Congratulations You've Made It To The Final Week Of The Cour

Congratulations You've Made It To The Final Week Of The Coursein Th

Congratulations! You've made it to the final week of the course. In this final week of MTH/219T, you will learn about rational expressions. These types of expressions can be useful in solving distance-speed-time questions and modeling multi-person work problems. Respond to the following prompts in a minimum of 175 words: How do you think rational expressions will be applied in your future career? Provide an example in your explanation.

Paper For Above instruction

Rational expressions, which are ratios of polynomial functions, play a critical role in various professional fields, particularly in areas involving complex problem-solving and data analysis. In my future career, I anticipate applying rational expressions primarily in engineering, finance, and operations management, where they can model real-world situations with efficiency and precision. For instance, in engineering, rational expressions are useful when calculating the efficiency of machines or systems that involve multiple components with varying rates of operation. An example would be determining the combined speed of two interconnected conveyor belts operating at different speeds; rational expressions help in calculating the overall throughput or operation time, especially when the systems are interdependent. Similarly, in finance, rational expressions are crucial in analyzing ratios such as debt-to-equity or price-earnings ratios, which are fundamental for making investment decisions. Moreover, in operations management, rational expressions assist in optimizing workflows by modeling time and resource allocation across multiple tasks or processes. Overall, mastering rational expressions enhances problem-solving capabilities and supports data-driven decision-making in my future career.

References

  • Larson, R., & Edwards, B. H. (2017). Elementary and Intermediate Algebra. Cengage Learning.
  • Mitchell, W. (2019). Applied Mathematics for Business and Economics. Routledge.
  • Houghton, D., & Houghton, R. (2016). Applied Engineering Mathematics. CRC Press.
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  • Ross, S. M. (2014). Introduction to Probability and Statistics for Engineers and Scientists. Academic Press.
  • Wasson, D. L. (2020). Quantitative Methods for Decision Making. Pearson.
  • Trefethen, L. N. (2013). Approximation Theory and Approximation Practice. SIAM.
  • Gray, R. M., & Davisson, L. D. (2004). An Introduction to Statistical Signal Processing. Cambridge University Press.
  • Barone, M., & Niven, D. (2018). Engineering Mathematics. Oxford University Press.
  • Gonzalez, J. C., & Tuckerman, M. E. (2017). Applied Mathematics in Engineering. Springer.

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