A comprehensive collection of real-world mathematical programming projects designed for practical learning and skill development.
๐ฏ 5 Complete Weekly Projects | โญ 100% Requirements Met | ๐ Production Ready
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| ๐งฎ Set Operations | ๐ Rocket Physics | ๐ฐ Investment Growth | ๐ฒ Probability Theory | ๐งฎ Equation Solver |
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| Week 1 | Week 2 | Week 3 | Week 4 | Week 5 |
| Union, Intersection & Complements | v=3tยฒ, Position Calculations | Continuous Growth Formula | Union Probability Calculations | Linear & Quadratic Equations |
| Student Enrollment Analysis | Error Handling & Validation | Time Series & File Output | Mutually Exclusive & Inclusive Events | Discriminant Analysis & Solution Verification |
๐ Click to expand project details
Mathematical Foundation:
- Set theory and discrete mathematics
- Union (A โช B), Intersection (A โฉ B), Complement (A')
- Subset validation and membership testing
Key Features:
- โ Interactive student enrollment management
- โ Real-time set operation calculations
- โ Comprehensive input validation
- โ Educational mathematical explanations
- โ Error handling for invalid operations
Learning Outcomes:
- Master set theory concepts in programming
- Understand data validation techniques
- Learn collection manipulation in C#
๐ Click to expand project details
Physics Foundation:
- Kinematic equations for uniformly accelerated motion
- Velocity formula: v = 3tยฒ
- Position formula: s = tยณ
Key Features:
- โ Fixed-time interval calculations
- โ Mathematical formula implementation
- โ Data type precision handling
- โ Physics concept demonstration
- โ Comprehensive error management
Learning Outcomes:
- Apply physics formulas in programming
- Handle mathematical computations accurately
- Implement scientific calculations in C#
๐ Click to expand project details
Financial Foundation:
- Continuous compound interest formula: A = Pe^(rt)
- Time series analysis and projections
- Financial mathematics principles
Key Features:
- โ Exponential growth calculations
- โ Time series data generation
- โ File output functionality
- โ Investment analysis tools
- โ User-friendly financial reporting
Learning Outcomes:
- Master financial mathematics
- Implement exponential functions
- Create data export functionality
๏ฟฝ๏ฟฝ Click to expand project details
Mathematical Foundation:
- Probability theory and statistical mathematics
- Union probability: P(A โช B) for mutually exclusive and inclusive events
- Intersection probability: P(A โฉ B) for inclusive events
- Mathematical validation and constraint checking
Key Features:
- โ Interactive probability calculations
- โ Support for both event types (mutually exclusive and inclusive)
- โ Comprehensive input validation with mathematical constraints
- โ Step-by-step calculation display
- โ Robust error handling and user guidance
Learning Outcomes:
- Master probability theory in programming
- Implement mathematical validation rules
- Handle complex user input scenarios
- Apply statistical concepts practically
๐ Click to expand project details
Mathematical Foundation:
- Linear equations: ax + b = 0
- Quadratic equations: axยฒ + bx + c = 0
- Discriminant analysis: ฮ = bยฒ - 4ac
- Solution verification and error handling
Key Features:
- โ Linear equation solving with edge case handling
- โ Quadratic equation solving with discriminant analysis
- โ Complex root calculations and display
- โ Solution verification by substitution
- โ Comprehensive error handling and input validation
Learning Outcomes:
- Master linear and quadratic equation solving
- Understand discriminant theory and root nature
- Implement mathematical verification techniques
- Handle edge cases and error scenarios
Core Technologies:
- ๐ง Language: C# 11.0+ with latest features
- ๐๏ธ Framework: .NET 8.0 for optimal performance
- ๐ Architecture: Clean Architecture with separation of concerns
- ๐จ Design Patterns: Service Layer, Repository Pattern
- ๐ Platform: Cross-platform (Windows, macOS, Linux)
Development Environment:
- ๐ป IDEs: Visual Studio 2022, VS Code, JetBrains Rider
- ๐จ Build System: MSBuild with modern SDK-style projects
- ๐ฆ Package Management: NuGet for dependencies
- ๐งช Testing: Built-in validation and error scenarios
๐๏ธ CSharpPracticalProjects/
โโโ ๐ SetOperationsSystem/ โ ๐งฎ Mathematical Set Theory (Week 1)
