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Financial Literacy/Budget Apps/ Digital Fluency - Business Education

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Financial Literacy/Budget Apps/ Digital Fluency - Business Education

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Lesson applicable to secondary students supporting the CS/DF standards. Students will research budget apps to support their financial literacy curriculum and enhance their understanding of budgeting skills. The multi-part assignment allows them the opportunity to research, compare, contrast, evaluate, and identify the pros and cons of choosing an online budgeting app. They will reflect and create a CANVA flyer with informative facts they find as they relate not only to the features an app can provide their budgeting needs but also to support digital awareness and safety concerns over protecting their private information online.

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10th - 12th -  STEM Careers (Multi-Variable Calculus)

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How Coding Can Support Language Learning

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How Coding Can Support Language Learning

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How Coding Can Support Language Learning

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Focusing on future-ready skills—like computer science and app development—helps English language learners become better critical thinkers and more fluent speakers.

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No, you will not be able to grant students access to Khanmigo. At this time, classroom access for Khanmigo is only available through school or district implementations. We invite district and school administrators to contact our Districts Partnership team to learn about Khanmigo for Districts.

Khanmigo for teachers offers a lot of exciting features, such as standards-aligned lesson planning tied to Khan Academy's world-class content library; an on-demand summary of recent student work so you can quickly assess progress and identify areas where additional support is needed; and Khanmigo-crafted learning objectives, rubrics, and even exit tickets.

As a nonprofit educational organization, we see it as our responsibility to explore what AI could mean for the future of education. We believe that AI has the potential to transform learning in a positive way, but we are also keenly aware of the risks. Therefore, we are only offering access to learners who are under 18 years old when their parents give them access or when their school district is partnered with Khan Academy. This collaboration across school leaders, teachers, families, and Khan Academy staff makes it possible to provide the level of supervision and support children deserve. We believe these guidelines will help us responsibly adapt AI for an educational setting.

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Meet Khanmigo, Khan Academy's AI-powered teaching assistant & tutor

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Get immediate help with Khanmigo by Khan Academy, the best AI for learning and teaching. Save time with our teaching aid handling your prep tasks. Tackle homework challenges with a 24/7 tutor integrated into our world-class content library.

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Just as there are many human languages, computer programmers use different web development languages to communicate with machines. Aspiring web developers can choose from many options when selecting the best programming language to create websites and apps.

In the 1960s, there were fewer than 10 computer programming languages. Today, thousands of these languages exist. Historically, the most popular languages have been Python, C, and Java, but SQL, Swift, and other contemporary languages are growing fast. This guide explores several popular programming languages and helps readers narrow down the right choices.

Programming Languages vs. Coding Languages

Professionals use computer programming languages to give computers instructions that they can understand. A programming language is a human-readable programming code. There are many different types of programming languages, the most popular being HTML, CSS, and JavaScript.

Coding is a subset of programming. Coders write instructions for machines in programming languages. The two terms - programming languages and coding languages - are functionally interchangeable, however.

Programming languages appear as domain-specific languages (DSL) and general-purpose languages. DSLs work within given programming environments, while general-purpose programming languages can be compiled or interpreted without any knowledge of the system architecture or platform.

For example, while C++ will not run on Python or PHP, these languages work on Java (and most other systems) because they are all general-purpose programming languages.

How Programming Languages Are Used in Web Development

Developers use web development languages to help create dynamic web pages. The most common languages include JavaScript, Python, and C#. Developers choose the language to use based on whether they perform front-end or back-end development. In artificial intelligence creation, machine learning engineers also use programming languages to develop applications.

Programming Languages for Web Development

Coders can use high-level or low-level programming languages. High-level languages are easier to program but require an interpreter for the machine. Conversely, low-level languages speak directly to the machine but are more difficult for programmers.

The following section explores some of the most widely used programming languages.

JavaScript

JavaScript is a common web development language for its simplicity, which develops use to dynamically create web pages. It is also one of the world's oldest coding languages.

In 1995, Brendan Eichs, an employee of Netscape Communications, developed JavaScript. He designed the language to complement Java, Netscape Navigator Sun's programming language. The two languages use similar syntax.

Originally, Netscape named its new language Mocha but quickly changed it to JavaScript. In 1996, Microsoft decided to compete with Netscape by using JavaScript inside its new Internet Explorer 3.

