QASIR MANZOOR

Computer Education : 

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Computer education means gaining basic knowledge and skills to operate computers in order to perform desired jobs. Computer Education not only involves basic knowledge about computer, computer education extends to various branches of study in various fields and sectors.

Computer Education is a broad term but it generally there are two concepts used in education; with computer and about computer. The definition of computer education actually depends on time we are speaking of. In the past, computer used the languages which were too complex for everyone to understand; only specific people having specific qualification could be educated about and in computer.  But, as the technology has evolved, their application and reach has widened due to simplicity they provide to general people and sophisticated operations they can perform. As the human civilization further advances in technology, more and more ubiquitous use of computers is bound to be certain.

Benefits of Computer Education:

• It improves Research

• Efficient use of Technology

• Career aspirations

• Enhances creativity

• Improves Performance

• Information one click away

Computer education has become essential qualification for almost all types of jobs. Since computers ensure effective, time saving and accurate results of jobs it is being widely used in organizations and personal use alike. You may notice even most entry level jobs desiring basic training in software programs.

IT Training Nepal is professional training institute providing training courses in various computer courses. We have started this institutes with the aim of bridging the between academic and professional life. We offer training courses in wide varieties of fields ranging from Basic Computer Course to high level programming courses like Android and Micro controllers as per the demands of students and professionals of various educational background, age groups and career fields.

Computer Education section is contributed by our instructors and experts from various professions. This section will discuss about the importance of computer education, the scope of computer education in Nepal, computer degrees available in Nepal, Professional computer education and best practices of it. We will also discuss about the computer degrees available in Nepal, strengths of each computer degree and which computer degree to select if you want to develop a career in IT.

The information found in this section, we hope, will be useful in deciding which course to choose for training and what career can be carved from that specific training. You will also be able to gain insights about the context, trend and practices about those courses. Also, the articles discussed will provide pros and cons of academic education and necessary practical knowledge students should have or develop in order to work competitively in professional life.

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Components of Computer Education

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For anyone interested in a career in computer technology, computer education is critical, given the technology's foundation nature. A well-rounded curriculum in computer technology includes several key areas of study, including hardware, software, systems, architecture, data and security. Hardware refers to the physical elements of a computer system, while software enables the user to work with those physical elements. Systems comprise a connected array of hardware, software and data marshaled together to solve business problems. The architecture is the “blueprint” that describes in some detail how a particular system will function. The data of a system and how data are used, modified and deleted can be thought of as the single most important component of a system. Failure to manage data correctly leads to costly re-dos and workarounds. Security is also crucial, as protecting private data and systems has become a key criterion for success in the global marketplace.

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1 - Computer and Network Security

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In this field, CS experts address software vulnerabilities and mitigate security risks. Coursework for this specialization typically includes topics such as database management, advanced operating systems, cryptography, and advanced encryption strategies.

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2 - Mobile and Web Computing

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Academic programs in this field may focus on broad, theory-based applications of networking protocols and other aspects of systems design. Other programs will focus on the creation of websites or mobile applications with an emphasis on interface design.

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3 - Human-Computer Interaction

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This concentration prepares students to design and create the next generation of computers and technology. This might include moving beyond the traditional model of a keyboard and monitor to any number of other interfaces. Programs in this concentration often include coursework on design thinking and user studies.

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4 - Software Engineering

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Programs in software engineering or software theory generally place a heavy emphasis on programming languages for a variety of uses. These programs typically highlight collaborative teamwork and software security. Students in this concentration will take courses on computer systems, compilers, and databases. (We cover software engineering as its own discipline in another set of FAQs.)

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5 - Bioinformatics​

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Bioinformatics focuses on the intersection of computer science and biological science. Programs in bioinformatics will prepare students to mine and interpret biological data. This specialization often includes applications of technology in medical contexts, such as genome sequencing and computational biology.

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6 - Information Management and Data Analytics

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In this field, students will learn techniques and strategies to store, organize, and analyze massive data sets. Topics for coursework in this field generally include algorithms for data mining, database architecture, and distributed systems and networking. While data analytics is a subtopic of computer science, there are also degree programs specifically for big data.

*************Common learning in this specialization

 

• Probability and Statistics

• Computational Stochastic Modeling

• Business Data Warehouses and Dimensional Modeling

• Machine Learning and Data Mining

• Data Analysis and Visualization

 

1.Database management

A concentration in database management teaches students to develop, implement, troubleshoot, and maintain database systems. Graduates will be prepared to oversee platform upgrades and hardware and software installation.

