PROG2007代做、代写Python设计程序

日期：2025-04-23 09:13

Assessment Brief

PROG2007 PROGRAMMING II

Summary

Title Assessment 3

Due Date Tuesday 22 April 11:59 pm AEST/AEDT (start of Week 7)

Length NA

Weighting 20%

Academic

Integrity

(See below for

limits of use

where GenAI is

permitted)

GenAI May be used for this assessment.

Please see the Academic Integrity section below for acceptable use of

GenAI in this assessment.

Submission Please see the Submission section below on how to submit your

assessment.

Unit Learning

Outcomes

This assessment task maps to the following ULOs:

ULO2: design, implement, test, and debug simple programs in an

object-oriented programming language.

ULO3: demonstrate how to use class mechanisms to support

encapsulation and efficient code.

ULO4: analyse and determine appropriate data structures and

iteration methods to support a solution.

Rationale

By integrating improvements in error handling, messaging, and testing into their codebase,

developers can enhance the overall quality and resilience of the Python bot. These

enhancements not only contribute to a smoother user experience but also bolster the code's

reliability and maintainability in the face of evolving requirements and challenges.

Task Description

You have 24 hours to complete the tasks based on improvement of your Assessment 2 solution.

You apply the concepts covered in Module 6 of this unit to demonstrate more advanced use of

exceptions and testing.

Task Instructions

Choose one (1) of the classes from your Assessment 2 submission that is best suited for the

following tasks.

1. Create a new file FirstName_LastName_A3.py and copy and paste the chosen class into it

2. Update the class to demonstrate your:

a. use of the raise keyword using built-in exceptions where appropriate.

b. use of a custom exceptions using the raise keyword where appropriately

3. Pick one of the methods in your class to test and create a new file to demonstrate:

a. a comprehensive testing approach using pytest

b. create a series of tests to ensure there are no possible errors left unhandled.

c. all tests must be in a file called FirstName_LastName_A3_Testing.py

Resources

Everything that you need to know to complete this assessment was covered in Module 6 of this

unit.

Task Submission

You can use PyCharm or VSCode to complete the assignment and your assignment must run

using Python 3. This is covered in the Getting Started section of MySCU.

The submission requirements are as follows:

• Your submission must be named as follows FirstName_LastName_A3.py and

FirstName_LastName_A3_Testing.py . For example:

o Alex_Hendry_A3.py

o Alex_Hendry_A3_Testing.py

• You are only required to submit your Python files and not your project files.

• You are required to use the WakaTime plugin and submit a screenshot of your

WakaTime dashboard when submitting your assignment clearly identifying how much

time you spent on each part of the assessment.

Please note that the file naming instructions in this assignment must be followed EXACTLY,

including the file names you are instructed to use. Failure to do so may result a requirement to

resubmit.

Academic Integrity

At Southern Cross University, academic integrity means behaving with the values of honesty,

fairness, trustworthiness, courage, responsibility and respect in relation to academic work.

The Southern Cross University Academic Integrity Framework aims to develop a holistic,

systematic and consistent approach to addressing academic integrity across the entire

University. For more information, see: SCU Academic Integrity Framework

NOTE: Academic Integrity breaches include unacceptable use of generative artificial intelligence

(GenAI) tools, the use of GenAI has not been appropriately acknowledged or is beyond the

acceptable limit as defined in the Assessment, poor referencing, not identifying direct

quotations correctly, close paraphrasing, plagiarism, recycling, misrepresentation, collusion,

cheating, contract cheating, fabricating information.

Use of GenAI

There are no limitations on using GenAI in this assignment providing you follow the following

guidelines:

• You understand the code you are submitting and can explain it.

• You are not using any concepts that are not taught in the unit.

• All code that was created using GenAI must be clearly identified using a comment. The

following are possible examples of comments you may use:

o This method was created using GenAI.

o This block of code was partly created using GenAI.

o This constructor was generated using ChatGPT.

• Your code runs without errors.

If your submission is deemed to be suspicious by your marker you may be asked to attend an

interview in your tutorial class to explain your code. If you cannot explain your code, you may

be submitted for academic integrity. Possible reasons your submission may be deemed

suspicious could include:

• Using programming concepts not taught in the unit.

