Comprehensive Guide to Computer Science and Its Diverse Fields

what is computer science and what does the field of computer science entails how can you be a computer scientist is

computer science programming the world of computer science and software engineering is diverse and

greatly varied the role of the computer scientists are more important than ever

in today's society computer scientists use programming languages as their tools to communicate their

ideas and make them into a reality these computer languages can be anywhere from low-living languages

such as assembly to program the hardware components all the way to high-level languages such

as javascript c java python and many other languages that are the back end and front end

of many software packages although programming languages happen to be the most

important tools that a computer scientists use it just remains is that just the tool

the misconception of programming and computer science relationship often confuses people i have heard many

refer to computer science as a programming major or computer science students and

graduates as a programmer perhaps the misconception comes from the fact that most cs

students are competent programmers and probably no more than one languages but that is not because all they learn

or do is programming as a computer science major you can expect the first couple of classes you

take to cover fundamentals of programming utilizing a language

of the department's choice usually based on the market demand and that is solely due to the fact that

they need to be equipped with the right tools to be able to test their hypothesis design algorithm in

their other classes most of them learn other languages on their own and that's because they

realize that languages are just a syntax once you learn the fundamentals of programming and truly understand the

concepts you can learn most languages on your own here's a little example of what you can

expect in an undergraduate degree in computer science you will mostly be required to take

courses such as data structure and algorithm machine organization and assembly

computer architect operating system data modeling and applications software engineering

and many more you probably will take a lot of math as well math such as discrete math calculus some

department even require you to take differential equation and matrices i'm here today to tell you that computer

science is not just programming programming and programming languages however are an

important tool that computer scientists use on a regular basis from your alarm clock in the morning to

switching on your coffee machine to most of the things around you and most of your daily activities and apps you use

throughout the day there is a computer scientist involved

as the human needs for technology rises rapidly the need for computer scientists and software engineers are also on the

rise in a parallel paradigm so what does the world of computer science entail

please note that many of the fields that we will be mentioning in this video are

multidisciplinary and interconnected and there may be more than one way to get there however

for the purpose of this video we will focus on exploring these fields from a computer

science point of view let's start by software development there are two main kinds of software

system software and application software system software which happens to be the most important software in the computer

is the operating system which is what we interact with and controls all the other application software we

run on our devices engineering a robust and decent operating system is a daunting task and

a huge challenge that involves many software engineers and computer scientists

this brings me to application software which can be web-based or computer-based utilizing critical

thinking and creativity computer scientists and software engineers design meticulous algorithm and write numerous

instructions using available programming languages to turn their ideas

into reality and solve real world problems software developers are usually broken

down into three categories back-end developers who are usually responsible for

design algorithm and integration of software while writing the web services and apis

and front-end developers are responsible for adding visual elements that users see

and interact with and full stack developers are those who have the knowledge of both

back end and front end now developing a software is one thing but the research design and algorithm

behind those software make the world of computer science interesting

let's start by talking about one of the most talked about fields of computer science called data

science and cloud computing which in a way they go hand in hand cloud computing

relies mostly on shared computing resources rather than having local servers with purpose of promoting

data processing over a cluster of computers in cyberspace rather than local devices python sql

and airline are among top languages used in cloud computing in short data science is a

multi-interdisciplinary field that utilizes scientific method algorithm

processes and systems to fully examine and understand both structured and unstructured data

many different fields of computer science falls under the umbrella of data science

these fields include but are not limited to for example forensic science which include computer forensics as well

and it involves finding and analyzing data evidence to solve crimes data processing big data and data mining

which are important fields in discovering patterns in large sets of data

advertising companies rely greatly on this an example of this is when advertisement

companies study purchase behaviors of their customers to refine their advertisement to them

next is optimization and graph theory a process of modifying a software system to make it work more efficiently with

fewer resources many industries and companies such as finance companies

insurance companies travel agencies amazon warehouses and many more can greatly benefit from

modern optimization and graph theory bioinformatics and biomedical computing is another important field which is

combining computational biology with computer science scientists analyze and interpret

biological data through bioinformatics bioinformatics is used in projects such as genome project

researchers use bioinformatics to identify genes establish their functions and develop gene-based strategies for