Courses within this concentration might include Large-Scale Data Storage Systems; Databases and Knowledge Bases; and Database Administration with Oracle.

2.Cyber security

Cyber security experts anticipate and protect against digital threats to trade and military secrets, customer data, and financial details. Graduates may be employed by government agencies, corporations, and other organizations with sensitive data.

Courses include Data Security, Privacy, and Ethics; Computer Systems Security; and Encryption and Authentication Systems Data Modeling.

3.Business Intelligence and Analytics

These programs often blend the curriculum for marketing or consumer research with mathematics and statistics courses. Graduates will be well versed in business theory and best practices as well as technical data analysis strategies.

Courses in Business intelligence and Analytics include Advanced Marketing Analysis; Use of Business Intelligence; and Global Marketing Management.

4.Computational Biology and Bioinformatics

Students with a specialization in computational biology or bioinformatics will learn to use mathematical modeling and computer-based simulation to study many different types of systems. This concentration has considerable overlap with fields such as anatomy, molecular biology, genomics, neuroscience, chemistry, animation, and more.

Courses commonly include Mathematics for Data Scientists; Introduction to Computational Biology; and Data Systems in the Life Sciences.

5.Project Management

A specialization in Project Management is ideal for students who plan to work as an Analytics Manager or a Director of Analytics. These programs usually focus on preparing graduates for leadership roles in information technology and computer science.

Courses in this concentration commonly include International Operations Management; Ethical Leadership; Managerial Economics; and Quantitative Decision Making.

 

6 . Artificial Intelligence

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The field of artificial intelligence incorporates topics such as probability and modeling, robotics, logical reasoning, natural language processing, and machine learning. Applications of AI include autonomous cars, data mining and analysis, and intelligent tutoring systems (ITS) for teaching students.

Stanford University’s acclaimed College of Engineering provides a more detailed description of these specializations and numerous others.

The spectrum of specializations within computer science offers plenty of choices for students and professionals alike. It’s never too early to start honing in on the specialization where you’d most like to work.

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What to learn in computer science 

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Data Structures

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Creating a computer program or mobile app isn’t as simple as dropping code on a page and hoping it works. The data needs to have a specific structure to enable the programs to do their jobs. A properly organized data structure allows the data within to be accessed and modified easily. This is the foundation for creating any data storage system. Your Google Drive works on a well-designed data structure system, as does your desktop computer’s hard drive.

Studying data structures will give you the tools you need to create new data retrieval methods that could be valuable for your information storage, making this one of the most exciting computer science subjects to study.

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Computer Networks

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Many industries rely on computer networks to store information, monitor computer use and communicate between remote office locations. While computer networking might seem like the purview of an IT professional, it is still a huge part of computer science.

While you can study computer networking in school, you can learn the foundations by setting up a network between your computers and other devices at home. If your computers use different operating systems, finding a way to network them is the essence of this computer science skill.

Web Technology

Have you ever built a website? Even if you’re using drag-and-drop templates like those available from providers like WordPress, you’ve taken a step into the world of web technology. Web technology is the foundation for most of the websites you visit daily — even platforms like Facebook and Twitter have a team of scientists who designed their websites to make them work more efficiently.

Web technology can be easy to learn, and it has so many practical applications, we can’t encourage it enough as one of the computer science subjects you should study.

 

What Will Scientists Discover Next?

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Algorithms

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Here is where computer science starts to get fun. Algorithms are a set of rules to be followed in calculations or problem-solving applications, and they are one of the keys to computer science. There are even algorithms being designed right now that allow computer programs to learn on their own, creating extremely efficient programs that can sort through massive amounts of data, find patterns and even predict the future with relative accuracy if they have enough data.

Eventually, these algorithms will be used to control things like self-driving cars and make predictions about finance, medicine and many other industries.

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Programming Languages

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You can’t study computer science without programming languages. Research HTML/CSS for web development, C++ for mobile apps or computer games or Java for in-browser animations and other interactive features, to name a few.

You don’t even have to go to school to learn programming languages. Head to code.org for the basics — this site is for children, but it can be useful for adult beginners as well — and then to codeacademy.com for more comprehensive lessons on most of the currently used programming languages.]

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Database Systems

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A database is merely a method for storing data — this could be as simple as a text file in Notepad, or as complicated as a spreadsheet in Microsoft Excel or other database software. Learning to use database management systems can make it easier to keep track of your files and other data stored on your computer, but it’s so much more than that. Many companies that use database systems are always looking for someone to run their system and keep track of their files.