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• Using programming concepts considered by your marker to be beyond your

programming abilities as demonstrated in the class.

• Submitting code suspected of being generated using GenAI software but is not clearly

identified.

To summarise:

• You can use GenAI as much as you like as long as you clearly identify the code you submit

and understand what it does.

• DO NOT SUBMIT ANY CODE THAT YOU DO NOT UNDERSTAND AND CANNOT EXPLAIN.

Collusion

Please note that your source code for this assignment will be run through a plagiarism detection

system designed for code that compares all assignments and highlights identical or very similar

submissions. If you are found to have colluded with other students, you will be submitted for

academic integrity.

Special Consideration

Please refer to the Special Consideration section of Policy.

https://policies.scu.edu.au/document/view-current.php?id=140

Late Submissions & Penalties

Please refer to the Late Submission & Penalties section of Policy.

https://policies.scu.edu.au/view.current.php?id=00255

Grades & Feedback

Assessments that have been submitted by the due date will receive an SCU grade. Grades and

feedback will be posted to the ‘Grades and Feedback’ section on the Blackboard unit site. Please

allow 7 days for marks to be posted.

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Assessment Brief

Assessment Rubric

Marking Criteria and

% allocation

High Distinction

(85–100%)

Distinction

(75–84%)

Credit

(65–74%)

Pass

(50–64%)

Fail

(0–49%)

Error handling and

validation strategies

50%

Applies comprehensive error

handling and validation

strategies, ensuring robust

program resilience and

flawless handling of all

potential exceptions.

Applies effective error

handling and validation

strategies, significantly

enhancing program

stability and effectively

managing most exceptions.

Adequately applies error

handling and validation

strategies, maintaining

program stability and

addressing common

exceptions appropriately.

Applies basic error

handling and validation

strategies, covering

essential exceptions and

maintaining minimal

program continuity.

Fails to apply effective

error handling and

validation strategies,

resulting in program

instability and inadequate

management of exceptions.

Class and Method

Testing

50%

Tests the class method

comprehensively using

pytest, covering all scenarios

and edge cases with

meticulous attention to

detail. Ensures all possible

errors are handled,

demonstrating a thorough

understanding of error

scenarios and effective error

handling mechanisms.

Implements testing with

pytest to validate the class

method, but may overlook

some edge cases.

Addresses most common

errors but may miss

handling less common

scenarios.

Utilizes pytest for testing

the class method, covering

common scenarios

adequately.

Shows understanding of

error handling but may

lack depth in addressing

less common cases.

Attempts testing with

pytest but lacks

thoroughness, potentially

missing important

scenarios.

Basic error handling is

present but may overlook

significant cases.

Fails to adequately test the

class method, leaving

critical scenarios

unhandled.

Lacks effective error

handling, increasing the

risk of program failures.

Description of SCU Grades

High Distinction:

The student’s performance, in addition to satisfying all of the basic learning requirements, demonstrates distinctive insight and ability in researching, analysing and

applying relevant skills and concepts, and shows exceptional ability to synthesise, integrate and evaluate knowledge. The student’s performance could be described

as outstanding in relation to the learning requirements specified.

Distinction:

The student’s performance, in addition to satisfying all of the basic learning requirements, demonstrates distinctive insight and ability in researching, analysing and

applying relevant skills and concepts, and shows a well-developed ability to synthesise, integrate and evaluate knowledge. The student’s performance could be

described as distinguished in relation to the learning requirements specified.

Credit:

The student’s performance, in addition to satisfying all of the basic learning requirements specified, demonstrates insight and ability in researching, analysing and

applying relevant skills and concepts. The student’s performance could be described as competent in relation to the learning requirements specified.

Pass:

The student’s performance satisfies all of the basic learning requirements specified and provides a sound basis for proceeding to higher-level studies in the subject

area. The student’s performance could be described as satisfactory in relation to the learning requirements specified.

Fail:

The student’s performance fails to satisfy the learning requirements specified.

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