Almost sure, you are acquainted with two-dimensional spreadsheets, such as those produced by Microsoft Excel and other products. In your opinion, is this spreadsheet a "computational modelTM"? Could you possibly expand on your answer?
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Almost sure, you are acquainted with two-dimensional spreadsheets, such as those produced by Microsoft Excel and other products. In your opinion, is this spreadsheet a "computational modelTM"? Could you possibly expand on your answer?
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- You almost definitely have some experience working with two-dimensional spreadsheets, such as those produced by Microsoft Excel or other tools of a similar kind. To your way of thinking, does a spreadsheet such as this count as a "computational modelTM"? I would appreciate it if you could expand on your answer.What are the differences between spreadsheet and computer models?What are the primary distinctions between a model created on a computer and one created using a spreadsheet?
- Whenever you hear the word "email," what images spring to mind? What happens to an email once it is sent? Make a list of everything you've learnt so far. I'm curious if anybody has any insight into the causes of these discrepancies. Does the level of complexity in your models vary?What comes to mind when you think of email? What occurs after an email has been sent? Make a note of everything you have learned up to this point. Does anybody know what these disparities' root causes are, and if so, what they are? Do your models support various degrees of complexity?Carefully crafted equations in a spreadsheet won't ever require updating, no matter what changes are made to the data or the parameters. Is It True?
- How do you envision e-mail? How does an email message go from one place to another? Make a list of your discoveries. Exactly what are the differences and why are they made? Assume that several models have differing degrees of complexity (or abstraction).What do you think of when you think about email? In order to send an email, what is the process via which it travels? Make a list of all the things you've learned thus far. Is there a reason for the variances, and what are they? Allow for varying levels of complexity in various models (or abstraction).What mental pictures do you conjure up when you consider email? When an email is sent, what exactly happens? Make a rundown of all the information you have uncovered so far. Does anyone know what the root reasons of these disparities are? Do your models work well with varying degrees of complexity?
- What image of e-mail do you have in your mind? How does a message travel to its intended recipient after it is sent? Make a mental note of all you've learned. What are the differences and why do they exist? Consider the level of complexity (or abstraction) that various types of models contain.When you think about email, what images pop into your head? What occurs after an email is sent? Jot down anything you can think of at the moment. Is there anybody or anything we can point the finger at for these discrepancies? How successfully do your models scale up or down in complexity?When you think about email, what images spring to mind? What happens when you click "send" on an email? Anything that occurs to mind right now should be noted down. Can we attribute the contradictions to a particular entity or thing? the complexity of the data sources that your models are analysing.