While there are many pros and cons of using JavaScript, it has become one of the most popular languages today due to its help in streamlining the development process. Programmers can find various options for frameworks (like jQuery) that improve how they create animations and graphics and how they connect data models.

Python

A versatile, high-level programming language, Python is often seen as a more beginner-friendly alternative to Java or C++. Developed by Guido van Rossum and released in 1991, Python has quickly gained traction across industries due to its minimal syntax, readability, focus on natural language processing, and ability to handle object-oriented and functional programming.

Python is best suited for data analysis and manipulation, machine learning, designing desktop applications, server-side web development (where it is nearly synonymous with Django), and AI.

SQL

SQL stands for Structured Query Language. It was originally invented in the 1970s and is the primary language used in relational databases. SQL can retrieve any data stored in tables within a database based on certain criteria set by the user. The programmer then needs to be familiar with writing queries that specify what they want from the database while SQL handles retrieving the request.

Swift

Created by Apple, Swift is a high-level programming language that lets developers write code efficiently and simply. Apple first released Swift in 2014, but the company announced plans to make it open source in 2017.

Safe, fast, and in demand, Swift ranked in the top 20 most popular languages in a 2021 survey by Stack Overflow. Fluency in this popular language has become increasingly valuable among programmers.

Benefits of Swift include using fewer lines of code than other languages and an easier time mastering new concepts. Swift also has an interactive playground where you can test code, which many other languages do not have.

C#

Created by Microsoft in 2002, C# is a high-level programming language with roots in visual basics. As of 2022, it is one of the most popular programming languages in the world. C# also lends itself to rapid app development using frameworks like Xamarin. In addition, .NET Framework and .NET Core can enable app portability that may not exist with JavaScript frameworks such as NodeJS or AngularJS.

Rust

Launched in 2018, Rust is a modern language that offers memory safety without sacrificing performance. Rust works for devices of all sizes and emphasizes reliability. However, relatively few programmers use it, so it can be hard to find documentation online or connect with someone who knows how to code in the language.

Perl

Since its release more than 30 years ago, thousands of developers have adopted the Perl family of programming languages for its simplicity and flexibility. Since Perl shares a common syntax with most other coding languages, it is easy to learn and use.

This object-oriented, functional, and procedural language has 25,000 open-source modules. It integrates with many third-party databases and interfaces with external C/C++ libraries. Generally, Perl runs slowly, but it is efficient in text manipulation.

Go

First released in 2007, Go is the child of the Google development team. Initially, it was a project Google commissioned to improve the services department. In 2009, however, it became a full-fledged language and was introduced to the public.

In its early days, Go's primary users included software engineers and programmers looking for a high-performance programming language. Since then, it has grown its user base and now appears across industries, including product engineering, system design, robotics control systems as well as web development.

It is one of two languages Google created, along with Dart, which is primarily used on servers but not within browsers like JavaScript and Java.

R

A programming language that features a well-developed web framework is R. Developed by academics Ross Ihaka and Robert Gentleman in New Zealand, R performs statistical and computer graphics. It emerged directly from one of the oldest programming languages and now integrates with C and C++ for computationally intensive work.

R is an open-source data language with many benefits. For instance, the language features more than 10,000 packages, including dplyr and readr, both known for their ability to structure data. R is also platform independent and ideal for machine learning applications. It is not, however, an easy language to learn, and it runs slower than some newer languages.

HTML

HTML is a markup language that is the basis of website construction. It tells browsers how to render web pages. Although it is not programming in the traditional sense, HTML often requires extensive coding and may be challenging to learn.

Ruby on Rails

David Heinemeier Hansson created Ruby on Rails in 2004, and it's considered a highly popular, complex, and object-oriented language. It also has features like concurrency and metaprogramming. This open-source framework allows people to build powerful web applications with minimal effort. Many industries use Ruby, including e-commerce, education, government, and social media.

PHP

The first release of PHP occurred in 1995, and the language has been growing in popularity lately due to its simplicity and scalability. PHP is mostly used for web development (both back-end and front-end) but also powers online advertising, game development, database management systems, and hosting services.

Choosing a Web Development Programming Language

The right coding language depends on your career goals and interests, but the following are all good choices: C#, Java, JavaScript, Python, Ruby on Rails, and PHP. You might even consider learning two languages - one for front-end development and the other for back-end work.

