTS tests English language proficiency for Study Abroad and immigration purposes. It's one of the world's most popular international English-language tests, with more than 2.5 million yearly tests. IELTS Exam is recognized by thousands of organizations worldwide and can be used as proof that you have the necessary English language skills to succeed in your studies or career. What's meant by IELTS? International English Language Testing System is what this term refers to. This test aims to measure the English language proficiency of non-native speakers who want to study, work or settle in an English-speaking country. The exam consists of four sections: Listening, Reading, Writing, and Speaking. The total duration of the test is two hours and 45 minutes, with a break between each section. IELTS exam: Overview The IELTS exam is a nationally recognized test that has been designed by Cambridge Assessment to assess the language proficiency of people who are non-native speakers. Universities recognize it, immigration authorities, and employers worldwide. The IELTS exam is a test of English language proficiency. How To Prepare For and Pass IELTS Exam For those planning to travel abroad, get higher education or work in an English-speaking country, IELTS is considered one of the essential tests to take. The following are various ways to prepare well for the IELTS Preparation and improve your score; 1. Memorising the course content instead of just learning "Memorising" is a bit of a buzzword these days, but it's way more effective than just "learning." When you memorize something, you learn it so well that you don't have to think about it anymore. When asked about your knowledge of a particular topic, you can easily recall the information without thinking about what to say. 2. Study English Vocabulary You cannot pass IELTS without learning enough vocabulary, and this is best accomplished by teaching words from past IELTS papers and understanding them through various methods. One of these methods is simply looking up the word in an Oxford Advanced Learner’s Dictionary, reading its definition, and ensuring that you understand what it means. 3. Be familiar with the Exam Format IELTS is a 4-section exam, with each section's duration and format. The listening section has three parts, the reading section has two parts, the writing section also has 2, and the speaking area has three features. Before you take your test, it's essential to be familiar with all of these sections to know precisely what to expect when sitting down for an exam. 4. Advancing in English Language Skills You need to advance your English language skills so that you can face the exam without any difficulty. To do this, you should learn from a native speaker and friends. You should also try to read and write in English, understand it while listening, and speak well in front of others because these will help you improve your language skills. 5. Always use Original Materials For Your Study Get original materials for your study. Authentic materials are available in the library or bookstore, and they are more effective than other materials but are also more expensive and essential for your research. Please don't copy other people's writing, no matter how much you admire them! The examiners look at every piece of paper you submit to ensure it is your work and will be very strict about this rule. 6. Take a Mock Exam test and keep practicing often It is crucial to take mock IELTS exams often and practice regularly. The more you do, the easier it will be for you to get a better score. It would be best if you tried taking mock tests every 1 or 2 weeks to get used to the exam format and learn how to improve your score by answering questions correctly. You can also use some online practice tests, which are available online for free. These online practice tests will help you prepare for any questions that may be asked in an exam. Conclusion Remember, IELTS is not just a test. It is an essential tool that can help you achieve your goals and make the world a better place to live in. So, prepare well for it, give it all you have, and improve your score.
انواع النجيل الصناعي
