# AI News, Difference between revisions of "School:Computer Science"

- On 4. oktober 2018
- By Read More

## Difference between revisions of "School:Computer Science"

Computer science or computing science (CS) is the study of the theoretical foundations of information and computation.

Computer scientists invent algorithmic processes that create, describe, and transform information and formulate suitable abstractions to design and model complex systems.

There is no diploma or official recognition - this is simply an opportunity to follow a similar learning path to a traditional college Computer Science program.

- On 9. oktober 2018
- By Read More

## School:Computer Science

Computer science or computing science (CS) is the study of the theoretical foundations of information and computation.

Computer scientists invent algorithmic processes that create, describe, and transform information and formulate suitable abstractions to design and model complex systems.

There is no diploma or official recognition - this is simply an opportunity to follow a similar learning path to a traditional college Computer Science program.

- On 9. oktober 2018
- By Read More

## Mathematics and Computer Science

It offers opportunities for potential computer scientists both to develop a deeper understanding of the mathematical foundations of their subject, and to acquire a familiarity with the mathematics of application areas where computers can solve otherwise intractable problems.

The first year and part of the second year of the course are spent acquiring a firm grounding in the core topics from both subjects;

Recent graduates secured positions as software and hardware professionals in research, finance and investment analysis, and include a product controller for an international bank, an actuarial consultant and an accountant.

all students apply for a four-year course, and then decide at the start of the third year whether they wish to continue to the fourth year (which is subject to achieving a 2:1 at the end of the third year).

Some teaching may also be delivered by postdoctoral researchers or postgraduate students who are studying at doctorate level. To find out more about how our teaching year is structured, visit our Academic Year page.

- On 9. oktober 2018
- By Read More

## Applied mathematics

Applied mathematics is the application of mathematical methods by different fields such as science, engineering, business, computer science, and industry.

In the past, practical applications have motivated the development of mathematical theories, which then became the subject of study in pure mathematics where abstract concepts are studied for their own sake.

This history left a pedagogical legacy in the United States: until the early 20th century, subjects such as classical mechanics were often taught in applied mathematics departments at American universities rather than in physics departments, and fluid mechanics may still be taught in applied mathematics departments.[1]

Even fields such as number theory that are part of pure mathematics are now important in applications (such as cryptography), though they are not generally considered to be part of the field of applied mathematics per se.

Sometimes, the term 'applicable mathematics' is used to distinguish between the traditional applied mathematics that developed alongside physics and the many areas of mathematics that are applicable to real-world problems today.

The success of modern numerical mathematical methods and software has led to the emergence of computational mathematics, computational science, and computational engineering, which use high-performance computing for the simulation of phenomena and the solution of problems in the sciences and engineering.

However, since World War II, fields outside the physical sciences have spawned the creation of new areas of mathematics, such as game theory and social choice theory, which grew out of economic considerations.

The advent of the computer has enabled new applications: studying and using the new computer technology itself (computer science) to study problems arising in other areas of science (computational science) as well as the mathematics of computation (for example, theoretical computer science, computer algebra, numerical analysis).

Scientific computing includes applied mathematics (especially numerical analysis), computing science (especially high-performance computing), and mathematical modelling in a scientific discipline.

Sometimes the term 'applicable mathematics' is used to distinguish between the traditional applied mathematics that developed alongside physics and the many areas of mathematics that are applicable to real-world problems today.

Some mathematicians emphasize the term applicable mathematics to separate or delineate the traditional applied areas from new applications arising from fields that were previously seen as pure mathematics.[9]

Even fields such as number theory that are part of pure mathematics are now important in applications (such as cryptography), though they are not generally considered to be part of the field of applied mathematics per se.

Many universities teach mathematical and statistical courses outside the respective departments, in departments and areas including business, engineering, physics, chemistry, psychology, biology, computer science, scientific computation, and mathematical physics.

- On 17. september 2021

**"Indian Tech Support" | Russell Peters - Almost Famous**

Having computer problems can really backfire on me! Here's a clip from my 2016 special, "Almost Famous." Watch the full special on Netflix! Click here: ...

**Using Windows with Only a Keyboard**

Today, we look at 55 tips and keystrokes you can use to navigate around windows without your mouse! = CREDIT = NB: Outtro theme was made in-house.

**1. Introduction to Statistics**

NOTE: This video was recorded in Fall 2017. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. MIT 18.650 Statistics ...

**Computer Science - Brian Kernighan on successful language design**

Professor Brian Kernighan presents on 'How to succeed in language design without really trying.' Brian Kernighan is Professor of Computer Science at ...

**The Future of Classical Computing (Heterogeneous Architecture – CPUs, GPUs, FPGAs, ASICs,...)**

This video is the seventh in a multi-part series discussing computing and the final discussing classical computing. In this video, we'll be discussing what ...

**1. Introduction to Computational and Systems Biology**

MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: Instructor: Christopher Burge ..

**Lecture 8 | Deep Learning Software**

In Lecture 8 we discuss the use of different software packages for deep learning, focusing on TensorFlow and PyTorch. We also discuss some differences ...

**Lec 2 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011**

Lecture 2: Core Elements of a Program Instructor: John Guttag View the complete course: License: Creative Commons BY-NC-SA ..

**The Rise of the Machines – Why Automation is Different this Time**

Automation in the Information Age is different. Books we used for this video: The Rise of the Robots: The Second Machine Age: ..

**Introduction to rational and irrational numbers | Algebra I | Khan Academy**

Learn what rational and irrational numbers are and how to tell them apart. Practice this lesson yourself on KhanAcademy.org right now: ...