Python and Ruby work well for back-end development, while JavaScript suits the front end. All three languages are relatively easy to learn.

While hobbyists can dive into books and online courses, aspiring professionals may need a more structured and disciplined approach to language learning. Coding bootcamps offer intensive courses in different programming languages that can help get you started with minimal cost and effort.

Become a Web Developer
FAQ About Web Development Programming Languages

What programming language works best for web development?

Your server choice should determine the best web development language. For example, if you want to host your website on an Apache server, then Python or PHP would be good choices as they work well with that type of server. Other considerations include other languages running on the same server or are likely to be in a mixed environment.

Is coding required for web development?

Yes. Coding is a key part of web development. Web developers can create aesthetically pleasing, functional, and responsive sites with HTML, CSS, or JavaScript code. However, the emergence of new programming languages has made web development easier.

Which programming language for web development should I learn first?

The programming language you should learn first depends on your goals. For front-end web development languages, you may want to start with HTML, CSS, JavaScript, or PHP. Regarding back-end programming languages for web development, consider Java, Python, or Ruby. The skills these languages offer overlap enough that developers can use them together.

Where can I learn web development programming languages?

Popular programming languages for web development include Javascript, HTML5, CSS3, PHP, and Java. You can take lessons in these languages on free online sites or through internet-based tutorials. Aspiring coding professionals can study web development languages through bootcamps or as part of computer science degrees.

Reviewed by: Darnell Kenebrew

Darnell Kenebrew

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Best Programming Languages for Web Development | Computerscience.org

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Creating new sites requires developers to write new code. Which coding language should you learn? Discover the most popular programming languages for web development.

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Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
Engineering, Design, Product, and Prototyping
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Acknowledgments
Thanks to those who helped with and provided feedback on this release: Sandhini Agarwal, Sam Altman, Chester Cho, Peter Hoeschele, Jacob Jackson, Jong Wook Kim, Matt Knight, Jason Kwon, Anna Makanju, Katie Mayer, Bob McGrew, Luke Miller, Mira Murati, Adam Nace, Hyeonwoo Noh, Cullen O'Keefe, Long Ouyang, Michael Petrov, Henrique Ponde de Oliveira Pinto, Alec Radford, Girish Sastry, Pranav Shyam, Aravind Srinivas, Ilya Sutskever, Preston Tuggle, Arun Vijayvergiya, Peter Welinder

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Using AI to find Animals, Fires and More

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Using AI to find Animals, Fires and More

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Ethical Decision Making resources provide an introduction to basic ideas in applied ethics, such as utilitarianism, rights, justice, virtue, and the common good.

We also look at foundational questions, such as What is Ethics? and Can Ethics Be Taught? Our Framework for Ethical Decision Making has been reprinted in hundreds of articles, books, and course materials.

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Introductory Articles

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An introduction to basic ideas in applied ethics, such as utilitarianism, rights, justice, virtue, and the common good. Articles include topics such as “What is Ethics?” “Can Ethics Be Taught?” and “A Framework for Ethical Decision Making.”

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From his posts at Harvard and M.I.T., Greg Epstein observed that the tech industry-- with its hierarchies and sacred texts--looked a lot like a religion...and his students worshipped at the alter of Elon Musk. The chaplain wondered: how could he counsel techies to build more humane products? On this episode, Greg explains why he decided to take an unusual side gig as TechCrunch's ethicist-in-residence and bring his Humanist perspective to Silicon Valley. He also shares how he became an atheist chaplain, why he thinks so many college students are obsessed with exceptionalism, and his own personal epiphany about what it means to be human.
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What exactly is the Fourth Industrial Revolution - and why should you care?
The Fourth Industrial Revolution is a way of describing the blurring of boundaries between the physical, digital, and biological worlds. It's a fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), 3D printing, genetic engineering, quantum computing, and other technologies. It's the collective force behind many products and services that are fast becoming indispensable to modern life. Think GPS systems that suggest the fastest route to a destination, voice-activated virtual assistants such as Apple's Siri, personalised Netflix recommendations, and Facebook's ability to recognise your face and tag you in a friend's photo.

As a result of this perfect storm of technologies, the Fourth Industrial Revolution is paving the way for transformative changes in the way we live and radically disrupting almost every business sector. It's all happening at an unprecedented, whirlwind pace (and is why Salesforce built the Customer Success Platform to keep up with changing customer expectations).

