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Chemicalengineers and computer science majors are two examples of high paying entry level jobs. Medical science and aerospace engineering are two fields that have seen significant growth over the last decade, ensuring that jobs are plentiful for those who invest in STEM degrees.
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This led me to studying chemicalengineering, before specialising in environmental chemistry. The skills I was using to measure traces of chemicals in the environment are very similar to those needed to analyse the chemistry of archaeological artefacts. I recommend taking as many science and mathematics courses as you can.
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A: We have learned a lot about science, technology, engineering and mathematics. in chemicalengineering and was able to review the team’s project and provide feedback on some of the technical issues. Q: What part of the project was the most fun? What part was the hardest? Q: What was your role with the team?
It’s a story I’ve told elsewhere , but one of the important elements for our purposes here is that in designing the system I called SMP (for “Symbolic Manipulation Program”) I ended up digging deeply into the foundations of computation, and its connections to areas like mathematical logic. I wrote about SMP.
The function Map takes a function f and “maps it” over a list: Comap does the “mathematically co-” version of this, taking a list of functions and “comapping” them onto a single argument: Why is this useful? You need to be able to easily define mathematically complicated boundary conditions. are Comap and ComapApply.
Scientific model — a conceptual or mathematical representation of a real-world phenomenon that allows scientists to study the phenomenon in more detail. Scientists can now turn their theories into mathematical models, which can then be expressed in software as simulations. Chemicalengineering with Professor Sven Schroeder.
Is it for chemicalengineering, or for sports analytics, or what?) Like a great generalization of mathematical notation from the distant past, it provides a streamlined way to broadly formalize things in computational termsand to systematically build things up. But in effect it has good enough general knowledge that it doesnt.
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