the main difference between the accenture applied intelligence and the other intelligence paths is that this one is based on applied intelligence, meaning you already know what you want, and it doesn’t rely on a bunch of research and reading.
It’s essentially like the way a person would go through an academic paper; after finishing a section they can look at the next section and see where they went wrong, and then go back and read the first part again.
Of course, it does require some study, research, and reading, but its not all that different from anything else. Its just like your academic paper; you don’t go through the whole thing.
If you have an academic paper, you really should at least look over it. The main differences between academic papers and research papers is that academic papers arent meant to be read in a few hours, they are meant to be read over and over again, and to show that you have an understanding of what was said. A research paper isnt done in an hour, it is done over a long period of time, and to show you that you have a thorough understanding of something.
On the flip side, most academic papers arent done on paper. They are done on a computer. They are written on a computer that you type in. That means that you dont even need to read a paper, or do any type of class work, to be able to understand it. Its more about knowing how to type on a computer.
While we are on the topic of academic research papers, if your major is not in computer science, you will not be as good at it as you could be. No matter how good you are on paper, you aren’t going to be a good writer on the computer. You will be much more like your dad, which is not a bad thing. But if a computer scientist, you are most likely going to be a computer programmer, which is a bad idea.
Just a reminder that a computer scientist is a person who studies computer programming and algorithms, so you are not a computer scientist.
If you are a computer scientist, you are a people person. If computers are the most dangerous thing in the world, than our current state of technology is not a bad thing in itself. It is a bad thing because if we lose all the great advances of the last 30 years, you will not be able to enjoy the greatness that is computer science because that is what is killing it.
So a computer scientist will not be able to enjoy “great advances” because he/she will not understand what they are talking about.
We humans are very good at making analogies that make things sound funny even though we are actually talking about real things that we would rather not talk about at all. However, while it is true that we have a great ability to make analogies, we are also very bad at applying them at the right time.