Here's everything you wanted to know about the Fourth Industrial Revolution (but were afraid to ask) [ click to tweet].

Where did the term "Fourth Industrial Revolution" come from?

While the Fourth Industrial Revolution (sometimes called the 4IR or Industry 4.0) is set to change society like never before, it builds on foundations laid by the first three industrial revolutions . The advent of the steam engine in the 18th century led to the first industrial revolution, allowing production to be mechanized for the first time, and driving social change as people became increasingly urbanized.

In the second industrial revolution, electricity and other scientific advancements led to mass production. A third industrial revolution, beginning in the 1950s, saw the emergence of computers and digital technology. This led to the increasing automation of manufacturing and the disruption of industries including banking, energy, and communications.

The person who labeled today's advances as a new revolution was Klaus Schwab, Founder and Executive Chairman of the World Economic Forum and author of a book titled The Fourth Industrial Revolution. In a 2016 article, Schwab wrote that "like the revolutions that preceded it, the Fourth Industrial Revolution has the potential to raise global income levels and improve the quality of life for populations around the world."

He continued: "In the future, technological innovation will also lead to a supply-side miracle, with long-term gains in efficiency and productivity. Transportation and communication costs will drop, logistics and global supply chains will become more effective, and the cost of trade will diminish, all of which will open new markets and drive economic growth."

It's not all good news, however. Schwab also suggested the revolution could lead to greater inequality, "particularly in its potential to disrupt labor markets." Furthermore, the job market may become increasingly segregated into "low-skill/low-pay" and "high-skill/high-pay" roles, which could escalate social tension.

According to Schwab, "the changes are so profound that, from the perspective of human history, there has never been a time of greater promise or potential peril."

What are the technologies driving change?

The easiest way to understand the Fourth Industrial Revolution is to focus on the technologies driving it. These include the following:

Artificial intelligence (AI) describes computers that can "think" like humans - recognising complex patterns, processing information, drawing conclusions, and making recommendations. AI is used in many ways, from spotting patterns in huge piles of unstructured data to powering the autocorrect on your phone.

Blockchain is a secure, decentralised, and transparent way of recording and sharing data, with no need to rely on third-party intermediaries. The digital currency Bitcoin is the best known blockchain application. However, the technology can be used in other ways, including making supply chains traceable, securing sensitive medical data anonymously, and combating voter fraud.

New computational technologies are making computers smarter. They enable computers to process vast amounts of data faster than ever before, while the advent of the "cloud" has allowed businesses to safely store and access their information from anywhere with internet access, at any time. Quantum computing technologies now in development will eventually make computers millions of times more powerful. These computers will have the potential to supercharge AI, create highly complex data models in seconds, and speed up the discovery of new materials.

Virtual reality (VR) offers immersive digital experiences (using a VR headset) that simulate the real world, while augmented reality merges the digital and physical worlds. Examples include L'Oréal's makeup app, which allows users to digitally experiment with makeup products before buying them, and the Google Translate phone app, which allows users to scan and instantly translate street signs, menus, and other text.

Biotechnology harnesses cellular and biomolecular processes to develop new technologies and products for a range of uses, including developing new pharmaceuticals and materials, more efficient industrial manufacturing processes, and cleaner, more efficient energy sources. Researchers in Stockholm, for example, are working on what is being touted as the strongest biomaterial ever produced.

Robotics refers to the design, manufacture, and use of robots for personal and commercial use. While we're yet to see robot assistants in every home, technological advances have made robots increasingly complex and sophisticated. They are used in fields as wide-ranging as manufacturing, health and safety, and human assistance.

3D printing allows manufacturing businesses to print their own parts, with less tooling, at a lower cost, and faster than via traditional processes. Plus, designs can be customised to ensure a perfect fit.

Innovative materials, including plastics, metal alloys, and biomaterials, promise to shake up sectors including manufacturing, renewable energy, construction, and healthcare.

The IoT describes the idea of everyday items - from medical wearables that monitor users' physical condition to cars and tracking devices inserted into parcels - being connected to the internet and identifiable by other devices. A big plus for businesses is that they can collect customer data from constantly connected products, allowing them to better gauge how customers use products and tailor marketing campaigns accordingly. There are also many industrial applications, such as farmers putting IoT sensors into fields to monitor soil attributes and inform decisions such as when to fertilise.