Start by using an easily accessible database program like Microsoft Access. You might find you have a talent for databases that you can turn into a career in data management. Even if this isn’t the path you choose, this is a vitally important class for a career in computer science.

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E-Commerce

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Many transactions have moved online, which has created an entirely new field — e-commerce. Globally, customers spend more than $1.2 million online every 30 seconds. This class is just as important for computer scientists as it is for business majors. While computer scientists might not be directly related to the transactions, they are responsible for creating the infrastructure that supports e-commerce.

If a website generates income for its company, having the site go down can cost thousands in lost profits. An e-commerce class can teach you how these things work from a business perspective, in addition to the angle you’ll need as a computer scientist.

Electronics

It’s hard to write a program for a computer if you don’t understand how the hardware works. That’s where classes like electronics and computer engineering come in. These classes will teach you to understand the equipment so you can better understand the software you’re creating.

Even if you don’t like building computers and prefer to write programs, having a foundation in electronics can improve your skills as a computer scientist.

This list is just a small sample of the courses you might need to take to pursue a career in computer science. A degree program — either online or in a traditional brick-and-mortar school — will teach you everything from the courses listed above to compiler design, the theory of computation, Java programming and everything in between.

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Math for Computer Science

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Many of the computer science subjects you study will require some basic and advanced math, so you can’t hope to succeed in the industry without a strong foundation in mathematics. You’ll need to know how to transform numbers between the different numerical bases, solve math problems in those bases, and how to describe space using coordinates and graphs. Computers speak to one another in binary, and unless you know how to understand that, you might find yourself lost no matter how many programming languages you learn.

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Big Data/Analytics

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Companies generate hundreds of terabytes of data every year. It’s up to big data and analytics specialists to create the programs that will sort through that information and turn it into something useful. Big data used to be an industry buzzword but as more and more sectors become entirely digital, this computer science is becoming less of a buzzword and more of an industry necessity. Learning how to navigate big data and analytics isn’t difficult, especially if you already have a strong computer sciences foundation, but it could help you corner the market as more companies begin relying on this branch of computer science to run their business.

Machine Learning/Artificial Intelligence

Computers are getting smarter every year, and while artificial intelligence might have a bad reputation thanks to popular culture, it could be a useful tool and it’s definitely on the horizon. Computer science experts are already working toward the creation of autonomous AI and have completed programs that are capable of learning on their own. Google has a fantastic database of resources for anyone interested in learning more about AI and machine learning. If you love computers but really want to be on the cutting edge of computer science, this is a growing field that you should consider studying.

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Bioinformatics

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Many branches of science rely heavily on computers to process the information that each experiment generates. That’s where bioinformatics comes in. A specialist in bioinformatics creates and programs the tools that scientists will use to understand biological data. You don’t have to be a biologist to study this field, though you will need a basic understanding of genetics and genomics, biological sequencing and statistics to thrive in this field. It can be a fascinating computer science subject to study even if you don’t see yourself working in the field, because it gives you some insight into the research that is going on and how we’re working to understand our bodies and the world around us.

 

Graphics and Audio Design

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Every computer and video game you’ve ever played has had a team of graphics and sound designers behind it. If learning a programming language or two doesn’t interest you, consider studying graphics and audio design. These skills come into play anytime you’re creating something with a programming language, whether it’s a mobile app or a AAA video game title. It’s amazing to see what you can create with nothing more than a keyboard, a mouse and occasionally a drawing tablet.

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Databases : 

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Database Programming Class and Course Descriptions

Database programming courses range from the general introduction to database programming to classes in specific programming languages such as C#, Java, and Perl. Students usually take these courses as part of a full certificate or degree program.

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Essential Information

Database programming classes are typically part of a computer programming, information technology, database design, or computer science degree program. These classes and courses can be found at every level of post-secondary education, from two-year colleges to graduate schools. Certificate programs in database programming also exist, especially with Oracle- or Microsoft-centric technologies.

Students in a certificate or degree programs in the field usually learn to make and use simple databases and initiate simple queries before they begin studying the processes of using programming languages to develop more complex databases. Students also take courses that teach them to use structured query language (SQL) and make Web applications that utilize database technologies.

Topics in typical database programming classes include the following:

• Database theory

• History of database technologies

• Basic network security

• Database design

• Database management systems such as Microsoft SQL Server, Oracle, and Microsoft Access.

• Object-oriented programming with languages like Java

• Open-source database technologies like MySQL

• Web database programming

List of Classes

Introduction to Databases and Programming

This overview course focuses on the uses of relational and object-oriented databases for storing and managing information. Topics covered include computer database terminology and the evolution of the modern database. Database management systems (DBMS) such as Oracle, MySQL, Microsoft SQL Server, and Microsoft Access are introduced along with query languages. Hands-on instruction includes the creation of simple databases, inputting data, and developing basic queries.

