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Project Description
This project showcases the strategic application of Object-Oriented Programming (OOP) principles and Java to develop a fully functional, interactive Battleship game. The game simulates complex decision-making processes by implementing dynamic player interactions, randomized AI behavior, and ship placement algorithms. With a focus on simulating real-world tactical decisions, the game mirrors economic models of resource management, risk mitigation, and competitive advantage.
Through the development of the Battleship game, I applied data analytics techniques to track and evaluate player moves, calculate optimal ship placements, and simulate strategic responses. These processes allowed for a deeper understanding of decision-making economics, balancing short-term tactical gains with long-term sustainability—a principle critical to both game strategy and business analytics.
Project Skills
Object-Oriented Programming (OOP): Utilized Java's core principles, including abstraction, encapsulation, inheritance, and polymorphism, to create a modular and scalable game architecture. Key classes such as Player, Board, and Ship were designed to encapsulate game logic, ensuring reusable, maintainable code.
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Artificial Intelligence Simulation: Integrated randomized decision-making for the computer player using Java's Random class, simulating autonomous behavior that mirrors competitive market scenarios.
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Data Analytics & Visualization: Developed methods to track game progress, analyze player and computer decisions, and display real-time feedback via a user-friendly text-based interface. This included insights into player accuracy, hit/miss ratios, and optimal decision-making paths.
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Risk Management: Implemented algorithms that mimic real-world economic trade-offs in competitive environments, balancing the risks of ship placement against potential rewards. Modeled player decisions as resource allocation challenges akin to inventory management and operational risk in business.
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Java Exception Handling & Control Flow: Ensured robust game operation through advanced error handling and control flow mechanisms, preventing invalid user input and maintaining the integrity of game progression.
Project Demostrates
In this project, I applied business strategy and game theory by emphasizing competitive decision-making strategies akin to those used in market analysis. By simulating opponent behavior and incorporating random external factors through an AI-controlled player, I mirrored how businesses anticipate and react to changing market conditions and competitor actions. Additionally, this project demonstrates the development of human capital through software engineering. My ability to design complex systems using Java highlights my technical expertise and critical thinking, both of which seamlessly translate into business environments. These skills are essential for effective data-driven decision-making, risk mitigation, and strategic planning. Lastly, the game integrates economic modeling concepts, dynamically adjusting to player and computer decisions to reflect key economic principles such as resource scarcity, risk allocation, and optimization. These concepts are vital for managing supply chains and operational workflows, showcasing how strategic adjustments lead to both short-term gains and long-term sustainability.