Energy capture, storage, and transmission represent a growing market sector, spurred by the falling cost of renewable energy technologies and improvements in battery storage capacity.

How will the Fourth Industrial Revolution affect business?

As these technologies change what's possible, they're also transforming customers' expectations. A global survey from Salesforce Research shows that a majority of those surveyed believe that these technologies - and the experiences they enable - will transform their interactions with companies within five years.

Nowhere will this be more evident than in customer experience. With technology enabling businesses to offer greater personalisation and more valuable, connected experiences across bricks-and-mortar and online channels, customers already have more options than ever, and they're not afraid to switch brands for a better experience.

The research shows about half of customers say most companies fall short of their expectations for great experiences, while 76% report that it's easier than ever to take their business elsewhere.

Among the things customers regard as being "very important to winning their business" are connected processes, such as contextualised engagement based on earlier interactions (70%), and tailored engagement based on past interactions (59%).

This means businesses must focus more than ever on delivering a customer experience that differentiates them from competitors. Get it wrong and they risk losing more than just the sale - 57% of customers have stopped buying from a company because a competitor provided a better experience. What's more, 62% say they share bad experiences with others. With peer review sites and social media offering unhappy customers a greater audience for complaints, this can damage a company's reputation.

Because customers today expect personalised experiences, collecting quality data is more important for businesses than ever. Unfortunately, the research also found that 57% of customers are uncomfortable with how companies use their personal or business information. Almost two-thirds (62%) are more afraid of their data being compromised now than they were two years ago.

To keep customers' loyalty, companies need to not only deliver exceptional sales and service in brick-and-mortar stores and online, but also prove that they have customers' best interests at heart.

Salesforce Chairman and Co-Chief Executive Officer Marc Benioff believes a " trust revolution " is needed if businesses are to fully embrace the potential of the Fourth Industrial Revolution.

"Deploying AI will require a kind of reboot in the way companies think about privacy and security," he said. "AI is fueled by data. The more the machine learns about you, the better it can predict your needs and act on your behalf. But as data becomes the currency of our digital lives, companies must ensure the privacy and security of customer information. And, there is no trust without transparency - companies must give customers clarity on how their personal data is used."

How will the Fourth Industrial Revolution affect the future of work?

Nowhere is the upheaval of the Fourth Industrial Revolution more likely to be felt than the workplace. As with previous industrial revolutions, the Fourth Industrial Revolution will profoundly affect people's lives as AI and increased automation see many types of jobs disappear. At the same time, entirely new categories of jobs are emerging.

Strategic business and technology advisor Bernard Marr said that computers and automation will come "together in an entirely new way, with robotics connected remotely to computer systems equipped with machine-learning algorithms that can learn and control the robotics with very little input from human operators."

He added, "Industry 4.0 introduces what has been called the 'smart factory,' in which cyber-physical systems monitor the physical processes of the factory and make decentralised decisions."

As the Fourth Industrial Revolution reshapes the future of work, businesses must prepare their people for the new world that lies ahead. This often means an increased focus on continual learning, building more on-ramps to new types of jobs, and a commitment to diversity.

What should businesses do to future-proof their workforces?

Businesses will need to ensure they have the right mix of skills in their workforce to keep pace with the changing technology. Another study shows that 59% of hiring managers believe that AI will impact the types of skills their companies need. Workers will more than likely need to update their skills, not just once but many times throughout their careers. Many senior executives are already asking how all this will be achieved.

Ebony Frelix, Executive Vice President and Chief Philanthropy Officer at Salesforce.org, addressed the issue as part of a panel discussion at Dreamforce '18, where she said businesses and governments need to share responsibility for upskilling workers. In the Fourth Industrial Revolution, she said, it will be important to creating nontraditional pathways for building skills. One example is Salesforce's Pathfinder training program, created in 2017 in partnership with Deloitte.

According to Tom Puthiyamadam, Global Digital Services Leader with PwC's Advisory practice, it's imperative that businesses build their capacity to innovate and be agile. "Think about it as a sort of 'no-man-or-woman-left-behind' policy," he said. "Don't just hire new talent - because if you don't create an internal environment where they can thrive, they'll fail. Instead, build a holistic solution."

"Companies need to be thinking about enabling their employees to both code in new coding languages, but also to change their mix of soft skills," added Zvika Krieger, co-leader of the World Economic Forum's Centre for the Fourth Industrial Revolution.