Relational Database Programming

A relational database contains sets of data with related information. Students study relational theory, data modeling, and logical organization of data and query languages before constructing their own relational data sets and database. Functions, limitations, and design challenges of working with relational databases are discussed.

Database Programming Languages

Students study programming languages such as Perl, Ruby, and Java in this course. The differences between object-oriented languages, embedded query languages, and logic-based languages are all discussed.

Programming in SQL

Structured query language (SQL) is used to manage databases. This course instructs database programmers on how to use SQL to create, modify, and search stored data. Students create complex queries to retrieve specific data from a database. SQL command statements, both static and dynamic, are demonstrated. In some cases, this course is taught using an Oracle database; in others, it's taught using Microsoft- or open-source database technologies. This course can be taken after completing a course in relational databases.

Developing Web Databases

Internet retailers collect an incredible amount of data in order to complete a sale, including customer names, addresses, and credit card numbers. The data is inputted by the buyer and stored in a relational database for retrieval by the seller.

This course teaches skills for developing Web applications. Students learn current technologies for developing Web databases, including client interface programs such as ColdFusion. SQL and other database and Web programming languages are reviewed. Other topics include data security and creating basic Web pages. This is an advanced course for students who have some programming experience.

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Networking : 

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There is no denying that computers and networks are the driving forces of the modern world. No matter what new technologies emerge, whether it is cloud computing or big data or any other technology, they are ultimately powered by networks. Therefore, data networking is and has been, a hot field for quite some time now, which is not likely to change in the future.

So, how can you prepare yourself for computer networking? Of course through training programs and certification in networking courses.

For years, professionals in IT have targeted certifications as a valuable resource for validating knowledge and skills. If you are a job seeker or keen to upgrade your career, certifications are a great way to prove your knowledge and skills to recruiters. They successfully generate an interest in your profile and easily make a mark on your employers.

However, achieving an IT certification may not be a cakewalk and can seem to be a tedious and time-consuming process. Therefore, choosing the right certification for networking to enhance your career is a crucial decision before you begin your certification journey.

Top Certification Courses in Networking Available in the IT Market

The certification courses in computer networking have the benefit of covering all the basic computer science topics while you develop an expertise in the way they interact and connect to one another. Computer networking has many different applications, from analysis to support positions, so there is a lot you can do in your organization if you have a certification in networking.

For professionals who are seeking a career in computer networking, like any discipline in IT, training and certification are critical. The key to a successful career in networking is a combination of classroom training and industry certifications.

To help you choose the most suitable certification for you, we have enlisted some of the top certification courses in computer networking:

Cisco Certified Network Professional (CCNP) – Datacenter

Cisco Certified Network Professional (CCNP) – Datacenter is a popular professional level certification offered by Cisco Systems. It typically focuses on network infrastructure inside the data center. With technology innovations increasingly focusing inward, to the core of the datacenter, this certification program has become very popular among network professionals to master datacenter technologies.

To become CCNP Datacenter certified, a network administrator is required to clear four examinations. Two of the exams are mandatory and test the professional’s knowledge of Unified Computing System and datacenter Cisco Nexus switches.

After successfully clearing the first two exams, the candidate can choose two exams from another set of four exams, according to his preference, that would test his expertise of working in network design or network operations and troubleshooting.

The aforementioned four exams cover topics including the integration between Cisco’s Unified Computing System and other virtualization solutions such as Microsoft, VMware, and Citrix. They also deal with the design and troubleshooting of Cisco’s Fabric switches in data centers.

Cisco Certified Internetwork Expert (CCIE)

Cisco Certified Internetwork Expert (CCIE) is the most desirable expert-level certification for network engineers. It is considered to be a prestigious certification in the IT industry that validates the commitment and hard work traits of a professional. Since its introduction in 1993, CCIE has facilitated many network administrators to prove their high-level networking skills.

The certification has proven to be very rewarding for network professionals since decades and it engenders new opportunities for network administrators in the IT job market.

Earning the CCIE certification can become extremely hard as it requires passing an onerous eight-hour lab examination which is considered one of the toughest exams in the IT industry. Individuals, who attain the certification, are also required to renew their CCIE certifications every two years by appearing for CCIE written exam in order to keep the certification active.