نجيل الملاعب الصناعي تحتاج الملاعب إلى أسطح متينة ومكان آمن للعب الأطفال والكبار، يضمن تركيب العشب الصناعي استمراره لفترة طويلة وآمن للأطفال. عشب صناعي لساحات الحيوانات الأليفة بعض أنواع العشب الصناعي مثالية عشب صناعي لساحات الحيوانات الأليفة، يضمن النجيل الصناعي ذو التصريف الكبير أنه لا يتعين على أي شخص التعامل مع الأماكن المبتلة والفراء والاوبار التي تخلفها الحيوانات من قطط وكلاب وغيرها، يتحمل لعب الحيوانات المتحمسة ولا ينقطع او يسبب فوضى كتلك النجيلة الطبيعية التي تتعرض للحفر والنخر من قبل الحيوان الأليف. نجيل صناعي للشرفات في المناطق الحضرية، يجذب النجيل الصناعي انتباه الجميع، أنواع العشب الصناعي سهلة التركيب وأقل تكلفة، لذلك يمكن أن تعطي تجربة الحياة الطبيعة أثناء الإقامة في المدينة، يتم استخدام العشب الصناعي في الشرفات لإعطاء بعض الراحة الخضراء للعيون. أنواع العشب الصناعي لا تحتاج أبدًا إلى صيانة مرة أخرى ينتشر استخدام العشب الصناعي أكثر مما تعتقد. على الرغم من أننا وصفنا العديد من أنواع العشب الصناعي لساحاتك ، إلا أن هذا لا يحد من استخداماته. يمكن رؤية جميع الأنواع المختلفة من العشب الصناعي في المروج والملاعب والأسطح ومجموعة متنوعة من الأسطح الأخرى. اختر أفضل ما يناسب محيطك. انواع النجيلة الصناعية للملاعب نجيل صناعي لملاعب كرة القدم المعروف عنه بتقليد مظهر النجيل الطبيعي، ويفضل لملاعب النجيل الصناعي الخاصة بكرة القدم ومن ضمن أحد الأسباب الرئيسية لتفضيل ألياف العشب الأحادي في ملاعب كرة القدم هو أداء شعيرات العشب. تميل ألياف الشعيرات الأحادية إلى الوقوف عموديًا لفترة أطول، وهذا بدوره يترجم إلى لغة كروية أبطأ وتفاعل أكبر طبيعة مع السطح تؤدي أنظمة Sport Grass أداءً مشابهًا لكيفية تفاعل الكرة في ملعب طبيعي عالي الأداء نجيل صناعي لملاعب الهوكي نجيلة ملاعب الهوكي عبارة عن عشب مزدوج الألياف، مما يعني أنه مزيج من كل من الغشاء المشقوق والخيوط الأحادية لتوفير مزيج فريد من الألياف وخصائص أداء لكلا النظامين، تم بناء العشب ثنائي الألياف بدعامة قوية وألياف ضيقة لخلق سطح مثالي مع متانة تدوم طويلاً وأداء مثالي النجيل الصناعي لملاعب البيسبول والكرة الطائرة هو نظام نجيل صناعي مصمم خصيصًا لملاعب البيسبول و تعد ملاعب النجيل الصناعي قابلة للتخصيص إلى حد ما كما قد تكون قد جمعت، فلا يوجد نوع واحد من النجيل يناسب جميع الرياضات، لذا فإن نوع النجيل الصناعي والحشو والوسادة اللازمة لمجال عملك سيكون مزيجًا فريدًا بالنسبة لك
Mathematical Graph Plotting Calculator Online
Graph of math equation help in the intuition of the equation. Anyone that deals with calculation need a graph plotter for their equation. There are several graph plotting calculators online that work perfectly. Every graph calculator takes equations rather than expressions to plot it on an XY coordinates system. And Most of them can plot multiple equations on the same XY plane. Let's take a look at the top 3 online graph plotting calculators for your mathematical equation. A. Electric Shocks Graph Plotter Electric Shocks Graph Plotter is a javascript-based graphing calculator that can plot multiple graphs on the same set of axes. The graph plotter can assign each color to the graph automatically. The equation can be input by using the keyboard symbols and annotations, there is no on-screen keyboard. 1. User can trace each and every point of the graph by moving the cursor around the graph. 2. You can find the root of the graph by selecting the tool and graph. 3. Derivative of the graph can be found using the derivative tool. 4. Intersect tool can help in finding the intersecting point of two different graphs. 5. Local Minima and Maxima can be found using the tool to find the minima and maxima in the current view of the graph. 6. Zooming tool with partial highlighting, zoom in and zoom out tool can help to understand the graph in a better way. B. GeoGebra Graphing Calculator Geogebra is a great graphing calculator online that has multiple options rather than plotting a graph. First of all, you can plot a graph by providing a function in the form of professional equations. The equation is input by the onscreen keyboard. Multiple functions or equations can be plotted on the same axes. Other than the basic functions of plotting, the calculator has the ability to do more operations. 1. Users can calculate the roots of the graph by selecting the appropriate tool and it also highlights the root point on the graph. 2. There is an extremum point tool on the calculator that highlights the maxima and minima points of the graph. 3. You can specify point the XY plane and fit a line between the points by using the best fit option. 4. You can find the intersection of two graphs by intersecting tool of the calculator. 5. User can make input a dynamic by making it a slider. 6. There are multiple editing tools for a move, delete, erase, label, and freehand annotation. C. Desmos Graphing Calculator Desmos is a simple graph calculator that only plots graphs. The Desmos can display equations with a professional look. It has an on-screen keyboard for symbols and equation parameters. It can consider trigonometric and statistics with different visualizations. Desmos can plot help in visualization by zooming options, axes number switching, and degree/radian option for plotting the graph. Final Thoughts Sooner or later everyone needs a graph plotter. There are numerous graph plotters that can help in visualizing your equation. Graph plotters like ElectricShocks and GeoGebra are featured with advanced options and provide more tools. Where Desmos can serve the basic graph plotting purpose.