This repository contains comprehensive academic resources for the third year (1CS) at ENSIA, covering both semesters of the Artificial Intelligence & Data Science program.

The repository is organized by semesters, with each semester containing course-specific folders. Each course follows a consistent structure to help you navigate and find resources efficiently.

ENSIA-1CS/
├── S1/                                    # First Semester
│   ├── Data_Mining/
│   ├── Innovation&Entrepreneurship/
│   ├── Mobile_Dev/
│   ├── Networking&Protocols/
│   ├── Operations_Research/
│   ├── Software_Engineering/
│   └── Stochastic_Modeling&Simulation/
└── S2/                                    # Second Semester (Coming Soon)

Each course folder contains the following standardized structure:

• 📖 Lectures/ - Course presentations, slides, and theoretical materials
• 🧪 Labs/ - Laboratory exercises, practical work, and lab guides (when applicable)
• 📝 Exams/ - Past exams, midterms, solutions, and exam preparation materials
• 📚 First_Promo_Resources/ - Additional resources from previous cohorts
• 📋 Tutorials/ - Tutorial sessions and TD materials (when applicable)

• Focus: Data analysis, pattern recognition, and knowledge discovery
• Content: Clustering, classification, association rules, dimensionality reduction
• Resources: Course textbooks, lab solutions, exam materials

• Focus: Business innovation, startup methodology, entrepreneurial mindset
• Content: Innovation frameworks, business planning, entrepreneurship principles

• Focus: Mobile application development using Android and Flutter
• Content: Native Android (Kotlin), Flutter framework, UI/UX design, database integration
• Technologies: Android Studio, Flutter, SQLite, BLoC pattern

• Focus: Computer networks, communication protocols, network architecture
• Content: Network fundamentals, protocol stacks, network security, performance analysis

• Focus: Mathematical optimization, decision-making, problem-solving techniques
• Content: Linear programming, optimization algorithms, decision theory

• Focus: Software development lifecycle, methodologies, and best practices
• Content: Software design patterns, project management, quality assurance, testing

• Focus: Probability theory, statistical modeling, simulation techniques
• Content: Stochastic processes, Monte Carlo methods, statistical analysis

Resources for the second semester will be added as courses progress.

1. Navigate by Semester: Start with S1/ for first semester materials
2. Choose Your Course: Enter the specific course folder you need
3. Select Resource Type:
   • Use Lectures/ for theoretical study
   • Use Labs/ for practical exercises
   • Use Exams/ for exam preparation
   • Check First_Promo_Resources/ for additional materials

For questions, suggestions, or contributions, please feel free to open an issue or reach out to the repository maintainers.

Note: This repository is maintained by ENSIA 1CS students for educational purposes. All materials are shared in accordance with academic policies and fair use guidelines.