Assignment 1

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School

University Of Georgia *

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Course

3040

Subject

Industrial Engineering

Date

Dec 6, 2023

Type

docx

Pages

1

Uploaded by PYO1987

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I am interested in your answers to the following questions about the R Programming I course from earlier in the summer. Generally, I am aware that the mechanics of the course (deadline predictability, assignment posting, quizzes, etc.) were quite poor and did not meet my own standards for course organization. This will definitely be cleaned up for the fall launch of the course! I am more interested in your feedback about the quality of the instructional content so that I know whether or not I need to think about reorganizing the course, how the pacing of the course is, etc. Please respond to the extent to which you’re comfortable doing so. Although these are not anonymous, I appreciate all feedback (including feedback that is highly critical). What topic(s) from R Programming I do you feel like you still need additional practice with (if any)? I feel that I still need some additional practice in logistic regression and tests for robustness (i.e. multicollinearity, VIF, etc.) I think that these were the hardest topics to integrate in the final project as a result. What was the most challenging part(s) of the R Programming I final project? In addition to what I mentioned above, another challenging aspect of the final project was choosing the appropriate independent variables for analysis. There were so many options to choose from to the point that it was tough to eliminate what would fit best in the model as part of my hypothesis. Did you use any outside resources to help you complete the assignments/project? If so, what were they? I did not use any outside resources for the assignments, but for the project, I utilized tutorials on Stack Overflow for some of the more complex elements that I needed to include. What do you think about the level of statistical content in R Programming I? Should we go deeper? Is there anything you wish we would have covered that we did not? I think that the statistical content of the course was adequate. I had already learned most of this material in previous courses such as BUSN 3000 and 4000, but it was very helpful to see practical uses of it in R. One thing I wish we went more in depth for was the data visualizations. What was the most interesting thing we covered in R Programming I? I found creating data visualizations to be the most interesting topic of the course. Would you recommend the course to a friend? Why or why not? Yes, I feel that it was a good introduction to programming and data analytics in R in a relatively stress-free course (given that it’s pass-fail). Any additional feedback that doesn’t fit the above questions: One thing that would improve this course would be more content to go under the assignments, so that more practice of the material is incentivized.
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