Science for SEO

Science for SEO is relatively new marketing buzz for relatively old concepts.

There have been various articles written questioning, "Is SEO a science or an art?" True SEO is a combination of both science and art. Thus far, science for SEO has been coined yet not expressed in it's fullest context.

Define science:

A branch of knowledge or study dealing with a body of facts or truths systematically arranged and showing the operation of general laws.

Define social science:

The study of society and social behavior.

Define SEO:

The process of improving the volume and quality of traffic to a web site from search engines via natural ("organic" or "algorithmic") search results.

Define art:

The quality, production, expression, or realm, according to aesthetic principles, of what is beautiful, appealing, or of more than ordinary significance. Science for SEO: The Semantic Web

One of the most beautiful reasons to use a computer is for the purpose of gaining an education in areas of interest that, in the past, could only be obtained in an institutional setting. This is not the case today. The web is filled with forums, blogs, tutorials, white papers and lessons and associates that provide us with educative tools. Never leaving a cup of coffee behind, we have all that we need to secure a secular future for ourselves. The science behind the semantic web, until recently, has seemed a mystery to the majority. Somewhat fearful, we have falsely believed that it is beyond the average persons understanding, so we allow the schooled ones to lead the discussions.

Define semantic web:

An evolving extension of the World Wide Web in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. Understanding quantitative analysis is a sign of certain intellect yet also not required in understanding science for SEO.

Science for SEO: Keyword Research

Thorough keyword research is the very heart of SEO. It includes the variables of competitor research, comparisons of search volume vs. competition, evaluation of trends, consumer rationale and psychology.Understanding people, language, assessment of needs and demand, desires specific to geographical locations, are all part of keyword research for SEO campaigns. This ultimately entails openness to a degree of social sciences, which many are naturally equipped with, yet may not realize. SEO is embodied by this.

Science for SEO: Copywriting

In the beginning, SEO was most readily defined as a means to optimize a website for visibility in search engine results pages. Thanks to marketing buzz, it has expanded to entail much more.
Over time, we came to understand that visibility is awesome but well written copy is the securer of conversion and ROI. e.g. an attractive title, an alluring call to action within the results description and page content and so on. Drawing the attention of the reader to fine tuned copy that ranks well and appeals to consumer needs is the golden ticket of SEO. Its purpose.

The Art Behind the Science:

In order for SEO to be useful, it must entail research, creativity, foresight (predictive thinking), and a degree of scientific capacity which enables us to see the essential pieces of the entire puzzle and to implement them efficiently. SEO will grow and expand as people grow and expand. Its core is the ability to understand connect, and efficiently communicate with people. Without this, it would be useless.

What IS Science for SEO?

Artistic combination of computer and social sciences to enhance search engine visibility and secure consumer conversion.

Mathematics

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Is there a better way to learn mathematics as one progresses to higher level of education?

There are many ways to learn a subject. Different people has different learning style. However, regardless of learning style, there are two particular ways to learn knowledge within any style. The first way is memory method. This way of learning focuses on remembering facts and details, and recalling them when required. The second method is to understand the underlying concepts of the facts. It is the "what" versus the "how" and "why". Either way has their merits and demerits. It depends on the education level and complexity of the subject matters. Sometimes, a hybrid of both are necessary to reap the best possible results, especially in learning mathematics.

For elementary mathematics level, the amount of mathematical facts and concepts to be learned are marginal, and only serves to lay foundation for further advancement into higher mathematics learning. At the basic level, memory method of learning may be acceptable and manageable. But how about maintaining this way when one progresses into higher mathematics studies?

At a higher level of mathematics learning, the learning taxonomy moves into the application level and beyond. Mastery of concepts becomes an important factor in analyzing and solving more complex mathematics questions. Mathematical equations and expressions get more integrated with detailed concepts. Pure memory will not be able to extract out the true meaning of these equations and expressions. A few mathematical tools may be required to solve a mathematics problem. This combination of solving methods and concepts rendered pure memory way of learning mathematics unacceptable. The scope to cover all possible combinations of solving tools and questions is far too wide to manage. Staying firm with this facts-remembering method will only cause the performance and outcome to dwindle low. This will reduce the motivation to study and may decline towards the fearful mathematics anxiety situation.

Studying mathematics is different from other subjects in that a unique language is used to present mathematical meaning. Symbols and variables are used to form relationships and conditions. Many in-depth concepts are embedded into these few symbols and variables, including mathematical operators. True mastery of the mathematics concepts is therefore needed. However, it should not be said that memorising facts are completely useless at the higher level of mathematics education. It still serves its purpose in that they are the basic ingredients for the brain to link up with the solving methods and conceptual approach. It is these linkages or bondings that retain and strengthen the acquired knowledge longer. This is real mastery of the subject and its topics. A hybid of both learning methods is therefore necessary to achieve a level of acceptable comprehension with more emphasis going towards mastery of concepts.

In conclusion, time causes facts to fade off. Memorising facts will therefore not last long. A better learning platform is to focus on relationship and concept mastery. Linking facts to solving strategy becomes a useful problem-solving skill and has the benefit that it will last longer. Understanding the "why" and "how" is better when they complement the "what". Resistance to studying advance mathematics will then be lowered when the correct method of learning mathematics through mastery of concepts is applied.

Computer sciences

Computer science and information technology has long been known as a great field to get into, but lately there has been a rumor going around that the industry is in a slump, causing fewer students to enroll in a computer science degree program. Unfortunately, the rumor is not at all true, and students are being turned away from a field they are interested in for no reason: The technology industry is still booming, still creating lots of new jobs every day, and still a great field in which to work.

Here are just a few reasons why you should still get that computer science degree and pursue your dream career:

Technology-related jobs are expanding at a phenomenal rate. Many students in the United States worry that the computer science industry is short-lived, because so many corporations are outsourcing technical support and other services to foreign countries such as India. The truth is, though, that the IT industry in the United States is growing far faster than the outsourcing trend. Many more computer science jobs are being created every year than those being eliminated in favor of outsourcing.

A technological world means job security. Let's face it; we are now more dependent on technology than ever. Common sense, then, should tell us that technological jobs couldn't possibly be decreasing, when technology itself is on the rise! As more and more of our life is computerized, more and more IT jobs will be created to support and maintain our accustomed lifestyle. This means that a computer science degree offers job security -- your particular specialty will always be in demand.

Enrollment in computer science degree programs is down. Unfortunately, many students have taken to heart that computer science is a bad field to get into, and as a result fewer students are enrolling in computer science degree programs. Since the IT industry is in fact expanding within the United States, the result is that the students currently enrolled in computer science programs will have less competition entering the workforce when they graduate.

Computer science jobs are just plain fun. Computers are a hobby and a passion for many people. If you love working with computers and technology, don't be persuaded to choose another career path by the rumors that IT is a doomed field in the United States. The truth is, of course, that the industry is still booming as much as, or even more than ever, but it's about more than just that. How much is it worth to you to have a job you love? Many American adults never experience this satisfaction; so don't turn away from your dream just because somebody tells you the industry is failing, particularly when they are wrong.

Despite what the rumor mills have to say, computer and technology related jobs still have a lot going for them, making a computer science degree a smart choice for any student.

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