preventing diagnosing and treating diseases python and java are among top soil after languages in

bioinformatics this is such an important field in medicine that nih

cdc md anderson mayo clinic and many other medical entities have a whole department dedicated to bioinformatics

and biomedical computing research computer visualization

which is the use of interactive and sensory representation of abstract data to emphasize cognition

hypothesis building and reasoning scientists architects engineers for space planning or

biomedical applications rely heavily on computer visualizations next pattern recognition which involves

finding similarities or patterns among smaller problems that can help us solve more complex problems

efficiently pattern recognition has application in a statistical analysis

signal processing biomedical image analysis bioinformatics computer graphics

and many many other related fields artificial intelligence which in itself has many different fields

among those are computer vision machine learning natural language processing and

knowledge representation which provides system the ability to automatically learn and improve

experiences without being explicitly programmed for example computer vision trains

machines to interpret and understand the visual world using digital images from cameras videos

and deep learning models computers can accurately identify and classify

objects and further react to what they see fascinating now this brings us to

neural networks which is a fascinating biological inspired programming paradigm enables the computers to

learn from observational data using a powerful set of techniques such as deep learning many companies

such as google microsoft amazon and many more are investing more and more

in neural networks to solve various business problems another application of artificial

intelligence is robotics which train devices to move and react to sensory input

these mentioned fields are very important in today's society and in survival of

many many companies to name a few for example google amazon facebook oracle apple and

many more here is just a little statistics to put the importance of these

fields into perspective according to divot in 2020 microsoft had over 1600 high-level data

employees when i say high-level data employees that means it can be any

of the mentioned fields facebook had over 1100 ibm had over 1200 if you're interested in becoming a computer

scientist and specializing on any of the mentioned data

science fields then you may want to consider starting by getting your bachelor degree

in computational fields such as computer science and then branching out to your favorite

fields enhancing your skills in more than one area while backing it up with few powerhouse

languages such as c plus sql java javascript python and modeling languages

makes you an ideal candidate when you're seeking a job next big computer science related topic

in today's world is cyber security and ethical hacking first let's talk about the difference

between cyber security and ethical hacking cyber security pretty much means to

protect your software system and network against malicious attacks

and ethical hacking is a security and penetration testing on your own system or software to find

all the vulnerabilities following all cyber laws if you're interested in the field of

cyber security you probably want to start with a bachelor in cyber security or computer science

knowing multiple sought-after programming languages such as javascript html python c plus plus

assembly php is a huge plus as well you may also want to enhance your education

with highly valued certifications in cyber security fields such as ceh cissp or any security related

giac certification networking is another important area which enables computers and devices to be connected to each

other on a local area network like your home or office or to a larger network like

internet or a private wide area network if you're interested in becoming a network administrator

then you may also want to invest in certification such as comptia a plus comptia network plus cisco ccna

cisco ccnp mcsa or mcse knowing general purpose languages such as python or modern

language such as go or bash which usually comes with unix-based system

and of course javascript and perl is a big plus other highly sought after areas of

computer science are computer graphics and virtual reality which involves creating

realistic and very detailed images and graphics games and movie industries

rely heavily on these fields of computer science if you're interested in becoming a game

developer or develop animation software one way is to start with getting your bachelor in computer science

while following your desired specialization as elective courses as part of your cs degree knowing highly

sought after programming languages in game development is important as well here is a little fyi on what programming

languages have been reported to be involved in today's gaming and animation industry

for example minecraft was reported to be written in java fortnite and league of legends was

reported to be written in c-pass plus adobe character animator was also reported to be written in c

plus for folder mini vr software companies reported that they use c sharp and c plus plus in their vr

development although i can go on and on i will stop here in hopes that this video

helped you visualize the field of computer science and helped you understand the academic

routes and paths to mention fields even though there are many different

areas from operating system to apps and software development to data science cloud computing forensic science

data processing big data data mining optimization graph theory bioinformatics biomedical

computing computer visualization pattern recognition neural networks artificial intelligence computer vision

machine learning natural language processing knowledge representation robotics

to cyber security ethical hacking computer networks computer graphics animation virtual

reality they all share one thing in common and that is that

they represent the science of computers aka computer science