New Concepts to be applied for the assignment

• Parameter passing
• Function return values
• If you want credit for your work: Do not use any pre-created functions/methods unless you are given explicit permission to do so. [Generic list of allowable pre-created code in the form of python libraries]

Only new concepts that need to be applied in the assignment are listed, concepts previously applied in other assignments may need to used in the implementation of your solution.

Functional requirements

Similar to the previous program knowing your terminology is essential before starting this assignment. Write a program that consists of 4 functions.

1) start(): the starting execution point of the program. All instructions not defined in the other functions must be contained in the body of this function. The only executable instruction outside the body of a function is the call to run start function. This is similar to how the [second example] functional decomposition lecture example redesigned the [first example]. (Worth 1 GPA)

2) getInput(): the first function called by start(). It prompts and gets from the user a floating point number e.g. 5.59.  This number is then returned back to the caller (the start function). (Worth 1 GPA)

3) doubleIt(): the second function called by start(). Its input/parameter is the number returned by getInput() and it returns a double of the parameter. The doubled number is returned to start(). (Worth 1 GPA)

3) display(): the third function called by start(). Its input/parameter is the number returned by doubleIt() and this function displays that number to the console (text-based output) with two places of precision for the rational portion using a format specifier. (Worth 1 GPA)

Summary of functions to define:

How to do determine 'how you did' on an assignment? (Short answer: you can thoroughly test your program and become familiar with non-functional requirements)

Program functionality (implementing working program features)

• Test your program: Because the assignment description (along with required features) is posted ahead of time if you test your program thoroughly before submitting the final version then you should get a pretty clear idea of "how you will do".

Style and documentation (non-functional assignment requirements)

• To keep the marker's workload reasonable and to reduce marking time unless otherwise specified in the description these things will not factor into the grading of mini-assignments.

Non -functional assignment requirements (style and documentation)

Although it won't affect your grade for mini-assignments you should still practice applying good style in your solution as well as writing documentation. It will keep your skills for the full assignments (when you will be graded on these things) and get you used to having good habits.

• Naming conventions: You should employ good naming conventions for identifiers (variables and constants) as covered in the "Introduction to programming" section of the course.
  • Your file must be specifically named as specified under the specific point [Naming the file] under the "Marking and grading" heading.
• Named constants should be used as appropriate.
• Python documentation: This should be specified in the header of the program (very top of your program in the form of Python documentation). The basics of documentation were covered in the "Intro to programming" section of the course. Later sections may include additional details.
  • Identifying information: All assignments should include contact information (full name, student ID number and tutorial section [Here's a Link if you don't know how to find this information]) at the very top of your program.
  • Program version. (version date or version number).
    • Under the version you should specify which assignment features were implemented in that version. An example covering the use of program versioning and documentation was covered in the "Introduction to programming" lectures.
  • Any program limitations or weaknesses.
• In general: The program output and the program code itself (python program) must be properly aligned and formatted including whitespace as needed to group related parts and separate sections (which again was covered in the "Intro to programming" lectures of the course. Additional requirements in the formatting of output may be included in the "Functional requirements" section of the assignment.

Marking and grading

• What to submit: If your submission won't run using Python 3.x on any computer then it won't be awarded credit. It's up to you if you wish use the graphical program builder other than IDLE (or another development environment rather than a simple text editor) to write/run your programs but if you do you submit your program in the form of text ".py" file or files. 
  • All computer users:Be careful that you actually submit the file containing your program and not a related file, here's one example of a problem: operating systems sometimes create a "lock file" when a file is being edited to prevent multiple users or programs from trying to edit that file. (Names of lock files typically include the file being edited but begin with a tilde character e.g. the file being edited is 'a1.py' so the lock file is named '~a1.py'. Because the lock files do not contain the actual data take care that you don't accidentally submit the lock file instead of the file (some students have actually done this).
  • Windows users: take care that you don't accidentally submit a shortcut to a file instead of the actual file. (Check the file name and compare the file size to your original file. Simply downloading the shortcut file as a test won't work because that shortcut will work on your computer but not on anyone else's machine and this may mean your work won't be graded.)

