INT101 – Python for AI (2024-25)

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INT101 – Python for AI (2024-25)
Assessment 1 – Code & Play Game Design Project

Assessment number
 1
Contribution to overall module assessment
 30%
Date on which assessment given
 Monday, 10 March 2025
Submission deadline
 Sunday, 18 May 2025

1. Learning Outcomes for this Assessment

This assessment aims to evaluate your ability to apply the fundamental Python programming concepts and constructs covered in this module. Through the development of a small-scale game, you will demonstrate your understanding of basic Python syntax, control structures, functions, and data structures. The project will provide a practical context for you to implement these concepts while fostering creativity and problem-solving skills.

This assessment directly aligns with learning outcomes A and B, allowing you to showcase your proficiency in using Python for real-world applications and your ability to translate theoretical knowledge into functional code.

By completing this project, you will not only reinforce your programming foundations but also gain hands-on experience in designing and implementing a tangible solution.

2. The Task

You are required to design and implement a command-line-based game platform in Python. The platform should allow players to select and play multiple games, input their player ID, and track their game history. The primary focus is on command-line visualization, but students are encouraged to explore creative ways to enhance the user experience. The objective of this assignment is to apply fundamental Python programming concepts (e.g., variables, control structures, functions, data structures) and basic programming constructs. It will also assess your ability to design a modular system, handle user input, and manage game records effectively. You should consider the following features:

Aspects
 Details
Command-Line Interface (CLI)
 Create a main menu that displays available games (e.g., "1. Snake", "2. Minesweeper"). - Allow players to input their ID upon entering the platform.
Provide clear instructions for navigation (e.g., "Enter 'q' to quit").
Game Implementation
 Implement at least two games (e.g., Snake, Minesweeper, Tic-Tac-Toe or any other games you interested in)
Each game should have basic rules and be playable in the command line.
Players should be able to return to the main menu during gameplay (e.g., by pressing a specific key like 'm').
Player Authentication and Game History
 Store player IDs and associate them with game records (e.g., scores, game duration).
Allow players to view their past game records after completing a game.
Modular Design
 Separate the code into modules for different components (e.g., 'main.py' for the CLI, ' game_snake.py' for the Snake game logic, ' record_manager.py' for managing player records).
Write clean, well-commented code with proper indentation and structure.INT101 Python for AI

3. The Written Report

You are required to produce a report of no more than 5 A4 pages that:
1) includes basic information – module code and title, your name, ID, and degree programme on the first page;
2) briefly describes the design and features of your command-line game platform, including the games implemented, user interaction methods, and how game records are managed (relate to Python programming concepts used);
3) provides a brief instruction section about how your program can be run effectively, including how to input the player ID, select games, and navigate within the platform (e.g., keyboard commands for gameplay and menu navigation);
4) contains a set of screenshots to demonstrate the functionality of your platform, including the main menu, gameplay interfaces, and game history display.

4. Submission of Work

1) Compress your written report, source code (.py), a short recording of running your main program (no more than 3min, you can speed up the recording) into a single zip/rar file. Name your zip/rar file in the following way: YourID_Surnamae_GivenName (e.g. 1234567_Peter_Packer).
2) Submit your zip/rar file on the Learning Mall Core module site, by Sunday, 18 May 2025.

Late submission will receive penalty in the marking in accordance with the University Code of Practice on Assessment. For each working day after the deadline, 5 marks (out of 100) will be deducted for up to 5 working days. However, the mark will not be reduced below the pass mark for the assessment. Work assessed below the pass mark will not be penalized for late submission of up to five days. Work received more than 5 working days after the deadline will receive a mark of 0.

5. Use of Generative AI (GAI)

We encourage the responsible and ethical use of Generative AI (GAI) tools to assist with your learning process. These tools can be particularly helpful for debugging code, understanding error messages, and generating ideas or snippets of code to overcome specific challenges. However, it is important to maintain academic integrity and adhere to the following guidelines:

1) Assistance in Debugging: You are permitted to use GAI tools to help identify and resolve bugs in your code. When doing so, ensure that you actively engage with the feedback provided by the tool, understand the suggested changes, and apply them thoughtfully.

2) Code Generation: While GAI can provide code snippets or suggestions, you must not use these tools to generate entire sections of your project's code. The core logic and implementation of your assignments should reflect your own work and understanding.

3) Report Writing: Similarly, when writing reports or documentation for your projects, the content must be your original work. You may use GAI to brainstorm ideas, improve clarity, or refine language, but directly copying generated text is strictly prohibited.

4) Citation: If you do use insights or small portions of generated content from GAI tools, make sure to cite them appropriately. Transparency about how you utilized these resources will be considered part of your academic honesty.

6. Backup and Academic Offenses

Backup your work. As good practice, you should always make sure that your work is securely backed up. This assignment is individual work. Plagiarism (e.g. misrepresenting another work or concept without proper acknowledgement and citation of the sources) and collusion (unauthorized collaboration or co-operation with others in preparation and production of assessment work) are serious academic offenses. Academic offenses will be dealt with in accordance with the University Code of Practice on Assessment.

7. Guidance to Marking

Students may be required to attend an interview to explain their work if deemed necessary for effective assessment of their submission.INT101 Python for AI

In the following table, each category builds on the requirements contained in the preceding category for assessment.

Category
 Requirement
First Class(≥70%)
Overall outstanding work. A well-structured and efficient implementation of all core requirements.

Games are fully functional, with smooth gameplay and minimal bugs.

Code is modular, well-commented, and follows best practices.

Report is clear, concise, and includes all required sections (screenshots, descriptions, instructions).

Innovative enhancements (e.g., ASCII art, sound effects) are implemented.

Second Upper (60 to 69%)
A comprehensive program that effectively implements all core requirements.

Games are functional with minor bugs.

Code is well-organized, with clear comments and proper structure.

Report is complete and within the page limit, but could be slightly improved in clarity or creativity.

Some optional enhancements are included.

Second Lower (50 to 59%)

A substantial program that implements most core requirements.

Games are functional but may have noticeable bugs or incomplete features.

Code is readable but lacks some modularity or comments.

Report includes all required sections but may lack detail or screenshots.

Minimal or no optional enhancements are implemented.

Third (40 to 49%)
A working program that implements basic functionality but lacks completeness or has significant bugs.

Games may be partially functional or lack key features.

Code is functional but poorly structured or commented.

Report is incomplete or lacks clarity, with limited screenshots or descriptions.

Fail (0 to 39%)
A program that fails to meet most core requirements or has critical errors.

Games are non-functional or barely operational.

Code is disorganized, uncommented, or difficult to understand.

Report is incomplete, unclear, or missing key sections.
Non- submission
A mark of 0 will be awarded for failure to submit the project or report.

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