Lab 9

Before the lab began, I new the basics of how to find out some data analysis using a calculator, pencil, and paper. After the lecture, I can now do some intermediate calculations, although I am still rusty and math is not my stronge suit. It really helps that my knowledge of excel has increased due to the past couple of labs and I am now able to do all my calculations using excel with very few problems. The great thing about excel is the ability it gives you to experiment and easily go back a re-try anything that did not work.

Lab 8

Histogram From Lab 8.
In lab 8 we expanded our knowledge of how to work excel, emphasizing sorting data and building charts and graphs, like this histogram to the left.

A B Out 1 Out2
0 0 1 1
0 1 1 1
1 1 0 0
1 0 1 1

Logic Gate Simulator

This is an example of what I call a "One or the Other" logic gate simulator. It stands for when one switch is turned on and the other is turned off then it works, if they are both turned off then there is a zero for the output. Similarly when they are both turned on it doesnt work. XOR.
When you add the NOT gate it reverses the chart. For example when there are two zeros there is a one and when there are both ones there is a one. One one and one zero equal a zero.

Lab 6

To convert the binary number 110010101 to decimal, and
the decimal number 529 to binary, you must set the
binary number 110010101 as 9 spaces. Starting from the
right you write under it 2^0, 2^1 and so on until you
reach the last 1 on the left side and it will read 2^8
or 256. Whenever the number 1 appears you add the 2 to
the power or whatever together and that is your
answer. The binary number 110010101 to decimal is 405.
You do the same thing for the decimal number 529, but
this time you multiply 2^2 or 4 by 5 which is 20, then
2^1 which is 2 by 2 which is 4 and so on. The final
addition binary number is 33.

A positional number system is for example taking the
number 529 and assignment positions for each of the
three numbers. The 5 would be the hundreds position,
the 2 in the tens position, and the 9 in the ones
position. A non-positional number system does not
require each position to be positional itself.

A model is system or thing used as an example to follow or imitate. It can be a fashion sense that one is yearning to copy, or just something as a simple letter. Anything can be modeled; it just takes experience with trial and error. Once you’ve found the modeling agent, then learn the environment, and become familiar with the agent. This requires cheap effective, automatic message-routing strategies. A model can collect relationships. For example, things that always happen are the deductive info, as opposed to what tends to happen; or the induction. It’s all based around a relation of symbols and objects and rules etc. Many attempts to copy the modeling system were first designed by Fibonacci. His model starts out with the letter B, where B= A, and A= BA. Then each sequence is assigned a number where the length of the string is the Fibonacci sequence. To understand the world deeper, you must build a model in scientific terms, as it says to reduce apparent complexity to a set of simpler rules. Better yet known as a theory. A theory is a prediction that has to be tested and experimented with through trial and error. An accurate model requires different angles and different perspectives. You look at not just the explicit and obvious details, but also the implicit deeper angles. Modeling can also be used for tracking users. Not only just the typical users but the classes and subclasses of users as well. The four symbols I used today during the lab were: cd (change directory), cal (calender), date (show the date and time), and exit (to log off). The only noticeable difference between DOS and UNIX is DOS uses all caps. Windows does not use commands and is based by clicking the mouse on separate commands. For example to delete a file you would just have to right click and select delete.

Lab 4 Notes on Modeling the World

The dictionary’s definition of model is “a standard or example for imitation or comparison.” It is a representation that acts as a prototype for something. Symbols are intangibles of the world. They are abstractions used for easier communication and manipulations. Because symbols are abstract they are easily manipulated and created as new. Aristotle was the first to relate information to physics and its concepts. He related the rules upon symbols to the law-like behavior of the world. Physics and the help of Aristotle and Galileo allowed information to be measured quantitatively with actual number measurements and abstraction. Heinrich Hertz called images a “physical theory becomes about building relationships among observationally-derived symbols: Models.” He came up with hypotheses about how to anticipate about future events so we can arrange our present things as well. Anything can be modeled. If I wanted to model a plant in terms of number and letters it can be done. According to Fibonacci and his L theory, you can use symbols such as B and A. You start off at B and make B=A, and A= BA. Many things are deceiving in the world and can be liked or dislike by many, but in order to have that dislike information must be flowing all around us.

Lab 2 Summary Notes

All information is based around a relation. Relations that are among signs objects and anything else that are capable of understanding. A sign informs an agent about things. Everything’s based among a relation (information) about anything that can be decoded. To understand informatics you must first understand sign system and context. Context, meaning the circumstances that form the setting for an event, statement, or idea. Syntax meaning sentence structure, semantics are the actual meaning of the sentences, and pragmatics meaning language and the context in which it used. Icons represent objects. Things like computer icons, footprints in the sand, pictures of curvy roads, etc. then an index is what represents the object. Symbols of things, objects, etc are of choice or of ones personal whim. Combining two different elements or hybrids can also make sings. Since signs are made by choice, they can be manipulated and confusing to many. They can be of opinion, which could mean only certain people, understand. The lecture also discusses how effective and productive electronic channels are in their transmission. Cluade Shannon explored information with electrical channels and how they pass on or transmit elsewhere. His experiments and willful thoughts became known as the information theory.

Infoport: Library of Babel

Infoport: Library of Babel

After Class Theory

Now, after going to class and hearing about The Library of Babel, I realize it's not a metaphor at all, but a piece about information. Jorge Luis Borges was trying to describe the language confusion with the first bits of technology.

The Library of Babel

The Library of Babel is a very confusing short story. I think is pretty obvious that it is a metaphor for some that is not actually a library. I'm not exactly sure what, but my guess is life in general and the history of the world. It could be another "creation myth", but it is lacking in the words that describe a "creation myth". I am also not too sure how this relates to the Informatics 101 class, although there is talk of technology in the story. Re-thinking the story and the point of the metaphor, it becomes more clear that the Library of Babel is a metaphor for Heaven, except no one can figure it out exactly. There are a lot of references to god, keeps, and mythological people and creatures.

My First Post

Its is Thursday, Junauary 11th at 6:13 PM. I have just finished typing the first line of my first blog.