A Comparison Of Software Engineering And Computer Science

Institutes of higher learning are still not in consensus of what is meant by many technical degrees, such as software engineering and computer science. These fields, along with information technology, information systems, and computer science engineering, are simply too new. Therefore, what one school or employer perceives as a requirement of computer science may be interpreted by another as software engineering.

There are many similarities between the two fields. Both will be expected to understand how computers work, how programs are structured, and what the user is entitled to expect. However, computer science is typically overseen by the mathematics department while software engineering is normally included in the engineering school.

In the early days, computers were hard-wired to perform a certain function. The user did little more than punch a button. Allowing greater user control led to the development of programming languages and compilers to translate “normal” language into computer language. Punched tapes or cards allowed the user to write his own routines. The actual keypunch was often performed by another, typically someone with clerical skills. A misplaced dot, missing bracket, or transposed letter meant that the entire program would fail. There was often no clue as to why, leaving the programmer to pore over the cards as well as his program.

Computer programming began to come into its own with the development of the personal computer. Simplified languages such as BASIC gave more control to the average user. A few minutes spent with a book enabled the user to begin to construct rudimentary programs. Many times, however, the lack of understanding about what a computer could and could not do led to failure. This laid the foundations for the software engineer, who not only understands the program but the physical abilities of the hardware.

One method of examining the differences between software engineering and computer science is to consider how most printers were controlled by the first personal computers. In most cases, changing printer functions such as font size, number of copies, or paper size required entering the proper printer string in DOS. Today, these functions are controlled from an interface on the desktop. The user may enter the information in the software or in the printer dialog box. In a simplified statement, one might say that the creation of the dialog boxes and underlying code was provided by a software engineer. The ability of the printer to understand the commands and comply with them was provided by the computer scientist.

In the most basic terms, CS focuses more on the hardware, circuitry, and networking involved. An SE is typically more concerned with creating a program that will be efficient in terms of size and speed and optimizing the user interface. Neither area, however, has a patent on any one area. To build a network or a computer that is reliable and efficient requires an understanding of what demands will be placed upon it. To write a powerful, “bug-free” program requires knowing how compilers operate, what the processor speeds mean, and the memory needed.

With little standardization between universities, the quality of the degree can vary greatly. Some colleges require CS majors to take Microsoft Office as their first programming course. In some cases, this may be followed by Pascal, COBOL, or RPG, none of which are in high demand today. They may also teach Visual Basic, Visual C++ or Visual J without first teaching the underlying language. By the same token, software engineers may be graduated without a basic understanding of wireless technology. Those seeking a degree as well as employers might be better served by ignoring the title and examining the actual courses required.

Not too many years ago, computer science positions were often filled by those with other degrees, such as electrical engineers. Software engineers were usually those with programming skills, many of whom held no degree at all but were self-taught. As technology became more complex, increased specialization followed. Only by considering the goal is it possible to differentiate between them. For example, if the goal is to produce the greatest game of all time, a software engineer is likely to be the one to meet the challenge. If the goal is to produce the next generation of gaming systems, however, a computer scientist is probably going to make the greatest contribution.

The Relationship Between Science, Technology, and Society

Science and technology is the best thing society could ever ask for. Since the industrial revolution in the 18th century science has been in progress. Some sectors that have been boosted by science and technology are energy, physical sciences, information and communication. The society has greatly gained with the invention of technology.

Infrastructure in the society has grown with the help of science and technology. Modes of transport like electronic railway lines were realized and these actually benefited the society by offering them a better means of transport. In the past, almost everything was analog but thanks to the science and technology we are now being digitalized by the day. The invention of the telephone and radio services has broadened human communication.

Without society then there would be no science and technology and that is why the invention of certain tools and equipment have helped achieve big things. Society can not do without the industries we have today. The society needs science and technology. The creation of computers is work of art by individuals was a milestone that would come a long way in helping the society. A computer helps us to leverage ourselves by gaining valuable information that we can use to enrich our lives. The impact of science and technology can seriously be recognized. Many people around the world take for example scholars in colleges and universities have taken the lead examining the relationship between science and technology.

The evaluation of this relationship has emerged as an important area of research. Public interest groups and academic organizations throughout the world are recognizing the importance of STS. The reason is that people need to recognize that there are people who are affected by the science and technology. Controversies such as modified foods, stem cell research are the issues that have brought policy makers and scientists together to have a way forward on this.

Science and technology has actually largely contributed to the vision of man about himself. Science has been modified the opinion about the origin of man and place of origin too. Through the results of scientific discoveries the perception of man about his behavior and his place of origin has been modified diversly. Experiments in science today are in one way or another affecting the society.Take for example the experiment on cloning a human being. The experiment brought a lot of controversy since the society was skeptical about it.

How is science and technology related to society: The developing world has a long tradition of participatory action research, popular education and community organization joining up to solve some science and technology issues that affect the society. How is science and technology related to the society is something that is calling even for the government intervention. Science and technology related issues are actually been discussed worldwide today. Progress in this has resulted to the ability to produce diverse types of material items. Answering the question how science and technology is related to society.

The Science of Today’s Technology, Data Science

Technology today…

Recently, there has been a surge in the consumption and innovation of information based technology all over the world. Every person, from a child to an 80-year-old man, use the facilities the technology has provided us. Along with this, the increase in population has also played a big role in the tremendous growth of information technology. Now, since there are hundreds of millions of people using this technology, the amount of data must be large too. The normal database software like Oracle and SQL aren’t enough to process this enormous amount of data. Hence the terms ‘Big data’ and ‘Data science’ were coined. Big data has made quite an impact on the world and data science has recently risen to be one of the hottest topics. Now how are these two related?

What is data science?

It is the field of science where different scientific approaches and methodologies are combined in order to study information technology. In layman language, it is technically the science for studying data. This particular field has grown tremendously over the years and presently almost every university has professors and students researching on learning and exploring this field.

Why is it such a hot topic though?

There has always been a need to record the data made by people which will help in predicting the future and also in studying the evolution of people’s way of living. It here plays a big role in recording, managing and retrieving this data. It is required to manage the large number of patients being admitted to hospitals, cars being manufactured per day, predicting the climate condition of the future years and what not.

What more to know about it?

From the examples given above, you must have realized that technology is everywhere. Do you know how Netflix knows the movies and shows you might like? Well, it is all because of data science. It uses machine learning algorithms and approaches to understand the requirements of yours and helps you by being one step ahead of you. The languages which are used in this field are Python, Java, SQL, etc. Before you step into a world of data science, it is important that you have a good amount of knowledge of mathematics and computer science along with these languages. Both can be considered as the basic requirement of this subject.

There has been a rise in the demand of data science as a subject in the universities, but unfortunately, there is not a particular curriculum which can be followed in this field since it is a very generalized field. What’s interesting is that data science has been confused with data analytics many times. In case you face the same problem, you should know that the basic difference between the two fields is that whereas in data analytics one studies the past of the data, in data science you will not only study about the past but also the present and the future of data. It is also said that data science is the base of artificial learning and everyone knows how artificial intelligence has made a dramatic entrance into our lives.