FIT1051: Assignment Four Monash University

Assignment Overview

In this assignment, you will build a text-based life simulation game where a university student attempts to survive a week of study, work, and social activities. The program will model real-world trade-offs such as energy, money, grades, and happiness.

At the end of the simulation, the program reports whether the player has “survived” as a thriving student, barely scraped through, or completely burned out.

The task requires you to apply object-oriented programming principles, particularly inheritance and polymorphism.

Program Setup

Imagine you’re stepping into the sneakers of a fresh uni-student trying to juggle classes, work shifts, late-night Netflix binges, and the occasional party invite. The week ahead looks busy, and every choice you make will affect your energy, grades, money, and happiness. Your mission? Survive all 7 days without crashing, burning out, or going broke.

At the start, the user enters their name and receives a shiny new student ID. Everyone begins with the same stats — balanced, but not perfect: Energy = 50, Money = 100, Grades = 50, Happiness = 50. Think of it as the starter pack for survival.

Each day, the student can take part in up to two activities. Some are serious — like attending a lecture or grinding through a work shift. Others are social and fun — like a night out with friends or a TikTok scroll that magically lasts three hours. Then there’s self-care: hitting the gym or meditating to get life back on track.

When the student chooses their daily activities, most outcomes are straightforward: study improves grades, work earns money, socialising lifts happiness, and relaxation restores balance. But every so often, life throws a curveball. A popped bicycle tire means you miss your work shift and still lose energy. A late-night study session might leave you sick the next day. A big party could end with a lost wallet or a brutal hangover. Even self-care isn’t safe; the gym might be closed, or a quick Netflix session could turn into a doomscroll that tanks your grades.

Summary of Assessment Requirements

Assignment Title: Text-Based Life Simulation Game

The key task in this assessment is to design and implement a text-based life simulation game where the player, acting as a university student, must survive a week filled with classes, work, social events, and self-care activities. The player’s daily decisions influence four key parameters  Energy, Money, Grades, and Happiness which determine the final outcome of the simulation: whether the student thrives, barely survives, or completely burns out.

The core programming objective of this assignment is to apply object-oriented programming (OOP) principles, particularly inheritance and polymorphism, in developing the game.

Key Pointers to Be Covered:

1. Game Objective: Simulate a student’s week managing studies, work, and social life.

2. Initial Setup: Player inputs name and is assigned a student ID with default stats — Energy (50), Money (100), Grades (50), and Happiness (50).

3. Game Mechanics:

   • Each day allows up to two activities (study, work, socialise, self-care).

   • Each activity affects player stats differently.

   • Random life events or “curveballs” alter expected outcomes (e.g., sickness, missed work, lost money).

4. End Condition: After seven days, the program evaluates overall performance and classifies the outcome as thriving, surviving, or burned out.

5. Technical Focus: Implementation of OOP features including class design, inheritance hierarchy, method overriding, and encapsulation.

Approach Taken by the Academic Mentor

The academic mentor guided the student through a step-by-step process, ensuring a clear understanding of both conceptual and technical elements of the assignment.

Step 1: Understanding the Problem

The mentor began by helping the student interpret the problem statement thoroughly — focusing on how real-life scenarios could be translated into a simulation model. Together, they identified the key variables (Energy, Money, Grades, Happiness) and how each could fluctuate based on user choices.

Mentor’s Guidance:

• Break down the scenario into manageable components.

• Think logically about how daily activities affect different attributes.

• Keep user engagement and logical realism in balance.

Step 2: Designing the Object-Oriented Structure

The mentor emphasized the use of OOP principles to structure the game. This included defining classes such as 

Mentor’s Guidance:

• Create a base class containing shared attributes and methods.

• Implement inheritance to define specialized activities that override the base behavior.

• Use polymorphism to execute different actions dynamically depending on activity type.

• Maintain encapsulation by controlling access to variables and updating stats through class methods.

Step 3: Implementing Game Logic and Interactions

Once the structure was clear, the mentor assisted the student in coding the main game loop — allowing the player to choose activities, update stats, and handle random events.

Mentor’s Guidance:

• Implement clear user input prompts and validation.

• Apply conditional logic to trigger random events (e.g., missed work or illness).

• Ensure stat updates are logical and cumulative across the seven days.

• Introduce thresholds to determine final outcomes.

Step 4: Testing and Debugging

The mentor guided the student through iterative testing to ensure the simulation ran smoothly, with correct stat updates and logical event handling.

Mentor’s Guidance:

• Test for edge cases (e.g., what happens when Energy or Money reaches zero).

• Debug input/output formatting for a better user experience.

• Verify that OOP concepts were implemented correctly in the codebase.

Step 5: Evaluating and Presenting Results

In the final phase, the mentor encouraged the student to implement a results summary that classified the outcome based on the player’s stats after seven days.

Mentor’s Guidance:

• Define clear thresholds for each ending: Thriving, Surviving, or Burned Out.

• Format the final report clearly, reflecting the player’s performance.

• Review code readability and add comments explaining each method’s purpose.

Final Outcome and Learning Objectives Achieved

By the end of the project, the student successfully developed a fully functional, text-based simulation game demonstrating sound application of OOP concepts. The final output dynamically reflected real-life decision-making consequences and provided engaging gameplay logic.

Learning Objectives Covered:

1. Application of OOP Concepts: Implemented inheritance, polymorphism, and encapsulation effectively.

2. Problem-Solving Skills: Translated a real-world scenario into an interactive digital simulation.

3. Code Structuring and Modularity: Created reusable and organized code using class-based design.

4. Analytical Thinking: Understood cause-effect relationships between activities and outcomes.

5. Testing and Evaluation: Conducted debugging, testing, and result interpretation to improve program performance.

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