• Naming the file containing your program: You must save your program in a file called "secondFunction.py". Failing to use this exact name will affect your grade by -0.2 GPA.

• Before the due date, late assignments or components of assignments/assignment extensions: Due dates are strict and extensions require acceptable documentation in order to get permission from the [course instructor]. If/when permission is awarded for a late submission then I will let the marker know that the regular penalty will not be applied (so when ask for an extension I need to know the name of that person). Alternate submission mechanisms to D2L (non exhaustive list of examples: email, uploads to cloud-based systems such as Google drive, time-stamps, TA memories) cannot be used as alternatives if you have forgotten to submit work or otherwise have not properly submitted into D2L. Only files submitted into D2L by the due date is what will be marked, everything else will be awarded no credit. The final cut off date after which full assignments will not be accepted is after the [maximum progressive penalty (listed below)] can be applied.
• Questions or concerns about grades after they have been released: Assignments will be marked by your tutorial instructor (the "Teaching Assistant" or "TA") for your tutorial section. When you see your assignment grades the marker is the person should be directing your questions towards. If you still have question after you have talked to your TA, then you can of course talk to your course (lecture) instructor but please indicate in your email that you first contacted your TA before going into your concerns. If you don't know which tutorial section you are officially registered in then you can find this information in the Student Center in the [PeopleSoft university portal].

• How you will be graded for mini assignments.  Since the grading for mini-assignments is often simple you find any feedback in (unlike full assignments a separate grading spreadsheet is not needed) in D2L  under Assessments->Dropbox and then clicking on the appropriate assignment link.

Collaboration:

Assignments must reflect individual work; group work is not allowed in this class nor can you copy the work of others. Some "do nots" for your solution: don't publically post it, don't email it out, don't show it to other students; or even verbally discuss solutions to any graded work (i.e. you can't do this in an exam so you can't do this for assignments). And unless otherwise told you should not use program code for other sources (which include but aren't limited to: tutors, artificial intelligence programs such as ChatGPT). For more detailed information as to what constitutes academic misconduct (i.e., cheating) for this course please read the following [link].

Method of submission:

Reminder: You are to submit your assignment using D2L [help link]. Make sure that you [check the contents of your submitted files] (e.g., is the file okay or was it corrupted, is it the correct version, it is the correct file etc.). It's your responsibility to do this! (Make sure that you submit your assignment with enough time before it comes due for you to do a check). If don't check and there were problems with the submission then you should not expect that you can "learn your lesson" and simply resubmit. Whatever you submitted into D2L by the final due date is what will be marked.

D2L configuration for this course

• Do not use compression utilities (such as zip) or archiving utilities (such as tar) otherwise your submission may not be marked. The space savings in D2L is not worth the extra time required by the marker to process each submission.
• How often can you submit: Multiple submissions are allowed for this assignment: You can (and really should) submit work as many times as you wish before the due date. However only the latest file submitted is the one that will be marked, everything else will be ignored (because it is not fair to your marker to sort through multiple versions of your files).
• What to submit: Python programs only (file name ends in .py)  Any other type of file will be rejected by D2L.

Late submissions for full assignments  when there is no extension granted: Make sure you give yourself enough time to complete the submission process so you don't get cut off by D2L's deadline (or your submission will be automatically flagged as late by D2L and it will be graded appropriately)..

General use of pre-created Python libraries:

Unless otherwise told you are to write the code yourself and not use any pre-created functions (or methods). For most assignments the usual acceptable functions include: print(), input() and the 'conversion' functions such as int(), float(), str(). In addition you use functions or methods with text formatting capabilities such as 'format()' or the 'write()' method of the 'sys' library module. You can use any method that you wish (e.g. using format specifiers or the 'format' method) to set the precision for the output. Look at the particular assignment description for a list of other functions/methods that you are allowed to use and still get credit in an assignment submission. If it's not listed then you should assume that you won't be able use the function and still be awarded credit.