3
$\begingroup$

I'm trying to categorize university courses of the department of computer science and electronic engineering.

Such courses may include:

  1. Data Analytics and Machine Learning
  2. Computer Science and Physics
  3. Computer Science and Mathematics
  4. Cyber Security (NETWORKS CATEGORY)
  5. Computer Science and AI (COMPUTING CATEGORY)
  6. ...

With this small list of courses, if I were to combine courses in categories, what would be the best word to use for 1/2/3


UPDATE:

I did some research and found out that science can be separated in Pure Sciences and Applied Sciences.

Pure Science includes:

  1. Physical Science (Physics, Chemistry, Astronomy)
  2. Earth Science (Geology, Oceanography, Paleontology, Meteorology, Petrology)
  3. Life Science (Botany, Zoology, Genetics, Medicine, Nuitrition)

But I'm not sure where TECHNOLOGY (Computation, Engineering, ...) belongs as well as ARTS?

$\endgroup$
  • 1
    $\begingroup$ This question is surely a closer fit with the requirements of Computer Science Educators.SE. $\endgroup$ – Edwin Ashworth Jun 3 at 18:32
  • $\begingroup$ I can see how 2 and 3 fit into a category into which none of the others fit (although courses such as "Computer Science and Biology" and "Computer Science and Archeology" would also fit into the same category) but I don't see that 1 fits into that category at all. $\endgroup$ – BoldBen Jun 3 at 19:52
  • $\begingroup$ @EdwinAshworth I have no idea what you meant by that. $\endgroup$ – Loizos Vasileiou Jun 3 at 20:43
  • $\begingroup$ @BoldBen Okay, thanks for your reply. $\endgroup$ – Loizos Vasileiou Jun 3 at 20:44
  • 1
    $\begingroup$ I don't know of any single-word, but all of the subjects that you're trying to lump together seem to be those of which, a deep understanding must be built on a foundation of mathematics. Mathematical notation is a language that we use to describe and understand how the physical world works, and also, how our inventions work. $\endgroup$ – Solomon Slow Jun 4 at 19:11
5
$\begingroup$

Sciences of the Artificial

There are many ways to categorize the sciences. Herbert Simon (Nobel Prize winner, pioneer of artificial intelligence as well as economics, organization theory, etc.) wrote a book-length essay called The Sciences of the Artificial to make a case for why the "applied" sciences have a rightful place in academia.

In The Sciences of the Artificial, Simon laid the foundations for a philosophy of the artificial and a science of design. Artificial (i.e. “man-made”) things surround us. They are constrained by physical laws and, if we want, we can study them “objectively” using the natural sciences: for example, a physicist could take an airplane as a given and study the way it is affected by the flow of wind. But this doesn’t really capture the whole truth of the artifact. An artifact such as an airplane also embodies certain goals that we need to grasp if we are to understand it.

“If science is to encompass these objects and phenomena in which human purpose as well as natural law are embodied, it must have means for relating these two disparate components.” (Simon, p. 3)

An artifact for Simon could be seen as a meeting point between an “inner environment”, the way the artifact itself worked, and an “outer environment”, the problem it addresses and the context in which it operates. The relationship between the inner and outer environments is where we find human purpose. A problem solver, engineer, or designer is someone who tries to make the inner environment appropriate to the outer environment. For example: for the inventor of an airplane, the outer environment is characterized by the known laws of gravity and air pressure. He makes choices about the inner environment (the materials to use, the type of engine, and so forth) in order to achieve a goal—flight.

"Goals" as subject of study

For a while I did a lot of reviewing papers in the "design science" domain in my academic field. Somewhere in all of that material (I can't remember the author) I came across a categorization of the sciences that used the relationship between the science and human purpose:

  • The physical sciences such as mathematics, physics, chemistry, pay no attention to human goals.
  • The social sciences such as psychology, sociology, economics, study human motivations as natural phenomena, but are indifferent to them.
  • The design sciences or sciences of the artificial such as architecture, engineering, medicine, business, allow researchers to take sides, to work on important human goals. They study problems as perceived by humans, and they study solutions, both using scientific methods.
| improve this answer | |
$\endgroup$
  • $\begingroup$ That's a very interesting piece of information. Many thanks @workerjoe $\endgroup$ – Loizos Vasileiou Jun 5 at 19:30
2
$\begingroup$

Very nice explanation from @Buffy, on the Computer Science Educators SE.

In what branch of science does technology belong?

| improve this answer | |
$\endgroup$
0
$\begingroup$

In answer to the original question, finding a "category" for

  1. Data Analytics and Machine Learning
  2. Computer Science and Physics
  3. Computer Science and Mathematics

in the same vein as the "networks" and "computing" categories, I might call 2 & 3 (and possibly 1) Applied Computing since they aren't about a CS topic but rather about applying CS topics to the benefit of other fields.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.