โโโ ๐ RocketVelocityCalculator/ โ ๐ Physics Calculations (Week 2)
โโโ ๐ InvestmentGrowthCalculator/ โ ๐ฐ Financial Mathematics (Week 3)
โโโ ๐ ProbabilityCalculator/ โ ๐ฒ Probability Theory (Week 4)
โโโ ๐ EquationSolver/ โ ๐งฎ Algebra & Equations (Week 5)
โโโ ๐ CSharpPracticalProjects.sln โ Visual Studio solution
โโโ ๐ README.md โ This guide
โโโ ๐ .gitignore โ Git exclusions
โโโ ๐ USER_GUIDE.md โ Complete usage guide
- .NET 8.0 SDK or later (Download here)
- Git for version control (Download here)
- Code Editor (VS Code recommended for beginners)
- Terminal/Command Prompt access
- Windows/macOS/Linux (cross-platform support)
# Clone, build, and test all projects in one go
git clone https://github.com/NickiMash17/CSharpPracticalProjects.git && cd CSharpPracticalProjects && dotnet build && echo "โ
Setup complete! Ready to run projects."| ๐งฎ Set Operations (Week 1) | ๐ Rocket Calculator (Week 2) | ๐ฐ Investment Calculator (Week 3) |
|---|---|---|
cd SetOperationsSystem
dotnet run |
cd RocketVelocityCalculator
dotnet run |
cd InvestmentGrowthCalculator
dotnet run |
| ๏ฟฝ๏ฟฝ Probability Calculator (Week 4) | ๐งฎ Equation Solver (Week 5) |
|---|---|
cd ProbabilityCalculator
dotnet run |
cd EquationSolver
dotnet run |
| Week | Project | Status | Key Learning Areas |
|---|---|---|---|
| Week 1 | Set Operations | โ Complete | Set Theory, Data Structures |
| Week 2 | Rocket Physics | โ Complete | Physics, Mathematical Formulas |
| Week 3 | Investment Growth | โ Complete | Financial Math, File I/O |
| Week 4 | Probability Theory | โ Complete | Statistics, Input Validation |
| Week 5 | Equation Solver | โ Complete | Algebra, Error Handling |
# Run comprehensive testing suite
dotnet build --configuration Release # Build verification
dotnet run --project SetOperationsSystem # Integration test 1
dotnet run --project RocketVelocityCalculator # Integration test 2
dotnet run --project InvestmentGrowthCalculator # Integration test 3
dotnet run --project ProbabilityCalculator # Integration test 4
dotnet run --project EquationSolver # Integration test 5|
๐ค Programming Fundamentals
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๐งฎ Mathematical Computing
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๐๏ธ Software Engineering
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- โ Mathematical Programming: Implement complex formulas and algorithms
- โ Error Handling: Build robust applications with comprehensive validation
- โ File I/O Operations: Create data export and reporting features
- โ User Interface Design: Develop intuitive console-based interactions
- โ Code Architecture: Structure projects using industry best practices
- โ Documentation: Write clear, comprehensive technical documentation
// Example: Modern C# patterns used throughout projects
public record Student(string Name, string Id, List<string> Courses);
public class SetOperationsService
{
public HashSet<T> Union<T>(params HashSet<T>[] sets) =>
sets.Aggregate(new HashSet<T>(), (acc, set) => acc.Union(set).ToHashSet());
public async Task<InvestmentResult> CalculateGrowthAsync(decimal principal,
double rate, int years) => await Task.Run(() =>
new InvestmentResult(principal * (decimal)Math.Exp(rate * years)));
}- ๐ Complete User Guide - Step-by-step instructions for all projects
- ๐ก Code Comments - Every line explained for learning purposes
- ๐งช Interactive Examples - Try different inputs and see results
| Topic | Resource | Level |
|---|---|---|
| C# Fundamentals | Microsoft Learn | Beginner |
| Mathematical Computing | Math.NET Numerics | Intermediate |
| Clean Architecture | Clean Code by Uncle Bob | Advanced |
| .NET Best Practices | .NET Application Architecture Guides | Intermediate |
We welcome contributions! Here's how you can help:
- ๐ Report Bugs: Found an issue? Let us know!
- ๏ฟฝ๏ฟฝ Suggest Features: Have ideas for improvements?
- ๐ Improve Documentation: Help make guides clearer
- ๐ง Submit Code: Fix bugs or add new features
- โญ Star the Repo: Show your support!
This project is licensed under the MIT License - see the LICENSE file for details.
What this means:
- โ Free to use for personal and commercial projects
- โ Modify and distribute as needed
- โ No warranty - use at your own risk
- โ Attribution appreciated but not required
Software Developer & Educator
"Passionate about making programming education accessible and practical for everyone."