"As AI begins to impact the workforce and automation replaces some existing skills, we're seeing an increased need for emotional intelligence, creativity, and critical thinking, for instance."

How do we ensure the Fourth Industrial revolution is good for everyone?

With the Fourth Industrial Revolution presenting both immense opportunities and challenges, it's up to all of us to work together to ensure that it benefits everyone.

Bernard Marr writes that "humans must be proactive in shaping this technology and disruption. This requires global cooperation and a shared view of how technology is reshaping our economic, social, cultural, and individual lives."

With businesses at the forefront of the Fourth Industrial Revolution, driving both innovation and social disruption, they must also play a pivotal role in ensuring that the needs of all stakeholders are met, and not just those of shareholders.

With fears about job security and how personal data is used creating a " crisis in trust," businesses need to demonstrate to consumers that their values and intentions are trustworthy. As Nick Davis, Head of Society and Innovation at the World Economic Forum, and Simon Mulcahy, Chief Innovation Officer at Salesforce, have written, "Solving the dilemma depends on a company's ability to convince its customer that it's using technologies in responsible and trustworthy ways that will benefit them."

Identifying businesses as "incredible platforms for change," Marc Benioff wrote for the World Economic Forum that "every business leader can have a direct role in creating economic opportunity for millions of people by investing in education and training programs for existing and potential talent."

Pointing to companies such as Dow, IBM, and Siemens, which are already investing in programs to help people to acquire new skills, Benioff called on CEOs to do more to "build the workforce of the future, while bringing along the workforce of today.

"In the coming decades, we need to establish guardrails that keep the innovations of the Fourth Industrial Revolution on a track to benefit all of humanity. We can all individually have a direct role in shaping our future, and creating economic opportunity for millions of people by investing our time and resources in helping others."
This post originally appeared on the U.S.-version of the Salesforce blog.

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What Is the Fourth Industrial Revolution?

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The 4th Industrial Revolution (4IR) is a way of describing the blurring of boundaries between the physical, digital, and biological worlds. It's a fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), 3D printing, genetic engineering, quantum computing, and other technologies.

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Origin of Everything
Season 1 Episode 14 | 6m 16s |

Today, we think of computer science as a field dominated by men, but women have a long and important history in the field. Ada Lovelace is considered the first computer programmer, Katherine Johnson, Dorothy Vaughn, & Mary Jackson played a hugely important part in the development of computing during the space race, and Elsie Schutt ran one of the first computer software companies. So what changed?

Aired: 12/21/17

Rating: NR

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Origin of Everything | Why Are There So Few Women in Computer Science? | Season 1 | Episode 14

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Origin of Everything Season 1 Episode 14 | 6m 16s | Today, we think of computer science as a field dominated by men, but women have a long and important history in the field.

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CSEdWeek Kickoff: Impacts of Computing

Join us on Monday, Dec. 4, 2023, from 6-7 p.m. CT as we kick off CSEdWeek 2023. CSEdWeek is an annual program that inspires K-12 students to take an interest in CS. This year, our focus will be on the Impacts of Computing. "Impacts of Computing" refers to the positive and negative effects on various aspects of our lives, including education, privacy, security, and accessibility. A panel of 2023 CSHeroes will discuss these topics with a particular focus on Artificial Intelligence and Computer Science.

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Meet CS heroes and access resources to help teach computer science in your classroom.

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Teaching London Computing: A RESOURCE HUB from CAS LONDON & CS4FN

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Computational Thinking overlaps a lot with the way mathematicians think. Both are ultimately about solving problems. Computer Science focusses a lot more on the idea of algorithms as solutions as well as the importance of logic. Computer Scientists rely on maths a lot, and increasingly mathematicians are relying on computational thinking. Algorithms are even being used to prove unsolved mathematical problems that human mathematicians have struggled with for years.

Computer Science topics can also be used to support numeracy, by giving an exciting, fun real world context for the importance of numbers and mathematics.

Maths forms the background of lots of our resources. Here we pick out some with the most direct links.

Activity Sheets

The following activities draw out issues on the links between maths and computing.

Numeracy: numbers, counting, practical use of numbers

Numeracy: multiplication tables

9 Times table Algorithms
Explore algorithms that allow you to work out the 9 times table, exploring what an algorithm is, efficiency, patterns and using algebra to prove algorithms always work.