Juniper Networks Certified Internet Associate or Specialist (JNCIA/JNCIS)

Juniper certification generally emphasizes the knowledge of Junos, the operating system of the Juniper Networks that has a hand-in-glove fit with Juniper’s range of networking hardware. Junos was released in 1998 and is very similar to the open-source Unix OS FreeBSD. Though its roots lie in FreeBSD, Junos has been regularly modified and upgraded by Juniper Networks since its inception.

JNCIA is the first rung on the Juniper certification ladder and basically has three tracks, namely, Enterprise Routing & Switching, Security, and Service Provider Routing & Switching. However, JNCIA is not a prerequisite for JNCIS certification. If you have already got a solid grasp of IT networking, you can directly go for JNCIS certification, which offers the three tracks as in JNCIA in addition to two product technology tracks specific to Firewall/VPN and QFabric.

VMware Certified Professional 6 – Network Virtualization (VCP6-NV)

As we know, VMware is an industry-leading automation and virtualization company that focuses on cloud infrastructure, computer networking, and storage virtualization. VMware Certified Professional 6 – Network Virtualization (VCP6-NV) is one of the highly prized certifications in networking.

It is a professional level certification that imparts knowledge on VMware’s network virtualization product “VMware NSX” and enables infrastructure administrators to separate IT systems and end-users from the network physical hardware.

To earn the VCP6-NV certification, professionals are required to clear two exams that test their knowledge and expertise in VMware vSphere and VMware NSX products respectively. Both the exams focus on VMware technologies as well as how to deploy and troubleshoot the products.

AWS Certified Solutions Architect – Associate

According to Gartner IaaS Magic Quadrant, Amazon Web Services is the market leader for cloud computing for the 5th consecutive year. In 2013, Amazon launched its AWS certification program to equip IT professionals with the skills to support AWS clients.

As cloud computing and networking are becoming more intertwined day by day, this certification is an excellent transitional step for a network engineer transitioning from physical networks to virtual ones.

AWS Certified Solutions Architect – Associate certification is intended for individuals who work in supporting cloud-based distributed systems. The certification covers fault tolerant, and scalable systems on AWS. This certification in networking is valuable for IT professionals who work for customers that are currently or planning to host their IT systems on AWS.

To become an AWS Certified Solutions Architect, candidates must possess programming skills that are mandatory for network engineers who design and operate automated network infrastructures. Amazon also offers a professional level certification that covers these concepts more comprehensively.

CompTIA Network+

Network+, a vendor-neutral certification for networking, introduces network administrators to various network technologies. This is an entry-level certification and validates the knowledge and skills of network administrators in dealing with network infrastructure. Being vendor-neutral, this certification is designed to provide the basic skills needed to design, and operate any network.

The Network+ certification, offered by CompTIA, remains valid for three years. Network administrators usually acquire this certification at the onset of their career and then build on it to achieve more expert levels certifications. This certification is particularly desirable for anyone looking to begin their career in networking.

Network+ opens up various entry-level job opportunities for aspiring network professionals. Additionally, IT giants like Microsoft, Novell, Cisco, and HP recognize CompTIA Network+ as part of their certification tracks.

Why Delay?

Network certifications are a great way to go for IT professionals. To begin or enhance your career in the field of computer networking, explore the different certification options available to you and choose the right program that would drive you to success.

There is no denying that computer networking professionals are high in demand. After all, virtually every business, regardless of their type or size, utilizes computers, and of course, most of them incorporate networks.

So, why delay anymore? Enroll for the most suitable certification course in networking and choose to work as a network administrator, engineer, analyst, technician, or even as a computer network instructor.

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Languages :

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Language Rank

Types

Spectrum Ranking

1.

Python

2.

C++

 

3.

Java

4.

C

 

 

5.

C#

 

6.

PHP

 

7.

R

 

8.

JavaScript

 

9.

Go

 

 

10.

Assembly

11.

Matlab

12.

Scala

 

13.

Ruby

 

14.

HTML

 

15.

Arduino

16.

Shell

7.

Perl

18.

Swift

19.

Processing

20.

Objective-C

21.

Lua

22.

 

 

Fortran

 

23

 

SQL

24.

Haskell

 

25.

VHDL

 

26.

Visual Basic

27.

Cuda

 

28.

Rust

29.

Verilog

 

30.

D

31.

Delphi

 

32.

Julia

33.

Lisp

34.

Prolog

35.

LabView

36.

Erlang

 

37.

SAS

38.

Clojure

39.

Cobol

40.

ABAP

41.

TCL

42.

Ada

43.

Scheme

 

44.

J

45.

Ocaml

46.

Ladder Logic

47.

Actionscript

48.

Forth

 

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