| Name | Date | Teacher |
|---|---|---|
| Nathan Luckock | Bro McGary |
A classic Snake game built with JavaScript that includes both manual play and an AI mode. The game will have multiple difficulty levels, score tracking, and a simple AI algorithm that automatically plays the game. Players can switch between manual control and watching the AI play, with features like game speed adjustment and collision detection.
Mark an X next to the module you are planning
| Module | Language | ||
|---|---|---|---|
| Cloud Databases | Java | ||
| Data Analysis | Kotlin | ||
| Game Framework | x | R | |
| GIS Mapping | Erlang | ||
| Mobile App | JavaScript | x | |
| Networking | C# | ||
| Web Apps | TypeScript | ||
| Language – C++ | Rust | ||
| SQL Relational Databases | Choose Your Own Adventure |
Create a detailed schedule using the table below to complete your selected module during this Sprint. Include details such as what (task), when (time), where (location), and duration. You should also include time to work on your team project. You are expected to spend 16 hours every Sprint working on your individual module, team project, and other activities. Time spent on this individual module should be at least 10 hours.
| First Week | Second Week | |
|---|---|---|
| Monday | Set up project, basic game board and snake movement (2 hours) | Add difficulty levels and score tracking (1 hour) |
| Tuesday | Implement food generation and collision detection (2 hours) | Polish UI and add game over screen (1 hour) |
| Wednesday | Add game controls and basic AI algorithm (2 hours) | Testing and bug fixes (1 hour) |
| Thursday | Improve AI logic and game speed controls (1 hour) | Create video demo and documentation (2 hours) |
| Friday | Add game restart and pause features (1 hour) | Final UI polish and features (1 hour) |
| Saturday | Write README and documentation (1 hour) | Final testing and GitHub push (1 hour) |
Identify at least two risks that you feel will make it difficult to succeed in this module. Identify an action plan to overcome each of these risks.
| Risk | Action Plan | |
|---|---|---|
| 1 | AI algorithm might be too complex to implement | Start with a simple pathfinding algorithm (like always moving toward food) and iterate |
| 2 | Game physics and collision detection bugs | Test collision detection early and often, use console.log for debugging |