Tudor Multiplication
Learn a cunning Tudor algorithm for doing those tricky times tables you can never remember, and prove it does always work.

Happy Times maths card game
Happy Times is a fun Happy families / Rummy style card game where you collect sets of cards in the same times table to win. Playing helps you learn about the fun of numbers with a focus on times tables, multiplication, division and prime numbers. Start to gain an understanding of the patterns in numbers.

Ten maths card game
Ten is a fun maths card game that involves matching pairs of cards that add up to 10. It can help learn the pairs-that-add-to-10 number facts needed for lots of other things. Download all you need to make your own Ten pack at the end.

Numeracy: counting

Kriss-Kross Puzzles
Solve these word puzzles as a way to develop logical thinking and pattern matching skills needed to enjoy both computing and maths, while practicing counting and spelling.

Numeracy: fractions

Numeracy: odd and even

Shapes, Coordinates and Scaling

Algebra

Magic: The Red Black Mind Meld Activity
You control the actions of another placing cards making a red black prediction come true and see how algebra can be used to prove a trick (or algorithm) always works.

9 Times table Algorithms
Explore algorithms that allow you to work out the 9 times table, exploring what an algorithm is, efficiency, patterns and using algebra to prove algorithms always work.

Tudor Multiplication
Learn a cunning Tudor algorithm for doing those tricky times tables you can never remember, and prove it does always work.

Binary Numbers

Demonstrate how early computers were able to find data stored on punch cards using the above magic algorithm based on binary numbers.

Graphs

Cylinders, circumference and diameter

The Ancient Greek Scytale
Make a simple Ancient Greek device for encrypting messages then write, send and read secret messages - its just a cylinder but if your friends want to read your messages they need a cylinder with the same diameter, so that it's circumference is the same. Or you can use prisms, including certain chocolate packets.

Booklets and Magazines to download

cs4fn subject portals

There are lots of fun articles on the cs4fn website linked to maths. See the following portals:

External Resources

Here are some other related resources:

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Computational Thinking overlaps a lot with the way mathematicians think. Both are ultimately about solving problems. Computer Science focusses a lot more on the idea of algorithms as solutions as well as the importance of logic. Computer Scientists rely on maths a lot, and increasingly mathematicians are relying on computational thinking.

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The world has almost 8 billion people living in it, each person with his or her own stories and experiences. What if you could get to know the people of the world? What if the world were a village of only 100 people. What languages would they speak?

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Artists Meet Machine Learning - Google Arts & Culture

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A grants program launched at Google I/O, supporting six artists to develop new work with machine learning. In collaboration with Artists + Machine Intellig...

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Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

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OK Go Sandbox is an online resource for educators that uses OK Go's music videos as starting points for integrated guided inquiry challenges allowing students to explore various STEAM concepts.

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Stock 360° Panoramic Images and Videos for VR and More | 360Cities

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360Cities is the leading source of 360° panorama / VR media for education, publishing, advertising, film, and mobile apps & games. Become a 360Cities contributor and start creating, publishing, sharing, and earning money from your 360° panoramas and videos.

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Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.

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9-12 NYSED CS/DF Standards | Find thousands of free educational ebooks for classroom use at read.bookcreator.com

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Why Computer Science Belongs in English Class - Tom Liam Lynch, Ed.D.

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Tom Liam Lynch, Ed.D. Arts + Letters Why Computer Science Belongs in English Class

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9th - 12th - Career Posters Lesson (Computer Science Principles)

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10th - 12th -  STEM Careers (Multi-Variable Calculus)

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10th - 12th -  STEM Careers (Multi-Variable Calculus)

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9th - 12th - Impact on Society - Voice Assistant (Computer Science Principles)

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Built using PBS Learning Media Lesson Builder. Includes a video and discussion questions

https://ny.pbslearningmedia.org/student/code/earth30910/?student=true

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Inspire your students with thousands of free teaching resources including videos, lesson plans, and games aligned to state and national standards.

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In this lesson students would be given an article about the digital divide that currently exists in our society. Students would be asked to read the article and repost back using a template provided answering the following: What is the digital divide? Who is impacted by the digital divide, how does it impact people, ISP's, teachers. List and define any new technical terms encountered in the article. List any benefits and harms, and finally, form your own opinion on the current state of the digital divide.