Quantitative Reasoning Reflection¶
This is a reflection on quantitative reasoning. However, instead of turning it in via a PDF or MS Word document, we’ll turn it in as a text document.
- Create a directory in your project called
Quantitative Reasoning Reflection.
- Inside that directory, create a new file called
reflection.txt. Don’t create it as a Python file, because this isn’t a Python program.
- In PyCharm, under the “File” menu, select “Settings…”. Then find “Editor” and under that “Code Style.” By default you could see a column guide set at 120 characters. Set this to 80 for now.
- Add your name, date, and a title to the document. Failure to do this is a three point penalty.
- Don’t write text beyond the 80 character limit. (Occasionally hitting 85 isn’t a big deal, but if you write 800 characters on a line, expect to get penalized.
- Use paragraphs. Most paragraphs are around five sentences long. While this isn’t a hard and fast rule, if your paragraph has 22 sentences, chances are, something’s wrong.
- Answer each question below. Commit and turn in just like a regular program. Use complete sentences and proper spelling. Label each question. Put a blank line between each question.
Each question is worth five points. Make sure you have five good points as part of your answer. I’d suggest drafting out five points, and then fill in the points with proper sentences, grammar, and punctuation. Examples are encouraged.
- Describe how you used multiple methods to add functionality to your program, and how you decided what method to use. For example, how did you use lists? “If” statements? Loops? Classes? Functions? Sample pieces of code? How did you decide which methods to apply? Feel free to give examples.
- Explain how you communicate your solution (from one programmer to another) when writing the code. Show how variable names matter, how function names matter, how comments and structure make your code easier to read.
- How did you test and evaluate the accuracy of your code? When something didn’t work, describe how you figured out what the error was. Also, how do you determine if data returned is correct data?
- What are the limitations to using numerical methods to make decisions? For example, why can’t we just replace humans with algorithms? Why can’t we just evaluate students based solely on test scores? Why can’t we evaluate teachers just on how their students do? What is the limitation to evaluating athletes just on their stats?