Instruction
TITLE
Instructions: Find two credible studies/sources that have applied methods covered in this course to make an inference or provide statistical data to back a theory or hypothesis related to your own engineering discipline (ie. Electrical engineering, computer engineering, biomedical engineering, industrial engineering, etc.). Use this template to summarize the two studies or articles, describe what you have learned, and explain how they relate to what we have covered in IME 254. Be sure to correctly cite each resource.
INTRODUCTION
Introduce the general topics of the two sources and explain why you chose these sources for your report. (half a page max)
Resource 1: Title (each source summary should be one page)
Summarize the article (what is the main idea of the article?). Explain the main points of the study. Your goal here is to communicate what the article is about and identify the IME 254 tools and methods used in this particular source.
Resource 2: Title
Same as before
INCORPORATION (1/2 – 1 page)
This should be ½ to one full page in length. Compare and contrast the methods and concepts from IME 254 and those used in the articles you read.
SUMMARY (1/2 – 1 page)
Tell me what you learned in this section. Again, this should be ½ to one full page in length.
References:
Mason, C., Twomey, J., Wright, D., and Whitman, L., 2017, “Predicting Engineering Student Attrition Risk Using a Probabilistic Neural Network and Comparing Results with a Backpropagation Neural Network and Logistic Regression,” Res. High. Educ., pp. 1–19.
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