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

## 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.

## 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.

## 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.&#91;1&#93;

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.&#91;9&#93;

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.

## Computer Science

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).

We are looking for students with a real flair for mathematics, which you will develop into skills that can be used both for reasoning rigorously about the behaviour of programs and computer systems, and for applications such as scientific computing.

Common roles for graduates include computer programmer, software designer and engineer, financial analyst and scientific researcher.  Graduates in Computer Science from Oxford were the top earners in the 2017 Sunday Times league table of graduate salaries.

In years three and four about a third of your time is spent working on your chosen individual project. There may be up to 100 students attending any given lecture.  Most tutorials, classes, and lectures are delivered by staff who are tutors in their subject.

## Computer engineering

Computer engineers usually have training in electronic engineering (or electrical engineering), software design, and hardware–software integration instead of only software engineering or electronic engineering.

Computer engineers are involved in many hardware and software aspects of computing, from the design of individual microcontrollers, microprocessors, personal computers, and supercomputers, to circuit design.

Usual tasks involving computer engineers include writing software and firmware for embedded microcontrollers, designing VLSI chips, designing analog sensors, designing mixed signal circuit boards, and designing operating systems.

Computer engineers are also suited for robotics research, which relies heavily on using digital systems to control and monitor electrical systems like motors, communications, and sensors.

In many institutions, computer engineering students are allowed to choose areas of in-depth study in their junior and senior year, because the full breadth of knowledge used in the design and application of computers is beyond the scope of an undergraduate degree.

the original ABC was dismantled and discarded in the 1940s a tribute was made to the late inventors, a replica of the ABC was made in 1997 where it took a team of researchers and engineers four years and \$350,000 to build.&#91;8&#93;

Due to increasing job requirements for engineers who can concurrently design hardware, software, firmware, and manage all forms of computer systems used in industry, some tertiary institutions around the world offer a bachelor's degree generally called computer engineering.

The expected ten-year growth from 2014 to 2024 for computer hardware engineering was an estimated 3%, and there was a total of 77,700 jobs for 2014 and 73,600 jobs for 2016&#91;10&#93;.

Computer engineers work in coding, cryptography, and information protection to develop new methods for protecting various information, such as digital images and music, fragmentation, copyright infringement and other forms of tampering.

Those focusing on communications and wireless networks, work advancements in telecommunications systems and networks (especially wireless networks), modulation and error-control coding, and information theory.

Examples include aircraft design, the plasma processing of nanometer features on semiconductor wafers, VLSI circuit design, radar detection systems, ion transport through biological channels, and much more'.&#91;13&#93;

According to the Sloan Cornerstone Career Center, ongoing developments in embedded systems include 'automated vehicles and equipment to conduct search and rescue, automated transportation systems, and human–robot coordination to repair equipment in space.'&#91;13&#93;

For example, as the relative cost of fixing a bug increases the further along it is in the software development cycle, there can be greater cost savings attributed to developing and testing for quality code as soon as possible in the process, and particularly before release.&#91;15&#93;

According to the BLS, Job Outlook employment for computer hardware engineers, the expected ten-year growth from 2014 to 2024 for computer hardware engineering was an estimated 3% and there was a total of 77,700 jobs that same year.

According to the U.S. Bureau of Labor Statistics (BLS), 'computer applications software engineers and computer systems software engineers are projected to be among the faster than average growing occupations' The expected ten-year growth as of 2014 for computer software engineering was an estimated seventeen percent and there was a total of 1,114,000 jobs that same year.&#91;17&#93;

In addition, growing concerns over cyber security add up to put computer software engineering high above the average rate of increase for all fields.

"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: ...

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 ...

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.

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 ...

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 ..

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: ...

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 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 ...

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 ...

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: ..